Theoretical and Applied Genetics

, Volume 127, Issue 2, pp 283–295 | Cite as

Genetic diversity and population structure in the US Upland cotton (Gossypium hirsutum L.)

  • Priyanka Tyagi
  • Michael A. Gore
  • Daryl T. Bowman
  • B. Todd Campbell
  • Joshua A. Udall
  • Vasu Kuraparthy
Original Paper

Abstract

Key message

Genetic diversity and population structure in the US Upland cotton was established and core sets of allelic richness were identified for developing association mapping populations in cotton.

Abstract

Elite plant breeding programs could likely benefit from the unexploited standing genetic variation of obsolete cultivars without the yield drag typically associated with wild accessions. A set of 381 accessions comprising 378 Upland (Gossypiumhirsutum L.) and 3 G.barbadense L. accessions of the United States cotton belt were genotyped using 120 genome-wide SSR markers to establish the genetic diversity and population structure in tetraploid cotton. These accessions represent more than 100 years of Upland cotton breeding in the United States. Genetic diversity analysis identified a total of 546 alleles across 141 marker loci. Twenty-two percent of the alleles in Upland accessions were unique, specific to a single accession. Population structure analysis revealed extensive admixture and identified five subgroups corresponding to Southeastern, Midsouth, Southwest, and Western zones of cotton growing areas in the United States, with the three accessions of G. barbadense forming a separate cluster. Phylogenetic analysis supported the subgroups identified by STRUCTURE. Average genetic distance between G. hirsutum accessions was 0.195 indicating low levels of genetic diversity in Upland cotton germplasm pool. The results from both population structure and phylogenetic analysis were in agreement with pedigree information, although there were a few exceptions. Further, core sets of different sizes representing different levels of allelic richness in Upland cotton were identified. Establishment of genetic diversity, population structure, and identification of core sets from this study could be useful for genetic and genomic analysis and systematic utilization of the standing genetic variation in Upland cotton.

Notes

Acknowledgments

We thank Dr. Gina Brown-Guedira for providing access to the genotyping facility and Jared Smith, Kim Howell and Blake Bowen for their technical assistance. We are grateful to Cotton Incorporated, NC Agricultural Research Service and NC Cotton Producers Association for funding support. The authors would like to thank NC State University Plant Breeding Center and Monsanto Company for providing PhD assistantship to Priyanka Tyagi.

Conflict of interest

The authors declare that there are no conflicts of interest in the reported research.

Ethical standards

The authors note that this research is performed and reported in accordance with ethical standards of the scientific conduct.

Supplementary material

122_2013_2217_MOESM1_ESM.pdf (108 kb)
Figure S1. Neighbor-joining tree of the Upland cotton diversity panel. Colors in the dendrogram correspond to different groups Group 1 (red-western), Group 2 (green-southeastern), Group 3 (blue-southwestern), and Group 4 (yellow-midsouth) of the Upland cotton diversity panel as identified in Structure analysis (PDF 107 kb)
122_2013_2217_MOESM2_ESM.xlsx (25 kb)
Table S1. List of G. hirsutum accessions with identification number (XLSX 25 kb)
122_2013_2217_MOESM3_ESM.xlsx (15 kb)
Table S2: List of SSR primers used to genotype a panel of 381 cotton accessions (XLSX 14 kb)
122_2013_2217_MOESM4_ESM.xlsx (15 kb)
Table S3. Summary statistics for SSR loci used to genotype G. hirsutum accessions (XLSX 15 kb)
122_2013_2217_MOESM5_ESM.xlsx (126 kb)
Table S4. List of G. hirsutum accessions with unique alleles (present in only one accession) (XLSX 125 kb)
122_2013_2217_MOESM6_ESM.xlsx (33 kb)
Table S5. Proportional Membership of cotton accessions to clusters as determined by model-based analysis using STRUCTURE. Lines were assigned to a group based on membership probability higher than 0.70. The identified cluster roughly corresponds to following geographical areas of cotton belt: Cluster 1-Western, cluster 2-Eastern, cluster 3-southwest, cluster 4-midsouth, and cluster 5-G. barbadense (XLSX 33 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Priyanka Tyagi
    • 1
  • Michael A. Gore
    • 2
  • Daryl T. Bowman
    • 3
  • B. Todd Campbell
    • 4
  • Joshua A. Udall
    • 5
  • Vasu Kuraparthy
    • 1
  1. 1.Crop Science DepartmentNorth Carolina State UniversityRaleighUSA
  2. 2.Department of Plant Breeding and GeneticsCornell UniversityIthacaUSA
  3. 3.North Carolina Foundation Seed Producers Inc.ZebulonUSA
  4. 4.Coastal Plains Soil, Water and Plant Research CenterUSDA-ARSFlorenceUSA
  5. 5.Department of Plant and Wildlife SciencesBrigham Young UniversityProvoUSA

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