Name: purification of high molecular weight genomic dna from powdery mildew for long-read sequencing
Uploaded: 2017-03-31T13:00:00
Description: Watch this Scientific Journal Video about Purification of High Molecular Weight Genomic DNA from Powdery Mildew for Long-Read Sequencing at JoVE.com

This protocol was developed in support of a Joint Genome Institute-Community Sequencing Project (#1657). The work was supported in part by the Philomathia Foundation, the National Science Foundation (#0929226) and the Energy Biosciences Institute to S. Somerville; and by Swiss National Science Foundation (#310030_163260) to B. Keller. We would like to thank our colleagues, M. Figureroa and M. Miller (University of Minnesota), R. Panstruga (RWTH Aachen University), C. Pedersen (University of Copenhagen), P. Spanu (Imperial College), J. Taneja (University of California Berkeley), M. Wildermuth (University of California Berkeley), R. Wise (Iowa State University) and S. Xiao (University of Maryland) for their generous advice and for volunteering their protocols as we developed the protocol described here.

1. Preparation of Fungal Material
<ol>
	<li>Growing Powdery Mildew
	<ol>
		<li>Grow plants in growth chambers with the following conditions: 22 &#176;C day temperature, 20 &#176;C night temperature, 80% relative humidity, 14-h day-length and a light intensity of 125 &#181;E/m2/s (provided by fluorescent lighting).</li>
		<li>Infect cucumber plants (Cucumis sativa variety Bush Champion) with Golovinomyces cichoracearum strain UCSC1 as described18,<sup class...

