This work was funded by the USDA-ARS (CRIS 2030-21430-008-00D). TS is supported by the NSF Graduate Research Fellowship Program.

1. Collection and Separation of Root Endosphere, Rhizosphere, and Soil Samples
<ol>
	<li>Prior to entering the field, autoclave ultrapure water (at least 90 mL of water per sample) to sterilize. Prepare epiphyte removal buffer (at least 25 mL per sample) by adding 6.75 g of KH2PO4, 8.75 g of K2HPO4, and 1 mL of Triton X-100, to 1 L of sterile water. Sterilize the buffer using a vacuum filter with 0.2 &#181;m pore size.
	<ol>
		<li>For steps 1.2 to 1.5, wear clean gloves sterilized with ethanol at all times and replace the gloves between each sample to prevent contamination. Sterilize all equipment with 70% ethanol and wipe clean all equipment between samples. Before sampling, determine the optimal sampling depth for your experiment, and be consistent with all soil and root collections.</li>
	</ol>
	</li>
	<li>To collect bulk soil samples, use an ethanol-sterilized soil core collector to obtain soil that is free of plant roots by collecting a core approximately 23 to 30 cm from the base of the plant.</li>
	<li>Transfer the soil to a plastic bag, homogenize the soil by gentle shaking, and transfer an aliquot of the soil sample (approximately 600 mg) to fill one 2 mL tube. Immediately place the 2 mL tube on dry ice or flash freeze the tube in liquid N2 until ready to proceed with DNA extraction (step 2).
	<ol>
		<li>In some environments, the surrounding soil can contain plant material. In this case, use a sterilized 2 mm sieve to separate the plant debris from the soil prior to placing it in the plastic bag.</li>
	</ol>
	</li>
	<li>To collect the root and rhizosphere, use an ethanol-sterilized shovel to dig up the plant, taking care to obtain as much of the root as possible. Depth is dependent upon the plant. While small plants such as wheat can be removed by digging several centimeters, larger plants such as sorghum may require 30 cm or more. Gently shake off excess soil from the roots until there is approximately 2 mm of soil adhering to the root surface. 
	NOTE: Take care when working with small plants, with fragile roots, or in dry, high-clay content soils. Ideally, there should only be a thin layer of soil remaining on the roots after shaking. If large aggregates of soil remain, a rubber mallet can be used to dislodge the soil by gently hitting the base of the shoot. If the amount of soil remaining after this process exceeds or falls short of 2 mm, the approximate thickness should be noted.</li>
	<li>For large plants, use sterile scissors and/or shears to cut a representative subsection of roots and place a minimum of 500 mg of root tissue into a 50 mL conical vial. For smaller grasses, place the entire root system into the vial. Add enough epiphyte removal buffer to cover the roots, then immediately place the sample on dry ice or flash freeze the sample in liquid N2. 
	NOTE: Take care not to overfill the 50 mL conical vial, as it will make washing step difficult. There should be enough empty space such that the epiphyte buffer is able to flow to the bottom, surround the roots throughout the vial, and cover the top. Because some grasses have more root biomass than will fit into a 50 mL conical vial, a subsection of the roots should be collected. However, it should be noted that cutting the roots could lead to endophytic bacteria being washed out into the rhizosphere fraction, so breaking roots should be minimized. If samples are not processed immediately after returning to lab, they can be stored at -80 &#176;C.</li>
	<li>To separate the rhizosphere from the roots, thaw the root sample on ice, then sonicate the root samples at 4 &#176;C for 10 min with pulses of 160 W for 30 s, separated by 30 s. Transfer the roots into a chilled (4 &#176;C), clean 50 mL tube using sterile forceps. Do not dispose the original tube with buffer and soil, which is the rhizosphere fraction (Figure 1).</li>
	<li>Centrifuge the tube containing buffer and rhizosphere for 10 min at 4 &#176;C, 4,000 x g. Decant the supernatant, flash freeze the tube containing the rhizosphere fraction in liquid N2, and store the rhizosphere fraction at -80 &#176;C until ready to proceed with DNA extraction (step 2).</li>
	<li>To wash the roots, add approximately 20 mL of chilled (4 &#176;C) sterile water to the root fraction. Wash the root by shaking vigorously (by hand or mixer, for 15 - 30 s), and then drain the water.</li>
	<li>Repeat this step at least twice, until no soil remains on the root surface. If the DNA extraction (step 2) is not performed immediately, wrap the roots in sterile aluminum foil, flash freeze the roots in liquid N2, and store the samples at -80 &#176;C until ready to proceed with DNA extraction.</li>
</ol>
2. DNA Extraction
NOTE: Throughout steps 2 and 3, clean gloves sterilized with ethanol should be worn at all times and all work should be performed on a surface sterilized with ethanol.
<ol>
	<li>Extract DNA from the soil and rhizosphere samples.
	<ol>
		<li>Use a sterile spatula to quickly transfer 250 mg of soil and rhizosphere from steps 1.3 and 1.7 into separate collection tubes provided in a commercial DNA isolation kit designed for extraction from soil, then proceed with DNA isolation using the kit supplier&#39;s protocol.</li>
		<li>After eluting the DNA in the elution buffer supplied by the DNA isolation kit, store the DNA at -20 &#176;C until ready to proceed with step 3.</li>
	</ol>
	</li>
	<li>Extract DNA from the root samples.
	<ol>
		<li>Chill a sterilized mortar and pestle using liquid N2. Measure out 600 to 700 mg of root tissue and place the tissue into the mortar. Carefully, add enough liquid N2 to cover the roots.</li>
		<li>Grind the roots into small pieces. Continue the process of adding liquid N2 and grinding (at least two times, be consistent between samples), until the roots are a fine powder. Ensure that the root tissue does not thaw during this step. 
		Caution: Use appropriate personal protective equipment (lab coat, protective eyewear, and cryogenic gloves) when working with liquid N2. 
		NOTE: For a low-quality DNA extraction, it can be beneficial to grind excess roots into powder and store the powder at -80 &#176;C.</li>
		<li>Quickly, before the root powder begins to thaw, use a sterile spatula to transfer the root powder into pre-weighed 1.5 mL tubes on ice. Record the weight of the tube and powder. Typically, 300 - 400 mg of powder is transferred.</li>
		<li>Use a sterile spatula to quickly transfer 150 mg of root powder to the collection tube provided in a commercial DNA isolation kit designed for extraction from soil, then proceed with DNA isolation using the kit supplier&#39;s protocol. 
		NOTE: For some root samples, there can be a high concentration of organics remaining in the DNA pellet, which prevents the amplification of the DNA during PCR, especially when a different DNA extraction protocol (e.g., CTAB extraction) is used. If necessary, clean the DNA by following the instructions provided in the environmental DNA clean-up kit.</li>
