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ARS Home » Southeast Area » Mississippi State, Mississippi » Crop Science Research Laboratory » Genetics and Sustainable Agriculture Research » Research » Publications at this Location » Publication #98385

Title: MOLECULAR MARKER BASED GENETIC ANALYSIS OF QTL'S USING RECOMBINANT INBRED LINES IN COTTON

Author
item TAN, H - MISSISSIPPI STATE UNIV
item WU, J - MISSISSIPPI STATE UNIV
item Saha, Sukumar
item Jenkins, Johnie
item McCarty, Jack

Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Abstract Only
Publication Acceptance Date: 1/7/1999
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Primary challenges in molecular mapping of quantitative trait loci (QTLs) are in constructing an agronomically acceptable mapping population which can detect small linkage effects free of distorted segregation and developing an efficient molecular marker system which can detect large numbers of polymorphic markers. The specific objectives of this project are: (1) to develop a useful mapping population of Gossypium hirsutum L. recombinant inbred (RI) lines with diverse agronomic and fiber traits; (2) to optimize an efficient molecular marker system that can rapidly score a large number of polymorphic markers; and (3) to identify a large number of polymorphic markers between the two parents of the RI lines to eventually construct a linkage map of molecular markers and QTL. About 598 RI lines were derived without artificial selection from 96 individuals of F2 population from an intraspecific cross (Gossypium hirsutum L.) of HS46 and MARCABUCAG8US-1-88 by bulk-selfing technique from F3 through F6. Individua plants were selfed in F6 to produce RI lines. All of the 598 RI lines were grown this summer to record agronomic and fiber traits. SSR and AFLP methods were used to develop DNA markers using the automated PE-Applied Biosystems ABI PRISM 310 Genetic Analyzer (PE Applied Biosystems, Foster City, CA). Our results demonstrated that we have about 598 RI lines that are very diverse in many agronomic and fiber traits. We used a DNA marker method that is non-radioactive, highly sensitive to resolve one/two base pair DNA fragment size differences and less laborious. We were able to rapidly detect at least 197 polymorphic SSR and AFLP markers between the two parents of the RI populations.