Quantitative trait locus mapping reveals an independent genetic basis for joint divergence in leaf function, life‐history, and floral traits between scarlet monkeyflower (Mimulus cardinalis) populations

Premise Across taxa, vegetative and floral traits that vary along a fast‐slow life‐history axis are often correlated with leaf functional traits arrayed along the leaf economics spectrum, suggesting a constrained set of adaptive trait combinations. Such broad‐scale convergence may arise from genetic...

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Veröffentlicht in:American journal of botany 2021-05, Vol.108 (5), p.844-856
Hauptverfasser: Nelson, Thomas C., Muir, Christopher D., Stathos, Angela M., Vanderpool, Daniel D., Anderson, Kayli, Angert, Amy L., Fishman, Lila
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container_issue 5
container_start_page 844
container_title American journal of botany
container_volume 108
creator Nelson, Thomas C.
Muir, Christopher D.
Stathos, Angela M.
Vanderpool, Daniel D.
Anderson, Kayli
Angert, Amy L.
Fishman, Lila
description Premise Across taxa, vegetative and floral traits that vary along a fast‐slow life‐history axis are often correlated with leaf functional traits arrayed along the leaf economics spectrum, suggesting a constrained set of adaptive trait combinations. Such broad‐scale convergence may arise from genetic constraints imposed by pleiotropy (or tight linkage) within species, or from natural selection alone. Understanding the genetic basis of trait syndromes and their components is key to distinguishing these alternatives and predicting evolution in novel environments. Methods We used a line‐cross approach and quantitative trait locus (QTL) mapping to characterize the genetic basis of twenty leaf functional/physiological, life history, and floral traits in hybrids between annualized and perennial populations of scarlet monkeyflower (Mimulus cardinalis). Results We mapped both single and multi‐trait QTLs for life history, leaf function and reproductive traits, but found no evidence of genetic co‐ordination across categories. A major QTL for three leaf functional traits (thickness, photosynthetic rate, and stomatal resistance) suggests that a simple shift in leaf anatomy may be key to adaptation to seasonally dry habitats. Conclusions Our results suggest that the co‐ordination of resource‐acquisitive leaf physiological traits with a fast life‐history and more selfing mating system results from environmental selection rather than functional or genetic constraint. Independent assortment of distinct trait modules, as well as a simple genetic basis to leaf physiological traits associated with drought escape, may facilitate adaptation to changing climates.
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Such broad‐scale convergence may arise from genetic constraints imposed by pleiotropy (or tight linkage) within species, or from natural selection alone. Understanding the genetic basis of trait syndromes and their components is key to distinguishing these alternatives and predicting evolution in novel environments. Methods We used a line‐cross approach and quantitative trait locus (QTL) mapping to characterize the genetic basis of twenty leaf functional/physiological, life history, and floral traits in hybrids between annualized and perennial populations of scarlet monkeyflower (Mimulus cardinalis). Results We mapped both single and multi‐trait QTLs for life history, leaf function and reproductive traits, but found no evidence of genetic co‐ordination across categories. A major QTL for three leaf functional traits (thickness, photosynthetic rate, and stomatal resistance) suggests that a simple shift in leaf anatomy may be key to adaptation to seasonally dry habitats. Conclusions Our results suggest that the co‐ordination of resource‐acquisitive leaf physiological traits with a fast life‐history and more selfing mating system results from environmental selection rather than functional or genetic constraint. Independent assortment of distinct trait modules, as well as a simple genetic basis to leaf physiological traits associated with drought escape, may facilitate adaptation to changing climates.</description><identifier>ISSN: 0002-9122</identifier><identifier>EISSN: 1537-2197</identifier><identifier>DOI: 10.1002/ajb2.1660</identifier><language>eng</language><publisher>Columbus: Botanical Society of America, Inc</publisher><subject>Adaptation ; annuality ; Climate ; Climate change ; Constraints ; Divergence ; Drought ; Erythranthe ; Gene mapping ; Hybrids ; leaf economics spectrum ; leaf physiology ; Leaves ; Life history ; Mapping ; mating system ; Mimulus cardinalis ; Natural selection ; Ordination ; Photosynthesis ; Phrymaceae ; Physiology ; Pleiotropy ; Populations ; QTL mapping ; Quantitative trait loci ; Stomata ; tradeoff</subject><ispartof>American journal of botany, 2021-05, Vol.108 (5), p.844-856</ispartof><rights>2021 Botanical Society of America</rights><rights>Copyright Botanical Society of America, Inc. 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Such broad‐scale convergence may arise from genetic constraints imposed by pleiotropy (or tight linkage) within species, or from natural selection alone. Understanding the genetic basis of trait syndromes and their components is key to distinguishing these alternatives and predicting evolution in novel environments. Methods We used a line‐cross approach and quantitative trait locus (QTL) mapping to characterize the genetic basis of twenty leaf functional/physiological, life history, and floral traits in hybrids between annualized and perennial populations of scarlet monkeyflower (Mimulus cardinalis). Results We mapped both single and multi‐trait QTLs for life history, leaf function and reproductive traits, but found no evidence of genetic co‐ordination across categories. A major QTL for three leaf functional traits (thickness, photosynthetic rate, and stomatal resistance) suggests that a simple shift in leaf anatomy may be key to adaptation to seasonally dry habitats. Conclusions Our results suggest that the co‐ordination of resource‐acquisitive leaf physiological traits with a fast life‐history and more selfing mating system results from environmental selection rather than functional or genetic constraint. 