Literature DB >> 24659306

Association mapping for five agronomic traits in the common bean (Phaseolus vulgaris L.).

Seda Nemli1, Tansel Kaygisiz Asciogul, Hilal Betul Kaya, Abdullah Kahraman, Dursun Eşiyok, Bahattin Tanyolac.   

Abstract

BACKGROUND: The common bean is the most important grain legume and a major source of protein in many developing countries. We analysed the following traits: pod fibre (PF), seeds per pod (SPP), plant type (PT), growth habit (GH), and days to flowering (DF) for a set of diverse common bean accessions and determined whether such traits were associated with amplified fragment length polymorphism (AFLP), simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers.
RESULTS: In this study, 66 common bean genotypes were used and genotyped with 233 AFLP, 105 SNP and 80 SSR markers. The association analysis between markers and five traits was performed using a General Linear Model (GLM) in Trait Analysis by aSSociation, Evolution and Linkage (TASSEL). The population structure was determined using the STRUCTURE software, and seven groups (K = 7) were identified among genotypes. The associations for such traits were identified and quantified; 62 markers were associated with the five traits.
CONCLUSION: This study demonstrated that association mapping using a reasonable number of markers, distributed across the genome and with the appropriate number of individuals harboured to detect DNA markers linked to the traits of PF, SPP, PT, GH and DF in common bean.
© 2014 Society of Chemical Industry.

Entities:  

Keywords:  association mapping; common bean; days to flowering; growth habit; plant type; pod fibre

Mesh:

Substances:

Year:  2014        PMID: 24659306     DOI: 10.1002/jsfa.6664

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  6 in total

1.  Marker association study of yield attributing traits in common bean (Phaseolus vulgaris L.).

Authors:  Nancy Gupta; Sajad Majeed Zargar; Ravinder Singh; Muslima Nazir; Reetika Mahajan; R K Salgotra
Journal:  Mol Biol Rep       Date:  2020-08-27       Impact factor: 2.316

2.  Linkage disequilibrium based association mapping of micronutrients in common bean (Phaseolus vulgaris L.): a collection of Jammu & Kashmir, India.

Authors:  Reetika Mahajan; Sajad Majeed Zargar; R K Salgotra; Ravinder Singh; Aijaz Ahmad Wani; Muslima Nazir; Parvaze A Sofi
Journal:  3 Biotech       Date:  2017-08-30       Impact factor: 2.406

3.  Genetic mapping of yield traits using RIL population derived from Fuchuan Dahuasheng and ICG6375 of peanut (Arachis hypogaea L.).

Authors:  Yuning Chen; Xiaoping Ren; Yanli Zheng; Xiaojing Zhou; Li Huang; Liying Yan; Yongqing Jiao; Weigang Chen; Shunmou Huang; Liyun Wan; Yong Lei; Boshou Liao; Dongxin Huai; Wenhui Wei; Huifang Jiang
Journal:  Mol Breed       Date:  2017-01-30       Impact factor: 2.589

4.  Genome-wide association and genomic prediction identifies soybean cyst nematode resistance in common bean including a syntenic region to soybean Rhg1 locus.

Authors:  Liwei Wen; Hao-Xun Chang; Patrick J Brown; Leslie L Domier; Glen L Hartman
Journal:  Hortic Res       Date:  2019-01-01       Impact factor: 6.793

5.  Identification of QTLs/ Candidate Genes for Seed Mineral Contents in Common Bean (Phaseolus vulgaris L.) Through Genotyping-by-Sequencing.

Authors:  Muslima Nazir; Reetika Mahajan; Sheikh Mansoor; Sheezan Rasool; Rakeeb Ahmad Mir; Ravinder Singh; Vandana Thakral; Virender Kumar; Parvaze A Sofi; Hamed A El-Serehy; Daniel Ingo Hefft; Sajad Majeed Zargar
Journal:  Front Genet       Date:  2022-03-14       Impact factor: 4.599

6.  Genome-Wide Association Studies of Anthracnose and Angular Leaf Spot Resistance in Common Bean (Phaseolus vulgaris L.).

Authors:  Juliana Morini Küpper Cardoso Perseguini; Paula Rodrigues Oblessuc; João Ricardo Bachega Feijó Rosa; Kleber Alves Gomes; Alisson Fernando Chiorato; Sérgio Augusto Morais Carbonell; Antonio Augusto Franco Garcia; Rosana Pereira Vianello; Luciana Lasry Benchimol-Reis
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

  6 in total

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