<ol>
	<li>Agrios, G. N. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Plant Pathology. , (1969).</li><li>Braun, U., Cook, R. T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Taxonomic manual of the Erysiphales (Powdery Mildews). , (2012).</li><li>Both, M., Csukai, M., Stumpf, M. P. H., Spanu, P. D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Gene+expression+profiles+of+Blumeria+graminis+indicate+dynamic+changes+to+primary+metabolism+during+development+of+an+obligate+biotrophic+pathogen.">Gene expression profiles of Blumeria graminis indicate dynamic changes to primary metabolism during development of an obligate biotrophic pathogen.</a> Plant Cell. 17 (7), 2107-2122 (2005).</li><li>Glawe, D. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+powdery+mildews:+A+review+of+the+world's+most+familiar+(yet+poorly+known)+plant+pathogens.">The powdery mildews: A review of the world's most familiar (yet poorly known) plant pathogens.</a> Annu Rev Phytopathol. 46, 27-51 (2008).</li><li>Fabro, G., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Genome-wide+expression+profiling+Arabidopsis+at+the+stage+of+Golovinomyces+cichoracearum+haustorium+formation.">Genome-wide expression profiling Arabidopsis at the stage of Golovinomyces cichoracearum haustorium formation.</a> Plant Physiol. 146 (3), 1421-1439 (2008).</li><li>H&#252;ckelhoven, R., Panstruga, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Cell+biology+of+the+plant-powdery+mildew+interaction.">Cell biology of the plant-powdery mildew interaction.</a> Curr Opin Plant Biol. 14 (6), 738-746 (2011).</li><li>Micali, C. O., Neumann, U., Grunewald, D., Panstruga, R., O'Connell, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Biogenesis+of+a+specialized+plant-fungal+interface+during+host+cell+internalization+of+Golovinomyces+orontii+haustoria.">Biogenesis of a specialized plant-fungal interface during host cell internalization of Golovinomyces orontii haustoria.</a> Cell Microbiol. 13 (2), 210-226 (2011).</li><li>Chandran, D., Inada, N., Hather, G., Kleindt, C. K., Wildermuth, M. C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Laser+microdissection+of+Arabidopsis+cells+at+the+powdery+mildew+infection+site+reveals+site-specific+processes+and+regulators.">Laser microdissection of Arabidopsis cells at the powdery mildew infection site reveals site-specific processes and regulators.</a> Proc Natl Acad Sci. 107 (1), 460-465 (2010).</li><li>Spanu, P. D., Panstruga, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Powdery+mildew+genomes+in+the+crosshairs.">Powdery mildew genomes in the crosshairs.</a> New Phytol. 195 (1), 20-22 (2012).</li><li>Vela-Corc&#237;a, D., Romero, D., Tor&#233;s, J. A., De Vicente, A., P&#233;rez-Garc&#237;a, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Transient+transformation+of+Podosphaera+xanthii+by+electroporation+of+conidia.">Transient transformation of Podosphaera xanthii by electroporation of conidia.</a> BMC Microbiol. 15 (20), (2015).</li><li>Hacquard, S., Francis, M. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Advances in Botanical Research. 70, 109-142 (2014).</li><li>Spanu, P. D., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Genome+expansion+and+gene+loss+in+powdery+mildew+fungi+reveal+tradeoffs+in+extreme+parasitism.">Genome expansion and gene loss in powdery mildew fungi reveal tradeoffs in extreme parasitism.</a> Science. 330 (6010), 1543-1546 (2010).</li><li>Wicker, T., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+wheat+powdery+mildew+genome+shows+the+unique+evolution+of+an+obligate+biotroph.">The wheat powdery mildew genome shows the unique evolution of an obligate biotroph.</a> Nat Genet. 45 (9), 1092 (2013).</li><li>Jones, L., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Adaptive+genomic+structural+variation+in+the+grape+powdery+mildew+pathogen,+Erysiphe+necator.">Adaptive genomic structural variation in the grape powdery mildew pathogen, Erysiphe necator.</a> BMC Genomics. 15, 1081 (2014).</li><li>Thomma, B. P. H. J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Mind+the+gap;+seven+reasons+to+close+fragmented+genome+assemblies.">Mind the gap; seven reasons to close fragmented genome assemblies.</a> Fungal Genet Biol. 90, 24-30 (2016).</li><li>Parlange, F., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+major+invasion+of+transposable+elements+accounts+for+the+large+size+of+the+Blumeria+graminis+f.sp.+tritici+genome.">A major invasion of transposable elements accounts for the large size of the Blumeria graminis f.sp. tritici genome.</a> Funct Integr Genomics. 11, 671-677 (2011).</li><li>Faino, L., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Single-molecule+real-time+sequencing+combined+with+optical+mapping+yields+completely+finished+fungal+genome.">Single-molecule real-time sequencing combined with optical mapping yields completely finished fungal genome.</a> mBio. 6, (2015).</li><li>Adam, L., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Comparison+of+Erysiphe+cichoracearum+and+E.+cruciferarum+and+a+survey+of+360+Arabidopsis+thaliana+accessions+for+resistance+to+these+two+powdery+mildew+pathogens.">Comparison of Erysiphe cichoracearum and E. cruciferarum and a survey of 360 Arabidopsis thaliana accessions for resistance to these two powdery mildew pathogens.</a> Mol Plant Microbe In. 12 (12), 1031-1043 (1999).</li><li>Bourras, S., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Multiple+avirulence+loci+and+allele-specific+effector+recognition+control+the+PM3+race-specific+resistance+of+wheat+to+powdery+mildew.">Multiple avirulence loci and allele-specific effector recognition control the PM3 race-specific resistance of wheat to powdery mildew.</a> Plant Cell. 27 (10), 2991-3012 (2015).</li><li>Henry, R. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Plant genotyping II: SNP technology. , (2008).</li><li>Healey, A., Furtado, A., Cooper, T., Henry, R. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Protocol:+a+simple+method+for+extracting+next-generation+sequencing+quality+genomic+DNA+from+recalcitrant+plant+species.">Protocol: a simple method for extracting next-generation sequencing quality genomic DNA from recalcitrant plant species.</a> Plant Methods. 10 (21), (2014).</li><li>Fang, G., Hammar, S., Grumet, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+quick+and+inexpensive+method+for+removing+polysaccharides+from+plant+genomic+DNA.">A quick and inexpensive method for removing polysaccharides from plant genomic DNA.</a> Biotechniques. 13 (1), 52-54 (1992).</li><li>Jordon-Thaden, I. E., Chanderbali, A. S., Gitzendanner, M. A., Soltis, D. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Modified+CTAB+and+TRIzol+protocols+improve+RNA+extraction+from+chemically+complex+Embryophyta.">Modified CTAB and TRIzol protocols improve RNA extraction from chemically complex Embryophyta.</a> Appl Plant Sci. 3 (5), 1400105 (2015).</li><li>Murray, M. G., Thompson, W. F. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Rapid+isolation+of+high+molecular+weight+plant+DNA.">Rapid isolation of high molecular weight plant DNA.</a> Nucleic Acids Res. 8 (19), 4321-4325 (1980).</li><li>Greco, M., S&#225;ez, C. A., Brown, M. T., Bitonti, M. B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+simple+and+effective+method+for+high+quality+co-extraction+of+genomic+DNA+and+total+RNA+from+low+biomass+Ectocarpus+siliculosus,+the+model+brown+alga.">A simple and effective method for high quality co-extraction of genomic DNA and total RNA from low biomass Ectocarpus siliculosus, the model brown alga.</a> PLoS One. 9 (5), e96470 (2014).</li><li>Wilson, I. W., Schiff, C. L., Hughes, D. E., Somerville, S. C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Quantitative+trait+loci+analysis+of+powdery+mildew+disease+resistance+in+the+Arabidopsis+thaliana+accession+Kashmir-1.">Quantitative trait loci analysis of powdery mildew disease resistance in the Arabidopsis thaliana accession Kashmir-1.</a> Genetics. 158 (3), 1301-1309 (2001).</li></ol>

In order to obtain pure, high molecular weight genomic DNA from the obligate biotrophic powdery mildew fungi, a modified version of previously described methods was developed30. The average yield using this optimized protocol is 7 &#181;g DNA per 150 mg conidia, a doubling of the yield obtained with a prior protocol. Also, the average size increased from approximately 20 kbp to over 48.5 kbp. This protocol was optimized in the cucumber-G. cichoracearum system. In order to obtain the best ...

