Literature DB >> 34117907

Development and application of the Faba_bean_130K targeted next-generation sequencing SNP genotyping platform based on transcriptome sequencing.

Chenyu Wang1, Rong Liu1, Yujiao Liu2, Wanwei Hou3, Xuejun Wang4, Yamei Miao4, Yuhua He5, Yu Ma6, Guan Li1, Dong Wang1, Yishan Ji1, Hongyan Zhang3, Mengwei Li1, Xin Yan1, Xuxiao Zong7, Tao Yang8.   

Abstract

KEY MESSAGE: Large-scale faba bean transcriptome data are available, and the first genotyping platform based on liquid-phase probe targeted capture technology was developed for genetic and molecular breeding studies. Faba bean (Vicia faba L., 2n = 12) is an important food legume crop that is widely grown for multiple uses worldwide. However, no reference genome is currently available due to its very large genome size (approximately 13 Gb) and limited single nucleotide polymorphism (SNP) markers as well as highly efficient genotyping tools have been reported for faba bean. In this study, 16.7 billion clean reads were obtained from transcriptome libraries of flowers and leaves of 102 global faba bean accessions. A total of 243,120 unigenes were de novo assembled and functionally annotated. Moreover, a total of 1,579,411 SNPs were identified and further filtered according to a selection pipeline to develop a high-throughput, flexible, low-cost Faba_bean_130K targeted next-generation sequencing (TNGS) genotyping platform. A set of 69 Chinese faba bean accessions were genotyped with the TNGS genotyping platform, and the average mapping rate of captured reads to reference transcripts was 93.14%, of which 53.23% were located in the targeted regions. The TNGS genotyping results were validated by Sanger sequencing and the average consistency rate reached 93.6%. Comprehensive population genetic analysis was performed on the 69 Chinese faba bean accessions and identified four genetic subgroups correlated with the geographic distribution. This study provides valuable genomic resources and a reliable genotyping tool that could be implemented in genetic and molecular breeding studies to accelerate new cultivar development and improvement in faba bean.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Year:  2021        PMID: 34117907     DOI: 10.1007/s00122-021-03885-0

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


  57 in total

1.  A high-density SNP genotyping array for rice biology and molecular breeding.

Authors:  Haodong Chen; Weibo Xie; Hang He; Huihui Yu; Wei Chen; Jing Li; Renbo Yu; Yue Yao; Wenhui Zhang; Yuqing He; Xiaoyan Tang; Fasong Zhou; Xing Wang Deng; Qifa Zhang
Journal:  Mol Plant       Date:  2013-10-11       Impact factor: 13.164

2.  Fast and sensitive protein alignment using DIAMOND.

Authors:  Benjamin Buchfink; Chao Xie; Daniel H Huson
Journal:  Nat Methods       Date:  2014-11-17       Impact factor: 28.547

3.  High-density single nucleotide polymorphism (SNP) array mapping in Brassica oleracea: identification of QTL associated with carotenoid variation in broccoli florets.

Authors:  Allan F Brown; Gad G Yousef; Kranthi K Chebrolu; Robert W Byrd; Koyt W Everhart; Aswathy Thomas; Robert W Reid; Isobel A P Parkin; Andrew G Sharpe; Rebekah Oliver; Ivette Guzman; Eric W Jackson
Journal:  Theor Appl Genet       Date:  2014-08-14       Impact factor: 5.699

4.  Production of growth factors by malignant lymphoma cell lines.

Authors:  M Tweeddale; N Jamal; A Nguyen; X H Wang; M D Minden; H A Messner
Journal:  Blood       Date:  1989-08-01       Impact factor: 22.113

5.  Enhancing faba bean (Vicia faba L.) genome resources.

Authors:  James W Cooper; Michael H Wilson; Martijn F L Derks; Sandra Smit; Karl J Kunert; Christopher Cullis; Christine H Foyer
Journal:  J Exp Bot       Date:  2017-04-01       Impact factor: 6.992

6.  Development of new genetic resources for faba bean (Vicia faba L.) breeding through the discovery of gene-based SNP markers and the construction of a high-density consensus map.

