Literature DB >> 33492369

Whole-genome sequence diversity and association analysis of 198 soybean accessions in mini-core collections.

Hiromi Kajiya-Kanegae1, Hideki Nagasaki2, Akito Kaga3, Ko Hirano4, Eri Ogiso-Tanaka3, Makoto Matsuoka4, Motoyuki Ishimori1, Masao Ishimoto3, Masatsugu Hashiguchi5, Hidenori Tanaka5, Ryo Akashi5, Sachiko Isobe2, Hiroyoshi Iwata1.   

Abstract

We performed whole-genome Illumina resequencing of 198 accessions to examine the genetic diversity and facilitate the use of soybean genetic resources and identified 10 million single nucleotide polymorphisms and 2.8 million small indels. Furthermore, PacBio resequencing of 10 accessions was performed, and a total of 2,033 structure variants were identified. Genetic diversity and structure analysis congregated the 198 accessions into three subgroups (Primitive, World, and Japan) and showed the possibility of a long and relatively isolated history of cultivated soybean in Japan. Additionally, the skewed regional distribution of variants in the genome, such as higher structural variations on the R gene clusters in the Japan group, suggested the possibility of selective sweeps during domestication or breeding. A genome-wide association study identified both known and novel causal variants on the genes controlling the flowering period. Novel candidate causal variants were also found on genes related to the seed coat colour by aligning together with Illumina and PacBio reads. The genomic sequences and variants obtained in this study have immense potential to provide information for soybean breeding and genetic studies that may uncover novel alleles or genes involved in agronomically important traits.
© The Author(s) 2021. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.

Entities:  

Keywords:  zzm321990 Glycine maxzzm321990 ; genome diversity; next-generation sequencing; soybean

Mesh:

Year:  2021        PMID: 33492369      PMCID: PMC7934572          DOI: 10.1093/dnares/dsaa032

Source DB:  PubMed          Journal:  DNA Res        ISSN: 1340-2838            Impact factor:   4.458


  71 in total

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Authors:  Jason D Gillman; Ashley Tetlow; Jeong-Deong Lee; J Grover Shannon; Kristin Bilyeu
Journal:  BMC Plant Biol       Date:  2011-11-09       Impact factor: 4.215

2.  ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R.

Authors:  Emmanuel Paradis; Klaus Schliep
Journal:  Bioinformatics       Date:  2019-02-01       Impact factor: 6.937

3.  A Domestication-Associated Gene GmPRR3b Regulates the Circadian Clock and Flowering Time in Soybean.

Authors:  Cong Li; Ying-Hui Li; Yanfei Li; Hongfeng Lu; Huilong Hong; Yu Tian; Hongyu Li; Tao Zhao; Xiaowei Zhou; Jun Liu; Xinan Zhou; Scott A Jackson; Bin Liu; Li-Juan Qiu
Journal:  Mol Plant       Date:  2020-02-01       Impact factor: 13.164

4.  Characterization of Two Growth Period QTLs Reveals Modification of PRR3 Genes During Soybean Domestication.

Authors:  Man-Wah Li; Wei Liu; Hon-Ming Lam; Joshua M Gendron
Journal:  Plant Cell Physiol       Date:  2019-02-01       Impact factor: 4.927

5.  Bayesian optimization for genomic selection: a method for discovering the best genotype among a large number of candidates.

Authors:  Ryokei Tanaka; Hiroyoshi Iwata
Journal:  Theor Appl Genet       Date:  2017-10-06       Impact factor: 5.699

6.  Highly multiplexed AmpliSeq technology identifies novel variation of flowering time-related genes in soybean (Glycine max).

Authors:  Eri Ogiso-Tanaka; Takehiko Shimizu; Makita Hajika; Akito Kaga; Masao Ishimoto
Journal:  DNA Res       Date:  2019-06-01       Impact factor: 4.458

7.  CNV-seq, a new method to detect copy number variation using high-throughput sequencing.

Authors:  Chao Xie; Martti T Tammi
Journal:  BMC Bioinformatics       Date:  2009-03-06       Impact factor: 3.169

8.  Molecular and geographic evolutionary support for the essential role of GIGANTEAa in soybean domestication of flowering time.

Authors:  Yan Wang; Yongzhe Gu; Huihui Gao; Lijuan Qiu; Ruzhen Chang; Shouyi Chen; Chaoying He
Journal:  BMC Evol Biol       Date:  2016-04-12       Impact factor: 3.260

9.  A soybean quantitative trait locus that promotes flowering under long days is identified as FT5a, a FLOWERING LOCUS T ortholog.