	</ol>
	</li>
	<li>Measure the concentration of all DNA samples using a high-sensitivity benchtop fluorometer.
	<ol>
		<li>Add 1 - 20 &#181;L of each eluted DNA sample into tubes provided in the dsDNA high-sensitivity assay kit. Add fluorometer working solution (1:200 dye:buffer) up to 200 &#181;L.</li>
		<li>Prepare two additional tubes containing 10 &#181;L of DNA standard 1 (0 ng/&#181;L DNA) or 10 &#181;L of standard 2 (100 ng/&#181;L), and add 190 &#181;L of fluorometer working solution to each standard.</li>
		<li>Measure the concentration of the standards and each sample. If it is not done automatically, calculate the DNA concentration from the absorbance output by a linear regression of the two standards.</li>
	</ol>
	</li>
</ol>
3. Amplicon Library Preparation and Submission
<ol>
	<li>Set up materials for the amplification reaction.
	<ol>
		<li>Thaw DNA samples at 4 &#176;C and keep them on ice throughout step 3. Randomize the order of DNA samples to minimize bias due to the location on the PCR plate (Table 2.)</li>
		<li>In a 96-well PCR plate, dilute DNA from each sample in molecular-grade water to 5 ng/&#181;L in a total volume of 20 &#181;L. Add 20 &#181;L of molecular-grade water to the four corner wells as negative controls for amplification (blanks) (Table 2).</li>
		<li>Arrange the barcoded primers (10 &#181;M) in either PCR strip tubes or a 96-well plate such that they can be added with a multi-channel pipette (Figure 2).</li>
		<li>Prepare sufficient PCR master mix to amplify each DNA sample in triplicate. Prepare 1.5 &#181;L of BSA (20 mg/mL), 37.5 &#181;L of pre-made 2x master mix (composed of PCR buffer, MgCl2, dNTPs, and&#160;Taq&#160;DNA polymerase), 0.57 &#181;L of chloroplast PNA (100 &#181;M), 0.57 &#181;L of mitochondrial PNA (100 &#181;M), and 25.86 &#181;L of molecular grade water.</li>
		<li>Pour the master mix into a sterile 25 mL of multichannel pipette reservoir and distribute 66 &#181;L of master mix into each well of a new 96-well PCR plate using a multichannel pipette. 
		NOTE: When calculating reagent volumes for the master mix, make sure to also include the 4 blank wells per plate.</li>
		<li>Using a multi-channel pipette, add 6 &#181;L of 5 ng/&#181;L DNA (from the normalized DNA plate) to the master mix plate. Then add to the master plate 1.5 &#181;L of 10 &#181;M forward primer such that each column has a different forward barcode, and 1.5 &#181;L of 10 &#181;M reverse primer such that each row has a different reverse barcode (Figure 2). 
		NOTE: Prior to adding primers, the randomized plates and master mix could be used to amplify the ITS or ITS2 fungal genes if different primers were added. If this is the case, a similar primer design can be used.</li>
		<li>Spin down the plate briefly at 3,000 x g. Use a multi-channel pipette to mix gently, then divide into three plates with 25 &#181;L of reaction mixture. 
		NOTE: Although three replicates are not strictly necessary, it decreases the impact of technical variability.</li>
	</ol>
	</li>
	<li>Amplify the DNA in each plate using a thermocycler set to the following conditions: 180 s at 98 &#176;C, 30 cycles of: 98 &#176;C for 45 s (denaturing), 78 &#176;C for 10 s (PNA annealing), 55 &#176;C for 60 s (primer annealing), and 72 &#176;C for 90 s (extension), then 600 s at 72 &#176;C followed by a 4 &#176;C hold step. After the amplification, pool the three replicate plates into one single 96-well plate.</li>
	<li>Quantify the DNA using high-sensitivity fluorometer reagents in a 96-well plate reader.
	<ol>
		<li>Add 2 &#181;L of each PCR product to a 96-well microplate, along with 98 &#181;L of fluorometer working solution (1:200 dye:buffer). Include 4 wells as standards: 5 &#181;L of DNA standard 1 (0 ng/&#181;L DNA), 1 &#181;L of standard 2 (10 ng/&#181;L), 2 &#181;L of standard 2 (20 ng/&#181;L), and 5 &#181;L of standard 2 (50 ng/&#181;L). Then add fluorometer working solution for a final volume of 100 &#181;L. 
		NOTE: Each sample can be measured using a benchtop fluorometer as described in step 2.3 if a plate reader is not available.</li>
		<li>Calculate the DNA concentration from the absorbance output by a linear regression of the four standards.</li>
		<li>For the successfully amplified barcoded products (those that have a concentration greater than 15 ng/&#181;L), pool 100 ng of each sample into a single 1.5 mL tube (Table 2).</li>
		<li>Calculate the average volume of samples added to the pool by using the =AVERAGE() function in a spreadsheet program. Add the volume of the &#34;blank&#34; PCR products to the pooled samples. 
		NOTE: Since the &#34;blank&#34; PCR products have their own unique barcode combinations, they can be sequenced to check for any laboratory contaminants.</li>
	</ol>
	</li>
	<li>Measure the concentration of the pooled product using a benchtop fluorometer as described in step 2.3, and take 600 ng of DNA and dilute in molecular-grade water to a final volume of 100 &#181;L in a 1.5 mL tube. Store the remaining pooled product at -20 &#176;C.</li>
	<li>Wash the 600 ng DNA aliquot by following the established PCR purification process with paramagnetic purification beads in a 96-well format with a few exceptions.
	<ol>
		<li>Make a fresh 600 &#181;L aliquot of 70% ethanol. Shake the bottle of magnetic beads to re-suspend beads that settle to the bottom.</li>
		<li>Add 1x volume (100 &#181;L) of bead solution to the 600 ng aliquot of DNA. Mix thoroughly by pipetting 10 times. Incubate for 5 min at room temperature.</li>
		<li>Place the tube onto the magnetic stand for 2 min (or until solution is clear) to separate beads from solution. While the tube is still in the magnetic stand, aspirate the clear supernatant carefully without touching the magnetic beads, and discard the clear supernatant. 
		NOTE: At this point, the amplicon products are bound to the magnetic beads. Any beads that are disturbed or lost during aspiration will result in a loss of DNA.</li>
		<li>Leave the tube in the magnetic stand and add 300 &#181;L of 70% ethanol to the tube; incubate at room temperature for 30 s. Aspirate out the ethanol and discard. Repeat this process, and remove all ethanol after the second wash. Remove the tube from the magnetic stand, and air dry for 5 min.</li>
		<li>Add 30 &#181;L of molecular-grade water to the dried beads and mix by pipetting 10 times. Incubate at room temperature for 2 min. Return the tube to the magnetic stand for 1 min to separate the beads from solution. Transfer the eluate to a new tube. 
		NOTE: Magnetic beads will not affect downstream reactions.</li>
	</ol>
	</li>
	<li>Measure the final concentration of cleaned, pooled DNA using a benchtop fluorometer as described in step 2.3. Dilute an aliquot to 10 nM in a final volume of 30 &#181;L, or to the concentration and volume preferred by the sequencing facility.</li>
	<li>Utilize the services of a sequencing facility to sequence the DNA on a NGS platform, 2 x 300 bp paired-end sequencing.</li>
</ol>

