Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array

Hinze Lori L., Hulse-Kemp Amanda M., Wilson Lain W., Zhu Qian-Hao, Llewellyn Danny, Taylor Jen M., Spriggs Andrew, Fang David D., Ulloa Mauricio, Burke John, Giband Marc, Lacape Jean-Marc, Van Deynze Allen, Udall Joshua, Scheffler Jodi, Hague Steve, Wendel Jonathan F., Pepper Alan, Frelichowski James, Lawley Cindy T., Jones Don C., Percy Richard, Stelly David M.. 2017. Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array. BMC Plant Biology, 17:37, 20 p.

https://doi.org/10.1186/s12870-017-0981-y

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Quartile : Q1, Sujet : PLANT SCIENCES

Résumé : 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.

Mots-clés Agrovoc : Gossypium hirsutum, germoplasme, collection de matériel génétique, variation génétique, marqueur génétique, teneur en protéines, graine de coton, sélection, génétique des populations, génotype, identification