中国农业科学 ›› 2019, Vol. 52 ›› Issue (23): 4333-4349.doi: 10.3864/j.issn.0578-1752.2019.23.014

• 专题:苹果分子生物学 • 上一篇    下一篇

苹果NLP(Nin-Like Protein)转录因子基因家族全基因组鉴定及表达模式分析

王寻,陈西霞,李宏亮,张富军,赵先炎,韩月彭,王小非(),郝玉金()   

  1. 山东农业大学园艺科学与工程学院/作物生物学国家重点实验室,山东泰安 271018
  • 收稿日期:2019-04-28 接受日期:2019-06-26 出版日期:2019-12-01 发布日期:2019-12-01
  • 通讯作者: 王小非,郝玉金
  • 作者简介:王寻,E-mail:wx20145015@126.com
  • 基金资助:
    国家自然科学基金(31601742);东省现代农业产业技术体系(SDAIT-06-03);国家现代苹果产业技术体系(CARS-27)

Genome-Wide Identification and Expression Pattern Analysis of NLP (Nin-Like Protein) Transcription Factor Gene Family in Apple

WANG Xun,CHEN XiXia,LI HongLiang,ZHANG FuJun,ZHAO XianYan,HAN YuePeng,WANG XiaoFei(),HAO YuJin()   

  1. College of Horticulture Science and Engineering, Shandong Agricultural University/State Key Laboratory of Crop Biology, Tai’an 271018, Shandong
  • Received:2019-04-28 Accepted:2019-06-26 Online:2019-12-01 Published:2019-12-01
  • Contact: XiaoFei WANG,YuJin HAO

摘要:

【目的】探究苹果NLP转录因子全基因组特征与表达模式,以便更深入地了解其结构特点与作用机制。【方法】基于本地BLAST数据库和Pfam数据库两大数据库,运用blastp和hmmsearch两种查询策略,对苹果全基因组范围内的NLP转录因子家族成员进行鉴定。经过严格筛选与确认后,对搜索结果进一步展开分析,主要分为3部分,包括NLP蛋白分析、NLP分析与苹果NLP表达分析,其中ProtParam、Clustal Omega、MEGA7、MEME 5.0.2、SOPMA、Phyre 2、WoLF PSORT、STRING等程序或软件用于蛋白质分析,基因分析使用MG2C、GSDS 2.0、PlantCARE、psRNATarget等在线工具,对于苹果NLP表达情况利用qRT-PCR进行定量检测。【结果】从苹果全部蛋白数据库中共筛选出6个NLP成员,系统进化分析可将它们分为I、II、III三类;蛋白二级结构以无规则卷曲为主,其次是α-螺旋,占比最小的是β-转角;亚细胞定位预测均定位于细胞核中,符合转录因子的特征;染色体定位显示5个基因(MDP0000584547除外)定位于4条染色体上;启动子分析发现大量与激素和逆境响应相关的顺式作用元件,暗示它们可能参与到激素和逆境信号的调控过程中,此外还识别到一个响应氮的GCN4作用元件,进一步说明该类转录因子与氮素有密不可分的关系;通过定量检测揭示苹果NLP家族在茎、叶等组织高表达的特征模式,并且表达分析结果也证实苹果NLP响应氮饥饿、干旱胁迫等。【结论】通过对苹果全基因组的分析,共识别6个NLP转录因子,对6个基因的结构与蛋白保守域分析,发现它们之间具有极高的相似性、保守性,同时又存在差异。类比拟南芥NLP蛋白的关联网络,推测与拟南芥NLP7同源性最高的MDP0000132856可能也具有复杂的功能。

关键词: 苹果, NLP转录因子, 氮信号, 生物信息学

Abstract:

【Objective】The study was carried out to explore the whole genome characteristics and expression patterns of NLP transcription factors in apple, and further understand its structural characteristics and mechanism.【Method】Based on the local BLAST database and Pfam database, the members of NLP transcription factor family in the whole genome of apple were identified by using two query strategies with blastp and hmmsearch. Through strict filtration and confirmation, the results were used for further analysis, and analysis mainly divides into three parts, including NLP proteins analysis, analysis of NLP genes and NLP expression analysis in apple. Programs or softwares, such as ProtParam, Clustal Omega, MEGA7, MEME 5.0.2, SOPMA, Phyre 2, WoLF PSORT and STRING, were used for protein analysis, online tools included MG2C, GSDS2.0, PlantCARE, psRNATarget, were used for gene analysis, and the expression of MdNLP gene was quantitatively detected by qRT-PCR.【Result】6 NLP members were identified from apple protein databases, which were classified into three categories by phylogenetic analysis: I, II and III. The protein secondary structure was dominated by random coil, followed by alpha-helix, and the smallest proportion was beta-turn. The prediction of subcellular localization was located in the nucleus, which was consistent with the characteristics of transcription factors. Chromosome localization showed that five genes (except MDP0000584547) were located on four chromosomes. Promoter analysis revealed a large number of cis-acting elements related to hormone and stress response, suggesting that MdNLP genes might be involved in the regulation of hormone and stress signals. In addition, a nitrogen-responsive GCN4 element was also identified, further indicating that such transcription factors were closely related to nitrogen. By quantitative detection, the pattern which NLP family had high expression in stem and leaf of apple was revealed. And the expression analysis results also confirmed that MdNLP genes responded to nitrogen starvation and drought stress, and so on.【Conclusion】Through the apple genome analysis, 6 NLP transcription factors were found; the analysis of structure and conserved domain of protein for 6 gene suggested that there had a very high similarity and conservation between them, at the same time, they were different in a way; the associated protein network of NLP family in Arabidopsis thaliana were used for MdNLPs, MDP0000132856, which had the highest homology with AtNLP7, might also have complicated features and functions.

Key words: apple, NLP transcription factor, nitrogen signal, bioinformatics