A less selfish view of genome size evolution in maize
Genome size varies by many orders of magnitude across plants and animals, but resolving the most important evolutionary forces driving this variation remains challenging. Since eukaryotic genome size variation is not associated with complexity, genetic drift of the amount of noncoding DNA could domi...
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Published in | PLoS genetics Vol. 14; no. 5; p. e1007249 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
10.05.2018
Public Library of Science (PLoS) |
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ISSN | 1553-7404 1553-7390 1553-7404 |
DOI | 10.1371/journal.pgen.1007249 |
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Abstract | Genome size varies by many orders of magnitude across plants and animals, but resolving the most important evolutionary forces driving this variation remains challenging. Since eukaryotic genome size variation is not associated with complexity, genetic drift of the amount of noncoding DNA could dominate, implicating population and species history as key drivers of shifts in DNA content. Alternatively, directional selection could be acting on DNA content, but if so, it has not been resolved which level of selection is most important. Since the predominant component of many eukaryotic genomes is comprised of selfish genetic elements such as transposable elements (TEs) and regions subject to meiotic drive, factors that influence their differential success across populations and species could account for much of the variation in genome size. [6] add to this rich literature by using a quantitative genetics framework to conduct a test of local adaptation, recognizing that genome size is a trait governed by an immense number of small-effect loci. [...]it can be thought of as a quantitative trait under complete genetic control, since the variation in genome size is expected to be a simple function of the net number of insertion and deletion alleles individuals have across the genome. Conversely, other selective pressures on selfish genetic elements may provide an additional source of genome size variation in maize populations beyond the effects of flowering time. Since chromosomal knobs are known to have severe fitness costs, the extent of these costs may well depend on the environment [22], possibly explaining the disproportionate effect of altitude on knobs when genome size is controlled for in this study. |
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AbstractList | Genome size varies by many orders of magnitude across plants and animals, but resolving the most important evolutionary forces driving this variation remains challenging. Since eukaryotic genome size variation is not associated with complexity, genetic drift of the amount of noncoding DNA could dominate, implicating population and species history as key drivers of shifts in DNA content. Alternatively, directional selection could be acting on DNA content, but if so, it has not been resolved which level of selection is most important. Since the predominant component of many eukaryotic genomes is comprised of selfish genetic elements such as transposable elements (TEs) and regions subject to meiotic drive, factors that influence their differential success across populations and species could account for much of the variation in genome size. [6] add to this rich literature by using a quantitative genetics framework to conduct a test of local adaptation, recognizing that genome size is a trait governed by an immense number of small-effect loci. [...]it can be thought of as a quantitative trait under complete genetic control, since the variation in genome size is expected to be a simple function of the net number of insertion and deletion alleles individuals have across the genome. Conversely, other selective pressures on selfish genetic elements may provide an additional source of genome size variation in maize populations beyond the effects of flowering time. Since chromosomal knobs are known to have severe fitness costs, the extent of these costs may well depend on the environment [22], possibly explaining the disproportionate effect of altitude on knobs when genome size is controlled for in this study. Genome size varies by many orders of magnitude across plants and animals, but resolving the most important evolutionary forces driving this variation remains challenging. Since eukaryotic genome size variation is not associated with complexity, genetic drift of the amount of noncoding DNA could dominate, implicating population and species history as key drivers of shifts in DNA content. Alternatively, directional selection could be acting on DNA content, but if so, it has not been resolved which level of selection is most important. Since the predominant component of many eukaryotic genomes is comprised of selfish genetic elements such as transposable elements (TEs) and regions subject to meiotic drive, factors that influence their differential success across populations and species could account for much of the variation in genome size. [6] add to this rich literature by using a quantitative genetics framework to conduct a test of local adaptation, recognizing that genome size is a trait governed by an immense number of small-effect loci. [...]it can be thought of as a quantitative trait under complete genetic control, since the variation in genome size is expected to be a simple function of the net number of insertion and deletion alleles individuals have across the genome. Conversely, other selective pressures on selfish genetic elements may provide an additional source of genome size variation in maize populations beyond the effects of flowering time. Since chromosomal knobs are known to have severe fitness costs, the extent of these costs may well depend on the environment [22], possibly explaining the disproportionate effect of altitude on knobs when genome size is controlled for in this study. |
Audience | Academic |
Author | Wright, Stephen I. Kreiner, Julia M. |
AuthorAffiliation | Department of Ecology & Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada The University of North Carolina at Chapel Hill, UNITED STATES |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29746598$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1093_gbe_evab031 crossref_primary_10_1111_mec_14963 |
Cites_doi | 10.1098/rspb.2013.2780 10.2307/2446305 10.1073/pnas.0807866105 10.1006/anbo.1998.0757 10.1093/genetics/119.3.549 10.1111/nph.12247 10.1371/journal.pbio.2003706 10.1093/genetics/153.1.415 10.1007/s001220051315 10.1098/rspb.2011.1284 10.1038/ng.2313 10.1007/BF02859330 10.1093/aob/mcs099 10.1098/rspb.1972.0042 10.1371/journal.pgen.1004412 10.1073/pnas.95.18.10785 10.1093/aob/mcp271 10.1093/gbe/evr008 10.1038/s41598-017-06153-8 10.1126/science.1178534 10.1534/genetics.117.300060 10.1038/202960a0 10.1371/journal.pone.0007883 10.1111/j.1439-0523.1994.tb00690.x |
ContentType | Journal Article |
Copyright | COPYRIGHT 2018 Public Library of Science 2018 Kreiner, Wright. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2018 Kreiner, Wright 2018 Kreiner, Wright |
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SubjectTerms | Adaptation Biology and Life Sciences Botanical research Cell cycle Chromosomes Corn Deoxyribonucleic acid DNA Evolution Evolution, Molecular Evolutionary adaptation Evolutionary biology Genetic aspects Genetic research Genome Size Genome, Plant Genomes Metabolism Natural history Physiology Poaceae Population Quantitative genetics Research and Analysis Methods Zea mays Zea mays - genetics |
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Title | A less selfish view of genome size evolution in maize |
URI | https://www.ncbi.nlm.nih.gov/pubmed/29746598 https://www.proquest.com/docview/2049970888 https://www.proquest.com/docview/2038265274 https://pubmed.ncbi.nlm.nih.gov/PMC5944910 https://doaj.org/article/cc975e9c6d5745cb90d81e4cdfe5014f http://dx.doi.org/10.1371/journal.pgen.1007249 |
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