Simultaneous Inference of Flora-Wide Nuclear and Plastid Phylogenies Using Angiosperms353 Sequence Capture Data

IF 5.9 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Sébastien Miche, Charles Pouchon, Camille Christe, Anna Marcionetti, Maya Wells, Yamama Naciri, Nicolas Wyler, Mathieu Perret
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引用次数: 0

Abstract

Accurate knowledge of phylogenetic relationships and divergence time among plant species composing a regional flora is crucial for understanding the origin of the biodiversity patterns we observe today. Despite advances in phylogenomics, resources available for reconstructing regional phylogenies are still largely incomplete and poorly resolved at the species level. We developed a workflow to assemble a phylogenetic dataset for a regional flora using Angiosperms353 target-enrichment and high-throughput genome sequencing. We sampled tissues from freshly collected plants and herbarium specimens representing the angiosperm diversity of the Geneva canton in Switzerland (1098 species). We used ORTHOSKIM to recover targeted nuclear genes and plastid loci from off-target reads, estimated relationships and time divergence using IQTREE, weighted-ASTRAL and treePL, and compared the results obtained from nuclear and plastid genes. We recovered a mean of 289 nuclear and 54 plastid genes for 1316 taxa, representing 92% of the species native to the Geneva canton. We demonstrate that nuclear genes provide increased resolution and phylogenetic support, but similar divergence time estimates compared to plastomes. Our workflow based on Angiosperms353 data provides a phylogenetic framework for an entire regional flora that is consistent with current systematic knowledge and more resolved and complete at the infrageneric level than trees obtained from phylogenetic resources available for angiosperms. This type of genomic data opens perspectives for fine-scale biodiversity and conservation research that integrates evolutionary history.

利用被子植物353序列捕获数据同时推断植物的核和质体系统发育。
准确了解组成区域植物区系的植物物种之间的系统发育关系和分化时间对于理解我们今天所观察到的生物多样性模式的起源至关重要。尽管系统基因组学取得了进展,但用于重建区域系统发生的资源仍然很大程度上是不完整的,并且在物种水平上解决得很差。我们开发了一个工作流程,利用Angiosperms353靶点富集和高通量基因组测序来组装一个区域植物群的系统发育数据集。我们采集了代表瑞士日内瓦州被子植物多样性的新鲜植物和标本馆标本(1098种)。我们使用ORTHOSKIM从脱靶reads中恢复目标核基因和质体位点,使用IQTREE、weighted-ASTRAL和treePL估计关系和时间散度,并比较核基因和质体基因的结果。在1316个分类群中平均恢复了289个核基因和54个质体基因,占日内瓦州原生物种的92%。我们证明核基因提供了更高的分辨率和系统发育支持,但与质体相比,相似的分化时间估计。我们基于Angiosperms353数据的工作流程为整个区域植物区系提供了一个系统发育框架,该框架与当前的系统知识一致,并且比从被子植物系统发育资源中获得的树更具有分辨率和完整性。这种类型的基因组数据为整合进化历史的精细尺度生物多样性和保护研究开辟了前景。
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来源期刊
Molecular Ecology Resources
Molecular Ecology Resources 生物-进化生物学
CiteScore
15.60
自引率
5.20%
发文量
170
审稿时长
3 months
期刊介绍: Molecular Ecology Resources promotes the creation of comprehensive resources for the scientific community, encompassing computer programs, statistical and molecular advancements, and a diverse array of molecular tools. Serving as a conduit for disseminating these resources, the journal targets a broad audience of researchers in the fields of evolution, ecology, and conservation. Articles in Molecular Ecology Resources are crafted to support investigations tackling significant questions within these disciplines. In addition to original resource articles, Molecular Ecology Resources features Reviews, Opinions, and Comments relevant to the field. The journal also periodically releases Special Issues focusing on resource development within specific areas.
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