Authors:  Ryoma Takeshima; Takafumi Hayashi; Jianghui Zhu; Chen Zhao; Meilan Xu; Naoya Yamaguchi; Takashi Sayama; Masao Ishimoto; Lingping Kong; Xinyi Shi; Baohui Liu; Zhixi Tian; Tetsuya Yamada; Fanjiang Kong; Jun Abe
Journal:  J Exp Bot       Date:  2016-07-15       Impact factor: 6.992

10.  Dissection of soybean populations according to selection signatures based on whole-genome sequences.

Authors:  Jae-Yoon Kim; Seongmun Jeong; Kyoung Hyoun Kim; Won-Jun Lim; Ho-Yeon Lee; Namhee Jeong; Jung-Kyung Moon; Namshin Kim
Journal:  Gigascience       Date:  2019-12-01       Impact factor: 6.524

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  7 in total

1.  Analysis of Physiological Variations and Genetic Architecture for Photosynthetic Capacity of Japanese Soybean Germplasm.

Authors:  Mohammad Jan Shamim; Akito Kaga; Yu Tanaka; Hiroshi Yamatani; Tatsuhiko Shiraiwa
Journal:  Front Plant Sci       Date:  2022-06-29       Impact factor: 6.627

Review 2.  Genetic and Genomic Resources for Soybean Breeding Research.

Authors:  Jakob Petereit; Jacob I Marsh; Philipp E Bayer; Monica F Danilevicz; William J W Thomas; Jacqueline Batley; David Edwards
Journal:  Plants (Basel)       Date:  2022-04-27

3.  MIG-seq is an effective method for high-throughput genotyping in wheat (Triticum spp.).

Authors:  Kazusa Nishimura; Ko Motoki; Akira Yamazaki; Rihito Takisawa; Yasuo Yasui; Takashi Kawai; Koichiro Ushijima; Ryohei Nakano; Tetsuya Nakazaki
Journal:  DNA Res       Date:  2022-02-27       Impact factor: 4.477

4.  The First Genetic Linkage Map of Winged Bean [Psophocarpus tetragonolobus (L.) DC.] and QTL Mapping for Flower-, Pod-, and Seed-Related Traits.

Authors:  Sompong Chankaew; Sasiprapa Sriwichai; Teppratan Rakvong; Tidarat Monkham; Jirawat Sanitchon; Sithichoke Tangphatsornruang; Wasitthee Kongkachana; Chutima Sonthirod; Wirulda Pootakham; Kitiya Amkul; Anochar Kaewwongwal; Kularb Laosatit; Prakit Somta
Journal:  Plants (Basel)       Date:  2022-02-12

5.  Genomic Prediction of Green Fraction Dynamics in Soybean Using Unmanned Aerial Vehicles Observations.

Authors:  Yusuke Toda; Goshi Sasaki; Yoshihiro Ohmori; Yuji Yamasaki; Hirokazu Takahashi; Hideki Takanashi; Mai Tsuda; Hiromi Kajiya-Kanegae; Raul Lopez-Lozano; Hisashi Tsujimoto; Akito Kaga; Mikio Nakazono; Toru Fujiwara; Frederic Baret; Hiroyoshi Iwata
Journal:  Front Plant Sci       Date:  2022-03-16       Impact factor: 5.753

6.  Construction of prediction models for growth traits of soybean cultivars based on phenotyping in diverse genotype and environment combinations.

Authors:  Andi Madihah Manggabarani; Takuyu Hashiguchi; Masatsugu Hashiguchi; Atsushi Hayashi; Masataka Kikuchi; Yusdar Mustamin; Masaru Bamba; Kunihiro Kodama; Takanari Tanabata; Sachiko Isobe; Hidenori Tanaka; Ryo Akashi; Akihiro Nakaya; Shusei Sato
Journal:  DNA Res       Date:  2022-06-25       Impact factor: 4.477

Review 7.  Progress in soybean functional genomics over the past decade.

Authors:  Min Zhang; Shulin Liu; Zhao Wang; Yaqin Yuan; Zhifang Zhang; Qianjin Liang; Xia Yang; Zongbiao Duan; Yucheng Liu; Fanjiang Kong; Baohui Liu; Bo Ren; Zhixi Tian
Journal:  Plant Biotechnol J       Date:  2021-08-25       Impact factor: 9.803

  7 in total

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