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Construction of high resolution genetic linkage maps to improve the soybean genome sequence assembly Glyma1.01

Journal Article · · BMC Genomics
 [1];  [2];  [1];  [3];  [4];  [5];  [6];  [1]
  1. US Dept. of Agriculture (USDA), Beltsville, MD (United States). Agricultural Research Service (ARS). Soybean Genomics and Improvement Lab.
  2. HudsonAlpha Inst. for Biotechnology, Huntsville, AL (United States)
  3. Univ. of Nebraska, Lincoln, NE (United States)
  4. Univ. of Tennessee, Knoxville, TN (United States)
  5. Univ. of Georgia, Athens, GA (United States). Center for Applied Genetic Technologies
  6. HudsonAlpha Inst. for Biotechnology, Huntsville, AL (United States); USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
Background. A landmark in soybean research, Glyma1.01, the first whole genome sequence of variety Williams 82 (Glycine max L. Merr.) was completed in 2010 and is widely used. However, because the assembly was primarily built based on the linkage maps constructed with a limited number of markers and recombinant inbred lines (RILs), the assembled sequence, especially in some genomic regions with sparse numbers of anchoring markers, needs to be improved. Molecular markers are being used by researchers in the soybean community, however, with the updating of the Glyma1.01 build based on the high-resolution linkage maps resulting from this research, the genome positions of these markers need to be mapped. Results. Two high density genetic linkage maps were constructed based on 21,478 single nucleotide polymorphism loci mapped in the Williams 82 x G. soja (Sieb. & Zucc.) PI479752 population with 1083 RILs and 11,922 loci mapped in the Essex x Williams 82 population with 922 RILs. There were 37 regions or single markers where marker order in the two populations was in agreement but was not consistent with the physical position in the Glyma1.01 build. In addition, 28 previously unanchored scaffolds were positioned. Map data were used to identify false joins in the Glyma1.01 assembly and the corresponding scaffolds were broken and reassembled to the new assembly, Wm82.a2.v1. Based upon the plots of the genetic on physical distance of the loci, the euchromatic and heterochromatic regions along each chromosome in the new assembly were delimited. Genomic positions of the commonly used markers contained in BARCSOYSSR_1.0 database and the SoySNP50K BeadChip were updated based upon the Wm82.a2.v1 assembly. Conclusions. The information will facilitate the study of recombination hot spots in the soybean genome, identification of genes or quantitative trait loci controlling yield, seed quality and resistance to biotic or abiotic stresses as well as other genetic or genomic research.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1615261
Journal Information:
BMC Genomics, Journal Name: BMC Genomics Journal Issue: 1 Vol. 17; ISSN 1471-2164
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English

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Additional file 1 of Genetic variation and genetic complexity of nodule occupancy in soybean inoculated with USDA110 and USDA123 rhizobium strains dataset January 2023
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Next-generation sequencing to identify candidate genes and develop diagnostic markers for a novel Phytophthora resistance gene, RpsHC18, in soybean journal November 2017
Genetic dissection of domestication-related traits in soybean through genotyping-by-sequencing of two interspecific mapping populations journal January 2019
Identification and characterization of a fast-neutron-induced mutant with elevated seed protein content in soybean journal July 2019
Genome-wide genetic diversity is maintained through decades of soybean breeding in Canada journal August 2019
Nested association mapping of important agronomic traits in three interspecific soybean populations journal January 2020
Recent genetic research on Japanese soybeans in response to the escalation of food use worldwide journal March 2019
Exploring the performance of genomic prediction models for soybean yield using different validation approaches journal May 2019
Genetic diversity and genomic strategies for improving drought and waterlogging tolerance in soybeans journal December 2016
High-Throughput Screening and Characterization of a High-Density Soybean Mutant Library Elucidate the Biosynthesis Pathway of Triterpenoid Saponins journal February 2019
A high-resolution reference genetic map positioning 8.8 K genes for the conifer white spruce: structural genomics implications and correspondence with physical distance journal March 2017
Construction and comparison of three reference‐quality genome assemblies for soybean journal October 2019
Identification of QTL with large effect on seed weight in a selective population of soybean with genome-wide association and fixation index analyses journal July 2017
Fine Mapping and Identification of a Novel Phytophthora Root Rot Resistance Locus RpsZS18 on Chromosome 2 in Soybean journal January 2018
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