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Genetic and genomic resources to study natural variation in Brassica rapa.
Lou, Ping; Woody, Scott; Greenham, Kathleen; VanBuren, Robert; Colle, Marivi; Edger, Patrick P; Sartor, Ryan; Zheng, Yakun; Levendoski, Nathan; Lim, Jan; So, Calvin; Stoveken, Brian; Woody, Timothy; Zhao, Jianjun; Shen, Shuxing; Amasino, Richard M; McClung, C Robertson.
Affiliation
  • Lou P; Department of Biological Sciences Dartmouth College Hanover NH USA.
  • Woody S; Department of Biochemistry University of Wisconsin Madison WI USA.
  • Greenham K; Department of Biological Sciences Dartmouth College Hanover NH USA.
  • VanBuren R; Department of Plant and Microbial Biology University of Minnesota St. Paul MN USA.
  • Colle M; Department of Horticulture Michigan State University East Lansing MI USA.
  • Edger PP; Department of Horticulture Michigan State University East Lansing MI USA.
  • Sartor R; Department of Horticulture Michigan State University East Lansing MI USA.
  • Zheng Y; Crop and Soil Sciences North Carolina State University Raleigh NC USA.
  • Levendoski N; Department of Biological Sciences Dartmouth College Hanover NH USA.
  • Lim J; State Key Laboratory of North China Crop Improvement and Regulation Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei Collaborative Innovation Center of Vegetable Industry in Hebei Department of Horticulture Hebei Agricultural University Baoding China.
  • So C; Department of Biochemistry University of Wisconsin Madison WI USA.
  • Stoveken B; Department of Biochemistry University of Wisconsin Madison WI USA.
  • Woody T; Department of Biochemistry University of Wisconsin Madison WI USA.
  • Zhao J; Department of Biochemistry University of Wisconsin Madison WI USA.
  • Shen S; Department of Biochemistry University of Wisconsin Madison WI USA.
  • Amasino RM; State Key Laboratory of North China Crop Improvement and Regulation Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei Collaborative Innovation Center of Vegetable Industry in Hebei Department of Horticulture Hebei Agricultural University Baoding China.
  • McClung CR; State Key Laboratory of North China Crop Improvement and Regulation Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei Collaborative Innovation Center of Vegetable Industry in Hebei Department of Horticulture Hebei Agricultural University Baoding China.
Plant Direct ; 4(12): e00285, 2020 Dec.
Article in En | MEDLINE | ID: mdl-33364543
ABSTRACT
The globally important crop Brassica rapa, a close relative of Arabidopsis, is an excellent system for modeling our current knowledge of plant growth on a morphologically diverse crop. The long history of B. rapa domestication across Asia and Europe provides a unique collection of locally adapted varieties that span large climatic regions with various abiotic and biotic stress-tolerance traits. This diverse gene pool provides a rich source of targets with the potential for manipulation toward the enhancement of productivity of crops both within and outside the Brassicaceae. To expand the genetic resources available to study natural variation in B. rapa, we constructed an Advanced Intercross Recombinant Inbred Line (AI-RIL) population using B. rapa subsp. trilocularis (Yellow Sarson) R500 and the B. rapa subsp. parachinensis (Cai Xin) variety L58. Our current understanding of genomic structure variation across crops suggests that a single reference genome is insufficient for capturing the genetic diversity within a species. To complement this AI-RIL population and current and future B. rapa genomic resources, we generated a de novo genome assembly of the B. rapa subsp. trilocularis (Yellow Sarson) variety R500, the maternal parent of the AI-RIL population. The genetic map for the R500 x L58 population generated using this de novo genome was used to map Quantitative Trait Loci (QTL) for seed coat color and revealed the improved mapping resolution afforded by this new assembly.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Plant Direct Year: 2020 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Plant Direct Year: 2020 Document type: Article