Literature DB >> 35298758

Omics: a tool for resilient rice genetic improvement strategies.

Muhammad Naeem1, Zeeshan Ali2, Anzal Khan2, Hassan Javed Chaudhary3, Javeria Ashraf2, Faheem Shahzad Baloch4.   

Abstract

Rice is pivotal pyramid of about half of the world population. Bearing small genome size and worldwide utmost food crop rice has been known as ideal cereal crop for genome research. Currently, decreasing water table and soil fatigue are big challenges and intense consequences in changing climate. Whole sequenced genome of rice sized 389 Mb of which 95% is covered with excellent mapping order. Sequenced rice genome helps in molecular biology and transcriptomics of cereals as it provides whole genome sequence of indica and japonica sub species. Through rice genome sequencing and functional genomics, QTLs or genes, genetic variability and halophyte blocks for agronomic characters were identified which have proved much more useful in molecular breeding and direct selection. There are different numbers of genes or QTLs identified for yield related traits i.e., 6 QTLs/genes for plant architecture, 6 for panicle characteristics, 4 for grain number, 1 gene/QTL for tiller, HGW, grain filling and shattering. QTLS/genes for grain quality, biotic stresses and for abiotic stresses are 7, 23 and 13 respectively. Low yield, inferior quality and susceptibility to biotic and abiotic stresses of a crop is due to narrow genetic background of new evolving rice verities. Wild rice provides genetic resources for improvement of these characters, molecular and genomics tool at different stages can overcome these stresses and improve yield and quality of rice crop.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Abiotic stress; Drought stress; Genomics; Metabolomics; Proteomics

Mesh:

Year:  2022        PMID: 35298758     DOI: 10.1007/s11033-022-07189-4

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.742


  90 in total

1.  Breeding by design.

Authors:  Johan D Peleman; Jeroen Rouppe van der Voort
Journal:  Trends Plant Sci       Date:  2003-07       Impact factor: 18.313

2.  Genome-wide association studies of 14 agronomic traits in rice landraces.

Authors:  Xuehui Huang; Xinghua Wei; Tao Sang; Qiang Zhao; Qi Feng; Yan Zhao; Canyang Li; Chuanrang Zhu; Tingting Lu; Zhiwu Zhang; Meng Li; Danlin Fan; Yunli Guo; Ahong Wang; Lu Wang; Liuwei Deng; Wenjun Li; Yiqi Lu; Qijun Weng; Kunyan Liu; Tao Huang; Taoying Zhou; Yufeng Jing; Wei Li; Zhang Lin; Edward S Buckler; Qian Qian; Qi-Fa Zhang; Jiayang Li; Bin Han
Journal:  Nat Genet       Date:  2010-10-24       Impact factor: 38.330

Review 3.  Analytical and Decision Support Tools for Genomics-Assisted Breeding.

Authors:  Rajeev K Varshney; Vikas K Singh; John M Hickey; Xu Xun; David F Marshall; Jun Wang; David Edwards; Jean-Marcel Ribaut
Journal:  Trends Plant Sci       Date:  2015-12-02       Impact factor: 18.313

4.  Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean.

Authors:  Zhengkui Zhou; Yu Jiang; Zheng Wang; Zhiheng Gou; Jun Lyu; Weiyu Li; Yanjun Yu; Liping Shu; Yingjun Zhao; Yanming Ma; Chao Fang; Yanting Shen; Tengfei Liu; Congcong Li; Qing Li; Mian Wu; Min Wang; Yunshuai Wu; Yang Dong; Wenting Wan; Xiao Wang; Zhaoli Ding; Yuedong Gao; Hui Xiang; Baoge Zhu; Suk-Ha Lee; Wen Wang; Zhixi Tian
Journal:  Nat Biotechnol       Date:  2015-02-02       Impact factor: 54.908

5.  Rice by the numbers: A good grain.

Authors:  Emily Elert
Journal:  Nature       Date:  2014-10-30       Impact factor: 49.962

Review 6.  Plant genome sequencing - applications for crop improvement.

Authors:  Marie E Bolger; Bernd Weisshaar; Uwe Scholz; Nils Stein; Björn Usadel; Klaus F X Mayer
Journal:  Curr Opin Biotechnol       Date:  2013-09-21       Impact factor: 9.740

7.  Rice yields in tropical/subtropical Asia exhibit large but opposing sensitivities to minimum and maximum temperatures.

Authors:  Jarrod R Welch; Jeffrey R Vincent; Maximilian Auffhammer; Piedad F Moya; Achim Dobermann; David Dawe
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-09       Impact factor: 11.205

8.  Asian wild rice is a hybrid swarm with extensive gene flow and feralization from domesticated rice.

Authors:  Hongru Wang; Filipe G Vieira; Jacob E Crawford; Chengcai Chu; Rasmus Nielsen
Journal:  Genome Res       Date:  2017-04-06       Impact factor: 9.043

9.  Genome-Wide Association Studies of Photosynthetic Traits Related to Phosphorus Efficiency in Soybean.

Authors:  Haiyan Lü; Yuming Yang; Haiwang Li; Qijia Liu; Jianjun Zhang; Junyi Yin; Shanshan Chu; Xiangqian Zhang; Kaiye Yu; Lingling Lv; Xi Chen; Dan Zhang
Journal:  Front Plant Sci       Date:  2018-08-28       Impact factor: 5.753

10.  Genome-wide association studies of seven agronomic traits under two sowing conditions in bread wheat.

Authors:  Muhammad Jamil; Aamir Ali; Alvina Gul; Abdul Ghafoor; Abdul Aziz Napar; Amir M H Ibrahim; Naima Huma Naveed; Nasim Ahmad Yasin; Abdul Mujeeb-Kazi
Journal:  BMC Plant Biol       Date:  2019-04-17       Impact factor: 4.215

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.