Literature DB >> 31497465

Identification of major consensus QTLs for seed size and minor QTLs for pod traits in cultivated groundnut (Arachis hypogaea L.).

Suvendu Mondal1,2, Anand M Badigannavar1,2.   

Abstract

Hundred kernel weight is an important indicator for large-seeded genotype selection. A recombinant inbred line population was used to decipher the genetic architecture of seed size and three pod traits in cultivated groundnut based on the phenotypic data from six and three environments, respectively. The study revealed a consensus major QTL for HKW in B07 group that explained 10.5-23.9% phenotypic variation due to seed size. Further, two other minor QTLs were identified in B03 and B08 group for the seed size. Two minor QTLs for pod beak were positioned in B03 and A08. A minor QTL for pod reticulation was also mapped in the same map interval with the pod beak QTL in A08. Another minor QTL for pod constriction was co-mapped with the minor QTL for HKW in B08. The other minor QTL for pod constriction was placed in the neighboring map interval with the consensus QTL for seed size in B07 that suggests linkage of pod constriction with large seed trait. Analysis of the flanking markers profile in 71 cultivated groundnut genotypes revealed a strong association of pPGPseq_2E06 marker with large seed trait.

Entities:  

Keywords:  Arachis hypogaea L.; Hundred kernel weight; Pod beak; Pod constriction; Pod reticulation; Quantitative trait loci

Year:  2019        PMID: 31497465      PMCID: PMC6717230          DOI: 10.1007/s13205-019-1881-7

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


  23 in total

Review 1.  Mapping and analysis of quantitative trait loci in experimental populations.

Authors:  Rebecca W Doerge
Journal:  Nat Rev Genet       Date:  2002-01       Impact factor: 53.242

2.  MapChart: software for the graphical presentation of linkage maps and QTLs.

Authors:  R E Voorrips
Journal:  J Hered       Date:  2002 Jan-Feb       Impact factor: 2.645

3.  A modified algorithm for the improvement of composite interval mapping.

Authors:  Huihui Li; Guoyou Ye; Jiankang Wang
Journal:  Genetics       Date:  2006-11-16       Impact factor: 4.562

4.  The Genetical Interpretation of Statistics of the Third Degree in the Study of Quantitative Inheritance.

Authors:  R A Fisher; F R Immer; O Tedin
Journal:  Genetics       Date:  1932-03       Impact factor: 4.562

5.  Diversity characterization and association analysis of agronomic traits in a Chinese peanut (Arachis hypogaea L.) mini-core collection.

Authors:  Huifang Jiang; Li Huang; Xiaoping Ren; Yuning Chen; Xiaojing Zhou; Youlin Xia; Jiaquan Huang; Yong Lei; Liying Yan; Liyun Wan; Boshou Liao
Journal:  J Integr Plant Biol       Date:  2014-01-23       Impact factor: 7.061

6.  Use of single-primer DNA amplifications in genetic studies of peanut (Arachis hypogaea L.).

Authors:  T Halward; T Stalker; E LaRue; G Kochert
Journal:  Plant Mol Biol       Date:  1992-01       Impact factor: 4.076

7.  Microsatellite identification and characterization in peanut ( A. hypogaea L.).

Authors:  M E Ferguson; M D Burow; S R Schulze; P J Bramel; A H Paterson; S Kresovich; S Mitchell
Journal:  Theor Appl Genet       Date:  2003-12-11       Impact factor: 5.699

8.  In silico polymorphism analysis for the development of simple sequence repeat and transposon markers and construction of linkage map in cultivated peanut.

Authors:  Kenta Shirasawa; Padmalatha Koilkonda; Koh Aoki; Hideki Hirakawa; Satoshi Tabata; Manabu Watanabe; Makoto Hasegawa; Hiroyuki Kiyoshima; Shigeru Suzuki; Chikara Kuwata; Yoshiki Naito; Tsutomu Kuboyama; Akihiro Nakaya; Shigemi Sasamoto; Akiko Watanabe; Midori Kato; Kumiko Kawashima; Yoshie Kishida; Mitsuyo Kohara; Atsushi Kurabayashi; Chika Takahashi; Hisano Tsuruoka; Tsuyuko Wada; Sachiko Isobe
Journal:  BMC Plant Biol       Date:  2012-06-06       Impact factor: 4.215

9.  Fostered and left behind alleles in peanut: interspecific QTL mapping reveals footprints of domestication and useful natural variation for breeding.

Authors:  Daniel Fonceka; Hodo-Abalo Tossim; Ronan Rivallan; Hélène Vignes; Issa Faye; Ousmane Ndoye; Márcio C Moretzsohn; David J Bertioli; Jean-Christophe Glaszmann; Brigitte Courtois; Jean-François Rami
Journal:  BMC Plant Biol       Date:  2012-02-17       Impact factor: 4.215

10.  Genomewide association studies for 50 agronomic traits in peanut using the 'reference set' comprising 300 genotypes from 48 countries of the semi-arid tropics of the world.

Authors:  Manish K Pandey; Hari D Upadhyaya; Abhishek Rathore; Vincent Vadez; M S Sheshshayee; Manda Sriswathi; Mansee Govil; Ashish Kumar; M V C Gowda; Shivali Sharma; Falalou Hamidou; V Anil Kumar; Pawan Khera; Ramesh S Bhat; Aamir W Khan; Sube Singh; Hongjie Li; Emmanuel Monyo; H L Nadaf; Ganapati Mukri; Scott A Jackson; Baozhu Guo; Xuanqiang Liang; Rajeev K Varshney
Journal:  PLoS One       Date:  2014-08-20       Impact factor: 3.240

View more
  4 in total

1.  Proteome evaluation of homolog abundance patterns in Arachis hypogaea cv. Tifrunner.

Authors:  Zhenquan Duan; Yongli Zhang; Tian Zhang; Mingwei Chen; Hui Song
Journal:  Plant Methods       Date:  2022-01-13       Impact factor: 4.993

2.  High-Density Genetic Variation Map Reveals Key Candidate Loci and Genes Associated With Important Agronomic Traits in Peanut.

Authors:  Huiling Zhao; Ruizheng Tian; Han Xia; Changsheng Li; Guanghui Li; Aiqin Li; Xianying Zhang; Ximeng Zhou; Jing Ma; Huailing Huang; Kun Zhang; Mahendar Thudi; Changle Ma; Xingjun Wang; Chuanzhi Zhao
Journal:  Front Genet       Date:  2022-03-25       Impact factor: 4.599

3.  Transcriptome Analysis and Gene Expression Profiling of the Peanut Small Seed Mutant Identified Genes Involved in Seed Size Control.

Authors:  Fengdan Guo; Xiujin Zhu; Chuanzhi Zhao; Shuzhen Zhao; Jiaowen Pan; Yanxiu Zhao; Xingjun Wang; Lei Hou
Journal:  Int J Mol Sci       Date:  2022-08-27       Impact factor: 6.208

4.  Comparative transcriptomics analysis of developing peanut (Arachis hypogaea L.) pods reveals candidate genes affecting peanut seed size.

Authors:  Yue Wu; Ziqi Sun; Feiyan Qi; Mengdi Tian; Juan Wang; Ruifang Zhao; Xiao Wang; Xiaohui Wu; Xinlong Shi; Hongfei Liu; Wenzhao Dong; Bingyan Huang; Zheng Zheng; Xinyou Zhang
Journal:  Front Plant Sci       Date:  2022-09-12       Impact factor: 6.627

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.