Depth-dependent responses of soil bacterial communities to salinity in an arid region
Soil salinization adversely affects soil fertility and plant growth in arid region worldwide. However, as the drivers of nutrient cycling, the response of microbial communities to soil salinization is poorly understood. This study characterized bacterial communities in different soil layers along a...
| Autores: | , , , , , , , , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Recursos: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:312833 |
| Acesso em linha: | https://ddd.uab.cat/record/312833 https://dx.doi.org/urn:doi:10.1016/j.scitotenv.2024.175129 |
| Access Level: | acceso embargado |
| Palavra-chave: | Desert ecosystem Microbial phenotype Soil salinity Microbial co-occurrence network |
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Depth-dependent responses of soil bacterial communities to salinity in an arid regionDong, XinpingZhang, Zhihao|||0000-0002-3260-7195Lu, Yan|||0000-0003-3055-0073Li, LiDu, YiTariq, Akash|||0000-0002-5382-9336Gao, YanjuMu, Zhaobin|||0000-0002-7902-3760Zhu, YuheWang, WeiqiSardans i Galobart, Jordi|||0000-0003-2478-0219Peñuelas, Josep|||0000-0002-7215-0150Zeng, Fanjiang|||0000-0003-4209-6971Desert ecosystemMicrobial phenotypeSoil salinityMicrobial co-occurrence networkSoil salinization adversely affects soil fertility and plant growth in arid region worldwide. However, as the drivers of nutrient cycling, the response of microbial communities to soil salinization is poorly understood. This study characterized bacterial communities in different soil layers along a natural salinity gradient in the Karayulgun River Basin, located northwest of the Taklimakan desert in China, using the 16S rRNA Miseq-sequencing technique. The results revealed a significant filtering effect of salinity on the bacterial community in the topsoil. Only the α-diversity (Shannon index) in the topsoil (0-10 cm) significantly decreased with increasing salinity levels, and community dissimilarity in the topsoil was enhanced with increasing salinity, while there was no significant relationship in the subsoil. BugBase predictions revealed that aerobic, facultatively anaerobic, gram-positive, and stress-tolerant bacterial phenotypes in the topsoil was negatively related to salinity. The average degree and number of modules of the bacterial co-occurrence network in the topsoil were lower under higher salinity levels, which contrasted with the trends in the subsoil, suggesting an unstable bacterial network in the topsoil caused by higher salinity. The average path length among bacterial species increased in both soil layers under high salinity conditions. Plant diversity and available nitrogen were the main drivers affecting community composition in the topsoil, while available potassium largely shaped community composition in the subsoil. This study provides solid evidence that bacterial communities adapt to salinity through the adjustment of microbial composition based on soil depth. This information will contribute to the sustainable management of drylands and improved predictions and responses to changes in ecosystems caused by climate change. 220242024-01-0120262026-11-30Articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articlehttps://ddd.uab.cat/record/312833https://dx.doi.org/urn:doi:10.1016/j.scitotenv.2024.175129reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengembargoed accesshttp://purl.org/coar/access_right/c_f1cfAquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/embargoedAccessoai:ddd.uab.cat:3128332026-06-06T12:50:31Z |
| dc.title.none.fl_str_mv |
Depth-dependent responses of soil bacterial communities to salinity in an arid region |
| title |
Depth-dependent responses of soil bacterial communities to salinity in an arid region |
| spellingShingle |
Depth-dependent responses of soil bacterial communities to salinity in an arid region Dong, Xinping Desert ecosystem Microbial phenotype Soil salinity Microbial co-occurrence network |
| title_short |
Depth-dependent responses of soil bacterial communities to salinity in an arid region |
| title_full |
Depth-dependent responses of soil bacterial communities to salinity in an arid region |
| title_fullStr |
Depth-dependent responses of soil bacterial communities to salinity in an arid region |
| title_full_unstemmed |
Depth-dependent responses of soil bacterial communities to salinity in an arid region |
| title_sort |
Depth-dependent responses of soil bacterial communities to salinity in an arid region |
