The complete chloroplast genome data of Bergera glabra (Guillaumin) F.J.Mou, a potential aromatic plant endemic to Vietnam

IF 1.9 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2026-08-01 Epub Date: 2026-10-06 DOI:10.1016/j.dib.2026.113313

Nhat Nam Nguyen

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引用次数: 0

Abstract

The genus Bergera J.Koenig is renowned for the curry tree (Bergera koenigii L.) and related aromatic species. However, most available genomic data for this genus have focused on B. koenigii because of its widespread use as a spice. In this study, we sequence and report the complete chloroplast genome of Bergera glabra (Guillaumin) F.J.Mou, a species endemic to Vietnam. The reported genome has a quadripartite structure, comprising a large single-copy region (87,759 bp and 37.1% GC), a small single-copy region (18,075 bp and 33.7% GC), and two inverted repeat regions (27,112 bp and 43% GC each). Additionally, the genome contains 79 protein-coding genes, 30 transfer RNA genes, and four ribosomal RNA genes. Phylogenetic analysis indicated the monophyly of the genus Bergera and a close relationship between B. glabra and Bergera euchrestifolia (Hayata) F.J.Mou. This study expands the genomic data of the genus Bergera and provides useful information for further genomic studies examining population genetics and molecular markers for B. glabra and other related Bergera taxa.

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越南潜在特有芳香植物大花柏草（Bergera glabra (Guillaumin) F.J.Mou）叶绿体全基因组数据

该属以咖喱树（Bergera koenigii L.）和相关的芳香物种而闻名。然而，该属的大多数可用基因组数据都集中在B. koenigii上，因为它被广泛用作香料。在这项研究中，我们测序并报道了越南特有物种Bergera glabra (Guillaumin) F.J.Mou的叶绿体全基因组。所报道的基因组具有四部分结构，包括一个大的单拷贝区（87,759 bp和37.1% GC），一个小的单拷贝区（18,075 bp和33.7% GC）和两个反向重复区（27,112 bp和43% GC）。此外，基因组包含79个蛋白质编码基因，30个转移RNA基因和4个核糖体RNA基因。系统发育分析表明，该属属植物具有单系性，与Bergera euchrestifolia (Hayata) f.j.m ouia亲缘关系密切。本研究扩充了伯格拉属的基因组数据，为进一步研究大叶伯格拉属和其他相关分类群的群体遗传学和分子标记提供了有用的信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.