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179 related items for PubMed ID: 32699267

  • 1. Transcriptomic and network analyses reveal distinct nitrate responses in light and dark in rice leaves (Oryza sativa Indica var. Panvel1).
    Pathak RR, Jangam AP, Malik A, Sharma N, Jaiswal DK, Raghuram N.
    Sci Rep; 2020 Jul 22; 10(1):12228. PubMed ID: 32699267
    [Abstract] [Full Text] [Related]

  • 2. Nitrate deficiency decreased photosynthesis and oxidation-reduction processes, but increased cellular transport, lignin biosynthesis and flavonoid metabolism revealed by RNA-Seq in Oryza sativa leaves.
    Shao CH, Qiu CF, Qian YF, Liu GR.
    PLoS One; 2020 Jul 22; 15(7):e0235975. PubMed ID: 32649704
    [Abstract] [Full Text] [Related]

  • 3. Metabolic and co-expression network-based analyses associated with nitrate response in rice.
    Coneva V, Simopoulos C, Casaretto JA, El-Kereamy A, Guevara DR, Cohn J, Zhu T, Guo L, Alexander DC, Bi YM, McNicholas PD, Rothstein SJ.
    BMC Genomics; 2014 Dec 03; 15(1):1056. PubMed ID: 25471115
    [Abstract] [Full Text] [Related]

  • 4. Comparative Transcriptomic Analyses of Nitrate-Response in Rice Genotypes With Contrasting Nitrogen Use Efficiency Reveals Common and Genotype-Specific Processes, Molecular Targets and Nitrogen Use Efficiency-Candidates.
    Sharma N, Kumari S, Jaiswal DK, Raghuram N.
    Front Plant Sci; 2022 Dec 03; 13():881204. PubMed ID: 35774823
    [Abstract] [Full Text] [Related]

  • 5. Integrative Transcriptomic and Proteomic Analysis Reveals an Alternative Molecular Network of Glutamine Synthetase 2 Corresponding to Nitrogen Deficiency in Rice (Oryza sativa L.).
    Liang T, Yuan Z, Fu L, Zhu M, Luo X, Xu W, Yuan H, Zhu R, Hu Z, Wu X.
    Int J Mol Sci; 2021 Jul 18; 22(14):. PubMed ID: 34299294
    [Abstract] [Full Text] [Related]

  • 6. Nitrate-responsive transcriptome analysis of rice RGA1 mutant reveals the role of G-protein alpha subunit in negative regulation of nitrogen-sensitivity and use efficiency.
    Prasanna JA, Mandal VK, Kumar D, Chakraborty N, Raghuram N.
    Plant Cell Rep; 2023 Dec 18; 42(12):1987-2010. PubMed ID: 37874341
    [Abstract] [Full Text] [Related]

  • 7. Nitrate-responsive transcriptome analysis reveals additional genes/processes and associated traits viz. height, tillering, heading date, stomatal density and yield in japonica rice.
    Mandal VK, Jangam AP, Chakraborty N, Raghuram N.
    Planta; 2022 Jan 17; 255(2):42. PubMed ID: 35038039
    [Abstract] [Full Text] [Related]

  • 8. Heterotrimeric G-protein α subunit (RGA1) regulates tiller development, yield, cell wall, nitrogen response and biotic stress in rice.
    Pathak RR, Mandal VK, Jangam AP, Sharma N, Madan B, Jaiswal DK, Raghuram N.
    Sci Rep; 2021 Jan 27; 11(1):2323. PubMed ID: 33504880
    [Abstract] [Full Text] [Related]

  • 9. Transcriptome phase distribution analysis reveals diurnal regulated biological processes and key pathways in rice flag leaves and seedling leaves.
    Xu W, Yang R, Li M, Xing Z, Yang W, Chen G, Guo H, Gong X, Du Z, Zhang Z, Hu X, Wang D, Qian Q, Wang T, Su Z, Xue Y.
    PLoS One; 2011 Mar 02; 6(3):e17613. PubMed ID: 21407816
    [Abstract] [Full Text] [Related]

  • 10. Understanding the early cold response mechanism in IR64 indica rice variety through comparative transcriptome analysis.
    Dasgupta P, Das A, Datta S, Banerjee I, Tripathy S, Chaudhuri S.
    BMC Genomics; 2020 Jun 24; 21(1):425. PubMed ID: 32580699
    [Abstract] [Full Text] [Related]

