Crop plants as models for understanding plant adaptation and diversification

Since the time of Darwin, biologists have understood the promise of crop plants and their wild relatives for providing insight into the mechanisms of phenotypic evolution. The intense selection imposed by our ancestors during plant domestication and subsequent crop improvement has generated remarkab...

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Main Authors: Kenneth M Olsen, Jonathan F Wendel
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-08-01
Series:Frontiers in Plant Science
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpls.2013.00290/full
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spelling doaj-31fc9daace5a422c82588925984fe4142020-11-24T23:55:36ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2013-08-01410.3389/fpls.2013.0029057476Crop plants as models for understanding plant adaptation and diversificationKenneth M Olsen0Jonathan F Wendel1Washington University in St. LouisIowa State UniversitySince the time of Darwin, biologists have understood the promise of crop plants and their wild relatives for providing insight into the mechanisms of phenotypic evolution. The intense selection imposed by our ancestors during plant domestication and subsequent crop improvement has generated remarkable transformations of plant phenotypes. Unlike evolution in natural settings, descendent and antecedent conditions for crop plants are often both extant, providing opportunities for direct comparisons through crossing and other experimental approaches. Moreover, since domestication has repeatedly generated a suite of domestication syndrome traits that are shared among crops, opportunities exist for gaining insight into the genetic and developmental mechanisms that underlie parallel adaptive evolution. Advances in our understanding of the genetic architecture of domestication-related traits have emerged from combining powerful molecular technologies with advanced experimental designs, including nested association mapping, genome-wide association studies, population genetic screens for signatures of selection, and candidate gene approaches. These studies may be combined with high-throughput evaluations of the various omics involved in trait transformation, revealing a diversity of underlying causative mutations affecting phenotypes and their downstream propagation through biological networks. We summarize the state of our knowledge of the mutational spectrum that generates phenotypic novelty in domesticated plant species, and our current understanding of how domestication can reshape gene expression networks and emergent phenotypes. An exploration of traits that have been subject to similar selective pressures across crops (e.g., flowering time) suggests that a diversity of targeted genes and causative mutational changes can underlie parallel adaptation in the context of crop evolution.http://journal.frontiersin.org/Journal/10.3389/fpls.2013.00290/fulladaptationAssociation mappingevolutionary genomicsCrop Improvementparallel evolutionartificial selection
collection DOAJ
language English
format Article
sources DOAJ
author Kenneth M Olsen
Jonathan F Wendel
spellingShingle Kenneth M Olsen
Jonathan F Wendel
Crop plants as models for understanding plant adaptation and diversification
Frontiers in Plant Science
adaptation
Association mapping
evolutionary genomics
Crop Improvement
parallel evolution
artificial selection
author_facet Kenneth M Olsen
Jonathan F Wendel
author_sort Kenneth M Olsen
title Crop plants as models for understanding plant adaptation and diversification
title_short Crop plants as models for understanding plant adaptation and diversification
title_full Crop plants as models for understanding plant adaptation and diversification
title_fullStr Crop plants as models for understanding plant adaptation and diversification
title_full_unstemmed Crop plants as models for understanding plant adaptation and diversification
title_sort crop plants as models for understanding plant adaptation and diversification
publisher Frontiers Media S.A.
series Frontiers in Plant Science
issn 1664-462X
publishDate 2013-08-01
description Since the time of Darwin, biologists have understood the promise of crop plants and their wild relatives for providing insight into the mechanisms of phenotypic evolution. The intense selection imposed by our ancestors during plant domestication and subsequent crop improvement has generated remarkable transformations of plant phenotypes. Unlike evolution in natural settings, descendent and antecedent conditions for crop plants are often both extant, providing opportunities for direct comparisons through crossing and other experimental approaches. Moreover, since domestication has repeatedly generated a suite of domestication syndrome traits that are shared among crops, opportunities exist for gaining insight into the genetic and developmental mechanisms that underlie parallel adaptive evolution. Advances in our understanding of the genetic architecture of domestication-related traits have emerged from combining powerful molecular technologies with advanced experimental designs, including nested association mapping, genome-wide association studies, population genetic screens for signatures of selection, and candidate gene approaches. These studies may be combined with high-throughput evaluations of the various omics involved in trait transformation, revealing a diversity of underlying causative mutations affecting phenotypes and their downstream propagation through biological networks. We summarize the state of our knowledge of the mutational spectrum that generates phenotypic novelty in domesticated plant species, and our current understanding of how domestication can reshape gene expression networks and emergent phenotypes. An exploration of traits that have been subject to similar selective pressures across crops (e.g., flowering time) suggests that a diversity of targeted genes and causative mutational changes can underlie parallel adaptation in the context of crop evolution.
topic adaptation
Association mapping
evolutionary genomics
Crop Improvement
parallel evolution
artificial selection
url http://journal.frontiersin.org/Journal/10.3389/fpls.2013.00290/full
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