Powdery mildews are a group of obligate biotrophic fungal plant pathogens that, when taken together, are the largest cause of plant disease worldwide1. There are over 900 described species of powdery mildew, which have been taxonomically grouped into five tribes within the family Erisyphaceae2. Due both to their economic importance and the intimate relationship they develop with their hosts, powdery mildew diseases have been the subject of research for &#62; 100 years. Upon infection, powdery mildews elicit drastic changes in the cellular structure, metabolism and molecular biology of their hosts, to benefit this pathogen. However, the study of powdery mildews is particularly challenging due to their obligate lifestyle, and growth of the fungus in pure culture has not yet been described3,4,5,6,7,8. Reliable, stable genetic transformation of powdery mildews has also not yet been accomplished, although transient transformation has been reported in some species9,10.
The sequencing and assembly of powdery mildew genomes has proven difficult due to a number of features of the genome itself. Powdery mildew genomes are large (120 - 180 Mbp) relative to other fungal genomes, and consist of 60 - 90% evenly distributed repetitive elements11. These elements include non-long terminal repeats, as well as uncategorized repetitive elements. Two formae speciales of a single powdery mildew species, Blumeria graminis f. sp. hordei and f. sp. tritici (Bgh and Bgt, respectively) as well as the grape powdery mildew Erysiphe necator, have been sequenced, and draft genomes for several others have been completed12,13,14. The repetitive nature of the genomes has made assembly difficult, and the completed Bgh genome was assembled into 6,989 supercontigs with an L50 of 2 Mb12.
Despite the large genome, the powdery mildews appear to have a small number of protein coding genes, with 5,845 and 6,540 genes predicted in Bgh and Bgt, respectively. The sequenced powdery mildews also appear to lack at least 99 core genes that are essential in other fungi, which is consistent with the dependence of the fungi on their host plant for survival11,12,13,14.
Repetitive sequences near telomers, centromeres, ribosomal RNA gene arrays and regions enriched in transposable elements are poorly assembled from short-read sequencing strategies and are often under-represented in genome assemblies15. Such regions are thought to be responsible for many of the gaps that occur in genome sequences, and this applies to the powdery mildews with their extensive expansion of repetitive elements16. Highly plastic genome regions are often found in such repetitive regions3. They serve as a site of chromosome rearrangements and often encode genes under strong selective pressure, such as the genes encoding effector proteins and the genes encoding enzymes of secondary metabolism. Advances in single-molecule long-read sequencing technologies provide a potential solution for sequencing across repetitive regions of genomes15. For example, Faino et al. (2015) found that including long-sequence read technologies and optical mapping allowed them to produce a gap-less genome sequence for two strains of the fungal plant pathogen Verticillium dahlia, tripling the proportion of repetitive DNA sequences in the genome, increasing the number of gene annotations (and reducing the number of partial or missing gene annotations) and revealing genome rearrangements17.
To employ these long-read sequencing technologies, high concentrations of high quality genomic DNA, with minimal sizes &#62; 20 kbp, are needed. Here we describe our methods for conidial collection, purification of high molecular weight DNA from conidia and our quality control assessments using the powdery mildew species Golovinomyces cichoracearum grown on cucumber18. This protocol is based on a protocol developed in the B. Keller laboratory group (University of Z&#252;rich, Z&#252;rich Switzerland)13,19 and includes several modifications that led to increased DNA yields and a higher proportion of DNA &#62;48.5 kbp in size. The protocol also includes quality control steps based on recommendations from the United States Department of Energy Joint Genome Institute20,21,22.
The function of each reagent included in the lysis buffer, and the rationale for each purification step, are as described in Henry (2008)23. Available published protocols for isolation of high molecular weight genomic DNA from plant and microbial tissues were also consulted during the design of this protocol24,25,26,27,28.

