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Snow microbiome functional analyses reveal novel aspects of microbial metabolism of complex organic compounds
Microbes active in extreme cold are not as well explored as those of other extreme environments. Studies have revealed a substantial microbial diversity and identified cold‐specific microbiome molecular functions. We analyzed the metagenomes and metatranscriptomes of 20 snow samples collected in ear...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520998/ https://www.ncbi.nlm.nih.gov/pubmed/32762019 http://dx.doi.org/10.1002/mbo3.1100 |
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author | Zhu, Chengsheng Miller, Maximilian Lusskin, Nicholas Bergk Pinto, Benoît Maccario, Lorrie Häggblom, Max Vogel, Timothy Larose, Catherine Bromberg, Yana |
author_facet | Zhu, Chengsheng Miller, Maximilian Lusskin, Nicholas Bergk Pinto, Benoît Maccario, Lorrie Häggblom, Max Vogel, Timothy Larose, Catherine Bromberg, Yana |
author_sort | Zhu, Chengsheng |
collection | PubMed |
description | Microbes active in extreme cold are not as well explored as those of other extreme environments. Studies have revealed a substantial microbial diversity and identified cold‐specific microbiome molecular functions. We analyzed the metagenomes and metatranscriptomes of 20 snow samples collected in early and late spring in Svalbard, Norway using mi‐faser, our read‐based computational microbiome function annotation tool. Our results reveal a more diverse microbiome functional capacity and activity in the early‐ vs. late‐spring samples. We also find that functional dissimilarity between the same‐sample metagenomes and metatranscriptomes is significantly higher in early than late spring samples. These findings suggest that early spring samples may contain a larger fraction of DNA of dormant (or dead) organisms, while late spring samples reflect a new, metabolically active community. We further show that the abundance of sequencing reads mapping to the fatty acid synthesis‐related microbial pathways in late spring metagenomes and metatranscriptomes is significantly correlated with the organic acid levels measured in these samples. Similarly, the organic acid levels correlate with the pathway read abundances of geraniol degradation and inversely correlate with those of styrene degradation, suggesting a possible nutrient change. Our study thus highlights the activity of microbial degradation pathways of complex organic compounds previously unreported at low temperatures. |
format | Online Article Text |
id | pubmed-7520998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75209982020-09-30 Snow microbiome functional analyses reveal novel aspects of microbial metabolism of complex organic compounds Zhu, Chengsheng Miller, Maximilian Lusskin, Nicholas Bergk Pinto, Benoît Maccario, Lorrie Häggblom, Max Vogel, Timothy Larose, Catherine Bromberg, Yana Microbiologyopen Original Articles Microbes active in extreme cold are not as well explored as those of other extreme environments. Studies have revealed a substantial microbial diversity and identified cold‐specific microbiome molecular functions. We analyzed the metagenomes and metatranscriptomes of 20 snow samples collected in early and late spring in Svalbard, Norway using mi‐faser, our read‐based computational microbiome function annotation tool. Our results reveal a more diverse microbiome functional capacity and activity in the early‐ vs. late‐spring samples. We also find that functional dissimilarity between the same‐sample metagenomes and metatranscriptomes is significantly higher in early than late spring samples. These findings suggest that early spring samples may contain a larger fraction of DNA of dormant (or dead) organisms, while late spring samples reflect a new, metabolically active community. We further show that the abundance of sequencing reads mapping to the fatty acid synthesis‐related microbial pathways in late spring metagenomes and metatranscriptomes is significantly correlated with the organic acid levels measured in these samples. Similarly, the organic acid levels correlate with the pathway read abundances of geraniol degradation and inversely correlate with those of styrene degradation, suggesting a possible nutrient change. Our study thus highlights the activity of microbial degradation pathways of complex organic compounds previously unreported at low temperatures. John Wiley and Sons Inc. 2020-08-06 /pmc/articles/PMC7520998/ /pubmed/32762019 http://dx.doi.org/10.1002/mbo3.1100 Text en © 2020 The Authors. MicrobiologyOpen published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Zhu, Chengsheng Miller, Maximilian Lusskin, Nicholas Bergk Pinto, Benoît Maccario, Lorrie Häggblom, Max Vogel, Timothy Larose, Catherine Bromberg, Yana Snow microbiome functional analyses reveal novel aspects of microbial metabolism of complex organic compounds |
title | Snow microbiome functional analyses reveal novel aspects of microbial metabolism of complex organic compounds |
title_full | Snow microbiome functional analyses reveal novel aspects of microbial metabolism of complex organic compounds |
title_fullStr | Snow microbiome functional analyses reveal novel aspects of microbial metabolism of complex organic compounds |
title_full_unstemmed | Snow microbiome functional analyses reveal novel aspects of microbial metabolism of complex organic compounds |
title_short | Snow microbiome functional analyses reveal novel aspects of microbial metabolism of complex organic compounds |
title_sort | snow microbiome functional analyses reveal novel aspects of microbial metabolism of complex organic compounds |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520998/ https://www.ncbi.nlm.nih.gov/pubmed/32762019 http://dx.doi.org/10.1002/mbo3.1100 |
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