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Genome-wide identification, characterization, and expression analysis of nucleotide-binding leucine-rich repeats gene family under environmental stresses in tea (Camellia sinensis).

Yuchun Wang | Qinhua Lu | Fei Xiong | Xinyuan Hao | Lu Wang | Mengxia Zheng | Nana Li | Changqing Ding | Xinchao Wang | Yajun Yang
Genomics | 2020

Plants often use nucleotide-binding leucine-rich repeats (NLRs) to recognize specific virulence proteins and activate the hypersensitive response thereby defending against invaders. However, data on NLRs and the resistance mechanism of NLR protein mediation in tea plant are extremely limited. In this study, 400 and 303 CsNLRs were identified from the genomes of C. sinensis var. sinensis (CSS) and C. sinensis var. assamica (CSA), respectively. Phylogenetic analysis revealed that the numbers in CNL groups are predominant in both CSS and CSA. RNA-Seq revealed that the expression of CsNLRs is induced by Colletotrichum fructicola, cold, drought, salt stress and exogenous methyl jasmonate. The 21 CsCNLs that are highly expressed in tea plant under biotic and abiotic stresses as well as during bud dormancy and in different tissues are identified. Gene structure analysis revealed several cis-regulatory elements associated with phytohormones and light responsiveness in the promoter regions of these 21 CsCNLs.

Pubmed ID: 31408701

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DnaSP (tool)

RRID:SCR_003067

A software package for the analysis of nucleotide polymorphism from aligned DNA sequence data. DnaSP can estimate several measures of DNA sequence variation within and between populations (in noncoding, synonymous or nonsynonymous sites, or in various sorts of codon positions), as well as linkage disequilibrium, recombination, gene flow and gene conversion parameters. DnaSP can also carry out several tests of neutrality: Hudson, Kreitman and Aguad (1987), Tajima (1989), McDonald and Kreitman (1991), Fu and Li (1993), and Fu (1997) tests. Additionally, DnaSP can estimate the confidence intervals of some test-statistics by the coalescent. The results of the analyses are displayed on tabular and graphic form.

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RRID:SCR_005305

Tool for searching sequence databases for homologs of protein sequences, and for making protein sequence alignments. It implements methods using probabilistic models called profile hidden Markov models (profile HMMs). Compared to BLAST, FASTA, and other sequence alignment and database search tools based on older scoring methodology, HMMER aims to be significantly more accurate and more able to detect remote homologs because of the strength of its underlying mathematical models. In the past, this strength came at significant computational expense, but in the new HMMER3 project, HMMER is now essentially as fast as BLAST.

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Bioinformatics Gent (tool)

RRID:SCR_010251

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RRID:SCR_015501

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RRID:SCR_022504

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