Literature DB >> 34089405

Integration of Dual Stress Transcriptomes and Major QTLs from a Pair of Genotypes Contrasting for Drought and Chronic Nitrogen Starvation Identifies Key Stress Responsive Genes in Rice.

Amitha Mithra Sevanthi1, Subodh Kumar Sinha1, Sureshkumar V1, Manju Rani1, Manish Ranjan Saini1, Sapna Kumari1, Megha Kaushik1, Chandra Prakash1, Venkatesh K2, G P Singh2, Trilochan Mohapatra1,3, Pranab Kumar Mandal4.   

Abstract

We report here the genome-wide changes resulting from low N (N-W+), low water (N+W-)) and dual stresses (N-W-) in root and shoot tissues of two rice genotypes, namely, IR 64 (IR64) and Nagina 22 (N22), and their association with the QTLs for nitrogen use efficiency. For all the root parameters, except for root length under N-W+, N22 performed better than IR64. Chlorophyll a, b and carotenoid content were higher in IR64 under N+W+ treatment and N-W+ and N+W- stresses; however, under dual stress, N22 had higher chlorophyll b content. While nitrite reductase, glutamate synthase (GS) and citrate synthase assays showed better specific activity in IR64, glutamate dehydrogenase showed better specific activity in N22 under dual stress (N-W-); the other N and C assimilating enzymes showed similar but low specific activities in both the genotypes. A total of 8926 differentially expressed genes (DEGs) were identified compared to optimal (N+W+) condition from across all treatments. While 1174, 698 and 903 DEGs in IR64 roots and 1197, 187 and 781 in N22 roots were identified, nearly double the number of DEGs were found in the shoot tissues; 3357, 1006 and 4005 in IR64 and 4004, 990 and 2143 in N22, under N-W+, N+W- and N-W- treatments, respectively. IR64 and N22 showed differential expression in 15 and 11 N-transporter genes respectively, under one or more stress treatments, out of which four showed differential expression also in N+W- condition. The negative regulators of N- stress, e.g., NIGT1, OsACTPK1 and OsBT were downregulated in IR64 while in N22, OsBT was not downregulated. Overall, N22 performed better under dual stress conditions owing to its better root architecture, chlorophyll and porphyrin synthesis and oxidative stress management. We identified 12 QTLs for seed and straw N content using 253 recombinant inbred lines derived from IR64 and N22 and a 5K SNP array. The QTL hotspot region on chromosome 6 comprised of 61 genes, of which, five were DEGs encoding for UDP-glucuronosyltransferase, serine threonine kinase, anthocyanidin 3-O-glucosyltransferase, and nitrate induced proteins. The DEGs, QTLs and candidate genes reported in this study can serve as a major resource for both rice improvement and functional biology.

Entities:  

Keywords:  Drought stress; Nitrogen stress; Nitrogen use efficiency; QTLs under nitrogen stress; RNA-seq; Rice

Year:  2021        PMID: 34089405     DOI: 10.1186/s12284-021-00487-8

Source DB:  PubMed          Journal:  Rice (N Y)        ISSN: 1939-8425            Impact factor:   4.783


  38 in total

1.  R/qtl: QTL mapping in experimental crosses.

Authors:  Karl W Broman; Hao Wu; Saunak Sen; Gary A Churchill
Journal:  Bioinformatics       Date:  2003-05-01       Impact factor: 6.937

2.  Metabolome Analysis of Multi-Connected Biparental Chromosome Segment Substitution Line Populations.

Authors:  Jie Chen; Jilin Wang; Wei Chen; Wenqiang Sun; Meng Peng; Zhiyang Yuan; Shuangqian Shen; Kun Xie; Cheng Jin; Yangyang Sun; Xianqing Liu; Alisdair R Fernie; Sibin Yu; Jie Luo
Journal:  Plant Physiol       Date:  2018-08-23       Impact factor: 8.340

3.  Drought-induced effects on nitrate reductase activity and mRNA and on the coordination of nitrogen and carbon metabolism in maize leaves

Authors: 
Journal:  Plant Physiol       Date:  1998-05       Impact factor: 8.340

4.  Abscisic acid uridine diphosphate glucosyltransferases play a crucial role in abscisic acid homeostasis in Arabidopsis.

Authors:  Ting Dong; Zheng-Yi Xu; Youngmin Park; Dae Heon Kim; Yongjik Lee; Inhwan Hwang
Journal:  Plant Physiol       Date:  2014-03-27       Impact factor: 8.340

5.  Lack of ACTPK1, an STY kinase, enhances ammonium uptake and use, and promotes growth of rice seedlings under sufficient external ammonium.

