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Community-intrinsic properties enhance keratin degradation from bacterial consortia

ABSTRACT: We studied the microbial community-based degradation of keratin, a recalcitrant biological material, by four well-characterized synergistic soil isolates, which have previously been shown to display synergistic interactions during biofilm formation; Stenotrophomonas rhizophila, Xanthomonas retroflexus, Microbacterium oxydans and Paenibacillus amylolyticus. We observed enhanced keratin weight loss in cultures with X. retroflexus, both in dual and four-species co-cultures, as compared to expected keratin degradation by X. retroflexus alone. To unravel the degradation shotgun-proteomics was performed on the secretome of all culture types including X. retroflexus.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Xanthomonas Retroflexus

TISSUE(S): Stationary Phase Culture

SUBMITTER: Jakob Herschend

LAB HEAD: Søren J. Sørensen

PROVIDER: PXD016745 | Pride | 2020-02-18

REPOSITORIES: Pride

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Community-intrinsic properties enhance keratin degradation from bacterial consortia.

Nasipuri Poonam P Herschend Jakob J Brejnrod Asker D AD Madsen Jonas S JS Espersen Roall R Svensson Birte B Burmølle Mette M Jacquiod Samuel S Sørensen Søren J SJ

PloS one 20200131 1

Although organic matter may accumulate sometimes (e.g. lignocellulose in peat bog), most natural biodegradation processes are completed until full mineralization. Such transformations are often achieved by the concerted action of communities of interacting microbes, involving different species each performing specific tasks. These interactions can give rise to novel "community-intrinsic" properties, through e.g. activation of so-called "silent genetic pathways" or synergistic interplay between m ...[more]

PMID: 32004342

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Project description:DNA double-strand breaks (DSBs) initiate meiotic recombination. Past DSB-mapping studies have used rad50S or sae2? mutants, which are defective in break processing, to accumulate DSBs, and report large (= 50 kb) “DSB-hot” regions that are separated by “DSB-cold” domains of similar size. Substantial recombination occurs in some DSB-cold regions, suggesting that DSB patterns are not normal in rad50S or sae2? mutants. We therefore developed novel methods that detect DSBs using ssDNA enrichment and microarray hybridization, and that use background-based normalization to allow cross-comparison between array datasets, to map genome-wide the DSBs that accumulate in processing-capable, repair-defective dmc1î and dmc1î rad51î mutants. DSBs were observed at known hotspots, but also in most previously-identified “DSB-cold” regions, including near centromeres and telomeres. While about 40% of the genome is DSB-cold in rad50S mutants, analysis of meiotic ssDNA from dmc1? shows that most of these regions have significant DSB activity. Thus, DSBs are distributed much more uniformly than was previously believed. Southern-blot assays of DSBs in selected regions in dmc1?, rad50S and wild-type cells confirm these findings. Comparisons of DSB signals in dmc1, dmc1 rad51, and dmc1 spo11 mutant strains identify Dmc1 as the primary strand transfer activity genome-wide, and Spo11-induced lesions as initiating all meiotic recombination. Keywords: DSB mapping, ChIP-chip, single strand DNA , BND cellulose We use two different strategies to map the genome-wide distribution of meiotic DSBs in the yeast Saccharomyces cerevisiae. The first is a chromatin immunoprecipitation (ChIP) based approach that targets the Spo11p protein, which remains covalently attached to DSB ends in the rad50S mutant background. The second approach involves BND cellulose enrichment of the single strand DNA (ssDNA) recombination intermediate formed by end-resection at DSB sites following Spo11p removal. We use dmc1 and dmc1 rad51 mutants that accumulates meiotic single strand DNA intermediates

Dataset Information

Community-intrinsic properties enhance keratin degradation from bacterial consortia

Publications

Community-intrinsic properties enhance keratin degradation from bacterial consortia.

Similar Datasets

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