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>MM400 Ball Mill</td>
			<td>Retsch</td>
			<td>20.745.0001</td>
			<td>Or equivalent ball mill</td>
		</tr>
		<tr>
			<td>2mL tubes for ball milling</td>
			<td>Sarstedt&#160;</td>
			<td>72.694.007</td>
			<td></td>
		</tr>
		<tr>
			<td>5/32&#34; stainless steel milling balls</td>
			<td>OPS Diagnostics</td>
			<td>GBSS 165-5000-01</td>
			<td></td>
		</tr>
		<tr>
			<td>Microprocessor controlled 280 Series Water Bath Preset to 65&#176;C&#160;</td>
			<td>Thermo Fisher Scientific</td>
			<td>2825</td>
			<td>Or equivalent water bath</td>
		</tr>
		<tr>
			<td>Microprocessor controlled 280 Series Water Bath Preset to 37&#176;C</td>
			<td>Thermo Fisher Scientific</td>
			<td>2825</td>
			<td>Or equivalent water bath</td>
		</tr>
		<tr>
			<td>Eppendorf 5417R refrigerated microcentrifuge</td>
			<td>Krakeler Scientific&#160;</td>
			<td>38-022621807</td>
			<td>Or equivalent microcentrifuge</td>
		</tr>
		<tr>
			<td>Chlorform:IAA (24:1 v/v)</td>
			<td>Sigma-Aldrich&#160;</td>
			<td>C0549</td>
			<td>Hazardous in case of skin contact or inhalation. Wear nitrile gloves, protective eyewear, lab coat and work in chemical hood</td>
		</tr>
		<tr>
			<td>Phenol:Chloroform:IAA (25:24:1 v/v)</td>
			<td>Thermo Fisher Scientific</td>
			<td>15593031</td>
			<td>Hazardous in case of skin contact or inhalation. Wear nitrile gloves, protective eyewear, lab coat and work in chemical hood</td>
		</tr>
		<tr>
			<td>100% Isopropanol</td>
			<td>Sigma-Aldrich&#160;</td>
			<td>W292907</td>
			<td></td>
		</tr>
		<tr>
			<td>100% Ethanol</td>
			<td>Sigma-Aldrich&#160;</td>
			<td>34923</td>
			<td>Chill to -20&#176;C prior use</td>
		</tr>
		<tr>
			<td>Sodium Acetate</td>
			<td>Sigma-Aldrich&#160;</td>
			<td>S2889</td>
			<td></td>
		</tr>
		<tr>
			<td>Rnase, Dnase-free (10mg/ml)</td>
			<td>Thermo Fisher Scientific</td>
			<td>EN0531</td>
			<td></td>
		</tr>
		<tr>
			<td>Potassium metabisulfite</td>
			<td>Sigma-Aldrich&#160;</td>
			<td>P2522</td>
			<td></td>
		</tr>
		<tr>
			<td>Sodium Lauryl Sacroinate</td>
			<td>Sigma-Aldrich&#160;</td>
			<td>L9150</td>
			<td></td>
		</tr>
		<tr>
			<td>Tris base</td>
			<td>Sigma-Aldrich&#160;</td>
			<td>10708976001</td>
			<td></td>
		</tr>
		<tr>
			<td>Ethylenediaminetetraacetic acid (EDTA)</td>
			<td>Sigma-Aldrich&#160;</td>
			<td>EDS</td>
			<td></td>
		</tr>
		<tr>
			<td>Sodium chloride (NaCl)</td>
			<td>Sigma-Aldrich&#160;</td>
			<td>S9888</td>
			<td></td>
		</tr>
		<tr>
			<td>Cetyltrimethyl ammonium bromide (CTAB)</td>
			<td>Sigma-Aldrich&#160;</td>
			<td>H6269</td>
			<td></td>
		</tr>
		<tr>
			<td>Uvex by Honeywell Futura Goggles S345C, Uvextreme</td>
			<td>Staples</td>
			<td>423263</td>
			<td>Or equivalent eyewear</td>
		</tr>
		<tr>
			<td>High Five COBALT nitrile gloves, LARGE</td>
			<td>Neta Scientific</td>
			<td>HFG-N193</td>
			<td>Or equivalent gloves</td>
		</tr>
		<tr>
			<td>GelRed Nucleic Acid Gel Stain 10,000X in water</td>
			<td>Biotium</td>
			<td>41003</td>
			<td></td>
		</tr>
		<tr>
			<td>Ethidium Bromide 10mg/ml</td>
			<td>Biotium</td>
			<td>40042</td>
			<td>Hazardous in case of skin contact. Wear nitrile gloves and protective eyewear</td>
		</tr>
		<tr>
			<td>&#160;Agarose Ultrapure Bioreagent</td>
			<td>VWR International LLC</td>
			<td>JT4063</td>
			<td></td>
		</tr>
		<tr>
			<td>GeneRuler 1kb Plus DNA Ladder</td>
			<td>Thermo Fisher Scientific</td>
			<td>FERSM1332</td>
			<td></td>
		</tr>
		<tr>
			<td>8-48kb CHEF DNA size standards</td>
			<td>Bio-Rad</td>
			<td>170-3707</td>
			<td></td>
		</tr>
		<tr>
			<td>Pippin Prep&#160;&#160;</td>
			<td>Life Technologies Corporation</td>
			<td>4472172</td>
			<td>Or equivalent pulse-field gel aparatus</td>
		</tr>
		<tr>
			<td>Whatman&#160;qualitative filter paper, Grade 1</td>
			<td>Sigma-Aldrich&#160;</td>
			<td>WHA1001042</td>
			<td>Or equivalent growth chamber</td>
		</tr>
		<tr>
			<td>Percival&#160; Growth Chamber</td>
			<td>Percival</td>
			<td>AR66LXC9</td>
			<td></td>
		</tr>
		<tr>
			<td>NanoDrop 8000 UV-Vis Spectrophotometer</td>
			<td>Thermo Fisher Scientific</td>
			<td>ND-8000-GL</td>
			<td>Or equivalent spectrophotometer</td>
		</tr>
		<tr>
			<td>Quant-iT PicoGreen dsDNA Assay Kit</td>
			<td>Thermo Fisher Scientific</td>
			<td>P11496</td>
			<td></td>
		</tr>
		<tr>
			<td>TAE Buffer (Tris-acetate-EDTA) (50X)</td>
			<td>Thermo Fisher Scientific</td>
			<td>B49</td>
			<td>Dilute 1/50 with water before use (to 1X)</td>
		</tr>
		<tr>
			<td>TE Buffer</td>
			<td>Thermo Fisher Scientific</td>
			<td>12090015&#160;</td>
			<td></td>
		</tr>
		<tr>
			<td>Tris-Borate-EDTA, 10X Solution (Electrophoresis)</td>
			<td>Thermo Fisher Scientific</td>
			<td>BP13334</td>
			<td>Dilute 1/10 with water before use (to 1X)</td>
		</tr>
		<tr>
			<td>Liquid Nitrogen</td>
			<td></td>
			<td></td>
			<td>Liquid nitrogen (-196 &#176;C) is a freezing hazard. It will also expand rapidly upon warming and should not keep in a tightly closed container</td>
		</tr>
	</tbody>
</table>

purification of high molecular weight genomic dna from powdery mildew for long-read sequencing