<ol><li>Goodwin, S., McPherson, J. D., McCombie, W. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Coming+of+age%3A+ten+years+of+next-generation+sequencing+technologies%5BTitle%5D)+AND+%22Nat+Rev+Genet%22%5BJournal%5D)">Coming of age: ten years of next-generation sequencing technologies.</a> Nat Rev Genet. 17 (6), 333-351 (2016).</li>
<li>Soergel, D. A. W., Dey, N., Knight, R., Brenner, S. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Selection+of+primers+for+optimal+taxonomic+classification+of+environmental+16S+rRNA+gene+sequences%5BTitle%5D)+AND+%22ISME+J%22%5BJournal%5D)">Selection of primers for optimal taxonomic classification of environmental 16S rRNA gene sequences.</a> ISME J. 6 (7), 1440-1444 (2012).</li>
<li>Takahashi, S., Tomita, J., Nishioka, K., Hisada, T., Nishijima, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Development+of+a+Prokaryotic+Universal+Primer+for+Simultaneous+Analysis+of+Bacteria+and+Archaea+Using+Next-Generation+Sequencing%5BTitle%5D)+AND+%22PLoS+One%22%5BJournal%5D)">Development of a Prokaryotic Universal Primer for Simultaneous Analysis of Bacteria and Archaea Using Next-Generation Sequencing.</a> PLoS One. 9 (8), e105592(2014).</li>
<li>Poretsky, R., Rodriguez-R, L. M., Luo, C., Tsementzi, D., Konstantinidis, K. T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Strengths+and+Limitations+of+16S+rRNA+Gene+Amplicon+Sequencing+in+Revealing+Temporal+Microbial+Community+Dynamics%5BTitle%5D)+AND+%22PLoS+One%22%5BJournal%5D)">Strengths and Limitations of 16S rRNA Gene Amplicon Sequencing in Revealing Temporal Microbial Community Dynamics.</a> PLoS One. 9 (4), e93827(2014).</li>
<li>Sharpton, T. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((An+introduction+to+the+analysis+of+shotgun+metagenomic+data%5BTitle%5D)+AND+%22Front+Plant+Sci%22%5BJournal%5D)">An introduction to the analysis of shotgun metagenomic data.</a> Front Plant Sci. 5, 209(2014).</li>
<li>Jiao, J. -Y., Wang, H. -X., Zeng, Y., Shen, Y. -M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Enrichment+for+microbes+living+in+association+with+plant+tissues%5BTitle%5D)+AND+%22J+Appl+Microbiol%22%5BJournal%5D)">Enrichment for microbes living in association with plant tissues.</a> J Appl Microbiol. 100 (4), 830-837 (2006).</li>
<li>Richter-Heitmann, T., Eickhorst, T., Knauth, S., Friedrich, M. W., Schmidt, H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Evaluation+of+Strategies+to+Separate+Root-Associated+Microbial+Communities%3A+A+Crucial+Choice+in+Rhizobiome+Research%5BTitle%5D)+AND+%22Front+Microbiol%22%5BJournal%5D)">Evaluation of Strategies to Separate Root-Associated Microbial Communities: A Crucial Choice in Rhizobiome Research.</a> Front Microbiol. 7, 773(2016).</li>
<li>Mahmoudi, N., Slater, G. F., Fulthorpe, R. R., Mahmoudi, N., Slater, G. F., Fulthorpe, R. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Comparison+of+commercial+DNA+extraction+kits+for+isolation+and+purification+of+bacterial+and+eukaryotic+DNA+from+PAH-contaminated+soils%5BTitle%5D)+AND+%22Can+J+Microbiol%22%5BJournal%5D)">Comparison of commercial DNA extraction kits for isolation and purification of bacterial and eukaryotic DNA from PAH-contaminated soils.</a> Can J Microbiol. 5709, 623-628 (2011).</li>
<li>Vishnivetskaya, T. A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Commercial+DNA+extraction+kits+impact+observed+microbial+community+composition+in+permafrost+samples%5BTitle%5D)+AND+%22FEMS+Microbiol+Ecol%22%5BJournal%5D)">Commercial DNA extraction kits impact observed microbial community composition in permafrost samples.</a> FEMS Microbiol Ecol. 87 (1), 217-230 (2014).</li>
<li>Busby, P. E., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Research+priorities+for+harnessing+plant+microbiomes+in+sustainable+agriculture%5BTitle%5D)+AND+%22PLoS+Biol%22%5BJournal%5D)">Research priorities for harnessing plant microbiomes in sustainable agriculture.</a> PLoS Biol. 15 (3), e2001793(2017).</li>
<li>Thompson, L. R., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((A+communal+catalogue+reveals+Earth%27s+multiscale+microbial+diversity%5BTitle%5D)+AND+%22Nature%22%5BJournal%5D)">A communal catalogue reveals Earth's multiscale microbial diversity.</a> Nature. , (2017).</li>
<li>Caporaso, J. G., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Ultra-high-throughput+microbial+community+analysis+on+the+Illumina+HiSeq+and+MiSeq+platforms%5BTitle%5D)+AND+%22ISME+J%22%5BJournal%5D)">Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms.</a> ISME J. 6 (8), 1621-1624 (2012).</li>
<li>Kozich, J. J., Westcott, S. L., Baxter, N. T., Highlander, S. K., Schloss, P. D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Development+of+a+Dual-Index+Sequencing+Strategy+and+Curation+Pipeline+for+Analyzing+Amplicon+Sequence+Data+on+the+MiSeq+Illumina+Sequencing+Platform%5BTitle%5D)+AND+%22Appl+Environ+Microb%22%5BJournal%5D)">Development of a Dual-Index Sequencing Strategy and Curation Pipeline for Analyzing Amplicon Sequence Data on the MiSeq Illumina Sequencing Platform.</a> Appl Environ Microb. 79 (17), 5112-5120 (2013).</li>
<li>Degnan, P. H., Ochman, H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Illumina-based+analysis+of+microbial+community+diversity%5BTitle%5D)+AND+%22ISME+J%22%5BJournal%5D)">Illumina-based analysis of microbial community diversity.</a> ISME J. 6 (1), 183-194 (2012).</li>
<li>Naylor, D., DeGraaf, S., Purdom, E., Coleman-Derr, D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Drought+and+host+selection+influence+bacterial+community+dynamics+in+the+grass+root+microbiome%5BTitle%5D)+AND+%22ISME+J%22%5BJournal%5D)">Drought and host selection influence bacterial community dynamics in the grass root microbiome.</a> ISME J. , (2017).</li>
<li>Desgarennes, D., Garrido, E., Torres-Gomez, M. J., Peña-Cabriales, J. J., Partida-Martinez, L. P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Diazotrophic+potential+among+bacterial+communities+associated+with+wild+and+cultivated+Agave+species%5BTitle%5D)+AND+%22FEMS+Microbiol+Ecol%22%5BJournal%5D)">Diazotrophic potential among bacterial communities associated with wild and cultivated Agave species.</a> FEMS Microbiol Ecol. 90 (3), 844-857 (2014).</li>
<li>Coleman-Derr, D., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Plant+compartment+and+biogeography+affect+microbiome+composition+in+cultivated+and+native+Agave+species%5BTitle%5D)+AND+%22New+Phytol%22%5BJournal%5D)">Plant compartment and biogeography affect microbiome composition in cultivated and native Agave species.</a> New Phytol. 209 (2), 798-811 (2016).</li>
<li>De Tender, C., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Dynamics+in+the+Strawberry+Rhizosphere+Microbiome+in+Response+to+Biochar+and+Botrytis+cinerea+Leaf+Infection%5BTitle%5D)+AND+%22Front+Microbiol%22%5BJournal%5D)">Dynamics in the Strawberry Rhizosphere Microbiome in Response to Biochar and Botrytis cinerea Leaf Infection.</a> Front Microbiol. 7, 2062(2016).</li>
<li>Kapp, J. R., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Variation+in+pre-PCR+processing+of+FFPE+samples+leads+to+discrepancies+in+BRAF+and+EGFR+mutation+detection%3A+a+diagnostic+RING+trial%5BTitle%5D)+AND+%22J+Clin+Pathol%22%5BJournal%5D)">Variation in pre-PCR processing of FFPE samples leads to discrepancies in BRAF and EGFR mutation detection: a diagnostic RING trial.</a> J Clin Pathol. 68 (2), 111-118 (2015).</li>
<li>Simbolo, M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((DNA+qualification+workflow+for+next+generation+sequencing+of+histopathological+samples%5BTitle%5D)+AND+%22PLoS+One%22%5BJournal%5D)">DNA qualification workflow for next generation sequencing of histopathological samples.</a> PLoS One. 8 (6), e62692(2013).</li>
<li>O'Neill, M., McPartlin, J., Arthure, K., Riedel, S., McMillan, N. <a target="_blank" href="http://iopscience.iop.org/article/10.1088/1742-6596/307/1/012047/meta">Comparison of the TLDA with the Nanodrop and the reference Qubit system.</a> J Phys Conf Ser. 307 (1), 012047(2011).</li>
