De novo transcriptome assembly of the plant Helianthemum marifolium for the study of adaptive mechanisms.

IF 5.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Andrea Martín-Díaz, Clara de Vega, Sara Martín-Hernanz, Abelardo Aparicio, Rafael G Albaladejo
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Abstract

The genus Helianthemum, commonly known as rockroses, encompasses 140 species primarily distributed in the Palearctic region, with notable diversification driven by climatic and geological changes. These plants are valuable for studying speciation processes and ecological divergence. The chemical properties of the leaves have also been investigated for containing valuable bioactive compounds with several therapeutic properties. However, the availability of genomic resources for species in this genus are almost entirely lacking. Here, we assembled and annotated the first reference transcriptome of Helianthemum marifolium, a species with wide morphological variability and infraspecific diversity. Illumina paired-end RNA sequences were generated using leaves from 16 individuals, representing the four recognized subspecies, all cultivated in a greenhouse. RNA reads were assembled with Trinity and Oases, and EvidentialGene produced a transcriptome with 122,002 transcripts. The transcriptome showed 59524 hits on the UniProtBK database through BLASTx. This transcriptome will be an invaluable resource for transcriptome-level population studies, conservation genetics of the many endangered species within the genus, and for deepen into the metabolic pathways of leaf-derived compounds.

通常被称为岩蔷薇的 Helianthemum 属包括 140 个物种,主要分布在古北区,其显著的多样化是由气候和地质变化驱动的。这些植物对于研究物种演化过程和生态分异具有重要价值。人们还研究了叶片的化学特性,发现其中含有具有多种治疗特性的珍贵生物活性化合物。然而,该属物种的基因组资源几乎完全缺乏。在这里,我们组装并注释了 Helianthemum marifolium 的第一个参考转录组,该物种具有广泛的形态变异性和种下多样性。我们使用 16 个个体的叶片生成了 Illumina 成对末端 RNA 序列,这些个体代表了四个公认的亚种,均在温室中栽培。用 Trinity 和 Oases 对 RNA 读数进行了组装,EvidentialGene 生成了包含 122,002 个转录本的转录组。通过 BLASTx,该转录组在 UniProtBK 数据库中显示出 59524 个点击。该转录组对于转录组水平的种群研究、该属中许多濒危物种的保护遗传学以及深入研究叶片衍生化合物的代谢途径都将是非常宝贵的资源。
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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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