Experimental evolution in maize with replicated divergent selection identifies two plant-height-associated regions.
Experimental evolution studies are common in agricultural research, where they are often deemed "long-term selection." These are often used to perform selection mapping, which involves identifying markers that were putatively under selection based on finding signals of selection left in the genome....
| Publicado en: | Genetics Vol. 229; no. 3; pp. 1 - 15 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Mar2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184136599&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184136599 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00166731 GNT jtl: Genetics issn: 00166731 maglogo: N pubinfo: dt: Mar2025 vid: 229 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 184136599 184136599 184136599 10.1093/genetics/iyaf012 184136599 ppf: 1 ppct: 14 formats: tig: atl: Experimental evolution in maize with replicated divergent selection identifies two plant-height-associated regions. aug: au: Tost, Mila Westhues, Cathy Morrison, Ginnie Kaufmann, Dietrich Beissinger, Timothy affil: Department of Crop Science, Division of Plant Breeding Methodology, University of Goettingen, Carl-Sprengel-Weg 1, Goettingen 37075, Germany sug: subj: Phylogenetics Corn Growth Funding Source Plants Chromosomes Haplotypes Genotype Genome Sequence Analysis Polymorphism, Single Nucleotide Genetic Markers Regression Data Analysis Software Phenotype Algorithms Confidence Intervals Descriptive Statistics Agriculture ab: Experimental evolution studies are common in agricultural research, where they are often deemed "long-term selection." These are often used to perform selection mapping, which involves identifying markers that were putatively under selection based on finding signals of selection left in the genome. A challenge of previous selection mapping studies, especially in agricultural research, has been the specification of robust significance thresholds. This is in large part because long-term selection studies in crops have rarely included replication. Usually, significance thresholds in long-term selection experiments are based on outliers from an empirical distribution. This approach is prone to missing true positives or including false positives. Under laboratory conditions with model species, replicated selection has been shown to be a powerful tool, especially for the specification of significance thresholds. Another challenge is that commonly used single-marker-based statistics may identify neutral linked loci which have hitchhiked along with regions that are actually under selection. In this study, we conducted divergent, replicated selection for short and tall plant height in a random-mating maize population under real field conditions. Selection of the 5% tallest and shortest plants was conducted for 3 generations. Significance thresholds were specified using the false discovery rate for selection (FDRfS) based on a window-based statistic applied to a statistic leveraging replicated selection (FSTSum). Overall, we found 2 significant regions putatively under selection. One region was located on chromosome 3 close to the plant-height genes Dwarf1 and iAA8. We applied a haplotype block analysis to further dissect the pattern of selection in significant regions of the genome. We observed patterns of strong selection in the subpopulations selected for short plant height on chromosome 3. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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