The powdery mildew fungi are a group of economically important fungal plant pathogens. Relatively little is known about the molecular biology and genetics of these pathogens, in part due to a lack of well-developed genetic and genomic resources. These organisms have large, repetitive genomes, which have made genome sequencing and assembly prohibitively difficult. Here, we describe methods for the collection, extraction, purification and quality control assessment of high molecular weight genomic DNA from one powdery mildew species, Golovinomyces cichoracearum. The protocol described includes mechanical disruption of spores followed by an optimized phenol/chloroform genomic DNA extraction. A typical yield was 7 &#181;g DNA per 150 mg conidia. The genomic DNA that is isolated using this procedure is suitable for long-read sequencing (i.e., &#62; 48.5 kbp). Quality control measures to ensure the size, yield, and purity of the genomic DNA are also described in this method. Sequencing of the genomic DNA of the quality described here will allow for the assembly and comparison of multiple powdery mildew genomes, which in turn will lead to a better understanding and improved control of this agricultural pathogen.

A representative example of 60ng purified genomic DNA from G. cichoracearum run on an agarose gel using gel electrophoresis and using pulsed-field gel electrophoresis are shown in Figures 1 and 2, respectively. Genomic DNA preparations that pass, marginally pass and fail quality control are represented. Genomic DNA preparations that fully pass quality control are ideal for sequencing using long-read genome sequencing approaches. ...

Watch this Scientific Journal Video about Purification of High Molecular Weight Genomic DNA from Powdery Mildew for Long-Read Sequencing at JoVE.com

Purification of High Molecular Weight Genomic DNA from Powdery Mildew for Long-Read Sequencing

Described here is a method for the extraction, purification, and quality control of genomic DNA from the obligate biotrophic fungal pathogen, powdery mildew, for use in long-read genome sequencing.

The powdery mildew fungi are a group of economically important fungal plant pathogens. Relatively little is known about the molecular biology and genetics ...

The overall goal of this protocol is to isolate high molecular weight genomic DNA from powdery mildew haploid conidia for long-read genome sequencing. This method can answer key questions in the plant pathogenic fungal biology field, such as the structure and composition of hard to study genomes. The main advantage of this technique is that it allows for the extraction of high-quality genomic DNA from a pathogen that is difficult to work with.To begin the experiment, quickly remove steel balls from conidia cryovials with a magnet. Add 700 microliters of 65 degree Celsius lysis buffer and vortex the solution for five to 10 seconds. After five to 10 seconds, a slurry is formed.Add 300 microliters of 65 degree pre-warmed 5%volume by volume sarkosyl and gently invert it five times. Incubate the tubes for 30 minutes at 65 degrees Celsius. Using a wide bore pipette tip, transfer the entire solution to a new two milliliter microcentrifuge tube.Add one volume of chloroform isoamyl alcohol to the lysis solution, and gently invert the tube to mix five times. Incubate the mixture for 10 minutes at room temperature. Gently invert the tube to mix five times at the halfway point, and again at the end of the incubation.Next, centrifuge and room temperature for 15 minutes. Using a wide bore pipette tip, carefully transfer the aqueous layer to a new two milliliter microcentrifuge tube, and avoid including material from the interface. Add 750 microliter volume of room temperature 100%isopropanol and gently invert the tube six times.Then centrifuge the mixture at room temperature for 15 minutes. Carefully remove the supernatant and discard it. Add 450 microliters pre-chilled 70%ethanol.Centrifuge the mixture for five minutes at room temperature. Carefully remove the supernatant and discard it. Centrifuge at 1000 times g for three seconds.Carefully remove the supernatant with a fine pipette tip and discard the supernatant. Air dry the pellet for 15 minutes at room temperature. Resuspend the pellet in 300 microliters of TE.Incubate the DNA overnight at four degrees Celsius.The next morning, gently flick to resuspend any DNA that has not gone into solution. To remove RNA contamination, add 10 microliters RNase. Gently invert the tube three times and centrifuge the DNA at 1000 times g for three seconds.Then incubate the DNA at 37 degrees Celsius for two hours. Add 300 microliters phenol chloroform isoamyl alcohol and gently invert to mix five times and incubate the DNA for 10 minutes at room temperature. Gently invert the tube to mix the DNA five times at the halfway mark and again at the end of the incubation.Next centrifuge the tube for 15 minutes at room temperature. Using a wide bore pipette tip transfer the supernatant to a new 1.5 milliliter microcentrifuge tube. Add three microliters of 3 molar sodium acetate pH 5.2 then gently invert the tube five times.Add 750 microliters of pre-chilled 100%ethanol and gently invert the tube five times. Incubate the mixture overnight at 20 degrees Celsius. The following morning, centrifuge the tube for 30 minutes at four degrees Celsius.Carefully remove and discard the supernatant. Add 450 microliters of pre-chilled 70%ethanol. Then centrifuge the tube for five minutes at four degrees Celsius.After pelleting the DNA, carefully remove the supernatant. Spin the tube again at 1000 times g for three seconds to bring down residual supernatant. Remove residual supernatant with fine tipped pipette.Air dry the pellet for 30 to 60 minutes at room temperature. After air drying, resuspend the pellet in 27.5 microliters of TE.The next day, gently flip to resuspend any residual material that did not go into solution. Aliquot 2.5 microliters into 22.5 microliters TE for quality control tests.Store the DNA samples at four degrees Celsius until submission for sequencing. For long term storage, store samples at 80 degrees Celsius and minimize freeze thaw cycles to prevent shearing. Using the protocol, purified genomic DNA was used to run gel electrophoresis which obtained DNA that passed quality control with a strong single band above 20kbp and minimal smearing, DNA that gave a marginal result with a single band running above 20kbp, and a failed result that displays smearing below 20kbp and includes fragments at 100bp.Pulsed-field gel electrophoresis, or PFGE, was performed to distinguish between an acceptable DNA sample with a majority of DNA greater than 48.5kbp and a marginal DNA sample with the majority of DNA between 20 and 48.5kbp. Following this procedure, other methods like single molecule long-read sequencing can be performed to answer additional questions about the powdery mildew genome.