  • 11. Transcriptomic Analysis of Rice Plants Overexpressing PsGAPDH in Response to Salinity Stress.
    Lim H, Hwang H, Kim T, Kim S, Chung H, Lee D, Kim S, Park S, Cho W, Ji H, Lee G.
    Genes (Basel); 2021 Apr 25; 12(5):. PubMed ID: 33923067
    [Abstract] [Full Text] [Related]

  • 12. Comparative Transcriptome Analysis in Oilseed Rape (Brassica napus) Reveals Distinct Gene Expression Details between Nitrate and Ammonium Nutrition.
    Tang W, He X, Qian L, Wang F, Zhang Z, Sun C, Lin L, Guan C.
    Genes (Basel); 2019 May 22; 10(5):. PubMed ID: 31121949
    [Abstract] [Full Text] [Related]

  • 13. Key Maize Drought-Responsive Genes and Pathways Revealed by Comparative Transcriptome and Physiological Analyses of Contrasting Inbred Lines.
    Zenda T, Liu S, Wang X, Liu G, Jin H, Dong A, Yang Y, Duan H.
    Int J Mol Sci; 2019 Mar 13; 20(6):. PubMed ID: 30871211
    [Abstract] [Full Text] [Related]

  • 14. Integrated RNA-Seq Analysis and Meta-QTLs Mapping Provide Insights into Cold Stress Response in Rice Seedling Roots.
    Kong W, Zhang C, Qiang Y, Zhong H, Zhao G, Li Y.
    Int J Mol Sci; 2020 Jun 29; 21(13):. PubMed ID: 32610550
    [Abstract] [Full Text] [Related]

  • 15. Comparative RNA-Seq Analysis Reveals That Regulatory Network of Maize Root Development Controls the Expression of Genes in Response to N Stress.
    He X, Ma H, Zhao X, Nie S, Li Y, Zhang Z, Shen Y, Chen Q, Lu Y, Lan H, Zhou S, Gao S, Pan G, Lin H.
    PLoS One; 2016 Jun 29; 11(3):e0151697. PubMed ID: 26990640
    [Abstract] [Full Text] [Related]

  • 16. Computational and Transcriptomic Analysis Unraveled OsMATE34 as a Putative Anthocyanin Transporter in Black Rice (Oryza sativa L.) Caryopsis.
    Mackon E, Ma Y, Jeazet Dongho Epse Mackon GC, Usman B, Zhao Y, Li Q, Liu P.
    Genes (Basel); 2021 Apr 16; 12(4):. PubMed ID: 33923742
    [Abstract] [Full Text] [Related]

  • 17. The flexible interrelation between AOX respiratory pathway and photosynthesis in rice leaves.
    Feng H, Li H, Li X, Duan J, Liang H, Zhi D, Ma J.
    Plant Physiol Biochem; 2007 Apr 16; 45(3-4):228-35. PubMed ID: 17408956
    [Abstract] [Full Text] [Related]

  • 18. Comparative analysis of Cd-responsive maize and rice transcriptomes highlights Cd co-modulated orthologs.
    Cheng D, Tan M, Yu H, Li L, Zhu D, Chen Y, Jiang M.
    BMC Genomics; 2018 Sep 26; 19(1):709. PubMed ID: 30257650
    [Abstract] [Full Text] [Related]

  • 19. Physiological and Transcriptome Analyses of Early Leaf Senescence for ospls1 Mutant Rice (Oryza sativa L.) during the Grain-Filling Stage.
    Li Z, Pan X, Guo X, Fan K, Lin W.
    Int J Mol Sci; 2019 Mar 04; 20(5):. PubMed ID: 30836615
    [Abstract] [Full Text] [Related]

  • 20. Identification of four functionally important microRNA families with contrasting differential expression profiles between drought-tolerant and susceptible rice leaf at vegetative stage.
    Cheah BH, Nadarajah K, Divate MD, Wickneswari R.
    BMC Genomics; 2015 Sep 15; 16(1):692. PubMed ID: 26369665
    [Abstract] [Full Text] [Related]

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