Academic Journal
Mobile gene clusters and coexpressed plant–rhizobium pathways drive partner quality variation in symbiosis
| Τίτλος: | Mobile gene clusters and coexpressed plant–rhizobium pathways drive partner quality variation in symbiosis |
|---|---|
| Συγγραφείς: | Muhammad Rizwan Riaz, Ivan Sosa Marquez, Hanna Lindgren, Garrett Levin, Rebecca Doyle, Mario Cerón Romero, Julia C. Paoli, Jenny Drnevich, Christopher J. Fields, Barney A. Geddes, Amy Marshall-Colón, Katy D. Heath |
| Πηγή: | Proceedings of the National Academy of Sciences. 122 |
| Στοιχεία εκδότη: | Proceedings of the National Academy of Sciences, 2025. |
| Έτος έκδοσης: | 2025 |
| Περιγραφή: | Plant–microbe symbioses such as the legume–rhizobium mutualism are vital in the web of ecological relationships within both natural and managed ecosystems, influencing primary productivity, crop yield, and ecosystem services. The outcome of these interactions for plant hosts varies quantitatively and can range from highly beneficial to even detrimental depending on natural genetic variation in microbial symbionts. Here, we take a systems genetics approach, harnessing the genetic diversity present in wild rhizobial populations to predict genes and molecular pathways crucial in determining partner quality, i.e., the benefits of symbiosis for legume hosts. We combine traits, dual-RNAseq of both partners from active nodules, pangenomics/pantranscriptomics, and Weighted Gene Co-expression Network Analysis (WGCNA) for a panel of 20 Sinorhizobium meliloti strains that vary in symbiotic partner quality. We find that genetic variation in the nodule transcriptome predicts host plant biomass, and WGCNA reveals networks of genes in plants and rhizobia that are coexpressed and associated with high-quality symbiosis. Presence–absence variation of gene clusters on the symbiosis plasmid (pSymA), validated in planta, is associated with high or low-quality symbiosis and is found within important coexpression modules. Functionally our results point to management of oxidative stress, amino acid and carbohydrate transport, and NCR peptide signaling mechanisms in driving symbiotic outcomes. Our integrative approach highlights the complex genetic architecture of microbial partner quality and raises hypotheses about the genetic mechanisms and evolutionary dynamics of symbiosis. |
| Τύπος εγγράφου: | Article |
| Γλώσσα: | English |
| ISSN: | 1091-6490 0027-8424 |
| DOI: | 10.1073/pnas.2411831122 |
| Rights: | CC BY |
| Αριθμός Καταχώρησης: | edsair.doi...........385deb2e77cd5c955a4a82c646f8b70a |
| Βάση Δεδομένων: | OpenAIRE |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsair DbLabel: OpenAIRE An: edsair.doi...........385deb2e77cd5c955a4a82c646f8b70a RelevancyScore: 1002 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1002.20758056641 |
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| Items | – Name: Title Label: Title Group: Ti Data: Mobile gene clusters and coexpressed plant–rhizobium pathways drive partner quality variation in symbiosis – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Muhammad+Rizwan+Riaz%22">Muhammad Rizwan Riaz</searchLink><br /><searchLink fieldCode="AR" term="%22Ivan+Sosa+Marquez%22">Ivan Sosa Marquez</searchLink><br /><searchLink fieldCode="AR" term="%22Hanna+Lindgren%22">Hanna Lindgren</searchLink><br /><searchLink fieldCode="AR" term="%22Garrett+Levin%22">Garrett Levin</searchLink><br /><searchLink fieldCode="AR" term="%22Rebecca+Doyle%22">Rebecca Doyle</searchLink><br /><searchLink fieldCode="AR" term="%22Mario+Cerón+Romero%22">Mario Cerón Romero</searchLink><br /><searchLink fieldCode="AR" term="%22Julia+C%2E+Paoli%22">Julia C. Paoli</searchLink><br /><searchLink fieldCode="AR" term="%22Jenny+Drnevich%22">Jenny Drnevich</searchLink><br /><searchLink fieldCode="AR" term="%22Christopher+J%2E+Fields%22">Christopher J. Fields</searchLink><br /><searchLink fieldCode="AR" term="%22Barney+A%2E+Geddes%22">Barney A. Geddes</searchLink><br /><searchLink fieldCode="AR" term="%22Amy+Marshall-Colón%22">Amy Marshall-Colón</searchLink><br /><searchLink fieldCode="AR" term="%22Katy+D%2E+Heath%22">Katy D. Heath</searchLink> – Name: TitleSource Label: Source Group: Src Data: <i>Proceedings of the National Academy of Sciences</i>. 122 – Name: Publisher Label: Publisher Information Group: PubInfo Data: Proceedings of the National Academy of Sciences, 2025. – Name: DatePubCY Label: Publication Year Group: Date Data: 2025 – Name: Abstract Label: Description Group: Ab Data: Plant–microbe symbioses such as the legume–rhizobium mutualism are vital in the web of ecological relationships within both natural and managed ecosystems, influencing primary productivity, crop yield, and ecosystem services. The outcome of these interactions for plant hosts varies quantitatively and can range from highly beneficial to even detrimental depending on natural genetic variation in microbial symbionts. Here, we take a systems genetics approach, harnessing the genetic diversity present in wild rhizobial populations to predict genes and molecular pathways crucial in determining partner quality, i.e., the benefits of symbiosis for legume hosts. We combine traits, dual-RNAseq of both partners from active nodules, pangenomics/pantranscriptomics, and Weighted Gene Co-expression Network Analysis (WGCNA) for a panel of 20 Sinorhizobium meliloti strains that vary in symbiotic partner quality. We find that genetic variation in the nodule transcriptome predicts host plant biomass, and WGCNA reveals networks of genes in plants and rhizobia that are coexpressed and associated with high-quality symbiosis. Presence–absence variation of gene clusters on the symbiosis plasmid (pSymA), validated in planta, is associated with high or low-quality symbiosis and is found within important coexpression modules. Functionally our results point to management of oxidative stress, amino acid and carbohydrate transport, and NCR peptide signaling mechanisms in driving symbiotic outcomes. Our integrative approach highlights the complex genetic architecture of microbial partner quality and raises hypotheses about the genetic mechanisms and evolutionary dynamics of symbiosis. – Name: TypeDocument Label: Document Type Group: TypDoc Data: Article – Name: Language Label: Language Group: Lang Data: English – Name: ISSN Label: ISSN Group: ISSN Data: 1091-6490<br />0027-8424 – Name: DOI Label: DOI Group: ID Data: 10.1073/pnas.2411831122 – Name: Copyright Label: Rights Group: Cpyrght Data: CC BY – Name: AN Label: Accession Number Group: ID Data: edsair.doi...........385deb2e77cd5c955a4a82c646f8b70a |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsair&AN=edsair.doi...........385deb2e77cd5c955a4a82c646f8b70a |
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