Resource–diversity relationships in bacterial communities reflect the network structure of microbial metabolism
The relationship between the number of available nutrients and community diversity is a central question in ecological research that remains unanswered. Here we studied the assembly of hundreds of soil-derived microbial communities on a wide range of well-defined resource environments, from single c...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Springer Science and Business Media LLC
2022
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| Online Access: | https://hdl.handle.net/1721.1/141887 |
| _version_ | 1826211457227816960 |
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| author | Dal Bello, Martina Lee, Hyunseok Goyal, Akshit Gore, Jeff |
| author2 | Massachusetts Institute of Technology. Department of Physics |
| author_facet | Massachusetts Institute of Technology. Department of Physics Dal Bello, Martina Lee, Hyunseok Goyal, Akshit Gore, Jeff |
| author_sort | Dal Bello, Martina |
| collection | MIT |
| description | The relationship between the number of available nutrients and community diversity is a central question in ecological research that remains unanswered. Here we studied the assembly of hundreds of soil-derived microbial communities on a wide range of well-defined resource environments, from single carbon sources to combinations of up to 16. We found that, while single resources supported multispecies communities varying from 8 to 40 taxa, mean community richness increased only one-by-one with additional resources. Cross-feeding could reconcile these seemingly contrasting observations, with the metabolic network seeded by the supplied resources explaining the changes in richness due to both the identity and the number of resources, as well as the distribution of taxa across different communities. By using a consumer-resource model incorporating the inferred cross-feeding network, we provide further theoretical support to our observations and a framework to link the type and number of environmental resources to microbial community diversity. |
| first_indexed | 2024-09-23T15:06:11Z |
| format | Article |
| id | mit-1721.1/141887 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:06:11Z |
| publishDate | 2022 |
| publisher | Springer Science and Business Media LLC |
| record_format | dspace |
| spelling | mit-1721.1/1418872023-04-19T20:45:30Z Resource–diversity relationships in bacterial communities reflect the network structure of microbial metabolism Dal Bello, Martina Lee, Hyunseok Goyal, Akshit Gore, Jeff Massachusetts Institute of Technology. Department of Physics The relationship between the number of available nutrients and community diversity is a central question in ecological research that remains unanswered. Here we studied the assembly of hundreds of soil-derived microbial communities on a wide range of well-defined resource environments, from single carbon sources to combinations of up to 16. We found that, while single resources supported multispecies communities varying from 8 to 40 taxa, mean community richness increased only one-by-one with additional resources. Cross-feeding could reconcile these seemingly contrasting observations, with the metabolic network seeded by the supplied resources explaining the changes in richness due to both the identity and the number of resources, as well as the distribution of taxa across different communities. By using a consumer-resource model incorporating the inferred cross-feeding network, we provide further theoretical support to our observations and a framework to link the type and number of environmental resources to microbial community diversity. 2022-04-13T17:21:51Z 2022-04-13T17:21:51Z 2021 2022-04-13T17:15:22Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/141887 Dal Bello, Martina, Lee, Hyunseok, Goyal, Akshit and Gore, Jeff. 2021. "Resource–diversity relationships in bacterial communities reflect the network structure of microbial metabolism." Nature Ecology & Evolution, 5 (10). en 10.1038/S41559-021-01535-8 Nature Ecology & Evolution Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Springer Science and Business Media LLC bioRxiv |
| spellingShingle | Dal Bello, Martina Lee, Hyunseok Goyal, Akshit Gore, Jeff Resource–diversity relationships in bacterial communities reflect the network structure of microbial metabolism |
| title | Resource–diversity relationships in bacterial communities reflect the network structure of microbial metabolism |
| title_full | Resource–diversity relationships in bacterial communities reflect the network structure of microbial metabolism |
| title_fullStr | Resource–diversity relationships in bacterial communities reflect the network structure of microbial metabolism |
| title_full_unstemmed | Resource–diversity relationships in bacterial communities reflect the network structure of microbial metabolism |
| title_short | Resource–diversity relationships in bacterial communities reflect the network structure of microbial metabolism |
| title_sort | resource diversity relationships in bacterial communities reflect the network structure of microbial metabolism |
| url | https://hdl.handle.net/1721.1/141887 |
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