Literature DB >> 33692429

de novo transcriptomic profiling of differentially expressed genes in grass halophyte Urochondra setulosa under high salinity.

Anita Mann1, Naresh Kumar2, Ashwani Kumar2, Charu Lata2, Arvind Kumar2, Babu Lal Meena2, Dwijesh Mishra3, Monendra Grover3, Sonam Gaba3, C Parameswaran4, Nitin Mantri5.   

Abstract

Soil salinity is one of the major limiting factors for crop productivity across the world. Halophytes have recently been a source of attraction for exploring the survival and tolerance mechanisms at extreme saline conditions. Urochondra setulosa is one of the obligate grass halophyte that can survive in up to 1000 mM NaCl. The de novo transcriptome of Urochondra leaves at different salt concentrations of 300-500 mM NaCl was generated on Illumina HiSeq. Approximately 352.78 million high quality reads with an average contig length of 1259 bp were assembled de novo. A total of 120,231 unigenes were identified. On an average, 65% unigenes were functionally annotated to known proteins. Approximately 35% unigenes were specific to Urochondra. Differential expression revealed significant enrichment (P < 0.05) of transcription factors, transporters and metabolites suggesting the transcriptional regulation of ion homeostasis and signalling at high salt concentrations in this grass. Also, about 143 unigenes were biologically related to salt stress responsive genes. Randomly selected genes of important pathways were validated for functional characterization. This study provides useful information to understand the gene regulation at extremely saline levels. The study offers the first comprehensive evaluation of Urochondra setulosa leaf transcriptome. Examining non-model organisms that can survive in harsh environment can provide novel insights into the stress coping mechanisms which can be useful to develop improved agricultural crops.

Entities:  

Year:  2021        PMID: 33692429     DOI: 10.1038/s41598-021-85220-7

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  32 in total

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Journal:  Methods       Date:  2001-12       Impact factor: 3.608

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Journal:  Zh Mikrobiol Epidemiol Immunobiol       Date:  1979-10

Review 3.  Mechanisms of salinity tolerance.

Authors:  Rana Munns; Mark Tester
Journal:  Annu Rev Plant Biol       Date:  2008       Impact factor: 26.379

4.  eHALOPH a Database of Salt-Tolerant Plants: Helping put Halophytes to Work.

Authors:  Joaquim Santos; Mohammed Al-Azzawi; James Aronson; Timothy J Flowers
Journal:  Plant Cell Physiol       Date:  2015-10-31       Impact factor: 4.927

5.  Transcriptome sequencing and comparative analysis of differentially-expressed isoforms in the roots of Halogeton glomeratus under salt stress.

Authors:  Lirong Yao; Juncheng Wang; Baochun Li; Yaxiong Meng; Xiaole Ma; Erjing Si; Panrong Ren; Ke Yang; Xunwu Shang; Huajun Wang
Journal:  Gene       Date:  2017-12-29       Impact factor: 3.688

6.  Proteomic analysis of the response to high-salinity stress in Physcomitrella patens.

Authors:  Xiaoqin Wang; Pingfang Yang; Qian Gao; Xianglin Liu; Tingyun Kuang; Shihua Shen; Yikun He
Journal:  Planta       Date:  2008-03-20       Impact factor: 4.116

7.  Identification of salt-induced genes from Salicornia brachiata, an extreme halophyte through expressed sequence tags analysis.

Authors:  Bhavanath Jha; Pradeep K Agarwal; Palakolanu Sudhakar Reddy; Sanjay Lal; Sudhir K Sopory; Malireddy K Reddy
Journal:  Genes Genet Syst       Date:  2009-04       Impact factor: 1.517

8.  Differential expression analysis for sequence count data.

Authors:  Simon Anders; Wolfgang Huber
Journal:  Genome Biol       Date:  2010-10-27       Impact factor: 13.583

9.  Transcriptome sequencing revealed molecular mechanisms underlying tolerance of Suaeda salsa to saline stress.

Authors:  Su-Ming Guo; Ying Tan; Han-Jie Chu; Mei-Xia Sun; Jin-Cheng Xing
Journal:  PLoS One       Date:  2019-07-23       Impact factor: 3.240

10.  CD-HIT: accelerated for clustering the next-generation sequencing data.

Authors:  Limin Fu; Beifang Niu; Zhengwei Zhu; Sitao Wu; Weizhong Li
Journal:  Bioinformatics       Date:  2012-10-11       Impact factor: 6.937

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