Literature DB >> 34926111

Mapping novel QTLs for yield related traits from a popular rice hybrid KRH-2 derived doubled haploid (DH) population.

Swapnil Ravindra Kulkarni1, S M Balachandran1, R M Sundaram1, K Ulaganathan2, Divya Balakrishnan1, A S Hari Prasad1, G Rekha1, M B V N Kousik1, S K Hajira1, Ravindra Ramarao Kale1, D Aleena1, M Anila1, E Punniakoti1, T Dilip1, K Pranathi1, M Ayyappa Das1, Mastanbee Shaik1, K Chaitra1, Pragya Sinha1.   

Abstract

A doubled haploid (DH) population consisting of 125 DHLs derived from the popular rice hybrid, KRH-2 (IR58025A/KMR3R) was utilized for Quantitative Trait Loci (QTL) mapping to identify novel genomic regions associated with yield related traits. A genetic map was constructed with 126 polymorphic SSR and EST derived markers, which were distributed across rice genome. QTL analysis using inclusive composite interval mapping (ICIM) method identified a total of 24 major and minor effect QTLs. Among them, twelve major effect QTLs were identified for days to fifty percent flowering (qDFF12-1), total grain yield/plant (qYLD3-1 and qYLD6-1), test (1,000) grain weight (qTGW6-1 and qTGW7-1), panicle weight (qPW9-1), plant height (qPH12-1), flag leaf length (qFLL6-1), flag leaf width (qFLW4-1), panicle length (qPL3-1 and qPL6-1) and biomass (qBM4-1), explaining 29.95-56.75% of the phenotypic variability with LOD scores range of 2.72-16.51. Chromosomal regions with gene clusters were identified on chromosome 3 for total grain yield/plant (qYLD3-1) and panicle length (qPL3-1) and on chromosome 6 for total grain yield/plant (qYLD6-1), flag leaf length (qFLL6-1) and panicle length (qPL6-1). Majority of the QTLs identified were observed to be co-localized with the previously reported QTL regions. Five novel, major effect QTLs associated with panicle weight (qPW9-1), plant height (qPH12-1), flag leaf width (qFLW4-1), panicle length (qPL3-1) and biomass (qBM4-1) and three novel minor effect QTLs for panicle weight (qPW3-1 and qPW8-1) and fertile grains per panicle (qFGP5-1) were identified. These QTLs can be used in breeding programs aimed to yield improvement after their validation in alternative populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-03045-7. © King Abdulaziz City for Science and Technology 2021.

Entities:  

Keywords:  Chromosomal regions with gene clusters; Doubled haploid lines (DHLs); Inclusive composite interval mapping (ICIM); SSR markers

Year:  2021        PMID: 34926111      PMCID: PMC8630253          DOI: 10.1007/s13205-021-03045-7

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


  52 in total

1.  Control of tillering in rice.

Authors:  Xueyong Li; Qian Qian; Zhiming Fu; Yonghong Wang; Guosheng Xiong; Dali Zeng; Xiaoqun Wang; Xinfang Liu; Sheng Teng; Fujimoto Hiroshi; Ming Yuan; Da Luo; Bin Han; Jiayang Li
Journal:  Nature       Date:  2003-04-10       Impact factor: 49.962

2.  Suppression of tiller bud activity in tillering dwarf mutants of rice.

Authors:  Shinji Ishikawa; Masahiko Maekawa; Tomotsugu Arite; Kazumitsu Onishi; Itsuro Takamure; Junko Kyozuka
Journal:  Plant Cell Physiol       Date:  2005-01-19       Impact factor: 4.927

3.  Genetic architecture of cold tolerance in rice (Oryza sativa) determined through high resolution genome-wide analysis.

Authors:  Ehsan Shakiba; Jeremy D Edwards; Farman Jodari; Sara E Duke; Angela M Baldo; Pavel Korniliev; Susan R McCouch; Georgia C Eizenga
Journal:  PLoS One       Date:  2017-03-10       Impact factor: 3.240

4.  Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson.

Authors:  M J Thomson; T H Tai; A M McClung; X-H Lai; M E Hinga; K B Lobos; Y Xu; C P Martinez; S R McCouch
Journal:  Theor Appl Genet       Date:  2003-05-08       Impact factor: 5.699

Review 5.  Genetic bases of rice grain shape: so many genes, so little known.

Authors:  Rongyu Huang; Liangrong Jiang; Jingsheng Zheng; Tiansheng Wang; Houcong Wang; Yumin Huang; Zonglie Hong
Journal:  Trends Plant Sci       Date:  2012-12-04       Impact factor: 18.313

Review 6.  Productivity improvements in rice.

Authors:  Gurdv Khush
Journal:  Nutr Rev       Date:  2003-06       Impact factor: 7.110

7.  QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.).

Authors:  Balram Marathi; Smriti Guleria; Trilochan Mohapatra; Rajender Parsad; Nagarajan Mariappan; Vinod Kunnummal Kurungara; Salwandir Singh Atwal; Kumble Vinod Prabhu; Nagendra Kumar Singh; Ashok Kumar Singh
Journal:  BMC Plant Biol       Date:  2012-08-09       Impact factor: 4.215

8.  Identification of quantitative trait loci for rice grain quality and yield-related traits in two closely related Oryza sativa L. subsp. japonica cultivars grown near the northernmost limit for rice paddy cultivation.

Authors:  Noriko Kinoshita; Masayuki Kato; Kei Koyasaki; Takuya Kawashima; Tsutomu Nishimura; Yuji Hirayama; Itsuro Takamure; Takashi Sato; Kiyoaki Kato
Journal:  Breed Sci       Date:  2017-05-10       Impact factor: 2.086

9.  A novel rice grain size gene OsSNB was identified by genome-wide association study in natural population.

Authors:  Xiaosong Ma; Fangjun Feng; Yu Zhang; Ibrahim Eid Elesawi; Kai Xu; Tianfei Li; Hanwei Mei; Hongyan Liu; Ningning Gao; Chunli Chen; Lijun Luo; Shunwu Yu
Journal:  PLoS Genet       Date:  2019-05-31       Impact factor: 5.917

10.  Rice molecular breeding laboratories in the genomics era: Current status and future considerations.

Authors:  Bert C Y Collard; Casiana M Vera Cruz; Kenneth L McNally; Parminder S Virk; David J Mackill
Journal:  Int J Plant Genomics       Date:  2008
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.