<li>Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A., Holmes, S. P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((DADA2%3A+High-resolution+sample+inference+from+Illumina+amplicon+data%5BTitle%5D)+AND+%22Nat+Methods%22%5BJournal%5D)">DADA2: High-resolution sample inference from Illumina amplicon data.</a> Nat Methods. 13 (7), 581-583 (2016).</li>
<li>Amir, A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Deblur+Rapidly+Resolves+Single-Nucleotide+Community+Sequence+Patterns%5BTitle%5D)+AND+%22mSystems%22%5BJournal%5D)">Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns.</a> mSystems. 2 (2), e00191-e00116 (2017).</li>
<li>Edgar, R. C. <a target="_blank" href="https://www.biorxiv.org/content/early/2016/10/15/081257">UNOISE2: improved error-correction for Illumina 16S and ITS amplicon sequencing.</a> bioRxiv. , 081257(2016).</li>
<li>Nguyen, N. -P., Warnow, T., Pop, M., White, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((A+perspective+on+16S+rRNA+operational+taxonomic+unit+clustering+using+sequence+similarity%5BTitle%5D)+AND+%22NPJ+Biofilms+Microbiomes%22%5BJournal%5D)">A perspective on 16S rRNA operational taxonomic unit clustering using sequence similarity.</a> NPJ Biofilms Microbiomes. 2, 16004(2016).</li>
<li>Callahan, B. J., McMurdie, P. J., Holmes, S. P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Exact+sequence+variants+should+replace+operational+taxonomic+units+in+marker-gene+data+analysis%5BTitle%5D)+AND+%22ISME+J%22%5BJournal%5D)">Exact sequence variants should replace operational taxonomic units in marker-gene data analysis.</a> ISME J. , (2017).</li>
<li>Lundberg, D. S., Yourstone, S., Mieczkowski, P., Jones, C. D., Dangl, J. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Practical+innovations+for+high-throughput+amplicon+sequencing%5BTitle%5D)+AND+%22Nat+Methods%22%5BJournal%5D)">Practical innovations for high-throughput amplicon sequencing.</a> Nat Methods. 10 (10), 999-1002 (2013).</li>
<li>O'Brien, S. L., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Spatial+scale+drives+patterns+in+soil+bacterial+diversity%5BTitle%5D)+AND+%22Environ+Microbiol%22%5BJournal%5D)">Spatial scale drives patterns in soil bacterial diversity.</a> Environ Microbiol. 18 (6), 2039-2051 (2016).</li>
<li>Fierer, N., Lennon, J. T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((The+generation+and+maintenance+of+diversity+in+microbial+communities%5BTitle%5D)+AND+%22Am+J+Bot%22%5BJournal%5D)">The generation and maintenance of diversity in microbial communities.</a> Am J Bot. 98 (3), 439-448 (2011).</li>
<li>Fierer, N. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Embracing+the+unknown%3A+disentangling+the+complexities+of+the+soil+microbiome%5BTitle%5D)+AND+%22Nat+Rev+Microbiol%22%5BJournal%5D)">Embracing the unknown: disentangling the complexities of the soil microbiome.</a> Nat Rev Microbiol. 15 (10), 579-590 (2017).</li>
<li>Buckley, D. H., Schmidt, T. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Diversity+and+dynamics+of+microbial+communities+in+soils+from+agro-ecosystems%5BTitle%5D)+AND+%22Environ+Microbiol%22%5BJournal%5D)">Diversity and dynamics of microbial communities in soils from agro-ecosystems.</a> Environ Microbiol. 5 (6), 441-452 (2003).</li>
<li>Salter, S. J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Reagent+and+laboratory+contamination+can+critically+impact+sequence-based+microbiome+analyses%5BTitle%5D)+AND+%22BMC+Biol%22%5BJournal%5D)">Reagent and laboratory contamination can critically impact sequence-based microbiome analyses.</a> BMC Biol. 12, 87(2014).</li>
<li>Weiss, S., Amir, A., Hyde, E. R., Metcalf, J. L., Song, S. J., Knight, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Tracking+down+the+sources+of+experimental+contamination+in+microbiome+studies%5BTitle%5D)+AND+%22Genome+Biol%22%5BJournal%5D)">Tracking down the sources of experimental contamination in microbiome studies.</a> Genome Biol. 15 (12), 564(2014).</li>
<li>Sutlović, D., Definis Gojanović, M., Andelinović, S., Gugić, D., Primorac, D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Taq+polymerase+reverses+inhibition+of+quantitative+real+time+polymerase+chain+reaction+by+humic+acid%5BTitle%5D)+AND+%22Croat+Med+J%22%5BJournal%5D)">Taq polymerase reverses inhibition of quantitative real time polymerase chain reaction by humic acid.</a> Croat Med J. 46 (4), 556-562 (2005).</li>
<li>Sutlovic, D., Gamulin, S., Definis-Gojanovic, M., Gugic, D., Andjelinovic, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Interaction+of+humic+acids+with+human+DNA%3A+proposed+mechanisms+and+kinetics%5BTitle%5D)+AND+%22Electrophoresis%22%5BJournal%5D)">Interaction of humic acids with human DNA: proposed mechanisms and kinetics.</a> Electrophoresis. 29 (7), 1467-1472 (2008).</li>
<li>Aleklett, K., Leff, J. W., Fierer, N., Hart, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Wild+plant+species+growing+closely+connected+in+a+subalpine+meadow+host+distinct+root-associated+bacterial+communities%5BTitle%5D)+AND+%22PeerJ%22%5BJournal%5D)">Wild plant species growing closely connected in a subalpine meadow host distinct root-associated bacterial communities.</a> PeerJ. 3, e804(2015).</li>
<li>Bogas, A. C., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Endophytic+bacterial+diversity+in+the+phyllosphere+of+Amazon+Paullinia+cupana+associated+with+asymptomatic+and+symptomatic+anthracnose%5BTitle%5D)+AND+%22Springerplus%22%5BJournal%5D)">Endophytic bacterial diversity in the phyllosphere of Amazon Paullinia cupana associated with asymptomatic and symptomatic anthracnose.</a> Springerplus. 4, 258(2015).</li>
<li>Hiscox, J., Savoury, M., Müller, C. T., Lindahl, B. D., Rogers, H. J., Boddy, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Priority+effects+during+fungal+community+establishment+in+beech+wood%5BTitle%5D)+AND+%22ISME+J%22%5BJournal%5D)">Priority effects during fungal community establishment in beech wood.</a> ISME J. 9 (10), 2246-2260 (2015).</li>
<li>Zhang, T., Yao, Y. -F. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Endophytic+Fungal+Communities+Associated+with+Vascular+Plants+in+the+High+Arctic+Zone+Are+Highly+Diverse+and+Host-Plant+Specific%5BTitle%5D)+AND+%22PLoS+One%22%5BJournal%5D)">Endophytic Fungal Communities Associated with Vascular Plants in the High Arctic Zone Are Highly Diverse and Host-Plant Specific.</a> PLoS One. 10 (6), e0130051(2015).</li>
<li>Ghyselinck, J., Pfeiffer, S., Heylen, K., Sessitsch, A., De Vos, P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((The+effect+of+primer+choice+and+short+read+sequences+on+the+outcome+of+16S+rRNA+gene+based+diversity+studies%5BTitle%5D)+AND+%22PLoS+One%22%5BJournal%5D)">The effect of primer choice and short read sequences on the outcome of 16S rRNA gene based diversity studies.</a> PLoS One. 8 (8), e71360(2013).</li>
<li>Wintzingerode, F., Landt, O., Ehrlich, A., Göbel, U. B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Peptide+nucleic+acid-mediated+PCR+clamping+as+a+useful+supplement+in+the+determination+of+microbial+diversity%5BTitle%5D)+AND+%22Appl+Environ+Microb%22%5BJournal%5D)">Peptide nucleic acid-mediated PCR clamping as a useful supplement in the determination of microbial diversity.</a> Appl Environ Microb. 66 (2), 549-557 (2000).</li>
<li>Cruaud, P., Vigneron, A., Lucchetti-Miganeh, C., Ciron, P. E., Godfroy, A., Cambon-Bonavita, M. -A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Influence+of+DNA+extraction+method%2C+16S+rRNA+targeted+hypervariable+regions%2C+and+sample+origin+on+microbial+diversity+detected+by+454+pyrosequencing+in+marine+chemosynthetic+ecosystems%5BTitle%5D)+AND+%22Appl+Environ+Microb%22%5BJournal%5D)">Influence of DNA extraction method, 16S rRNA targeted hypervariable regions, and sample origin on microbial diversity detected by 454 pyrosequencing in marine chemosynthetic ecosystems.</a> Appl Environ Microb. 80 (15), 4626-4639 (2014).</li>
<li>Yang, B., Wang, Y., Qian, P. -Y. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Sensitivity+and+correlation+of+hypervariable+regions+in+16S+rRNA+genes+in+phylogenetic+analysis%5BTitle%5D)+AND+%22BMC+Bioinformatics%22%5BJournal%5D)">Sensitivity and correlation of hypervariable regions in 16S rRNA genes in phylogenetic analysis.</a> BMC Bioinformatics. 17, 135(2016).</li>
</ol>

