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大戟科植物成员间EST-SSR标记的挖掘与比较研究

Mining and comparative survey of EST-SSR markers among members of Euphorbiaceae family.

作者信息

Sen Surojit, Dehury Budheswar, Sahu Jagajjit, Rathi Sunayana, Yadav Raj Narain Singh

机构信息

Centre for Biotechnology and Bioinformatics, Dibrugarh University, Dibrugarh, Assam, India.

Biomedical Informatics Centre, ICMR-Regional Medical Research Centre, Nalco Square, Chandrasekharpur, Bhubaneswar, Odisha, 751023, India.

出版信息

Mol Biol Rep. 2018 Aug;45(4):453-468. doi: 10.1007/s11033-018-4181-0. Epub 2018 Apr 6.

Abstract

Euphorbiaceae represents flowering plants family of tropical and sub-tropical region rich in secondary metabolites of economic importance. To understand and assess the genetic makeup among the members, this study was undertaken to characterize and compare SSR markers from publicly available ESTs and GSSs of nine selected species of the family. Mining of SSRs was performed by MISA, primer designing by Primer3, while functional annotation, gene ontology (GO) and enrichment analysis were performed by Blast2GO. A total 12,878 number of SSRs were detected from 101,701 number of EST sequences. SSR density ranged from 1 SSR/3.22 kb to 1 SSR/15.65 kb. A total of 1873 primer pairs were designed for the annotated SSR-Contigs. About 77.07% SSR-ESTs could be assigned a significant match to the protein database. 3037 unique SSR-FDM were assigned and IPR003657 (WRKY Domain) was found to be the most dominant FDM among the members. 1810 unique GO terms obtained were further subjected to enrichment analysis to obtain 513 statistically significant GO terms mapped to the SSR containing ESTs. Most frequent enriched GO terms were, GO:0003824 for molecular function, GO:0006350 for biological process and GO:0005886 for cellular component, justifying the richness of defensive secondary metabolites and phytomedicine within the family. The results from this study provides tangible insight to genetic make-up and distribution of SSRs. Functional annotation corresponded many genes of unknown functions which may be considered as novel genes or genes responsible for stress specific secondary metabolites. Further studies are required to understand stress specific genes accountable for leveraging the synthesis of secondary metabolites.

摘要

大戟科是热带和亚热带地区的开花植物科,富含具有经济重要性的次生代谢产物。为了了解和评估该科成员之间的基因组成,本研究对该科9个选定物种公开可用的EST和GSS中的SSR标记进行了表征和比较。通过MISA进行SSR挖掘,通过Primer3设计引物,同时通过Blast2GO进行功能注释、基因本体(GO)和富集分析。从101,701条EST序列中总共检测到12,878个SSR。SSR密度范围为1个SSR/3.22 kb至1个SSR/15.65 kb。为注释的SSR重叠群设计了总共1873对引物。约77.07%的SSR-EST可以与蛋白质数据库进行显著匹配。分配了3037个独特的SSR-FDM,发现IPR003657(WRKY结构域)是成员中最主要的FDM。对获得的1810个独特的GO术语进一步进行富集分析,以获得513个映射到含SSR的EST的具有统计学意义的GO术语。最常见的富集GO术语是,分子功能的GO:0003824、生物过程的GO:0006350和细胞成分的GO:0005886,证明了该科中防御性次生代谢产物和植物药的丰富性。本研究结果为SSR的基因组成和分布提供了切实的见解。功能注释对应了许多未知功能的基因,这些基因可能被视为新基因或负责应激特异性次生代谢产物的基因。需要进一步研究以了解负责利用次生代谢产物合成的应激特异性基因。

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