Variation of bacterial communities along the vertical gradient in Lake Issyk Kul, Kyrgyzstan

We explored the diversity and community composition of bacteria along a vertical gradient in Lake Issyk Kul, Kyrgyzstan, one of the world's largest and deepest brackish lakes. We identified 4904 bacterial amplicon sequence variants based on the 16S rRNA gene analysis and determined significant...

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Detalhes bibliográficos
Autor: Rojas Jiménez, Keilor Osvaldo
Tipo de documento: artigo
Data de publicação:2021
País:Costa Rica
Recursos:Universidad de Costa Rica
Repositório:Kérwá
Idioma:inglês
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/83235
Acesso em linha:https://sfamjournals.onlinelibrary.wiley.com/doi/10.1111/1758-2229.12935
https://hdl.handle.net/10669/83235
Access Level:Acceso aberto
Palavra-chave:Bacteria
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dc.title.es_ES.fl_str_mv Variation of bacterial communities along the vertical gradient in Lake Issyk Kul, Kyrgyzstan
title Variation of bacterial communities along the vertical gradient in Lake Issyk Kul, Kyrgyzstan
spellingShingle Variation of bacterial communities along the vertical gradient in Lake Issyk Kul, Kyrgyzstan
Rojas Jiménez, Keilor Osvaldo
Bacteria
title_short Variation of bacterial communities along the vertical gradient in Lake Issyk Kul, Kyrgyzstan
title_full Variation of bacterial communities along the vertical gradient in Lake Issyk Kul, Kyrgyzstan
title_fullStr Variation of bacterial communities along the vertical gradient in Lake Issyk Kul, Kyrgyzstan
title_full_unstemmed Variation of bacterial communities along the vertical gradient in Lake Issyk Kul, Kyrgyzstan
title_sort Variation of bacterial communities along the vertical gradient in Lake Issyk Kul, Kyrgyzstan
dc.creator.none.fl_str_mv Rojas Jiménez, Keilor Osvaldo
author Rojas Jiménez, Keilor Osvaldo
author_facet Rojas Jiménez, Keilor Osvaldo
author_role author
dc.subject.es_ES.fl_str_mv Bacteria
topic Bacteria
description We explored the diversity and community composition of bacteria along a vertical gradient in Lake Issyk Kul, Kyrgyzstan, one of the world's largest and deepest brackish lakes. We identified 4904 bacterial amplicon sequence variants based on the 16S rRNA gene analysis and determined significant changes in the composition, responding mainly to depth and salinity. A higher abundance of Proteobacteria and Bacteroidetes was observed in the surface waters and lake tributaries. Cyanobacteria were more abundant in the deep chlorophyll maximum from 28.5 to 128 m, while Planctomycetes and Chloroflexi were dominant in the deepest layers, from 128 to 600 m. According to our machine learning analyses, depth and temperature were the most critical environmental factors, with strong effects on Proteobacteria, Planctomycetes and Chloroflexi, while oxygen was associated with the variations in Cyanobacteria. We also observed that with increasing depth, the alpha diversity values increased. The dominance of Planctomycetes and Chloroflexi in the deepest layers can only be seen in a few lakes of the world. However, the lake is facing increasing anthropogenic and climatic pressure. There is an urgent need to understand better the ecological role and function of these unique deep‐water microbial communities.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-04-14T20:14:18Z
dc.date.available.none.fl_str_mv 2021-04-14T20:14:18Z
dc.date.issued.none.fl_str_mv 2021-02-04
dc.type.none.fl_str_mv artículo original
http://purl.org/coar/resource_type/c_2df8fbb1
info:eu-repo/semantics/article
format article
dc.identifier.citation.none.fl_str_mv https://sfamjournals.onlinelibrary.wiley.com/doi/10.1111/1758-2229.12935
dc.identifier.issn.none.fl_str_mv 1758-2229
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10669/83235
dc.identifier.doi.none.fl_str_mv 10.1111/1758-2229.12935
url https://sfamjournals.onlinelibrary.wiley.com/doi/10.1111/1758-2229.12935
https://hdl.handle.net/10669/83235
identifier_str_mv 1758-2229
10.1111/1758-2229.12935
dc.language.iso.es_ES.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv acceso abierto
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
rights_invalid_str_mv acceso abierto
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eu_rights_str_mv openAccess
dc.source.es_ES.fl_str_mv Environmental Microbiology Reports
dc.source.none.fl_str_mv reponame:Kérwá
instname:Universidad de Costa Rica
instacron:UCR
instname_str Universidad de Costa Rica
instacron_str UCR
institution UCR
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collection Kérwá
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According to our machine learning analyses, depth and temperature were the most critical environmental factors, with strong effects on Proteobacteria, Planctomycetes and Chloroflexi, while oxygen was associated with the variations in Cyanobacteria. We also observed that with increasing depth, the alpha diversity values increased. The dominance of Planctomycetes and Chloroflexi in the deepest layers can only be seen in a few lakes of the world. However, the lake is facing increasing anthropogenic and climatic pressure. 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