The authors have nothing to disclose.

This protocol demonstrates an established pipeline for exploring root endosphere, rhizosphere, and soil microbial community compositions, from field sampling to sample processing and downstream sequencing. Studying root-associated microbiomes presents unique challenges, due in part to the inherent difficulties in sampling from soil. Soils are highly variable in terms of physical and chemical properties, and different soil conditions can be separated by as little as a few millimeters28,<...

Plant-associated microbiomes consist of dynamic and complex microbial communities comprised of bacteria, archaea, viruses, fungi, and other eukaryotic microorganisms. In addition to their well-studied role in causing plant disease, plant-associated microbes can also positively influence plant health by improving tolerance to biotic and abiotic stresses, promoting nutrient availability, and enhancing plant growth through the production of phytohormones. For this reason, particular interest exists in characterizing the taxa that associate with plant root endospheres, rhizospheres, and the surrounding soil. While some microbes can be cultured in isolation on laboratory generated media, many cannot, in part because they may rely on symbiotic relationships with other microbes, grow very slowly, or require conditions that cannot be replicated in a lab environment. Because it circumvents the need for cultivation and is relatively inexpensive and high-throughput, sequence-based phylogenetic profiling of environmental and host-associated microbial samples has become a preferred method for assaying microbial community composition.
The selection of appropriate sequencing technologies provided by various next generation sequencing (NGS) platforms1 is dependent on the users&#39; needs, with important factors including: desired coverage, amplicon length, expected community diversity, as well as sequencing error-rate, read-length, and the cost-per-run/megabase. Another variable that needs to be considered in amplicon-based sequencing experiments is what gene will be amplified and what primers will be used. When designing or choosing primers, researchers are often forced to make tradeoffs between the universality of amplification and the taxonomic resolution achievable from the resulting amplicons. For this reason, these types of studies often chose primers and markers that selectively target specific subsets of the microbiome. Evaluating the composition of bacterial communities is commonly accomplished by sequencing one or more of the hypervariable regions of the bacterial 16S rRNA gene2,3. In this study, we describe an amplicon based sequencing protocol developed for a NGS platform that targets the 500 bp V3-V4 region of the bacterial 16S rRNA gene, which allows for broad amplification of bacterial taxa while also providing sufficient variability to distinguish between different taxa. Additionally, this protocol can easily be adapted for the use with other primer sets, such as those targeting the ITS2 marker of fungi or the 18S rRNA subunit of eukaryotes.
While other approaches such as shotgun metagenomics, metatranscriptomics, and single-cell sequencing, offer other advantages including resolved microbial genomes and more direct measurement of community function, these techniques are typically more expensive and computationally intensive than the phylogenetic profiling described here4. Additionally, performing shotgun metagenomics and metatranscriptomics on root samples yields a large percentage of reads belonging to the host plant genome, and methods to overcome this limitation are still being developed5,6.
As with any experimental platform, amplicon-based profiling can introduce a number of potential biases which should be considered during the experimental design and data analysis. These include the methods of sample collection, DNA extraction, selection of PCR primers, and how library preparation is performed. Different methods can significantly impact the amount of usable data generated, and can also hinder the efforts to compare results between studies. For example, the method of removing rhizosphere bacteria7 and the use of different extraction techniques or choice of DNA extraction kits8,9 have been shown to significantly impact downstream analysis, which leads to different conclusions regarding which microbes are present and their relative abundances. Since amplicon-based profiling can be customized, making comparisons across studies can be challenging. The Earth Microbiome Project has suggested that researchers studying complex systems such as the plant-associated microbiome would benefit from the development of standardized protocols as a means of minimizing the variability caused by the application of different methods between studies10,11. Here, we discuss many of the above topics and offer suggestions as to best practices where appropriate.
The protocol demonstrates the process of collecting soil, rhizosphere, and root samples from Sorghum bicolor and extracting DNA using a well-established DNA isolation kit11. Additionally, our protocol includes a detailed amplicon sequencing workflow, using a commonly utilized NGS platform, to determine the structure of the bacterial communities12,13,14. This protocol has been validated for the use in a wide range of plant hosts in a recent published study of the roots, rhizosphere, and associated-soils of 18 monocot species including Sorghum bicolor, Zea mays, and Triticum aestivum15. This method has also been validated for use with other marker genes, as demonstrated by its successful application to studying the fungal ITS2 marker gene in studies of the agave microbiome16,17 and strawberry microbiome18.

