Campus Units
Ecology, Evolution and Organismal Biology
Document Type
Article
Publication Version
Published Version
Publication Date
2017
Journal or Book Title
BMC Plant Biology
Volume
17
Issue
1
First Page
37
DOI
10.1186/s12870-017-0981-y
Abstract
Background
Cotton germplasm resources contain beneficial alleles that can be exploited to develop germplasm adapted to emerging environmental and climate conditions. Accessions and lines have traditionally been characterized based on phenotypes, but phenotypic profiles are limited by the cost, time, and space required to make visual observations and measurements. With advances in molecular genetic methods, genotypic profiles are increasingly able to identify differences among accessions due to the larger number of genetic markers that can be measured. A combination of both methods would greatly enhance our ability to characterize germplasm resources. Recent efforts have culminated in the identification of sufficient SNP markers to establish high-throughput genotyping systems, such as the CottonSNP63K array, which enables a researcher to efficiently analyze large numbers of SNP markers and obtain highly repeatable results. In the current investigation, we have utilized the SNP array for analyzing genetic diversity primarily among cotton cultivars, making comparisons to SSR-based phylogenetic analyses, and identifying loci associated with seed nutritional traits.
Results
The SNP markers distinctly separated G. hirsutum from other Gossypium species and distinguished the wild from cultivated types of G. hirsutum. The markers also efficiently discerned differences among cultivars, which was the primary goal when designing the CottonSNP63K array. Population structure within the genus compared favorably with previous results obtained using SSR markers, and an association study identified loci linked to factors that affect cottonseed protein content.
Conclusions
Our results provide a large genome-wide variation data set for primarily cultivated cotton. Thousands of SNPs in representative cotton genotypes provide an opportunity to finely discriminate among cultivated cotton from around the world. The SNPs will be relevant as dense markers of genome variation for association mapping approaches aimed at correlating molecular polymorphisms with variation in phenotypic traits, as well as for molecular breeding approaches in cotton.
Copyright Owner
The Author(s)
Copyright Date
2017
Language
en
File Format
application/pdf
Recommended Citation
Wendel, Jonathan F.; Hinze, Lori L.; Hulse-kemp, Amanda M.; Wilson, Iain W.; Zhu, Qian-Hao; Llewellyn, Danny J.; Taylor, Jen M.; Spriggs, Andrew; Fang, David D.; Ulloa, Mauricio; Burke, John J.; Giband, Marc; Lacape, Jean-Marc; Van Deynze, Allen; Udall, Joshua A.; Scheffler, Jodi A.; Hague, Steve; Pepper, Alan E.; Frelichowski, James; Lawley, Cindy T.; Jones, Don C.; Percy, Richard G.; and Stelly, David M., "Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array" (2017). Ecology, Evolution and Organismal Biology Publications. 236.
https://lib.dr.iastate.edu/eeob_ag_pubs/236
Included in
Agronomy and Crop Sciences Commons, Behavior and Ethology Commons, Evolution Commons, Plant Breeding and Genetics Commons
Comments
This article is published as Hinze, Lori L., Amanda M. Hulse-Kemp, Iain W. Wilson, Qian-Hao Zhu, Danny J. Llewellyn, Jen M. Taylor, Andrew Spriggs et al. "Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array." BMC plant biology 17, no. 1 (2017): 37. 10.1186/s12870-017-0981-y