Literature DB >> 32852680

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

Nancy Gupta1, Sajad Majeed Zargar2, Ravinder Singh1, Muslima Nazir3, Reetika Mahajan3, R K Salgotra1.   

Abstract

Common bean is gaining acceptance as one of the most valuable major food consumed worldwide owing to innumerable nutritional and therapeutic benefits. Comparatively less productivity in underdeveloped countries encouraged us to proceed for QTL mining of yield traits in common bean. Heretofore, multiple yield associated markers have been detected all over the world; even so, the present work is looked on as the first report on identification of novel/new potent markers by exploiting the germplasm of Northern India. A panel of one hundred and thirty five genotypes was used for morphological studies and based on preliminary molecular evaluation; a set of ninety six diverse common bean genotypes (core set) was selected for association analysis. Molecular data generated by a total of ninety eight microsatellite markers (53 genomic and 45 genic SSRs) revealed high estimation of polymorphism among the genotypes that were observed to be divided into two major sub-populations and varying levels of admixtures based on population structure analyses. By employing both MLM and GLM analysis approaches, we identified 46 and 16 significant marker-trait associations (p ≤ 0.005) respectively, few of which have already been reported and hence validate our results. PVBR213 marker was found to be strongly associated with days to bud initiation trait when analyzed with both the approaches. Phenotypic variation of identified significant markers ranged from 3.1% to 32.7% where PVBR87, PVBR213, X96999 and X57022 explain more than 30% of phenotypic variation for 100 seed weight, days to bud initiation, pods per plant and pod length traits respectively. These findings introduce highly informative markers to aid marker-assisted selection program in common bean for high yield performance along with good agronomic merit.

Entities:  

Keywords:  Association mapping; Common bean; SSR markers; Yield

Mesh:

Year:  2020        PMID: 32852680     DOI: 10.1007/s11033-020-05735-6

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  34 in total

1.  Structure and level of genetic diversity in various bean types evidenced with microsatellite markers isolated from a genomic enriched library.

Authors:  I. Métais; B. Hamon; R. Jalouzot; D. Peltier
Journal:  Theor Appl Genet       Date:  2002-05-08       Impact factor: 5.699

2.  Sequence diversity analysis of dihydroflavonol 4-reductase intron 1 in common bean.

Authors:  Phillip E McClean; Rian K Lee; Phillip N Miklas
Journal:  Genome       Date:  2004-04       Impact factor: 2.166

3.  Race structure within the Mesoamerican gene pool of common bean (Phaseolus vulgaris L.) as determined by microsatellite markers.

Authors:  L M Díaz; M W Blair
Journal:  Theor Appl Genet       Date:  2006-10-18       Impact factor: 5.699

4.  Genetic diversity of Chinese common bean (Phaseolus vulgaris L.) landraces assessed with simple sequence repeat markers.

Authors:  Xiaoyan Zhang; Matthew W Blair; Shumin Wang
Journal:  Theor Appl Genet       Date:  2008-06-12       Impact factor: 5.699

5.  Genetic diversity and population structure of common bean (Phaseolus vulgaris L.) landraces from the East African highlands.

Authors:  Asrat Asfaw; Matthew W Blair; Conny Almekinders
Journal:  Theor Appl Genet       Date:  2009-09-16       Impact factor: 5.699

6.  Novel polyphenol molecule isolated from licorice root (Glycrrhiza glabra) induces apoptosis, G2/M cell cycle arrest, and Bcl-2 phosphorylation in tumor cell lines.

Authors:  Mohamed M Rafi; Bret C Vastano; Nanquan Zhu; Chi-Tang Ho; Geetha Ghai; Robert T Rosen; Michael A Gallo; Robert S DiPaola
Journal:  J Agric Food Chem       Date:  2002-02-13       Impact factor: 5.279

7.  Genetic diversity, inter-gene pool introgression and nutritional quality of common beans (Phaseolus vulgaris L.) from Central Africa.

Authors:  Matthew W Blair; Laura F González; Paul M Kimani; Louis Butare
Journal:  Theor Appl Genet       Date:  2010-03-12       Impact factor: 5.699

8.  Microsatellite diversity and genetic structure among common bean (Phaseolus vulgaris L.) landraces in Brazil, a secondary center of diversity.

Authors:  Marília Lobo Burle; Jaime Roberto Fonseca; James A Kami; Paul Gepts
Journal:  Theor Appl Genet       Date:  2010-05-26       Impact factor: 5.699

9.  A reference genome for common bean and genome-wide analysis of dual domestications.

Authors:  Jeremy Schmutz; Phillip E McClean; Sujan Mamidi; G Albert Wu; Steven B Cannon; Jane Grimwood; Jerry Jenkins; Shengqiang Shu; Qijian Song; Carolina Chavarro; Mirayda Torres-Torres; Valerie Geffroy; Samira Mafi Moghaddam; Dongying Gao; Brian Abernathy; Kerrie Barry; Matthew Blair; Mark A Brick; Mansi Chovatia; Paul Gepts; David M Goodstein; Michael Gonzales; Uffe Hellsten; David L Hyten; Gaofeng Jia; James D Kelly; Dave Kudrna; Rian Lee; Manon M S Richard; Phillip N Miklas; Juan M Osorno; Josiane Rodrigues; Vincent Thareau; Carlos A Urrea; Mei Wang; Yeisoo Yu; Ming Zhang; Rod A Wing; Perry B Cregan; Daniel S Rokhsar; Scott A Jackson
Journal:  Nat Genet       Date:  2014-06-08       Impact factor: 38.330

Review 10.  Proteomics and Metabolomics: Two Emerging Areas for Legume Improvement.

Authors:  Abirami Ramalingam; Himabindu Kudapa; Lekha T Pazhamala; Wolfram Weckwerth; Rajeev K Varshney
Journal:  Front Plant Sci       Date:  2015-12-24       Impact factor: 5.753

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  2 in total

1.  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

Review 2.  Genetic Augmentation of Legume Crops Using Genomic Resources and Genotyping Platforms for Nutritional Food Security.

Authors:  Romesh K Salgotra; Charles Neal Stewart
Journal:  Plants (Basel)       Date:  2022-07-18
  2 in total

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