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转录组特征分析及生态重要喜马拉雅物种(杜鹃花属 arboreum)分子标记筛选。

Transcriptome characterization and screening of molecular markers in ecologically important Himalayan species (Rhododendron arboreum).

机构信息

Molecular Genetics Laboratory, Centre for Plant Sciences, Central University of Punjab, City Campus, Mansa Road, Bathinda 151001, India.

出版信息

Genome. 2018 Jun;61(6):417-428. doi: 10.1139/gen-2017-0143. Epub 2018 Apr 15.

DOI:10.1139/gen-2017-0143
PMID:29658317
Abstract

Rhododendron arboreum is an ecologically prominent species, which also lends commercial and medicinal benefits in the form of palatable juices and useful herbal drugs. Local abundance and survival of the species under a highly fluctuating climate make it an ideal model for genetic structure and functional analysis. However, a lack of genomic data has hampered additional research. In the present study, cDNA libraries from floral and foliar tissues of the species were sequenced to provide a foundation for understanding the functional aspects of the genome and to construct an enriched repository that will promote genomics studies in the genera. Illumina's platform facilitated the generation of ∼100 million high-quality paired-end reads. De novo assembly, clustering, and filtering out of shorter transcripts predicted 113 167 non-redundant transcripts with an average length of 1164.6 bases. Of these, 71 961 transcripts were categorized based on functional annotations in the Gene Ontology database, whereby 5710 were grouped into 141 pathways and 23 746 encoded for different transcription factors. Transcriptome screening further identified 35 419 microsatellite regions, of which, 43 polymorphic loci were characterized on 30 genotypes. Seven hundred and nineteen transcripts had 811 high-quality single-nucleotide polymorphic variants with a minimum coverage of 10, a total score of 20, and SNP% of 50.

摘要

马缨杜鹃是一种生态地位突出的物种,它以可口的汁液和有用的草药形式带来商业和药用效益。该物种在高度波动的气候下的丰富度和生存能力使其成为遗传结构和功能分析的理想模型。然而,缺乏基因组数据阻碍了进一步的研究。在本研究中,对该物种的花和叶组织的 cDNA 文库进行了测序,为理解基因组的功能方面提供了基础,并构建了一个丰富的资源库,将促进该属的基因组学研究。Illumina 平台促成了约 1 亿个高质量的双端测序reads 的生成。从头组装、聚类和过滤较短的转录本,预测出 113167 个非冗余转录本,平均长度为 1164.6 个碱基。其中,根据基因本体数据库中的功能注释,71961 个转录本被分类,其中 5710 个被分为 141 条途径,23746 个编码不同的转录因子。转录组筛选进一步鉴定了 35419 个微卫星区域,其中 43 个多态性位点在 30 个基因型上进行了特征描述。719 个转录本有 811 个高质量的单核苷酸多态性变体,最小覆盖度为 10,总评分 20,SNP%为 50。

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