| dc.creator.none.fl_str_mv |
Dong, Xinping Zhang, Zhihao|||0000-0002-3260-7195 Lu, Yan|||0000-0003-3055-0073 Li, Li Du, Yi Tariq, Akash|||0000-0002-5382-9336 Gao, Yanju Mu, Zhaobin|||0000-0002-7902-3760 Zhu, Yuhe Wang, Weiqi Sardans i Galobart, Jordi|||0000-0003-2478-0219 Peñuelas, Josep|||0000-0002-7215-0150 Zeng, Fanjiang|||0000-0003-4209-6971 |
| author |
Dong, Xinping |
| author_facet |
Dong, Xinping Zhang, Zhihao|||0000-0002-3260-7195 Lu, Yan|||0000-0003-3055-0073 Li, Li Du, Yi Tariq, Akash|||0000-0002-5382-9336 Gao, Yanju Mu, Zhaobin|||0000-0002-7902-3760 Zhu, Yuhe Wang, Weiqi Sardans i Galobart, Jordi|||0000-0003-2478-0219 Peñuelas, Josep|||0000-0002-7215-0150 Zeng, Fanjiang|||0000-0003-4209-6971 |
| author_role |
author |
| author2 |
Zhang, Zhihao|||0000-0002-3260-7195 Lu, Yan|||0000-0003-3055-0073 Li, Li Du, Yi Tariq, Akash|||0000-0002-5382-9336 Gao, Yanju Mu, Zhaobin|||0000-0002-7902-3760 Zhu, Yuhe Wang, Weiqi Sardans i Galobart, Jordi|||0000-0003-2478-0219 Peñuelas, Josep|||0000-0002-7215-0150 Zeng, Fanjiang|||0000-0003-4209-6971 |
| author2_role |
author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Desert ecosystem Microbial phenotype Soil salinity Microbial co-occurrence network |
| topic |
Desert ecosystem Microbial phenotype Soil salinity Microbial co-occurrence network |
| description |
Soil salinization adversely affects soil fertility and plant growth in arid region worldwide. However, as the drivers of nutrient cycling, the response of microbial communities to soil salinization is poorly understood. This study characterized bacterial communities in different soil layers along a natural salinity gradient in the Karayulgun River Basin, located northwest of the Taklimakan desert in China, using the 16S rRNA Miseq-sequencing technique. The results revealed a significant filtering effect of salinity on the bacterial community in the topsoil. Only the α-diversity (Shannon index) in the topsoil (0-10 cm) significantly decreased with increasing salinity levels, and community dissimilarity in the topsoil was enhanced with increasing salinity, while there was no significant relationship in the subsoil. BugBase predictions revealed that aerobic, facultatively anaerobic, gram-positive, and stress-tolerant bacterial phenotypes in the topsoil was negatively related to salinity. The average degree and number of modules of the bacterial co-occurrence network in the topsoil were lower under higher salinity levels, which contrasted with the trends in the subsoil, suggesting an unstable bacterial network in the topsoil caused by higher salinity. The average path length among bacterial species increased in both soil layers under high salinity conditions. Plant diversity and available nitrogen were the main drivers affecting community composition in the topsoil, while available potassium largely shaped community composition in the subsoil. This study provides solid evidence that bacterial communities adapt to salinity through the adjustment of microbial composition based on soil depth. This information will contribute to the sustainable management of drylands and improved predictions and responses to changes in ecosystems caused by climate change. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2 2024 2024-01-01 2026 2026-11-30 |
| dc.type.none.fl_str_mv |
Article http://purl.org/coar/resource_type/c_6501 AM http://purl.org/coar/version/c_ab4af688f83e57aa |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://ddd.uab.cat/record/312833 https://dx.doi.org/urn:doi:10.1016/j.scitotenv.2024.175129 |
| url |
https://ddd.uab.cat/record/312833 https://dx.doi.org/urn:doi:10.1016/j.scitotenv.2024.175129 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
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embargoed access http://purl.org/coar/access_right/c_f1cf https://creativecommons.org/licenses/by-nc-nd/3.0/ |
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info:eu-repo/semantics/embargoedAccess |
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embargoed access http://purl.org/coar/access_right/c_f1cf https://creativecommons.org/licenses/by-nc-nd/3.0/ |
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reponame:Dipòsit Digital de Documents de la UAB instname:Universitat Autònoma de Barcelona |
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Universitat Autònoma de Barcelona |
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Dipòsit Digital de Documents de la UAB |
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