Evidence map›Paper›PMID 41647527›Full record

ArticleFundamental research2026

Contrasting patterns for bacteria and archaea in response to salt stress across alpine wetlands of the Tibetan Plateau.

Xu Liu, Manuel Delgado-Baquerizo, Teng Yang, Gui-Feng Gao, Yu Shi, Haiyan Chu

Abstract read
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Article in Fundamental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xu LiuState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
Manuel Delgado-BaquerizoLaboratorio de Biodiversidad y Funcionamiento Ecosistémico. Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), CSIC, Sevilla E-41012, Spain.
Teng YangState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
Gui-Feng GaoState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
Yu ShiState Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475004, China.
Haiyan ChuState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding microbial responses to environmental stress is crucial for comprehending their distribution and supporting conservation efforts. Yet, comprehensive evaluations of these responses across diverse microbial taxa within the framework of classical ecological theories are scarce. This gap limits our ability to predict the impact of environmental changes on the diversity and functions of soil microbes in natural settings. In this study, we conducted a field survey across twenty alpine wetlands on the Tibetan Plateau. Employing amplicon sequencing with network theories, we investigated the biodiversity and coexistence of bacteria and archaea under a wide range of natural salinity conditions. Our results demonstrated a linear decrease in bacterial diversity with increased salinity, while archaeal diversity showed a non-linear pattern, initially declining and then rising, reflecting varied adaptation strategies to salt stress. Network analysis revealed a heightened complexity in positive associations among bacteria under salt stress. In contrast, archaea exhibited a decrease in both positive and negative associations, with the community succession to halophiles. These results imply that bacteria may counteract stress through enhanced facilitation, whereas archaea predominantly rely on stress-tolerant taxa. Additionally, structural equation modeling confirmed our hypothesis regarding the ecological response strategies of bacteria and archaea to salinity stress, showing that the variation in bacterial diversity is mainly explained by the complexity of positive associations, whereas archaeal diversity directly correlates with salinity levels. Overall, this study offers novel insights into the ecological strategies of prokaryotes under salinity stress and enriches our understanding of the processes maintaining microbial diversity in stressful conditions.

Indexed as

Alpine wetlandsBiodiversityEcological networksProkaryotesSoil nature conservationStress-gradient hypothesis

Identifiers

PMID41647527
PMCPMC12869736

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.