purification-high-molecular-weight-genomic-dna-from-powdery-mildew

Research

JoVE Journal

Genetics

Methyl-binding DNA capture Sequencing for Patient Tissues

Methylation is one of the essential epigenetic modifications to the DNA, which is responsible for the precise regulation of genes required for stable development and differentiation of different tissue types. Dysregulation of this process is often the hallmark of various diseases like cancer. Here, we outline one of the recent sequencing techniques, Methyl-Binding DNA Capture sequencing (MBDCap-seq), used to quantify methylation in various normal and disease tissues for large patient cohorts. We describe a detailed protocol of this affinity enrichment approach along with a bioinformatics pipeline to achieve optimal quantification. This technique has been used to sequence hundreds of patients across various cancer types as a part of the 1,000 methylome project (Cancer Methylome System).

Here we present a protocol to investigate genome wide DNA methylation in large scale clinical patient screening studies using the Methyl-Binding DNA Capture sequencing (MBDCap-seq or MBD-seq) technology and the subsequent bioinformatics analysis pipeline.

Methylation is one of the essential epigenetic modifications to the DNA, which is responsible for the precise regulation of genes required for stable ...

Generation of Native Chromatin Immunoprecipitation Sequencing Libraries for Nucleosome Density Analysis

We present a modified native chromatin immunoprecipitation sequencing (ChIP-seq) experimental protocol compatible with a Gaussian mixture distribution based analysis methodology (nucleosome density ChIP-seq; ndChIP-seq) that enables the generation of combined measurements of micrococcal nuclease (MNase) accessibility with histone modification genome-wide. Nucleosome position and local density, and the posttranslational modification of their histone subunits, act in concert to regulate local transcription states. Combinatorial measurements of nucleosome accessibility with histone modification generated by ndChIP-seq allows for the simultaneous interrogation of these features. The ndChIP-seq methodology is applicable to small numbers of primary cells inaccessible to cross-linking based ChIP-seq protocols. Taken together, ndChIP-seq enables the measurement of histone modification in combination with local nucleosome density to obtain new insights into shared mechanisms that regulate RNA transcription within rare primary cell populations.

We present a modified native chromatin immunoprecipitation sequencing (ChIP-seq) methodology for the generation of sequence datasets suitable for a nucleosome density ChIP-seq analytical framework integrating micrococcal nuclease (MNase) accessibility with histone modification measurements.

We present a modified native chromatin immunoprecipitation sequencing (ChIP-seq) experimental protocol compatible with a Gaussian mixture distribution ...

Robust DNA Isolation and High-throughput Sequencing Library Construction for Herbarium Specimens

Herbaria are an invaluable source of plant material that can be used in a variety of biological studies. The use of herbarium specimens is associated with a number of challenges including sample preservation quality, degraded DNA, and destructive sampling of rare specimens. In order to more effectively use herbarium material in large sequencing projects, a dependable and scalable method of DNA isolation and library preparation is needed. This paper demonstrates a robust, beginning-to-end protocol for DNA isolation and high-throughput library construction from herbarium specimens that does not require modification for individual samples. This protocol is tailored for low quality dried plant material and takes advantage of existing methods by optimizing tissue grinding, modifying library size selection, and introducing an optional reamplification step for low yield libraries. Reamplification of low yield DNA libraries can rescue samples derived from irreplaceable and potentially valuable herbarium specimens, negating the need for additional destructive sampling and without introducing discernible sequencing bias for common phylogenetic applications. The protocol has been tested on hundreds of grass species, but is expected to be adaptable for use in other plant lineages after verification. This protocol can be limited by extremely degraded DNA, where fragments do not exist in the desired size range, and by secondary metabolites present in some plant material that inhibit clean DNA isolation. Overall, this protocol introduces a fast and comprehensive method that allows for DNA isolation and library preparation of 24 samples in less than 13 h, with only 8 h of active hands-on time with minimal modifications.

This article demonstrates a detailed protocol for DNA isolation and high-throughput sequencing library construction from herbarium material including rescue of exceptionally poor-quality DNA.

Herbaria are an invaluable source of plant material that can be used in a variety of biological studies. The use of herbarium specimens is associated with ...