<table><tbody><tr><td>0.1-10/20 &amp;micro;L filtered micropipette tips</td><td>USA Scientific</td><td>1120-3810</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>1.5 mL microcentrifuge tubes</td><td>USA Scientific</td><td>1615-5510</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>10 &amp;micro;L multi-channel pipette</td><td>Eppendorf</td><td>3122000027</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>10 &amp;micro;L, 100 &amp;micro;L, and 1000 &amp;micro;L micropipettes</td><td>Eppendorf</td><td>3120000909</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>100 &amp;micro;L multi-channel pipette</td><td>Eppendorf</td><td>3122000043</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>1000 &amp;micro;L filtered micropipette tips</td><td>USA Scientific</td><td>1122-1830</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>2 mL microcentrifuge tubes</td><td>USA Scientific</td><td>1620-2700</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>2 mm soil sieve</td><td>Forestry Suppliers</td><td>60141009</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>200 &amp;micro;L filtered micropipette tips</td><td>USA Scientific</td><td>1120-8810</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>25 mL reservoirs</td><td>VWR International LLC</td><td>89094-664</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>50 mL conical vials</td><td>Thermo Fisher Scientific</td><td>352098</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>500 mL vacuum filters (0.2 &amp;micro;m pore size)</td><td>VWR International LLC</td><td>156-4020</td><td></td></tr><tr><td>96-well microplates</td><td>USA Scientific</td><td>655900</td><td></td></tr><tr><td>96-well PCR plates</td><td>BioRad</td><td>HSP9631</td><td></td></tr><tr><td>Agencourt AMPure XP beads</td><td>Thermo Fisher Scientific</td><td>NC9933872</td><td>Instructions for use:&lt;br/&gt; https://www.beckmancoulter.com/wsrportal/ajax/downloadDocument/B37419AA.pdf?autonomyId=TP_DOC_150180&lt;br/&gt;&amp;amp;documentName=B37419AA.pdf</td></tr><tr><td>Aluminum foil</td><td>Boardwalk</td><td>7124</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Analytical scale with 0.001 g resolution</td><td>Ohaus Pioneer</td><td>PA323</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Bioruptor Plus ultrasonicator</td><td>Diagenode</td><td>B01020001</td><td></td></tr><tr><td>Bovine Serum Albumin (BSA) 20 mg/mL</td><td>New England Biolabs</td><td>B9000S</td><td></td></tr><tr><td>Centrifuge</td><td>Eppendorf</td><td>5811000908</td><td>Including 50mL and 96-well plate bucket adapters</td></tr><tr><td>Cryogenic gloves</td><td>Millipore Sigma</td><td>Z183490</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>DNeasy PowerClean kit (optional)</td><td>Qiagen Inc.</td><td>12877-50</td><td>Previously MoBio</td></tr><tr><td>DNeasy PowerSoil kit</td><td>Qiagen Inc.</td><td>12888-100</td><td>Previously MoBio</td></tr><tr><td>Dry ice</td><td>Any</td><td>NA</td><td></td></tr><tr><td>DynaMag-2 magnet</td><td>Thermo Fisher Scientific</td><td>12321D</td><td>Do not substitute</td></tr><tr><td>Ethanol</td><td>VWR International LLC</td><td>89125-188</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Gallon size freezer bags</td><td>Ziploc</td><td>NA</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Gemini EM Microplate Reader</td><td>Molecular Devices</td><td>EM</td><td>Can use another fluorometer that reads 96-well plates from the top.</td></tr><tr><td>K&lt;sub&gt;2&lt;/sub&gt;HPO&lt;sub&gt;4&lt;/sub&gt;</td><td>Sigma-Aldrich</td><td>P3786</td><td></td></tr><tr><td>KH&lt;sub&gt;2&lt;/sub&gt;PO&lt;sub&gt;4&lt;/sub&gt;</td><td>Sigma-Aldrich</td><td>P5655</td><td></td></tr><tr><td>Lab coat</td><td>Workrite</td><td>J1367</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Liquid N&lt;sub&gt;2&lt;/sub&gt;</td><td>Any</td><td>NA</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Liquid N&lt;sub&gt;2&lt;/sub&gt; dewar</td><td>Thermo Fisher Scientific</td><td>4150-9000</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Milli-Q ultrapure water purification system</td><td>Millipore Sigma</td><td>SYNS0R0WW</td><td></td></tr><tr><td>Mini-centrifuge</td><td>Eppendorf</td><td>5404000014</td><td></td></tr><tr><td>Molecular grade water</td><td>Thermo Fisher Scientific</td><td>4387937</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Mortars</td><td>VWR International LLC</td><td>89038-150</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Nitrile gloves</td><td>Thermo Fisher Scientific</td><td>19167032B</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Paper towels</td><td>VWR International LLC</td><td>BWK6212</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>PCR plate sealing film</td><td>Thermo Fisher Scientific</td><td>NC9684493</td><td></td></tr><tr><td>PCR strip tubes</td><td>USA Scientific</td><td>1402-2700</td><td></td></tr><tr><td>Pestles</td><td>VWR International LLC</td><td>89038-166</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Plastic spatulas</td><td>LevGo, Inc.</td><td>17211</td><td></td></tr><tr><td>Platinum Hot Start PCR Master Mix (2x)</td><td>Thermo Fisher Scientific</td><td>13000014</td><td></td></tr><tr><td>PNAs - chloroplast and mitochondrial</td><td>PNA Bio</td><td>NA</td><td>Make sure to verify sequence bioinformatically</td></tr><tr><td>Protective eyewear</td><td>Millipore Sigma</td><td>Z759015</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Qubit 3.0 Fluorometer</td><td>Thermo Fisher Scientific</td><td>Q33216</td><td></td></tr><tr><td>Qubit dsDNA HS assay kit</td><td>Thermo Fisher Scientific</td><td>Q32854</td><td></td></tr><tr><td>Rubber mallet (optional)</td><td>Ace Hardware</td><td>2258622</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Shears or scissors</td><td>VWR International LLC</td><td>89259-936</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Shovel</td><td>Home Depot</td><td>2597400</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Soil core collector (small diameter: &amp;lt;1 inch)</td><td>Ben Meadows</td><td>221700</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Spray bottles</td><td>Santa Cruz Biotechnology</td><td>sc-395278</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Standard desalted barcoded primers (10 &amp;micro;M) (Table 1)</td><td>IDT</td><td>NA</td><td>4 nmole Ultramer DNA Oligo with standard desalting. NGS adapter and sequencing primer (Table 1) are designed for use with Illumina MiSeq using v3 chemistry.</td></tr><tr><td>Thermocycler</td><td>Thermo Fisher Scientific</td><td>E950040015</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Triton X-100</td><td>Sigma-Aldrich</td><td>X100</td><td>Can substitute with equivalent from other suppliers.</td></tr><tr><td>Weigh boats</td><td>Spectrum Chemicals</td><td>B6001W</td><td>Can substitute with equivalent from other suppliers.</td></tr></tbody></table>

exploring the root microbiome: extracting bacterial community data from the soil, rhizosphere, and root endosphere

The intimate interaction between plant host and associated microorganisms is crucial in determining plant fitness, and can foster improved tolerance to abiotic stresses and diseases. As the plant microbiome can be highly complex, low-cost, high-throughput methods such as amplicon-based sequencing of the 16S rRNA gene are often preferred for characterizing its microbial composition and diversity. However, the selection of appropriate methodology when conducting such experiments is critical for reducing biases that can make analysis and comparisons between samples and studies difficult. This protocol describes in detail a standardized methodology for the collection and extraction of DNA from soil, rhizosphere, and root samples. Additionally, we highlight a well-established 16S rRNA amplicon sequencing pipeline that allows for the exploration of the composition of bacterial communities in these samples, and can easily be adapted for other marker genes. This pipeline has been validated for a variety of plant species, including sorghum, maize, wheat, strawberry, and agave, and can help overcome issues associated with the contamination from plant organelles.

Performing the recommended protocol should result in a dataset of indexed paired-end reads that can be matched back to each sample and assigned to either a bacterial operational taxonomic units (OTU) or exact sequence variant (ESV, also referred to as amplicon sequence variant (ASV) and sub-operational taxonomic unit (sOTU)), depending on downstream analysis. In order to obtain high-quality sequence data, care must be taken at each step to maintain consistency between samples and minimize...

Watch this Scientific Journal Video about Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere at JoVE.com

Kök Mikrobiyomunu Keşfetmek: Topraktan, Rizosferden ve Kök Endosferinden Bakteriyel Topluluk Verilerinin Çıkarılması | Genetik | Video

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Here, we describe a protocol to obtain amplicon sequence data of soil, rhizosphere, and root endosphere microbiomes. This information can be used to investigate the composition and diversity of plant-associated microbial communities, and is suitable for the use with a wide range of plant species.

The intimate interaction between plant host and associated microorganisms is crucial in determining plant fitness, and can foster improved tolerance to ...

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26.7K Görüntüleme.  University of California, Berkeley. Burada, toprak, rizosferde ve kök endosphere microbiomes amplicon sıra verileri elde etmek için bir protokol açıklayın. Bu bilgiler kompozisyon ve çeşitlilik bitki ilişkili mikrobiyal toplulukların araştırmak için kullanılan ve bitki türlerinin geniş bir kullanım için uygundur.

