Literature DB >> 33974087

Fine-mapping and candidate gene analysis for the foxglove aphid resistance gene Raso2 from wild soybean PI 366121.

Ki-Seung Kim1, Ji-Min Kim2, Jiyeong Jung2, Ilseob Shin2, Sumin Park2,3, Ju Seok Lee4, Soon-Chun Jeong4, Jeong-Dong Lee5, Jin Kyo Jung6, Bo-Keun Ha7, Sungtaeg Kang8.   

Abstract

KEY MESSAGE: The foxglove aphid resistance gene Raso2 from PI 366121 was fine-mapped to 77 Kb region, and one candidate gene was identified. The foxglove aphid (FA: Aulacorthum solani Kaltenbach) is an important insect pest that causes serious yield losses in soybean. The FA resistance gene Raso2 from wild soybean PI 366121 was previously mapped to a 13 cM interval on soybean chromosome 7. However, fine-mapping of Raso2 was needed to improve the effectiveness of marker-assisted selection (MAS) and to eventually clone it. The objectives of this study were to fine-map Raso2 from PI 366121 using Axiom® 180 K SoyaSNP array, to confirm the resistance and inheritance of Raso2 in a different background, and to identify candidate gene(s). The 105 F4:8 recombinant inbred lines were used to fine-map the gene and to test antibiosis and antixenosis of Raso2 to FA. These efforts resulted in the mapping of Raso2 on 1 cM interval which corresponds to 77 Kb containing eight annotated genes based on the Williams 82 reference genome assembly (Wm82.a2.v1). Interestingly, all nonsynonymous substitutions were in Glyma.07g077700 which encodes the disease resistance protein containing LRR domain and expression of the gene in PI 366121 was significantly higher than that in Williams 82. In addition, distinct SNPs within Glyma.07g077700 that can distinguish PI 366121 and diverse FA-susceptible soybeans were identified. We also confirmed that Raso2 presented the resistance to FA and the Mendelian inheritance for single dominant gene in a different background. The results of this study would provide fundamental information on MAS for development of FA-resistant cultivars as well as functional study and cloning of the candidate gene in soybean.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Year:  2021        PMID: 33974087     DOI: 10.1007/s00122-021-03853-8

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  17 in total

1.  Fine mapping of the soybean aphid-resistance gene Rag2 in soybean PI 200538.

Authors:  Ki-Seung Kim; Curtis B Hill; Glen L Hartman; David L Hyten; Matthew E Hudson; Brian W Diers
Journal:  Theor Appl Genet       Date:  2010-05-08       Impact factor: 5.699

2.  Inclusive composite interval mapping (ICIM) for digenic epistasis of quantitative traits in biparental populations.

Authors:  Huihui Li; Jean-Marcel Ribaut; Zhonglai Li; Jiankang Wang
Journal:  Theor Appl Genet       Date:  2007-11-06       Impact factor: 5.699

3.  Detection of novel QTLs for foxglove aphid resistance in soybean.

Authors:  Ju Seok Lee; Min-ho Yoo; Jin Kyo Jung; Kristin D Bilyeu; Jeong-Dong Lee; Sungtaeg Kang
Journal:  Theor Appl Genet       Date:  2015-04-23       Impact factor: 5.699

4.  Development, validation and genetic analysis of a large soybean SNP genotyping array.

Authors:  Yun-Gyeong Lee; Namhee Jeong; Ji Hong Kim; Kwanghee Lee; Kil Hyun Kim; Ali Pirani; Bo-Keun Ha; Sung-Taeg Kang; Beom-Seok Park; Jung-Kyung Moon; Namshin Kim; Soon-Chun Jeong
Journal:  Plant J       Date:  2015-02       Impact factor: 6.417

5.  Aphid resistance in Medicago truncatula involves antixenosis and phloem-specific, inducible antibiosis, and maps to a single locus flanked by NBS-LRR resistance gene analogs.

Authors:  John Klingler; Robert Creasy; Lingling Gao; Ramakrishnan M Nair; Alonso Suazo Calix; Helen Spafford Jacob; Owain R Edwards; Karam B Singh
Journal:  Plant Physiol       Date:  2005-03-18       Impact factor: 8.340

6.  Developmental times and life table statistics of Aulacorthum solani (Hemiptera: Aphididae) at six constant temperatures, with recommendations on the application of temperature-dependent development models.

Authors:  S E Jandricic; S P Wraight; K C Bennett; J P Sanderson
Journal:  Environ Entomol       Date:  2010-10       Impact factor: 2.377

Review 7.  Using genomic information to improve soybean adaptability to climate change.

Authors:  Man-Wah Li; Dawei Xin; Yishu Gao; Kwan-Pok Li; Kejing Fan; Nacira Belen Muñoz; Wai-Shing Yung; Hon-Ming Lam
Journal:  J Exp Bot       Date:  2017-04-01       Impact factor: 6.992

8.  Identification and molecular mapping of two soybean aphid resistance genes in soybean PI 587732.

Authors:  Ki-Seung Kim; Anitha Chirumamilla; Curtis B Hill; Glen L Hartman; Brian W Diers
Journal:  Theor Appl Genet       Date:  2014-04-05       Impact factor: 5.699

9.  Fine mapping the soybean aphid resistance gene Rag1 in soybean.

Authors:  Ki-Seung Kim; Stephanie Bellendir; Karen A Hudson; Curtis B Hill; Glen L Hartman; David L Hyten; Matthew E Hudson; Brian W Diers
Journal:  Theor Appl Genet       Date:  2009-12-25       Impact factor: 5.699

10.  The patterns of deleterious mutations during the domestication of soybean.

Authors:  Myung-Shin Kim; Roberto Lozano; Ji Hong Kim; Dong Nyuk Bae; Sang-Tae Kim; Jung-Ho Park; Man Soo Choi; Jaehyun Kim; Hyun-Choong Ok; Soo-Kwon Park; Michael A Gore; Jung-Kyung Moon; Soon-Chun Jeong
Journal:  Nat Commun       Date:  2021-01-04       Impact factor: 14.919

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  3 in total

1.  Identification of Genomic Regions Associated with Vine Growth and Plant Height of Soybean.

Authors:  Yipeng Lu; Jiaming Zhang; Xiaoyang Guo; Jingjing Chen; Ruzhen Chang; Rongxia Guan; Lijuan Qiu
Journal:  Int J Mol Sci       Date:  2022-05-22       Impact factor: 6.208

2.  Genome-Wide Association Studies Reveal Novel Loci for Herbivore Resistance in Wild Soybean (Glycine soja).

Authors:  Haiping Du; Rui Qin; Haiyang Li; Qing Du; Xiao Li; Hui Yang; Fanjiang Kong; Baohui Liu; Deyue Yu; Hui Wang
Journal:  Int J Mol Sci       Date:  2022-07-20       Impact factor: 6.208

3.  Identification of noble candidate gene associated with sensitivity to phytotoxicity of etofenprox in soybean.

Authors:  Ji-Min Kim; Jungmin Ha; Ilseob Shin; Ju Seok Lee; Jung-Ho Park; Jeong-Dong Lee; Sungteag Kang
Journal:  Sci Rep       Date:  2022-09-02       Impact factor: 4.996

  3 in total

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