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Conventional next-generation sequencing techniques (NGS) have allowed for immense genomic characterization for over a decade. Specifically, NGS has been used to analyze the spectrum of clonal mutations in malignancy. Though far more efficient than traditional Sanger methods, NGS struggles with identifying rare clonal and subclonal mutations due to its high error rate of ~0.5&#8211;2.0%. Thus, standard NGS has a limit of detection for mutations that are &#62;0.02 variant allele fraction (VAF). While the clinical significance for mutations this rare in patients without known disease remains unclear, patients treated for leukemia have significantly improved outcomes when residual disease is &#60;0.0001 by flow cytometry. In order to mitigate this artefactual background of NGS, numerous methods have been developed. Here we describe a method for Error-corrected DNA and RNA Sequencing (ECS), which involves tagging individual molecules with both a 16 bp random index for error-correction and an 8 bp patient-specific index for multiplexing. Our method can detect and track clonal mutations at variant allele fractions (VAFs) two orders of magnitude lower than the detection limit of NGS and as rare as 0.0001 VAF.

Next-generation sequencing (NGS) is a powerful tool for genomic characterization that is limited by the high error rate of the platform (~0.5&#8211;2.0%). We describe our methods of error-corrected sequencing that allow us to obviate the NGS error rate and detect mutations at variant allele fractions as rare as 0.0001.

Conventional next-generation sequencing techniques (NGS) have allowed for immense genomic characterization for over a decade. Specifically, NGS has been ...

Isolating, Sequencing and Analyzing Extracellular MicroRNAs from Human Mesenchymal Stem Cells

Extracellular and circulating RNAs (exRNA) are produced by many cell types of the body and exist in numerous bodily fluids such as saliva, plasma, serum, milk and urine. One subset of these RNAs are the posttranscriptional regulators &#8211; microRNAs (miRNAs). To delineate the miRNAs produced by specific cell types, in vitro culture systems can be used to harvest and profile exRNAs derived from one subset of cells. The secreted factors of mesenchymal stem cells are implicated in alleviating numerous diseases and is used as the in vitro model system here. This paper describes the process of collection, purification of small RNA and library generation to sequence extracellular miRNAs. ExRNAs from culture media differ from cellular RNA by being low RNA input samples, which calls for optimized procedures. This protocol provides a comprehensive guide to small exRNA sequencing from culture media, showing quality control checkpoints at each step during exRNA purification and sequencing.

This protocol demonstrates how to purify extracellular microRNAs from cell culture media for small RNA library construction and next generation sequencing. Various quality control checkpoints are described to allow readers to understand what to expect when working with low input samples like exRNAs.

Extracellular and circulating RNAs (exRNA) are produced by many cell types of the body and exist in numerous bodily fluids such as saliva, plasma, serum, ...

Sequencing of mRNA from Whole Blood using Nanopore Sequencing

Sequencing in remote locations and resource-poor settings presents unique challenges. Nanopore sequencing can be successfully used under such conditions, and was deployed to West Africa during the recent Ebola virus epidemic, highlighting this possibility. In addition to its practical advantages (low cost, ease of equipment transport and use), this technology also provides fundamental advantages over second-generation sequencing approaches, particularly the very long read length, ability to directly sequence RNA, and real-time availability of data. Raw read accuracy is lower than with other sequencing platforms, which represents the main limitation of this technology; however, this can be partially mitigated by the high read depth generated. Here, we present a field-compatible protocol for sequencing of the mRNAs encoding for Niemann-Pick C1, which is the cellular receptor for ebolaviruses. This protocol encompasses extraction of RNA from animal blood samples, followed by RT-PCR for target enrichment, barcoding, library preparation, and the sequencing run itself, and can be easily adapted for use with other DNA or RNA targets.

Nanopore sequencing is a novel technology that allows cost-effective sequencing in remote locations and resource-poor settings. Here, we present a protocol for sequencing of mRNAs from whole blood that is compatible with such conditions.

Sequencing in remote locations and resource-poor settings presents unique challenges. Nanopore sequencing can be successfully used under such conditions, ...

Identification of Circular RNAs using RNA Sequencing

Circular RNAs (circRNAs) are a class of non-coding RNAs involved in functions including micro-RNA (miRNA) regulation, mediation of protein-protein interactions, and regulation of parental gene transcription. In classical next generation RNA sequencing (RNA-seq), circRNAs are typically overlooked as a result of poly-A selection during construction of mRNA libraries, or are found at very low abundance, and are therefore difficult to isolate and detect. Here, a circRNA library construction protocol was optimized by comparing library preparation kits, pre-treatment options and various total RNA input amounts. Two commercially available whole transcriptome library preparation kits, with and without RNase R pre-treatment, and using variable amounts of total RNA input (1 to 4 &#181;g), were tested. Lastly, multiple tissue types; including liver, lung, lymph node, and pancreas; as well as multiple brain regions; including the cerebellum, inferior parietal lobe, middle temporal gyrus, occipital cortex, and superior frontal gyrus; were compared to evaluate circRNA abundance across tissue types. Analysis of the generated RNA-seq data using six different circRNA detection tools (find_circ, CIRI, Mapsplice, KNIFE, DCC, and CIRCexplorer) revealed that a stranded total RNA library preparation kit with RNase R pre-treatment and 4 &#181;g RNA input is the optimal method for identifying the highest relative number of circRNAs. Consistent with previous findings, the highest enrichment of circRNAs was observed in brain tissues compared to other tissue types.

