Whose trait is it anyways? Coevolution of joint phenotypes and genetic architecture in mutualisms
Evolutionary biologists typically envision a trait's genetic basis and fitness effects occurring within a single species. However, traits can be determined by and have fitness consequences for interacting species, thus evolving in multiple genomes. This is especially likely in mutualisms, where species exchange fitness benefits and can associate over long periods of time. Partners may experience evolutionary conflict over the value of a multi-genomic trait, but such conflicts may be ameliorated by mutualism's positive fitness feedbacks. Here, we develop a simulation model of a host-microbe mutualism to explore the evolution of a multi-genomic trait. Coevolutionary outcomes depend on whether hosts and microbes have similar or different optimal trait values, strengths of selection and fitness feedbacks. We show that genome-wide association studies can map joint traits to loci in multiple genomes and describe how fitness conflict and fitness feedback generate different multi-genomic architectures with distinct signals around segregating loci. Partner fitnesses can be positively correlated even when partners are in conflict over the value of a multi-genomic trait, and conflict can generate strong mutualistic dependency. While fitness alignment facilitates rapid adaptation to a new optimum, conflict maintains genetic variation and evolvability, with implications for applied microbiome science.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:288 |
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| Enthalten in: |
Proceedings. Biological sciences - 288(2021), 1942 vom: 13. Jan., Seite 20202483 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
O'Brien, Anna M [VerfasserIn] |
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| Links: |
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| Themen: |
Coevolution |
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| Anmerkungen: |
Date Completed 27.04.2021 Date Revised 14.01.2022 published: Print-Electronic figshare: 10.6084/m9.figshare.c.5251404 Citation Status MEDLINE |
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| doi: |
10.1098/rspb.2020.2483 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 245 | 1 | 0 | |a Whose trait is it anyways? Coevolution of joint phenotypes and genetic architecture in mutualisms |
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| 500 | |a Date Revised 14.01.2022 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a figshare: 10.6084/m9.figshare.c.5251404 | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Evolutionary biologists typically envision a trait's genetic basis and fitness effects occurring within a single species. However, traits can be determined by and have fitness consequences for interacting species, thus evolving in multiple genomes. This is especially likely in mutualisms, where species exchange fitness benefits and can associate over long periods of time. Partners may experience evolutionary conflict over the value of a multi-genomic trait, but such conflicts may be ameliorated by mutualism's positive fitness feedbacks. Here, we develop a simulation model of a host-microbe mutualism to explore the evolution of a multi-genomic trait. Coevolutionary outcomes depend on whether hosts and microbes have similar or different optimal trait values, strengths of selection and fitness feedbacks. We show that genome-wide association studies can map joint traits to loci in multiple genomes and describe how fitness conflict and fitness feedback generate different multi-genomic architectures with distinct signals around segregating loci. Partner fitnesses can be positively correlated even when partners are in conflict over the value of a multi-genomic trait, and conflict can generate strong mutualistic dependency. While fitness alignment facilitates rapid adaptation to a new optimum, conflict maintains genetic variation and evolvability, with implications for applied microbiome science | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Research Support, U.S. Gov't, Non-P.H.S. | |
| 650 | 4 | |a coevolution | |
| 650 | 4 | |a host-microbiome | |
| 650 | 4 | |a mutualism | |
| 650 | 4 | |a quantitative genetics | |
| 700 | 1 | |a Jack, Chandra N |e verfasserin |4 aut | |
| 700 | 1 | |a Friesen, Maren L |e verfasserin |4 aut | |
| 700 | 1 | |a Frederickson, Megan E |e verfasserin |4 aut | |
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