Video: Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

A Lipid Extraction and Analysis Method for Characterizing Soil Microbes in Experiments with Many Samples

Microbial communities are important drivers and regulators of ecosystem processes. To understand how management of ecosystems may affect microbial communities, a relatively precise but effort-intensive technique to assay microbial community composition is phospholipid fatty acid (PLFA) analysis. PLFA was developed to analyze phospholipid biomarkers, which can be used as indicators of microbial biomass and the composition of broad functional groups of fungi and bacteria. It has commonly been used to compare soils under alternative plant communities, ecology, and management regimes. The PLFA method has been shown to be sensitive to detecting shifts in microbial community composition.
An alternative method, fatty acid methyl ester extraction and analysis (MIDI-FA) was developed for rapid extraction of total lipids, without separation of the phospholipid fraction, from pure cultures as a microbial identification technique. This method is rapid but is less suited for soil samples because it lacks an initial step separating soil particles and begins instead with a saponification reaction that likely produces artifacts from the background organic matter in the soil. 
This article describes a method that increases throughput while balancing effort and accuracy for extraction of lipids from the cell membranes of microorganisms for use in characterizing both total lipids and the relative abundance of indicator lipids to determine soil microbial community structure in studies with many samples. The method combines the accuracy achieved through PLFA profiling by extracting and concentrating soil lipids as a first step, and a reduction in effort by saponifying the organic material extracted and processing with the MIDI-FA method as a second step.

The article describes a method that increases throughput while balancing effort and accuracy for extraction of lipids from the cell membranes of microorganisms for use in characterizing both total lipids and the relative abundance of indicator lipids to determine soil microbial community structure in studies with many samples.

Çok Örnekli Deneylerde Toprak Mikroplarını Karakterize Etmek İçin Bir Lipid Ekstraksiyon ve Analiz Metodu

Microbial communities are important drivers and regulators of ecosystem processes. To understand how management of ecosystems may affect microbial ...

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Ecosystem Fabrication (EcoFAB) Protocols for The Construction of Laboratory Ecosystems Designed to Study Plant-microbe Interactions

Beneficial plant-microbe interactions offer a sustainable biological solution with the potential to boost low-input food and bioenergy production. A better mechanistic understanding of these complex plant-microbe interactions will be crucial to improving plant production as well as performing basic ecological studies investigating plant-soil-microbe interactions. Here, a detailed description for ecosystem fabrication is presented, using widely available 3D printing technologies, to create controlled laboratory habitats (EcoFABs) for mechanistic studies of plant-microbe interactions within specific environmental conditions. Two sizes of EcoFABs are described that are suited for the investigation of microbial interactions with various plant species, including Arabidopsis thaliana, Brachypodium distachyon, and Panicum virgatum. These flow-through devices allow for controlled manipulation and sampling of root microbiomes, root chemistry as well as imaging of root morphology and microbial localization. This protocol includes the details for maintaining sterile conditions inside EcoFABs and mounting independent LED light systems onto EcoFABs. Detailed methods for addition of different forms of media, including soils, sand, and liquid growth media coupled to the characterization of these systems using imaging and metabolomics are described. Together, these systems enable dynamic and detailed investigation of plant and plant-microbial consortia including the manipulation of microbiome composition (including mutants), the monitoring of plant growth, root morphology, exudate composition, and microbial localization under controlled environmental conditions. We anticipate that these detailed protocols will serve as an important starting point for other researchers, ideally helping create standardized experimental systems for investigating plant-microbe interactions.

Ecosystem Fabrication EcoFAB Protocols for The Construction of Laboratory Ecosystems Designed to Study Plant-microbe Interactions

This article describes detailed protocols for ecosystem fabrication of devices (EcoFABs) that enable the studies of plants and plant-microbe interactions in highly controlled laboratory conditions.

Ekosistem imalat (EcoFAB) protokolleri laboratuvar ekosistemlerinin bitki-mikrop etkileşimleri çalışma için tasarlanmış inşası için

Beneficial plant-microbe interactions offer a sustainable biological solution with the potential to boost low-input food and bioenergy production. A ...

Isolation and Analysis of Microbial Communities in Soil, Rhizosphere, and Roots in Perennial Grass Experiments

Plant and soil microbiome studies are becoming increasingly important for understanding the roles microorganisms play in agricultural productivity. The purpose of this manuscript is to provide detail on how to rapidly sample soil, rhizosphere, and endosphere of replicated field trials and analyze changes that may occur in the microbial communities due to sample type, treatment, and plant genotype. The experiment used to demonstrate these methods consists of replicated field plots containing two, pure, warm-season grasses (Panicum virgatum and Andropogon gerardii) and a low-diversity grass mixture (A. gerardii, Sorghastrum nutans, and Bouteloua curtipendula). Briefly, plants are excavated, a variety of roots are cut and placed in phosphate buffer, and then shaken to collect the rhizosphere. Roots are brought to the laboratory on ice and surface sterilized with bleach and ethanol (EtOH). The rhizosphere is filtered and concentrated by centrifugation. Excavated soil from around the root ball is placed into plastic bags and brought to the lab where a small amount of soil is taken for DNA extractions. DNA is extracted from roots, soil, and rhizosphere and then amplified with primers for the V4 region of the 16S rRNA gene. Amplicons are sequenced, then analyzed with open access bioinformatics tools. These methods allow researchers to test how the microbial community diversity and composition varies due to sample type, treatment, and plant genotype. Using these methods along with statistical models, the representative results demonstrate there are significant differences in microbial communities of roots, rhizosphere, and soil. Methods presented here provide a complete set of steps for how to collect field samples, isolate, extract, quantify, amplify, and sequence DNA, and analyze microbial community diversity and composition in replicated field trials.

Excavation of plant roots from the field as well as processing of samples into endosphere, rhizosphere, and soil are described in detail, including DNA extraction and data analysis methods. This paper is designed to enable other laboratories to use these techniques for the study of soil, endosphere, and rhizosphere microbiomes.

Yalıtım ve mikrobiyal topluluklarda toprak, rizosferde ve kökleri çok yıllık çim deneylerde Analizi

Plant and soil microbiome studies are becoming increasingly important for understanding the roles microorganisms play in agricultural productivity. The ...

An Optimized Rhizobox Protocol to Visualize Root Growth and Responsiveness to Localized Nutrients

Roots are notoriously difficult to study. Soil is both a visual and mechanical barrier, making it difficult to track roots in situ without destructive harvest or expensive equipment. We present a customizable and affordable rhizobox method that allows the non-destructive visualization of root growth over time and is particularly well-suited to studying root plasticity in response to localized resource patches. The method was validated by assessing maize genotypic variation in plasticity responses to patches containing 15N-labeled legume residue. Methods are described to obtain representative developmental measurements over time, measure root length density in resource-containing and control patches, calculate root growth rates, and determine 15N recovery by plant roots and shoots. Advantages, caveats, and potential future applications of the method are also discussed. Although care must be taken to ensure that experimental conditions do not bias root growth data, the rhizobox protocol presented here yields reliable results if carried out with sufficient attention to detail.

Visualizing and measuring root growth in situ is extremely challenging. We present a customizable rhizobox method to track root development and proliferation over time in response to nutrient enrichment. This method is used to analyze maize genotypic differences in root plasticity in response to an organic nitrogen source.

Kök büyüme ve yerelleştirilmiş besin kavramaları görselleştirmek için en iyi duruma getirilmiş bir Rhizobox Protokolü

Roots are notoriously difficult to study. Soil is both a visual and mechanical barrier, making it difficult to track roots in situ without destructive ...