Circular RNAs (circRNAs) are non-coding RNAs that may have roles in transcriptional regulation and mediating interactions between proteins. Following assessment of different parameters for construction of circRNA sequencing libraries, a protocol was compiled utilizing stranded total RNA library preparation with RNase R pre-treatment and is presented here.

Circular RNAs (circRNAs) are a class of non-coding RNAs involved in functions including micro-RNA (miRNA) regulation, mediation of protein-protein ...

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Gene expression analysis by RNA sequencing (RNA-seq) enables unique insights into clinical samples that can potentially lead to mechanistic understanding of the basis of various diseases as well as resistance and/or susceptibility mechanisms. However, FFPE tissues, which represent the most common method for preserving tissue morphology in clinical specimens, are not the best sources for gene expression profiling analysis. The RNA obtained from such samples is often degraded, fragmented, and chemically modified, which leads to suboptimal sequencing libraries. In turn, these generate poor quality sequence data that may not be reliable for gene expression analysis and mutation discovery. In order to make the most of FFPE samples and obtain the best possible data from low quality samples, it is important to take certain precautions while planning experimental design, preparing sequencing libraries, and during data analysis. This includes the use of appropriate metrics for precise sample quality control (QC), identifying the best methods for various steps during the sequencing library generation, and careful library QC. In addition, applying correct software tools and parameters for sequence data analysis is critical in order to identify artifacts in RNA-seq data, filter out contamination and low quality reads, assess uniformity of gene coverage, and measure the reproducibility of gene expression profiles among biological replicates. These steps can ensure high accuracy and reproducibility for profiling of very heterogeneous RNA samples. Here we describe the various steps for sample QC, library preparation and QC, sequencing, and data analysis that can help to increase the amount of useful data obtained from low quality RNA, such as that obtained from FFPE-RNA tissues.

This method describes the steps to improve the quality and quantity of sequence data that can be obtained from formalin-fixed paraffin-embedded (FFPE) RNA samples. We describe the methodology to more accurately assess the quality of FFPE-RNA samples, prepare sequencing libraries, and analyze the data from FFPE-RNA samples.

Gene expression analysis by RNA sequencing (RNA-seq) enables unique insights into clinical samples that can potentially lead to mechanistic understanding ...

Isolation of Adipose Tissue Nuclei for Single-Cell Genomic Applications

Brown and beige fat are specialized adipose tissues that dissipate energy for thermogenesis by UCP1 (Uncoupling Protein-1)-dependent and independent pathways. Until recently, thermogenic adipocytes were considered a homogeneous population. However, recent studies have indicated that there are multiple subtypes or subpopulations that are distinct in developmental origin, substrate use, and transcriptome. Despite advances in single-cell genomics, unbiased decomposition of adipose tissues into cellular subtypes has been challenging because of the fragile nature of lipid-filled adipocytes. The protocol presented was developed to circumvent these obstacles by effective isolation of single nuclei from adipose tissue for downstream applications, including RNA sequencing. Cellular heterogeneity can then be analyzed by RNA sequencing and bioinformatic analyses.

This publication describes a protocol for the isolation of nuclei from mature adipocytes, purification by fluorescence-activated sorting, and single-cell level transcriptomics.

Brown and beige fat are specialized adipose tissues that dissipate energy for thermogenesis by UCP1 (Uncoupling Protein-1)-dependent and independent ...

Genetic Variant Detection in the CALR gene using High Resolution Melting Analysis

High resolution melting analysis (HRM) is a powerful method for genotyping and genetic variation scanning. Most HRM applications depend on saturating DNA dyes that detect sequence differences, and heteroduplexes that change the shape of the melting curve. Excellent instrument resolution and special data analysis software are needed to identify the small melting curve differences that identify a variant or genotype. Different types of genetic variants with diverse frequencies can be observed in the gene specific for patients with a specific disease, especially cancer and in the CALR gene in patients with Philadelphia chromosome&#8211;negative myeloproliferative neoplasms. Single nucleotide changes, insertions and/or deletions (indels) in the gene of interest can be detected by the HRM analysis. The identification of different types of genetic variants is mostly based on the controls used in the qPCR HRM assay. However, as the product length increases, the difference between wild-type and heterozygote curves becomes smaller, and the type of genetic variant is more difficult to determine. Therefore, where indels are the prevalent genetic variant expected in the gene of interest, an additional method such as agarose gel electrophoresis can be used for the clarification of the HRM result. In some instances, an inconclusive result must be re-checked/re-diagnosed by standard Sanger sequencing. In this retrospective study, we applied the method to JAK2 V617F-negative patients with MPN.

Genetic Variant Detection in the CALR gene using High Resolution Melting Analysis

High resolution melting analysis (HRM) is a sensitive and rapid solution for genetic variant detection. It depends on sequence differences that result in heteroduplexes changing the shape of the melting curve. By combing HRM and agarose gel electrophoresis, different types of genetic variants such as indels can be identified.

High resolution melting analysis (HRM) is a powerful method for genotyping and genetic variation scanning. Most HRM applications depend on saturating DNA ...