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Shared Genomic Regions Between Derivatives of a Large Segregating Population of Maize Identified Using Bulked Segregant Analysis Sequencing and Traditional Linkage Analysis

Journal Article · · G3
 [1];  [2];  [3];  [4];  [5];  [5];  [4];  [6];  [6]
  1. Univ. of Wisconsin, Madison, WI (United States). Dept. of Agronomy; DOE/OSTI
  2. Univ. of California, Davis, CA (United States). Dept. of Plant Sciences
  3. Univ. of Minnesota, Minneapolis, MN (United States). Dept. of Agronomy and Plant Genetics
  4. Michigan State Univ., East Lansing, MI (United States). Plant Biology; Michigan State Univ., East Lansing, MI (United States). Dept. of Energy Great Lakes Bioenergy Research Center
  5. USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
  6. Univ. of Wisconsin, Madison, WI (United States). Dept. of Agronomy; Univ. of Wisconsin, Madison, WI (United States). Dept. of Energy Great Lakes Bioenergy Research Center
+ Show Author Affiliations
Delayed transition from the vegetative stage to the reproductive stage of development and increased plant height have been shown to increase biomass productivity in grasses. The goal of this project was to detect quantitative trait loci using extremes from a large synthetic population, as well as a related recombinant inbred line mapping population for these two traits. Ten thousand individuals from a B73 × Mo17 noninbred population intermated for 14 generations (IBM Syn14) were grown at a density of approximately 16,500 plants ha-1. Flowering time and plant height were measured within this population. DNA was pooled from the 46 most extreme individuals from each distributional tail for each of the traits measured and used in bulk segregant analysis (BSA) sequencing. Allelic divergence at each of the ~1.1 million SNP loci was estimated as the difference in allele frequencies between the selected extremes. Additionally, 224 intermated B73 × Mo17 recombinant inbred lines were concomitantly grown at a similar density adjacent to the large synthetic population and were assessed for flowering time and plant height. Using the BSA sequencing method, 14 and 13 genomic regions were identified for flowering time and plant height, respectively. Linkage mapping with the RIL population identified eight and three regions for flowering time and plant height, respectively. Of the regions identified, three colocalized between the two populations for flowering time and two colocalized for plant height. This study demonstrates the utility of using BSA sequencing for the dissection of complex quantitative traits important for production of lignocellulosic ethanol.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC02-05CH11231; FC02-07ER64494
OSTI ID:
1627955
Journal Information:
G3, Journal Name: G3 Journal Issue: 8 Vol. 5; ISSN 2160-1836
Publisher:
Genetics Society of AmericaCopyright Statement
Country of Publication:
United States
Language:
English

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