Two genomic regions contribute disproportionately to geographic differentiation in wild barley
| Autor: | Ana M. Gonzales, Zhou Fang, Peter L. Morrell, Michael T. Clegg, Kevin P. Smith, Brian J. Steffenson, Gary J. Muehlbauer |
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| Rok vydání: | 2014 |
| Předmět: |
Genotype
Population Biology Investigations Environment environmental association Genome Polymorphism Single Nucleotide Geographical distance Genetic variation Genetics Polymorphism education chromosome structural variation Molecular Biology wild barley Genetics (clinical) Local adaptation education.field_of_study Principal Component Analysis Sequence Analysis RNA Haplotype Human Genome Genetic Variation Hordeum population structure Single Nucleotide Plant Genetics Population Haplotypes Evolutionary biology Genetic marker RNA Sequence Analysis Genome Plant local adaptation |
| Zdroj: | G3 (Bethesda, Md.), vol 4, iss 7 G3: Genes|Genomes|Genetics Fang, Z; Gonzales, AM; Clegg, MT; Smith, KP; Muehlbauer, GJ; Steffenson, BJ; et al.(2014). Two genomic regions contribute disproportionately to geographic differentiation in wild barley. G3: Genes, Genomes, Genetics, 4(7), 1193-1203. doi: 10.1534/g3.114.010561. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/6jm2c51t |
| Popis: | Genetic differentiation in natural populations is driven by geographic distance and by ecological or physical features within and between natural habitats that reduce migration. The primary population structure in wild barley differentiates populations east and west of the Zagros Mountains. Genetic differentiation between eastern and western populations is uneven across the genome and is greatest on linkage groups 2H and 5H. Genetic markers in these two regions demonstrate the largest difference in frequency between the primary populations and have the highest informativeness for assignment to each population. Previous cytological and genetic studies suggest there are chromosomal structural rearrangements (inversions or translocations) in these genomic regions. Environmental association analyses identified an association with both temperature and precipitation variables on 2H and with precipitation variables on 5H. |
| Databáze: | OpenAIRE |
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