Authors:  Marcel P Beier; Mitsuhiro Obara; Akiko Taniai; Yuki Sawa; Jin Ishizawa; Haruki Yoshida; Narumi Tomita; Tsuyoshi Yamanaka; Yawara Ishizuka; Syuko Kudo; Akira Yoshinari; Shiho Takeuchi; Soichi Kojima; Tomoyuki Yamaya; Toshihiko Hayakawa
Journal:  Plant J       Date:  2018-02-17       Impact factor: 6.417

Review 6.  The roles of ABA in plant-pathogen interactions.

Authors:  Feng Yi Cao; Keiko Yoshioka; Darrell Desveaux
Journal:  J Plant Res       Date:  2011-03-05       Impact factor: 2.629

7.  Regulatory network construction in Arabidopsis by using genome-wide gene expression quantitative trait loci.

Authors:  Joost J B Keurentjes; Jingyuan Fu; Inez R Terpstra; Juan M Garcia; Guido van den Ackerveken; L Basten Snoek; Anton J M Peeters; Dick Vreugdenhil; Maarten Koornneef; Ritsert C Jansen
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-19       Impact factor: 11.205

8.  Transcriptome response to nitrogen starvation in rice.

Authors:  Hongmei Cai; Yongen Lu; Weibo Xie; Tong Zhu; Xingming Lian
Journal:  J Biosci       Date:  2012-09       Impact factor: 1.826

9.  The Root Foraging Response under Low Nitrogen Depends on DWARF1-Mediated Brassinosteroid Biosynthesis.

Authors:  Zhongtao Jia; Ricardo F H Giehl; Nicolaus von Wirén
Journal:  Plant Physiol       Date:  2020-05-12       Impact factor: 8.340

10.  Opposite fates of the purine metabolite allantoin under water and nitrogen limitations in bread wheat.

Authors:  Alberto Casartelli; Vanessa J Melino; Ute Baumann; Matteo Riboni; Radoslaw Suchecki; Nirupama S Jayasinghe; Himasha Mendis; Mutsumi Watanabe; Alexander Erban; Ellen Zuther; Rainer Hoefgen; Ute Roessner; Mamoru Okamoto; Sigrid Heuer
Journal:  Plant Mol Biol       Date:  2019-02-05       Impact factor: 4.076

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  4 in total

1.  Identification of major candidate genes for multiple abiotic stress tolerance at seedling stage by network analysis and their validation by expression profiling in rice (Oryza sativa L.).

Authors:  M K Ramkumar; Ekta Mulani; Vasudha Jadon; V Sureshkumar; S Gopala Krishnan; S Senthil Kumar; M Raveendran; A K Singh; Amolkumar U Solanke; N K Singh; Amitha Mithra Sevanthi
Journal:  3 Biotech       Date:  2022-05-12       Impact factor: 2.893

2.  Genome-Wide Identification and Characterization of GARP Transcription Factor Gene Family Members Reveal Their Diverse Functions in Tea Plant (Camellia sinensis).

Authors:  Chuan Yue; Qianqian Chen; Juan Hu; Congcong Li; Liyong Luo; Liang Zeng
Journal:  Front Plant Sci       Date:  2022-06-30       Impact factor: 6.627

3.  A genome wide transcriptional study of Populus alba x P. tremula var. glandulosa in response to nitrogen deficiency stress.

Authors:  Caixia Liu; Song Chen; Sui Wang; Xiyang Zhao; Kailong Li; Su Chen; Guan-Zheng Qu
Journal:  Physiol Mol Biol Plants       Date:  2021-05-31

4.  Genome-Wide Expression Analysis of Root Tips in Contrasting Rice Genotypes Revealed Novel Candidate Genes for Water Stress Adaptation.

Authors:  Somayeh Abdirad; Mohammad Reza Ghaffari; Ahmad Majd; Saeed Irian; Armin Soleymaniniya; Parisa Daryani; Parisa Koobaz; Zahra-Sadat Shobbar; Laleh Karimi Farsad; Parisa Yazdanpanah; Amirhossein Sadri; Mehdi Mirzaei; Zahra Ghorbanzadeh; Mehrbano Kazemi; Naghmeh Hadidi; Paul A Haynes; Ghasem Hosseini Salekdeh
Journal:  Front Plant Sci       Date:  2022-02-21       Impact factor: 5.753

  4 in total

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