882 research outputs found

    The pan-genome of Aspergillus fumigatus provides a high-resolution view of its population structure revealing high-levels of lineage-specific diversity driven by recombination

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    Aspergillus fumigatus is a deadly agent of human fungal disease, where virulence heterogeneity is thought to be at least partially structured by genetic variation between strains. While population genomic analyses based on reference genome alignments offer valuable insights into how gene variants are distributed across populations, these approaches fail to capture intraspecific variation in genes absent from the reference genome. Pan-genomic analyses based on de novo assemblies offer a promising alternative to reference-based genomics, with the potential to address the full genetic repertoire of a species. Here, we use a combination of population genomics, phylogenomics, and pan-genomics to assess population structure and recombination frequency, phylogenetically structured gene presence-absence variation, evidence for metabolic specificity, and the distribution of putative antifungal resistance genes in A. fumigatus. We provide evidence for three distinct populations of A. fumigatus, structured by both gene variation (SNPs and indels) and distinct gene presence-absence variation with unique suites of accessory genes present exclusively in each clade. Accessory genes displayed functional enrichment for nitrogen and carbohydrate metabolism, hinting that populations may be stratified by environmental niche specialization. Similarly, the distribution of antifungal resistance genes and resistance alleles were often structured by phylogeny. Despite low levels of outcrossing, A. fumigatus demonstrated a large pan-genome including many genes unrepresented in the Af293 reference genome. These results highlight the inadequacy of relying on a single-reference based approach for evaluating intraspecific variation, and the power of combined genomic approaches to elucidate population structure, genetic diversity, and the putative ecological drivers of clinically relevant fungi. Accompanying manuscript is available as preprint at https://dx.doi.org/10.1101/2021.12.12.472145 Lotus A. Lofgren, Brandon S. Ross, Robert A. Cramer, Jason E. Stajich. Combined Pan-, Population-, and Phylo-Genomic Analysis of Aspergillus fumigatus Reveals Population Structure and Lineage-Specific Diversity bioRxiv 2021.12.12.472145; doi: https://doi.org/10.1101/2021.12.12.472145This is an update from v2 of this dataset, it add additional supplemental files related to population structure, CAZY analysis and reflects updated datasets to match the v3 of the manuscript

    DNA sequence databases

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    The ability to sequence the DNA of an organism has become one of the most important tools in modern biological research. Beginning as a manual process, where DNA was sequenced a few tens or hundreds of nucleotides at a time, DNA sequencing is now performed by high throughput sequencing machines, with billions of bases of DNA being sequenced daily around the world. The recent development of next generation sequencing technology increases the throughput of sequence production many fold and reduces costs by orders of magnitude. This will eventually enable the sequencing of the whole genome of an individual for under 1,000 dollars. However, mechanisms for sharing and analysing this data, and for the efficient storage of the data, will become more critical as the amount of data being collected grows. Most importantly for biologists around the world, the analysis of this data will depend on the quality of the sequence data and annotations which are maintained in the public databases. In this chapter we will give an overview of sequencing technology as it has changed over time, including some of the new technologies that will enable the sequencing of personal genomes. We then discuss the public DNA databases which collect, check, and publish DNA sequences from around the world. Finally we describe how to access this data

    stajichlab/Hortaea_werneckii: Data freeze associated with Gostincar et al 2021.

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    Dataset frozen in accompany with previous analysis and publication from Gostinčar C, Stajich JE, Kejžar A, Sinha S, Nislow C, Lenassi M, Gunde-Cimerman N. Seven Years at High Salinity-Experimental Evolution of the Extremely Halotolerant Black Yeast Hortaea werneckii. J Fungi (Basel). 2021 Sep 4;7(9):723. doi: 10.3390/jof7090723. PMID: 34575761; PMCID: PMC8468603. Not all analyses here were part of final publication but this represents some of the work we did in exploring the datasets

    Deciphering the uniqueness of Mucoromycotina cell walls by combining biochemical and phylogenomic approaches

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    Most fungi from the Mucoromycotina lineage occur in ecosystems as saprobes, although some species are phytopathogens or may induce human mycosis. Mucoromycotina represent early diverging models that are most valuable for understanding fungal evolution. Here we reveal the uniqueness of the cell wall structure of the Mucoromycotina Rhizopus oryzae and Phycomyces blakesleeanus compared with the better characterized cell wall of the ascomycete Neurospora crassa. We have analysed the corresponding polysaccharide biosynthetic and modifying pathways, and highlight their evolutionary features and higher complexity in terms of gene copy numbers compared with species from other lineages. This work uncovers the presence in Mucoromycotina of abundant fucose-based polysaccharides similar to algal fucoidans. These unexpected polymers are associated with unusually low amounts of glucans and a higher proportion of chitin compared with N. crassa. The specific structural features are supported by the identification of genes potentially involved in the corresponding metabolic pathways. Phylogenomic analyses of genes encoding carbohydrate synthases, polysaccharide modifying enzymes and enzymes involved in nucleotide-sugar formation provide evidence for duplication events during evolution of cell wall metabolism in fungi. Altogether, the data highlight the specificity of Mucoromycotina cell walls and pave the way for a finer understanding of their metabolism.Hugo Mélida, Divya Sain, Jason E. Stajich, Vincent Bulon

    hyphaltip/subopt-kaks: Release 1.0.0 of subopt-kaks

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    <p>This code has been stable / in-place since ~2006 and represents work from Jason Stajich's PhD thesis exploring how variation in pairwise suboptimal alignment impact estimations of Ka and Ks for molecular evolution distances.</p> <p>By far the most useful aspect is rapid pairwise implementation of YN00 estimation of Ka and Ks from alignments into simple tabular output to support quick prototyping and scans of molecular divergence. See yn00_cds_prealigned for that main code as well as yn00_cds_optimal for pairwise alignment calculation from unaligned CDS sequence.</p&gt

    Taxonomic vs genomic fungi

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    Supplementary files for  Taxonomic vs genomic fungi: contrasting evolutionary loss of ancestral genomic heritage and punctuated emergence of fungal novelties    Zsolt Merényi Krisztina Krizsán Neha Sahu Xiao-Bin Liu Balázs Bálint Jason Stajich Joseph W. Spatafora László G. Nagy</p

    Uncovered Microbial Diversity in Antarctic Cryptoendolithic Communities Sampling Three Representative Locations of the Victoria Land

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    The endolithic niche represents an ultimate refuge to microorganisms in the Mars-like environment of the Antarctic desert. In an era of rapid global change and desertification, the interest in these border ecosystems is increasing due to speculation on how they maintain balance and functionality at the dry limits of life. To assure a reliable estimation of microbial diversity, proper sampling must be planned in order to avoid the necessity of re-sampling as reaching these remote locations is risky and requires tremendous logistical and economical efforts. In this study, we seek to determine the minimum number of samples for uncovering comprehensive bacterial and fungal diversity, comparing communities in strict vicinity to each other. We selected three different locations of the Victoria Land (Continental Antarctica) at different altitudes and showing sandstone outcrops of a diverse nature and origin-Battleship promontory (834 m above sea level (a.s.l.), Southern VL), Trio Nunatak (1,470 m a.s.l., Northern VL) and Mt New Zealand (3,100 m a.s.l., Northern VL). Overall, we found that a wider sampling would be required to capture the whole amplitude of microbial diversity, particularly in Northern VL. We concluded that the inhomogeneity of the rock matrix and the stronger environmental pressure at higher altitudes may force the communities to a higher local diversification
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