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Muir, Christopher D. ; Stathos, Angela M. ; Vanderpool, Daniel D. ; Anderson, Kayli ; Angert, Amy L. ; Fishman, Lila</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3650-6fe22aed60e2582591756dea9b49ac078298cf46eaef48ac92a186614d77a2533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adaptation</topic><topic>annuality</topic><topic>Climate</topic><topic>Climate change</topic><topic>Constraints</topic><topic>Divergence</topic><topic>Drought</topic><topic>Erythranthe</topic><topic>Gene mapping</topic><topic>Hybrids</topic><topic>leaf economics spectrum</topic><topic>leaf physiology</topic><topic>Leaves</topic><topic>Life history</topic><topic>Mapping</topic><topic>mating system</topic><topic>Mimulus cardinalis</topic><topic>Natural selection</topic><topic>Ordination</topic><topic>Photosynthesis</topic><topic>Phrymaceae</topic><topic>Physiology</topic><topic>Pleiotropy</topic><topic>Populations</topic><topic>QTL mapping</topic><topic>Quantitative trait loci</topic><topic>Stomata</topic><topic>tradeoff</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nelson, Thomas C.</creatorcontrib><creatorcontrib>Muir, Christopher D.</creatorcontrib><creatorcontrib>Stathos, Angela M.</creatorcontrib><creatorcontrib>Vanderpool, Daniel D.</creatorcontrib><creatorcontrib>Anderson, Kayli</creatorcontrib><creatorcontrib>Angert, Amy L.</creatorcontrib><creatorcontrib>Fishman, Lila</creatorcontrib><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of botany</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nelson, Thomas C.</au><au>Muir, Christopher D.</au><au>Stathos, Angela M.</au><au>Vanderpool, Daniel D.</au><au>Anderson, Kayli</au><au>Angert, Amy L.</au><au>Fishman, Lila</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative trait locus mapping reveals an independent genetic basis for joint divergence in leaf function, life‐history, and floral traits between scarlet monkeyflower (Mimulus cardinalis) populations</atitle><jtitle>American journal of botany</jtitle><date>2021-05</date><risdate>2021</risdate><volume>108</volume><issue>5</issue><spage>844</spage><epage>856</epage><pages>844-856</pages><issn>0002-9122</issn><eissn>1537-2197</eissn><abstract>Premise Across taxa, vegetative and floral traits that vary along a fast‐slow life‐history axis are often correlated with leaf functional traits arrayed along the leaf economics spectrum, suggesting a constrained set of adaptive trait combinations. Such broad‐scale convergence may arise from genetic constraints imposed by pleiotropy (or tight linkage) within species, or from natural selection alone. Understanding the genetic basis of trait syndromes and their components is key to distinguishing these alternatives and predicting evolution in novel environments. Methods We used a line‐cross approach and quantitative trait locus (QTL) mapping to characterize the genetic basis of twenty leaf functional/physiological, life history, and floral traits in hybrids between annualized and perennial populations of scarlet monkeyflower (Mimulus cardinalis). Results We mapped both single and multi‐trait QTLs for life history, leaf function and reproductive traits, but found no evidence of genetic co‐ordination across categories. A major QTL for three leaf functional traits (thickness, photosynthetic rate, and stomatal resistance) suggests that a simple shift in leaf anatomy may be key to adaptation to seasonally dry habitats. Conclusions Our results suggest that the co‐ordination of resource‐acquisitive leaf physiological traits with a fast life‐history and more selfing mating system results from environmental selection rather than functional or genetic constraint. Independent assortment of distinct trait modules, as well as a simple genetic basis to leaf physiological traits associated with drought escape, may facilitate adaptation to changing climates.</abstract><cop>Columbus</cop><pub>Botanical Society of America, Inc</pub><doi>10.1002/ajb2.1660</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-2555-3878</orcidid><orcidid>https://orcid.org/0000-0003-0627-091X</orcidid><orcidid>https://orcid.org/0000-0003-3082-0133</orcidid><orcidid>https://orcid.org/0000-0002-7297-9049</orcidid><oa>free_for_read</oa></addata></record>
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source Wiley Online Library Journals Frontfile Complete; Wiley Free Content; EZB-FREE-00999 freely available EZB journals
subjects Adaptation
annuality
Climate
Climate change
Constraints
Divergence
Drought
Erythranthe
Gene mapping
Hybrids
leaf economics spectrum
leaf physiology
Leaves
Life history
Mapping
mating system
Mimulus cardinalis
Natural selection
Ordination
Photosynthesis
Phrymaceae
Physiology
Pleiotropy
Populations
QTL mapping
Quantitative trait loci
Stomata
tradeoff
title Quantitative trait locus mapping reveals an independent genetic basis for joint divergence in leaf function, life‐history, and floral traits between scarlet monkeyflower (Mimulus cardinalis) populations
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