Literature DB >> 33505835

Down regulation of transcripts involved in selective metabolic pathways as an acclimation strategy in nitrogen use efficient genotypes of rice under low nitrogen.

C N Neeraja1, Kalyani M Barbadikar1, T Krishnakanth1, Sonali Bej1, I Subhakara Rao1, B Srikanth1, D Sanjeeva Rao1, D Subrahmanyam1, P Raghuveer Rao1, S R Voleti1.   

Abstract

To understand the molecular mechanism of nitrogen use efficiency (NUE) in rice, two nitrogen (N) use efficient genotypes and two non-efficient genotypes were characterized using transcriptome analyses. The four genotypes were evaluated for 3 years under low and recommended N field conditions for 12 traits/parameters of yield, straw, nitrogen content along with NUE indices and 2 promising donors for rice NUE were identified. Using the transcriptome data generated from GS FLX 454 Roche and Illumina HiSeq 2000 of two efficient and two non-efficient genotypes grown under field conditions of low N and recommended N and their de novo assembly, differentially expressed transcripts and pathways during the panicle development were identified. Down regulation was observed in 30% of metabolic pathways in efficient genotypes and is being proposed as an acclimation strategy to low N. Ten sub metabolic pathways significantly enriched with additional transcripts either in the direction of the common expression or contra-regulated to the common expression were found to be critical for NUE in rice. Among the up-regulated transcripts in efficient genotypes, a hypothetical protein OsI_17904 with 2 alternative forms suggested the role of alternative splicing in NUE of rice and a potassium channel SKOR transcript (LOC_Os06g14030) has shown a positive correlation (0.62) with single plant yield under low N in a set of 16 rice genotypes. From the present study, we propose that the efficient genotypes appear to down regulate several not so critical metabolic pathways and divert the thus conserved energy to produce seed/yield under long-term N starvation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-020-02631-5. © King Abdulaziz City for Science and Technology 2021.

Entities:  

Keywords:  Differential gene expression; Landraces; Metabolic pathways; Nitrogen use efficiency; SKOR transporter; Transcriptomics

Year:  2021        PMID: 33505835      PMCID: PMC7811496          DOI: 10.1007/s13205-020-02631-5

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


  37 in total

Review 1.  Alternative splicing at the intersection of biological timing, development, and stress responses.

Authors:  Dorothee Staiger; John W S Brown
Journal:  Plant Cell       Date:  2013-10-31       Impact factor: 11.277

2.  Global transcriptome profile of rice root in response to essential macronutrient deficiency.

Authors:  Hinako Takehisa; Yutaka Sato; Baltazar A Antonio; Yoshiaki Nagamura
Journal:  Plant Signal Behav       Date:  2013-04-19

Review 3.  Source and sink mechanisms of nitrogen transport and use.

Authors:  Mechthild Tegeder; Céline Masclaux-Daubresse
Journal:  New Phytol       Date:  2017-11-09       Impact factor: 10.151

4.  Transcriptome analysis of nitrogen-efficient rice over-expressing alanine aminotransferase.

Authors:  Perrin H Beatty; Ashok K Shrawat; Rebecka T Carroll; Tong Zhu; Allen G Good
Journal:  Plant Biotechnol J       Date:  2009-06-08       Impact factor: 9.803

5.  Plant response to nitrate starvation is determined by N storage capacity matched by nitrate uptake capacity in two Arabidopsis genotypes.

Authors:  Céline Richard-Molard; Anne Krapp; François Brun; Bertrand Ney; Françoise Daniel-Vedele; Sylvain Chaillou
Journal:  J Exp Bot       Date:  2008-02-27       Impact factor: 6.992

Review 6.  Plant nitrogen assimilation and use efficiency.

Authors:  Guohua Xu; Xiaorong Fan; Anthony J Miller
Journal:  Annu Rev Plant Biol       Date:  2012-01-03       Impact factor: 26.379

7.  Transcriptome sequencing reveals the roles of transcription factors in modulating genotype by nitrogen interaction in maize.

Authors:  Qiuyue Chen; Zhipeng Liu; Baobao Wang; Xufeng Wang; Jinsheng Lai; Feng Tian
Journal:  Plant Cell Rep       Date:  2015-06-27       Impact factor: 4.570

8.  Identification of differentially expressed genes between sorghum genotypes with contrasting nitrogen stress tolerance by genome-wide transcriptional profiling.

Authors:  Malleswari Gelli; Yongchao Duo; Anji Reddy Konda; Chi Zhang; David Holding; Ismail Dweikat
Journal:  BMC Genomics       Date:  2014-03-05       Impact factor: 3.969

9.  Identification of rice landraces with promising yield and the associated genomic regions under low nitrogen.

Authors:  I Subhakara Rao; C N Neeraja; B Srikanth; D Subrahmanyam; K N Swamy; K Rajesh; P Vijayalakshmi; T Vishnu Kiran; N Sailaja; P Revathi; P Raghuveer Rao; L V Subba Rao; K Surekha; V Ravindra Babu; S R Voleti
Journal:  Sci Rep       Date:  2018-06-15       Impact factor: 4.379

10.  Transcriptomic analyses of rice (Oryza sativa) genes and non-coding RNAs under nitrogen starvation using multiple omics technologies.

Authors:  Sang-Yoon Shin; Jin Seo Jeong; Jae Yun Lim; Taewook Kim; June Hyun Park; Ju-Kon Kim; Chanseok Shin
Journal:  BMC Genomics       Date:  2018-07-13       Impact factor: 3.969

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