Integrating pH into the metabolic theory of ecology to predict bacterial diversity in soil

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dc.citation.issue3
dc.citation.volume120
dc.contributor.authorLuan L
dc.contributor.authorJiang Y
dc.contributor.authorDini-Andreote F
dc.contributor.authorCrowther TW
dc.contributor.authorLi P
dc.contributor.authorBahram M
dc.contributor.authorZheng J
dc.contributor.authorXu Q
dc.contributor.authorZhang X-X
dc.contributor.authorSun B
dc.contributor.editorBrown J
dc.coverage.spatialUnited States
dc.date.accessioned2024-02-08T22:23:38Z
dc.date.accessioned2024-07-25T06:37:46Z
dc.date.available2023-01-10
dc.date.available2024-02-08T22:23:38Z
dc.date.available2024-07-25T06:37:46Z
dc.date.issued2023-01-17
dc.description.abstractMicroorganisms play essential roles in soil ecosystem functioning and maintenance, but methods are currently lacking for quantitative assessments of the mechanisms underlying microbial diversity patterns observed across disparate systems and scales. Here we established a quantitative model to incorporate pH into metabolic theory to capture and explain some of the unexplained variation in the relationship between temperature and soil bacterial diversity. We then tested and validated our newly developed models across multiple scales of ecological organization. At the species level, we modeled the diversification rate of the model bacterium Pseudomonas fluorescens evolving under laboratory media gradients varying in temperature and pH. At the community level, we modeled patterns of bacterial communities in paddy soils across a continental scale, which included natural gradients of pH and temperature. Last, we further extended our model at a global scale by integrating a meta-analysis comprising 870 soils collected worldwide from a wide range of ecosystems. Our results were robust in consistently predicting the distributional patterns of bacterial diversity across soil temperature and pH gradients-with model variation explaining from 7 to 66% of the variation in bacterial diversity, depending on the scale and system complexity. Together, our study represents a nexus point for the integration of soil bacterial diversity and quantitative models with the potential to be used at distinct spatiotemporal scales. By mechanistically representing pH into metabolic theory, our study enhances our capacity to explain and predict the patterns of bacterial diversity and functioning under current or future climate change scenarios.
dc.description.confidentialfalse
dc.format.paginatione2207832120-
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/36626561
dc.identifier.citationLuan L, Jiang Y, Dini-Andreote F, Crowther TW, Li P, Bahram M, Zheng J, Xu Q, Zhang X-X, Sun B. (2023). Integrating pH into the metabolic theory of ecology to predict bacterial diversity in soil.. Proc Natl Acad Sci U S A. 120. 3. (pp. e2207832120-).
dc.identifier.doi10.1073/pnas.2207832120
dc.identifier.eissn1091-6490
dc.identifier.elements-typejournal-article
dc.identifier.issn0027-8424
dc.identifier.numbere2207832120
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/70576
dc.languageeng
dc.publisherNational Academy of Sciences
dc.publisher.urihttps://www.pnas.org/doi/10.1073/pnas.2207832120
dc.relation.isPartOfProc Natl Acad Sci U S A
dc.rights(c) The author/sen
dc.rights.licenseCC BY-NC-ND 4.0en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectbacterial diversity
dc.subjectmetabolic theory of ecology
dc.subjectpH
dc.subjecttemperature
dc.subjectEcosystem
dc.subjectSoil
dc.subjectSoil Microbiology
dc.subjectBacteria
dc.subjectHydrogen-Ion Concentration
dc.subjectBiodiversity
dc.titleIntegrating pH into the metabolic theory of ecology to predict bacterial diversity in soil
dc.typeJournal article
pubs.elements-id458878
pubs.organisational-groupOther
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