Arabidopsis thaliana'da Rizobakteriyel Kolonizasyon Tespiti

Measuring Bacterial Colonization on Arabidopsis thaliana Roots in Hydroponic Condition

Measuring bacterial colonization on Arabidopsis thaliana root is one of the most frequent experiments in plant-microbe interaction studies. A standardized method for measuring bacterial colonization in the rhizosphere is necessary to improve reproducibility. We first cultured sterile A.thaliana in hydroponic conditions and then inoculated the bacterial cells in the rhizosphere at a final concentration of OD600 of 0.01. At 2 days post-inoculation, the root tissue was harvested and washed three times in sterile water to remove the uncolonized bacterial cells. The roots were then weighed, and the bacterial cells colonized on the root were collected by vortex. The cell suspension was diluted in a gradient with a phosphate-buffered saline (PBS) buffer, followed by plating onto a Luria-Bertani (LB) agar medium. The plates were incubated at 37 &#176;C for 10 h, and then, the single colonies on LB plates were counted and normalized to indicate the bacterial cells colonized on roots. This method is used to detect bacterial colonization in the rhizosphere in mono-interaction conditions, with good reproducibility.

Yazar Spotlight: Geliştirilmiş Mikrobiyal Gübre Verimliliği için Bitki Köklerinde Rizobakteri Kolonizasyonunun Geliştirilmesi

Colonization of plant growth-promoting rhizobacteria (PGPR) in the rhizosphere is essential for its growth-promoting effect. It is necessary to standardize the method of detection of bacterial rhizosphere colonization. Here, we describe a reproducible method for quantifying bacterial colonization on the root surface.

Hidroponik Durumdaki Arabidopsis thaliana Köklerinde Bakteri Kolonizasyonunun Ölçülmesi

Measuring bacterial colonization on Arabidopsis thaliana root is one of the most frequent experiments in plant-microbe interaction studies. A standardized ...

Monitoring Bacterial Colonization and Maintenance on Arabidopsis thaliana Roots in a Floating Hydroponic System

Bacteria form complex rhizosphere microbiomes shaped by interacting microbes, larger organisms, and the abiotic environment. Under laboratory conditions, rhizosphere colonization by plant growth-promoting bacteria (PGPB) can increase the health or the development of host plants relative to uncolonized plants. However, in field settings, bacterial treatments with PGPB often do not provide substantial benefits to crops. One explanation is that this may be due to loss of the PGPB during interactions with endogenous soil microbes over the lifespan of the plant. This possibility has been difficult to confirm, since most studies focus on the initial colonization rather than maintenance of PGPB within rhizosphere communities. It is hypothesized here that the assembly, coexistence, and maintenance of bacterial communities are shaped by deterministic features of the rhizosphere microenvironment, and that these interactions may impact PGPB survival in native settings. To study these behaviors, a hydroponic plant-growth assay is optimized using Arabidopsis thaliana to quantify and visualize the spatial distribution of bacteria during initial colonization of plant roots and after transfer to different growth environments. This system&#8217;s reproducibility and utility are then validated with the well-studied PGPB Pseudomonas simiae. To investigate how the presence of multiple bacterial species may affect colonization and maintenance dynamics on the plant root, a model community from three bacterial strains (an Arthrobacter, Curtobacterium, and Microbacterium species) originally isolated from the A. thaliana rhizosphere is constructed. It is shown that the presence of these diverse bacterial species can be measured using this hydroponic plant-maintanence assay, which provides an alternative to sequencing-based bacterial community studies. Future studies using this system may improve the understanding of bacterial behavior in multispecies plant microbiomes over time and in changing environmental conditions.

Monitoring Bacterial Colonization and Maintenance on Arabidopsis thaliana Roots in a Floating Hydroponic System

Here we describe a hydroponic plant growth assay to quantify species presence and visualize the spatial distribution of bacteria during initial colonization of plant roots and after their transfer into different growth environments.

Yüzen hidroponik sistemde Arabidopsis thaliana kökleri üzerinde bakteriyel kolonizasyon ve bakım izleme

Bacteria form complex rhizosphere microbiomes shaped by interacting microbes, larger organisms, and the abiotic environment. Under laboratory conditions, ...

İmmünoloji ve Enfeksiyon

Plant-Microbe Interaction: Transcriptional Response of Bacillus Mycoides to Potato Root Exudates

Beneficial plant-associated bacteria play an important role in promoting growth and preventing disease in plants. The application of plant growth-promoting rhizobacteria (PGPR) as biofertilizers or biocontrol agents has become an effective alternative to the use of conventional fertilizers and can increase crop productivity at low cost. Plant-microbe interactions depend upon host plant-secreted signals and a reaction hereon by their associated bacteria. However, the molecular mechanisms of how beneficial bacteria respond to their associated plant-derived signals are not fully understood. Assessing the transcriptomic response of bacteria to root exudates is a powerful approach to determine the bacterial gene expression and regulation under rhizospheric conditions. Such knowledge is necessary to understand the underlying mechanisms involved in plant-microbe interactions. This paper describes a detailed protocol to study the transcriptomic response of B. mycoides EC18, a strain isolated from the potato endosphere, to potato root exudates. With the help of recent high-throughput sequencing technology, this protocol can be performed in several weeks and produce massive datasets. First, we collect the root exudates under sterile conditions, after which they are added to B. mycoides cultures. The RNA from these cultures is isolated using a phenol/chloroform method combined with a commercial kit and subjected to quality control by an automated electrophoresis instrument. After sequencing, data analysis is performed with the web-based T-REx pipeline and a group of differentially expressed genes is identified. This method is a useful tool to facilitate new discoveries on the bacterial genes involved in plant-microbe interactions.

Plant-Microbe Interaction: Transcriptional Response of Bacillus Mycoides to Potato Root Exudates

The goal of the protocol presented here is to study the transcriptomic response of endosphere-isolated Bacillus mycoides to potato root exudates. This method facilitates the identification of important bacterial genes involved in plant-microbe interactions and is in principle applicable to other endophytes and plants, with minor adjustments.

Bitki-mikrop etkileşim: Transkripsiyon yanıt Bacillus Mycoides patates kök Exudates için

Beneficial plant-associated bacteria play an important role in promoting growth and preventing disease in plants. The application of plant ...

Biyoloji

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

The root microbiome plays an important role in plant growth and environmental adaptation. Network analysis is an important tool for studying communities, which can effectively explore the interaction relationship or co-occurrence model of different microbial species in different environments. The purpose of this manuscript is to provide details on how to use the weighted correlation network algorithm to analyze different co-occurrence networks that may occur in microbial communities due to different ecological environments. All analysis of the experiment is performed in the WGCNA package. WGCNA is an R package for weighted correlation network analysis. The experimental data used to demonstrate these methods were microbial community data from the NCBI (National Center for Biotechnology Information) database for three niches of the rice (Oryza sativa) root system. We used the weighted correlation network algorithm to construct co-abundance networks of microbial community in each of the three niches. Then, differential co-abundance networks among endosphere, rhizoplane and rhizosphere soil were identified. In addition, the core genera in network were obtained by the "WGCNA" package, which plays an important regulated role in network functions. These methods enable researchers to analyze the response of microbial network to environmental disturbance and verify different microbial ecological response theories. The results of these methods show that the significant differential microbial networks identified in the endosphere, rhizoplane and rhizosphere soil of rice.

Network analysis was applied to evaluate the association of various ecological microbial communities, such as soil, water and rhizosphere. Presented here is a protocol on how to use the WGCNA algorithm to analyze different co-occurrence networks that may occur in the microbial communities due to different ecological environments.

Ağırlıklı Korelasyon Ağlarına Dayalı Farklı Habitatlarda Kök Mikrobiyotasının Ayrışması

The root microbiome plays an important role in plant growth and environmental adaptation. Network analysis is an important tool for studying communities, ...

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Özet

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