Posgrado en Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Ciudad de México, México.
Unidad de Ecología y Biodiversidad Acuática, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Mexico City, Mexico.
PeerJ. 2023 Mar 27;11:e15029. doi: 10.7717/peerj.15029. eCollection 2023.
The lack of barriers in the marine environment has promoted the idea of panmixia in marine organisms. However, oceanographic conditions and habitat characteristics have recently been linked to genetic structure in marine species. The Tropical Eastern Pacific (TEP) is characterized by dynamic current systems and heterogeneous oceanographic conditions. The Gulf of Panama (part of the equatorial segment for the TEP) is influenced by a complex current system and heterogeneous environment, which has been shown to limit the gene flow for shoreline species. Next Generation Sequencing (NGS) has contributed to detect genetic differences in previously reported panmictic species by the assessment of loci associated with selection and to understand how selection acts affects marine populations. is a species distributed in the TEP for which previous studies using mitochondrial data recovered a panmictic pattern along its distributional range. In this study, we used SNP data of individuals sampled along its range to evaluate population genetic structure and investigate whether oceanographic factors influence the species' genetic architecture. Finally, we assessed the role of adaptive selection by evaluating the contribution of outlier and neutral loci to genetic divergence.
The RADcap method was used to obtain 24 million paired reads for 123 individuals of covering nearly all its distributional area. Genetic variation was assessed using both spatial and non-spatial methods by comparing three different data sets: (i) a Combined Loci (CL dataset = 2003 SNPs); a search for putative loci under selection allowed the evaluation of (ii) Neutral Loci (NL dataset = 1858 SNPs) and (iii) Outlier Loci (OL dataset = 145 SNPs). We used the estimating effective migration surface (EEMS) approach to detect possible barriers to gene flow.
Genetic differences were found in the OL dataset, showing two clusters (Northern and Southern), whereas NL showed no differences. This result may be related to the Selection-Migration balance model. The limit between the Northern and Southern groups was in the Gulf of Panama, which has been previously identified as a barrier to gene flow for other species, mainly due to its heterogeneous oceanographic conditions. The results suggest that selection plays an important role in generating genetic differences in . A migration corridor was detected that coincides with the Costa Rica Coastal Current that flows from Central America to the Gulf of California, allowing the homogenization of the northern population. In the Southern cluster, a migration corridor was observed with the OL from Panama to Colombia, which could be associated with the currents found in the Gulf of Panama. Genetic variation found in the OL of highlights the usefulness of NGS data in evaluating the role of selection in population differentiation.
海洋环境中缺乏障碍促进了海洋生物泛种群的概念。然而,海洋学条件和栖息地特征最近与海洋物种的遗传结构有关。东热带太平洋(TEP)以动态的海流系统和不均匀的海洋学条件为特征。巴拿马湾(TEP 赤道段的一部分)受复杂的海流系统和不均匀的环境影响,这限制了沿海物种的基因流动。下一代测序(NGS)通过评估与选择相关的基因座,有助于检测先前报道的泛种群物种的遗传差异,并了解选择如何影响海洋种群。是一种分布在 TEP 的物种,先前使用线粒体数据的研究表明,在其分布范围内存在泛种群模式。在这项研究中,我们使用了沿其分布范围采样的 123 个个体的 SNP 数据,评估了种群遗传结构,并研究了海洋学因素是否影响该物种的遗传结构。最后,我们通过评估外显子和中性基因座对遗传分化的贡献来评估适应性选择的作用。
使用 RADcap 方法获得了 123 个个体的 2400 万对配对读取,覆盖了 的几乎所有分布区域。通过比较三个不同的数据组(i)组合基因座(CL 数据集=2003 个 SNP);ii)中性基因座(NL 数据集=1858 个 SNP)和 iii)外显子基因座(OL 数据集=145 个 SNP),使用空间和非空间方法评估了遗传变异。我们使用估计有效迁移表面(EEMS)方法来检测可能的基因流动障碍。
在 OL 数据集发现了遗传差异,显示出两个聚类(北部和南部),而 NL 没有差异。这一结果可能与选择-迁移平衡模型有关。北部和南部群体的界限在巴拿马湾,此前已经确定该地区是其他物种基因流动的障碍,主要是由于其不均匀的海洋学条件。结果表明,选择在 产生遗传差异方面起着重要作用。检测到一个与从中美洲流向加利福尼亚湾的哥斯达黎加沿海流一致的迁移走廊,使北部种群同质化。在南部聚类中,观察到一个从巴拿马到哥伦比亚的 OL 迁移走廊,这可能与在巴拿马湾发现的海流有关。在 的 OL 中发现的遗传变异突出了 NGS 数据在评估选择在种群分化中的作用的有用性。