Authors:  E Carrillo-Perdomo; A Vidal; J Kreplak; H Duborjal; M Leveugle; J Duarte; C Desmetz; C Deulvot; B Raffiot; P Marget; N Tayeh; J P Pichon; M Falque; O C Martin; J Burstin; G Aubert
Journal:  Sci Rep       Date:  2020-04-22       Impact factor: 4.379

7.  Rapid SNP discovery and genetic mapping using sequenced RAD markers.

Authors:  Nathan A Baird; Paul D Etter; Tressa S Atwood; Mark C Currey; Anthony L Shiver; Zachary A Lewis; Eric U Selker; William A Cresko; Eric A Johnson
Journal:  PLoS One       Date:  2008-10-13       Impact factor: 3.240

8.  SNP discovery via 454 transcriptome sequencing.

Authors:  W Brad Barbazuk; Scott J Emrich; Hsin D Chen; Li Li; Patrick S Schnable
Journal:  Plant J       Date:  2007-07-27       Impact factor: 6.417

9.  Estimating variability in grain legume yields across Europe and the Americas.

Authors:  Charles Cernay; Tamara Ben-Ari; Elise Pelzer; Jean-Marc Meynard; David Makowski
Journal:  Sci Rep       Date:  2015-06-08       Impact factor: 4.379

Review 10.  A survey of best practices for RNA-seq data analysis.

Authors:  Ana Conesa; Pedro Madrigal; Sonia Tarazona; David Gomez-Cabrero; Alejandra Cervera; Andrew McPherson; Michał Wojciech Szcześniak; Daniel J Gaffney; Laura L Elo; Xuegong Zhang; Ali Mortazavi
Journal:  Genome Biol       Date:  2016-01-26       Impact factor: 13.583

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  4 in total

Review 1.  Advances in disease and pest resistance in faba bean.

Authors:  Diego Rubiales; Hamid Khazaei
Journal:  Theor Appl Genet       Date:  2022-02-19       Impact factor: 5.699

2.  RNA-Seq Analysis of Developing Grains of Wheat to Intrigue Into the Complex Molecular Mechanism of the Heat Stress Response.

Authors:  Surinder Paul; Joginder Singh Duhan; Sarika Jaiswal; Ulavappa B Angadi; Ruchika Sharma; Nishu Raghav; Om Prakash Gupta; Sonia Sheoran; Pradeep Sharma; Rajender Singh; Anil Rai; Gyanendra Pratap Singh; Dinesh Kumar; Mir Asif Iquebal; Ratan Tiwari
Journal:  Front Plant Sci       Date:  2022-06-02       Impact factor: 6.627

3.  Development and Application of a Target Capture Sequencing SNP-Genotyping Platform in Rice.

Authors:  Chaewon Lee; Kyeong-Seong Cheon; Yunji Shin; Hyoja Oh; Young-Min Jeong; Hoon Jang; Yong-Chan Park; Kyung-Yun Kim; Hang-Chul Cho; Yong-Jae Won; Jeongho Baek; Young-Soon Cha; Song-Lim Kim; Kyung-Hwan Kim; Hyeonso Ji
Journal:  Genes (Basel)       Date:  2022-04-28       Impact factor: 4.141

4.  Unraveling the complexity of faba bean (Vicia faba L.) transcriptome to reveal cold-stress-responsive genes using long-read isoform sequencing technology.

Authors:  Jae Il Lyu; Rahul Ramekar; Jung Min Kim; Nguyen Ngoc Hung; Ji Su Seo; Jin-Baek Kim; Ik-Young Choi; Kyong-Cheul Park; Soon-Jae Kwon
Journal:  Sci Rep       Date:  2021-10-26       Impact factor: 4.379

  4 in total

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