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      Distinct Genetic Architectures for Male and Female Inflorescence Traits of Maize

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          Abstract

          We compared the genetic architecture of thirteen maize morphological traits in a large population of recombinant inbred lines. Four traits from the male inflorescence (tassel) and three traits from the female inflorescence (ear) were measured and studied using linkage and genome-wide association analyses and compared to three flowering and three leaf traits previously studied in the same population. Inflorescence loci have larger effects than flowering and leaf loci, and ear effects are larger than tassel effects. Ear trait models also have lower predictive ability than tassel, flowering, or leaf trait models. Pleiotropic loci were identified that control elongation of ear and tassel, consistent with their common developmental origin. For these pleiotropic loci, the ear effects are larger than tassel effects even though the same causal polymorphisms are likely involved. This implies that the observed differences in genetic architecture are not due to distinct features of the underlying polymorphisms. Our results support the hypothesis that genetic architecture is a function of trait stability over evolutionary time, since the traits that changed most during the relatively recent domestication of maize have the largest effects.

          Author Summary

          Genetic architecture is of broad interest in evolutionary biology, plant and animal breeding, and medicine, because it influences both the response to selection and the success of trait mapping. Results from the most rigorously studied genetic systems suggest a similar genetic architecture across all species and traits studied, with many loci of small effect. A few strongly selected traits in domesticated organisms show unusual genetic architecture, for reasons that are unclear. We compare maize inflorescence, flowering, and leaf traits and show that inflorescence traits have distinct genetic architectures characterized by larger effects. Female inflorescences (ears) have larger effects than male inflorescences (tassels) even though the two structures have similar developmental origins. Analysis of pleiotropic loci shows that these larger effects are not inherent features of the underlying polymorphisms. Rather, maize inflorescences appear to be exceptionally labile, with female inflorescences more labile than male inflorescences. These results support the canalization hypothesis, which predicts that rapidly changing traits will have larger effects. We suggest that maize inflorescence traits, and ear traits in particular, have larger effects than flowering or leaf traits as a result of strong directional selection during maize domestication.

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          A single domestication for maize shown by multilocus microsatellite genotyping.

          There exists extraordinary morphological and genetic diversity among the maize landraces that have been developed by pre-Columbian cultivators. To explain this high level of diversity in maize, several authors have proposed that maize landraces were the products of multiple independent domestications from their wild relative (teosinte). We present phylogenetic analyses based on 264 individual plants, each genotyped at 99 microsatellites, that challenge the multiple-origins hypothesis. Instead, our results indicate that all maize arose from a single domestication in southern Mexico about 9,000 years ago. Our analyses also indicate that the oldest surviving maize types are those of the Mexican highlands with maize spreading from this region over the Americas along two major paths. Our phylogenetic work is consistent with a model based on the archaeological record suggesting that maize diversified in the highlands of Mexico before spreading to the lowlands. We also found only modest evidence for postdomestication gene flow from teosinte into maize.
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            Mapping genes for complex traits in domestic animals and their use in breeding programmes.

            Genome-wide panels of SNPs have recently been used in domestic animal species to map and identify genes for many traits and to select genetically desirable livestock. This has led to the discovery of the causal genes and mutations for several single-gene traits but not for complex traits. However, the genetic merit of animals can still be estimated by genomic selection, which uses genome-wide SNP panels as markers and statistical methods that capture the effects of large numbers of SNPs simultaneously. This approach is expected to double the rate of genetic improvement per year in many livestock systems.
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              Many sequence variants affecting diversity of adult human height.

              Adult human height is one of the classical complex human traits. We searched for sequence variants that affect height by scanning the genomes of 25,174 Icelanders, 2,876 Dutch, 1,770 European Americans and 1,148 African Americans. We then combined these results with previously published results from the Diabetes Genetics Initiative on 3,024 Scandinavians and tested a selected subset of SNPs in 5,517 Danes. We identified 27 regions of the genome with one or more sequence variants showing significant association with height. The estimated effects per allele of these variants ranged between 0.3 and 0.6 cm and, taken together, they explain around 3.7% of the population variation in height. The genes neighboring the identified loci cluster in biological processes related to skeletal development and mitosis. Association to three previously reported loci are replicated in our analyses, and the strongest association was with SNPs in the ZBTB38 gene.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                November 2011
                November 2011
                17 November 2011
                : 7
                : 11
                : e1002383
                Affiliations
                [1 ]Institute for Genomic Diversity, Cornell University, Ithaca, New York, United States of America
                [2 ]Department of Crop Sciences, University of Illinois, Urbana, Illinois, United States of America
                [3 ]United States Department of Agriculture – Agricultural Research Service, Robert W. Holley Center for Agriculture and Health, Ithaca, New York, United States of America
                [4 ]United States Department of Agriculture – Agricultural Research Service and Department of Crop Science, North Carolina State University, Raleigh, North Carolina, United States of America
                [5 ]United States Department of Agriculture – Agricultural Research Service and Division of Plant Sciences, University of Missouri, Columbia, Missouri, United States of America
                [6 ]Department of Plant Breeding and Genetics, Cornell University, Ithaca, New York, United States of America
                [7 ]Department of Agronomy, Purdue University, West Lafayette, Indiana, United States of America
                The Wellcome Trust Centre for Human Genetics, University of Oxford, United Kingdom
                Author notes
                * E-mail: pjb34@ 123456illinois.edu (PJ Brown); torbert@ 123456purdue.edu (TR Rocheford)

                Conceived and designed the experiments: JB Holland, MD McMullen, ES Buckler, TR Rocheford. Performed the experiments: PJ Brown, N Upadyayula, GS Mahone, S Flink-Garcia. Analyzed the data: PJ Brown, ES Buckler, TR Rocheford. Contributed reagents/materials/analysis tools: PJ Brown, F Tian, PJ Bradbury, S Myles. Wrote the paper: PJ Brown, F Tian, JB Holland, MD McMullen, ES Buckler, TR Rocheford.

                Article
                PGENETICS-D-11-00970
                10.1371/journal.pgen.1002383
                3219606
                22125498
                6b6564b0-b400-4787-990a-04f9b164d0df
                This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
                History
                : 11 May 2011
                : 29 September 2011
                Page count
                Pages: 14
                Categories
                Research Article
                Agriculture
                Crops
                Biology
                Evolutionary Biology
                Genetics
                Genomics
                Plant Science

                Genetics
                Genetics

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