环境DNA比较系统地理学:一个物种丰富的淡水虾虎鱼种群结构的同时估计。

IF 3.9 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Satsuki Tsuji, Shota Kunimatsu, Katsutoshi Watanabe
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引用次数: 0

摘要

比较系统地理学通过分析多个物种的空间遗传变异,为形成生物多样性模式的进化过程提供了至关重要的见解。然而,传统的基于捕获的方法往往是劳动密集型的,特别是对于多物种分析。环境DNA (Environmental DNA, eDNA)分析在比较系统地理学中具有显著的优势,包括简化现场调查,只需要收集水和从一个样本同时分析多个物种的潜力。为了进一步扩大eDNA的应用范围并证明其在比较系统地理学研究中的实用性,本研究采用eDNA分析方法同时分析了日本群岛一个物种丰富的淡水虾虎鱼类群(Rhinogobius)的系统地理学模式。使用新设计的针对Rhinogobius线粒体细胞色素b区域的群体特异性引物,对从群岛573个地点收集的eDNA样本进行DNA扩增。高通量测序检测了该地区所有9个已知物种(或物种群)的单倍型,随后进行了系统发育和网络分析。eDNA分析成功地揭示了多个物种的遗传群体结构。内陆物种氟河鼠表现出受地貌障碍影响的精细尺度种群分化,而两栖物种表现出可能受洋流及其生态特征影响的更广泛的遗传模式。通过eDNA分析重建的系统发育和系统地理模式与先前基于常规方法确定的有限群体的模式几乎完全一致,证明了基于eDNA的比较系统地理学的可靠性。这项研究强调了eDNA在补充和部分取代传统方法方面的潜力,为大规模的比较系统地理学研究提供了便利,以获得对生物多样性空间格局和进化过程的新见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Environmental DNA Comparative Phylogeography: Simultaneous Estimation of Population Structures Within a Species-Rich Group of Freshwater Gobies

Comparative phylogeography provides crucial insights into evolutionary processes shaping biodiversity patterns by analysing spatial genetic variations across multiple species. However, conventional capture-based methods are often labour-intensive, particularly for multi-species analyses. Environmental DNA (eDNA) analysis has significant advantages in comparative phylogeography, including simplified field surveys requiring only water collection and the potential to simultaneously analyse multiple species from a single sample. To further expand the eDNA application and demonstrate its utility in comparative phylogeographic studies, this study employed eDNA analysis to simultaneously analyse the phylogeographic patterns in a species-rich freshwater goby group (Rhinogobius) in the Japanese Archipelago. DNA amplification was performed on eDNA samples collected from 573 sites across the archipelago using newly designed group-specific primers targeting the mitochondrial cytochrome b region of Rhinogobius. High-throughput sequencing detected haplotypes of all nine known species (or species groups) occurring in this region, followed by phylogenetic and network analyses. The eDNA analysis successfully revealed the genetic population structures across multiple species. A landlocked species, R. flumineus, exhibited fine-scale population differentiation shaped by geomorphological barriers, while amphidromous species showed broader genetic patterns likely influenced by ocean currents and their ecological traits. The phylogenetic and phylogeographic patterns reconstructed by the eDNA analysis were almost completely concordant with previously identified patterns of limited groups based on conventional methods, demonstrating the reliability of eDNA-based comparative phylogeography. This study highlights the potential of eDNA to complement and partially replace conventional methods, facilitating large-scale comparative phylogeographic research to gain new insights into spatial patterns and evolutionary processes of biodiversity.

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来源期刊
Molecular Ecology
Molecular Ecology 生物-进化生物学
CiteScore
8.40
自引率
10.20%
发文量
472
审稿时长
1 months
期刊介绍: Molecular Ecology publishes papers that utilize molecular genetic techniques to address consequential questions in ecology, evolution, behaviour and conservation. Studies may employ neutral markers for inference about ecological and evolutionary processes or examine ecologically important genes and their products directly. We discourage papers that are primarily descriptive and are relevant only to the taxon being studied. Papers reporting on molecular marker development, molecular diagnostics, barcoding, or DNA taxonomy, or technical methods should be re-directed to our sister journal, Molecular Ecology Resources. Likewise, papers with a strongly applied focus should be submitted to Evolutionary Applications. Research areas of interest to Molecular Ecology include: * population structure and phylogeography * reproductive strategies * relatedness and kin selection * sex allocation * population genetic theory * analytical methods development * conservation genetics * speciation genetics * microbial biodiversity * evolutionary dynamics of QTLs * ecological interactions * molecular adaptation and environmental genomics * impact of genetically modified organisms
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