Literature DB >> 28724064

Genetic Characterization of the Soybean Nested Association Mapping Population.

Qijian Song, Long Yan, Charles Quigley, Brandon D Jordan, Edward Fickus, Steve Schroeder, Bao-Hua Song, Yong-Qiang Charles An, David Hyten, Randall Nelson, Katy Rainey, William D Beavis, Jim Specht, Brian Diers, Perry Cregan.   

Abstract

A set of nested association mapping (NAM) families was developed by crossing 40 diverse soybean [ (L.) Merr.] genotypes to the common cultivar. The 41 parents were deeply sequenced for SNP discovery. Based on the polymorphism of the single-nucleotide polymorphisms (SNPs) and other selection criteria, a set of SNPs was selected to be included in the SoyNAM6K BeadChip for genotyping the parents and 5600 RILs from the 40 families. Analysis of the SNP profiles of the RILs showed a low average recombination rate. We constructed genetic linkage maps for each family and a composite linkage map based on recombinant inbred lines (RILs) across the families and identified and annotated 525,772 high confidence SNPs that were used to impute the SNP alleles in the RILs. The segregation distortion in most families significantly favored the alleles from the female parent, and there was no significant difference of residual heterozygosity in the euchromatic vs. heterochromatic regions. The genotypic datasets for the RILs and parents are publicly available and are anticipated to be useful to map quantitative trait loci (QTL) controlling important traits in soybean.
Copyright © 2017 Crop Science Society of America.

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Year:  2017        PMID: 28724064     DOI: 10.3835/plantgenome2016.10.0109

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  29 in total

Review 1.  Ten Years of the Maize Nested Association Mapping Population: Impact, Limitations, and Future Directions.

Authors:  Joseph L Gage; Brandon Monier; Anju Giri; Edward S Buckler
Journal:  Plant Cell       Date:  2020-05-12       Impact factor: 11.277

2.  High-throughput characterization, correlation, and mapping of leaf photosynthetic and functional traits in the soybean (Glycine max) nested association mapping population.

Authors:  Christopher M Montes; Carolyn Fox; Álvaro Sanz-Sáez; Shawn P Serbin; Etsushi Kumagai; Matheus D Krause; Alencar Xavier; James E Specht; William D Beavis; Carl J Bernacchi; Brian W Diers; Elizabeth A Ainsworth
Journal:  Genetics       Date:  2022-05-31       Impact factor: 4.402

3.  QTL mapping in outbred tetraploid (and diploid) diallel populations.

Authors:  Rodrigo R Amadeu; Patricio R Muñoz; Chaozhi Zheng; Jeffrey B Endelman
Journal:  Genetics       Date:  2021-11-05       Impact factor: 4.402

4.  An atypical N-ethylmaleimide sensitive factor enables the viability of nematode-resistant Rhg1 soybeans.

Authors:  Adam M Bayless; Ryan W Zapotocny; Derrick J Grunwald; Kaela K Amundson; Brian W Diers; Andrew F Bent
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-25       Impact factor: 11.205

5.  Photosynthesis in the fleeting shadows: an overlooked opportunity for increasing crop productivity?

Authors:  Yu Wang; Steven J Burgess; Elsa M de Becker; Stephen P Long
Journal:  Plant J       Date:  2020-02-24       Impact factor: 6.417

6.  G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers.

Authors:  Shuai Zeng; Ziting Mao; Yijie Ren; Duolin Wang; Dong Xu; Trupti Joshi
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

7.  Predicted genetic gains from introgressing chromosome segments from exotic germplasm into an elite soybean cultivar.

Authors:  Sushan Ru; Rex Bernardo
Journal:  Theor Appl Genet       Date:  2019-11-28       Impact factor: 5.699

8.  Molecular-assisted breeding for improved carbohydrate profiles in soybean seed.

Authors:  Katherine B Hagely; Hyun Jo; Jeong-Hwa Kim; Karen A Hudson; Kristin Bilyeu
Journal:  Theor Appl Genet       Date:  2020-01-20       Impact factor: 5.699

9.  Development of an Aus-Derived Nested Association Mapping (Aus-NAM) Population in Rice.

Authors:  Justine K Kitony; Hidehiko Sunohara; Mikako Tasaki; Jun-Ichi Mori; Akihisa Shimazu; Vincent P Reyes; Hideshi Yasui; Yoshiyuki Yamagata; Atsushi Yoshimura; Masanori Yamasaki; Shunsaku Nishiuchi; Kazuyuki Doi
Journal:  Plants (Basel)       Date:  2021-06-21

10.  Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications.

Authors:  Luis G Riera; Matthew E Carroll; Zhisheng Zhang; Johnathon M Shook; Sambuddha Ghosal; Tianshuang Gao; Arti Singh; Sourabh Bhattacharya; Baskar Ganapathysubramanian; Asheesh K Singh; Soumik Sarkar
Journal:  Plant Phenomics       Date:  2021-06-23
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