quantitative-analysis-aspergillus-nidulans-growth-rate-using-live

Quantitative Analysis of <em>Aspergillus nidulans</em> Growth Rate using Live Microscopy and Open-Source Software

It is well established that colony growth of filamentous fungi, mostly dependent on changes in hyphae/mycelia apical growth rate, is macroscopically ...

National Centre for Scientific Research, Demokritos (NCSRD)

Amino acid uptake in fungi is mediated by general and specialized members of the yeast amino acid transporter (YAT) family, a branch of the amino acid polyamine organocation (APC) transporter superfamily. PrnB, a highly specific l-proline transporter, only weakly recognizes other Put4p substrates, its Saccharomyces cerevisiae orthologue. Taking advantage of the high sequence similarity between the two transporters, we combined molecular modeling, induced fit docking, genetic, and biochemical approaches to investigate the molecular basis of this difference and identify residues governing substrate binding and specificity. We demonstrate that l-proline is recognized by PrnB via interactions with residues within TMS1 (Gly(56), Thr(57)), TMS3 (Glu(138)), and TMS6 (Phe(248)), which are evolutionary conserved in YATs, whereas specificity is achieved by subtle amino acid substitutions in variable residues. Put4p-mimicking substitutions in TMS3 (S130C), TMS6 (F252L, S253G), TMS8 (W351F), and TMS10 (T414S) broadened the specificity of PrnB, enabling it to recognize more efficiently l-alanine, l-azetidine-2-carboxylic acid, and glycine without significantly affecting the apparent Km for l-proline. S253G and W351F could transport l-alanine, whereas T414S, despite displaying reduced proline uptake, could transport l-alanine and glycine, a phenotype suppressed by the S130C mutation. A combination of all five Put4p-ressembling substitutions resulted in a functional allele that could also transport l-alanine and glycine, displaying a specificity profile impressively similar to that of Put4p. Our results support a model where residues in these positions determine specificity by interacting with the substrates, acting as gating elements, altering the flexibility of the substrate binding core, or affecting conformational changes of the transport cycle. 

The Aspergillus nidulans proline permease as a model for understanding the factors determining substrate binding and specificity of fungal amino acid transporters.

In the recent years, molecular modeling and substrate docking, coupled with biochemical and genetic analyses have identified the substrate-binding residues of several amino acid transporters of the yeast amino acid transporter (YAT) family. These consist of (a) residues conserved across YATs that interact with the invariable part of amino acid substrates and (b) variable residues that interact with the side chain of the amino acid substrate and thus define specificity. Secondary structure sequence alignments showed that the positions of these residues are conserved across YATs and could thus be used to predict the specificity of YATs. Here, we discuss the potential of combining molecular modeling and structural alignments with intra-species phylogenetic comparisons of transporters, in order to predict the function of uncharacterized members of the family. We additionally define some orphan branches which include transporters with potentially novel, and to be characterized specificities. In addition, we discuss the particular case of the highly specific l-proline transporter, PrnB, of , whose gene is part of a cluster of genes required for the utilization of proline as a carbon and/or nitrogen source. This clustering correlates with transcriptional regulation of these genes, potentially leading to the efficient coordination of the uptake of externally provided l-Pro via PrnB and its enzymatic degradation in the cell.

On the Evolution of Specificity in Members of the Yeast Amino Acid Transporter Family as Parts of Specific Metabolic Pathways.

Plants produce toxic secondary metabolites as defense mechanisms against phytopathogenic microorganisms and predators. L-azetidine-2-carboxylic acid (AZC), a toxic proline analogue produced by members of the Liliaceae and Agavaciae families, is part of such a mechanism. AZC causes a broad range of toxic, inflammatory and degenerative abnormalities in human and animal cells, while it is known that some microorganisms have evolved specialized strategies for AZC resistance. However, the mechanisms underlying these processes are poorly understood. Here, we identify a widespread mechanism for AZC resistance in fungi. We show that the filamentous ascomycete Aspergillus nidulans is able to not only resist AZC toxicity but also utilize it as a nitrogen source via GABA catabolism and the action of the AzhA hydrolase, a member of a large superfamily of detoxifying enzymes, the haloacid dehalogenase-like hydrolase (HAD) superfamily. This detoxification process is further assisted by the NgnA acetyltransferase, orthologue of Mpr1 of Saccharomyces cerevisiae. We additionally show that heterologous expression of AzhA protein can complement the AZC sensitivity of S. cerevisiae. Furthermore, a detailed phylogenetic analysis of AzhA homologues in Fungi, Archaea and Bacteria is provided. Overall, our results unravel a widespread mechanism for AZC resistance among microorganisms, including important human and plant pathogens.

Vicky Sophianopoulou

Microbial Molecular Genetics Laboratory,
Institute of Biosciences and Applications,
Microbial Molecular Genetics Laboratory, Institute of Biosciences and Applications

National Centre for Scientific Research, Demokritos (NCSRD)

Quantitative Analysis of Aspergillus nidulans Growth Rate using Live Microscopy and Open-Source Software

Vicky Sophianopoulou

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Microbial Molecular Genetics Laboratory,Institute of Biosciences and Applications,Microbial Molecular Genetics Laboratory, Institute of Biosciences and Applications

National Centre for Scientific Research, Demokritos (NCSRD)

Quantitative Analysis of Aspergillus nidulans Growth Rate using Live Microscopy and Open-Source Software

Microbial Molecular Genetics Laboratory,
Institute of Biosciences and Applications,
Microbial Molecular Genetics Laboratory, Institute of Biosciences and Applications