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ARS Home » Plains Area » Lubbock, Texas » Cropping Systems Research Laboratory » Plant Stress and Germplasm Development Research » Research » Publications at this Location » Publication #360060
Research Project: Development of Economically Important Row Crops that Improve the Resilience of U.S. Agricultural Production to Present and Future Production Challenges

Location: Plant Stress and Germplasm Development Research

Title: Recombination rates in interspecific and intraspecific cotton mapping populations (LT)

Author
item DE SANTIAGO, LUIS - Texas A&M University
item LIN, YU-MING - Texas A&M University
item Ulloa, Mauricio
item STELLY, DAVID - Texas A&M University

Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Abstract Only
Publication Acceptance Date: 1/25/2019
Publication Date: 5/15/2019
Citation: De Santiago, L.M., Lin, Y., Ulloa, M., Stelly, D.M. 2019. Recombination rates in interspecific and intraspecific cotton mapping populations (LT). National Cotton Council Beltwide Cotton Conference. p. 388.

Interpretive Summary:

Technical Abstract: Recombination is crucial for genome stability by ensuring proper chromosome segregation and can increase genetic diversity by generating novel allele combinations during meiosis. Recombination also allows for the localization of markers, such as single nucleotide polymorphisms (SNPs) and simple sequence repeats (SSRs), through linkage mapping and effects the pattern of linkage disequilibrium between markers and alleles. The rate and distribution of recombination within the genome is important for the creation of novel alleles within cotton hybrids and influences the rate at which the co-inheritance of favorable and non-favorable alleles occurs (linkage drag). In this study, the recombination rates within 2 intra- and 3 inter- specific cotton mapping populations are assessed. Five high-density, SNP-based genetic maps were aligned to the G. hirsutum v2 sequence assembly (unpublished) and recombination rates across chromosomes were calculated using linear regressions of 1 mega base (Mb), non-overlapping windows with a minimum of 4 SNPs per window. Significant differences in recombination rates between mapping populations are observed.