Literature DB >> 28868222

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

Reetika Mahajan1, Sajad Majeed Zargar2, R K Salgotra1, Ravinder Singh1, Aijaz Ahmad Wani3, Muslima Nazir2, Parvaze A Sofi4.   

Abstract

Micronutrient deficiencies are of major concern in human health and plant metabolism. Iron (Fe), zinc (Zn), iodine (I), selenium (Se) are regarded as micronutrients having major impact on human health. More than 50% of populations mainly from developing countries are suffering from one or the other micronutrient malnutrition. Ensuring adequate supply of these micronutrients through diet consisting of staple foods, such as common bean (Phaseolus vulgaris L.) is must. Here, we evaluated common bean genotypes that were collected from various regions of Jammu and Kashmir, India for Fe, Zn and protein contents and used SSRs to identify the markers associated with these traits. We found significant variation among genotypes for Fe, Zn and protein contents. Genotype R2 was having 7.22 mg 100 g-1 of Fe content, genotype K15 with 1.93 mg 100 g-1 of Zn content and genotype KS6 with 31.6% of protein content. Diversity study was done using both cluster and structure based approach. Further, association mapping analysis using General Linear Method (GLM) approach was done to identify SSRs associated with accumulation of Fe, Zn and protein. 13 SSRs were identified that significantly (p < 0.05) showed association with Fe, Zn and protein contents in common bean. The markers associated with Fe were located on chromosome no. 2, 5, 6, 7, 9 and 10, markers associated with Zn were located on chromosome no. 1, 3, 5, 7 and 10 whereas only one marker located on chromosome no. 4 was found associated with protein content. These findings will provide potential opportunity to improve Fe and Zn concentrations in common bean, through molecular breeding.

Entities:  

Keywords:  Association mapping; Common bean (Phaseolus vulgaris L.); Fe; Population structure; Protein; Zn

Year:  2017        PMID: 28868222      PMCID: PMC5577372          DOI: 10.1007/s13205-017-0928-x

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


  42 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Dwarf8 polymorphisms associate with variation in flowering time.

Authors:  J M Thornsberry; M M Goodman; J Doebley; S Kresovich; D Nielsen; E S Buckler
Journal:  Nat Genet       Date:  2001-07       Impact factor: 38.330

Review 3.  The complex interplay among factors that influence allelic association.

Authors:  Krina T Zondervan; Lon R Cardon
Journal:  Nat Rev Genet       Date:  2004-02       Impact factor: 53.242

Review 4.  Structure of linkage disequilibrium in plants.

Authors:  Sherry A Flint-Garcia; Jeffry M Thornsberry; Edward S Buckler
Journal:  Annu Rev Plant Biol       Date:  2003       Impact factor: 26.379

5.  PowerMarker: an integrated analysis environment for genetic marker analysis.

Authors:  Kejun Liu; Spencer V Muse
Journal:  Bioinformatics       Date:  2005-02-10       Impact factor: 6.937

6.  Protein measurement with the Folin phenol reagent.

Authors:  O H LOWRY; N J ROSEBROUGH; A L FARR; R J RANDALL
Journal:  J Biol Chem       Date:  1951-11       Impact factor: 5.157

7.  Genetic selection for enhanced bioavailable levels of iron in bean (Phaseolus vulgaris L.) seeds.

Authors:  R M Welch; W A House; S Beebe; Z Cheng
Journal:  J Agric Food Chem       Date:  2000-08       Impact factor: 5.279

8.  Integration of simple sequence repeat (SSR) markers into a molecular linkage map of common bean (Phaseolus vulgaris L.).

Authors:  K Yu; S J Park; V Poysa; P Gepts
Journal:  J Hered       Date:  2000 Nov-Dec       Impact factor: 2.645

Review 9.  Breeding for micronutrients in staple food crops from a human nutrition perspective.

Authors:  Ross M Welch; Robin D Graham
Journal:  J Exp Bot       Date:  2004-02       Impact factor: 6.992

10.  Dissection of maize kernel composition and starch production by candidate gene association.

Authors:  Larissa M Wilson; Sherry R Whitt; Ana M Ibáñez; Torbert R Rocheford; Major M Goodman; Edward S Buckler
Journal:  Plant Cell       Date:  2004-09-17       Impact factor: 11.277

View more
  3 in total

Review 1.  Potato biofortification: an effective way to fight global hidden hunger.

Authors:  Baljeet Singh; Umesh Goutam; Sarvjeet Kukreja; Jagdev Sharma; Salej Sood; Vinay Bhardwaj
Journal:  Physiol Mol Biol Plants       Date:  2021-10-07

2.  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 3.  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
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.