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基于系统发育的综合分析方法推断化石鰕虎鱼(硬骨鱼纲:鰕虎鱼目)的亲缘关系。

An integrative phylogenetic approach for inferring relationships of fossil gobioids (Teleostei: Gobiiformes).

机构信息

Department of Earth and Environmental Sciences, Palaeontology & Geobiology, Ludwig-Maximilians-Universität München, Munich, Germany.

UMR 8067 Biologie des Organismes et Ecosystèmes Aquatiques (BOREA), Muséum National d'Histoire Naturelle, CNRS, IRD, SU, Paris, France.

出版信息

PLoS One. 2022 Jul 8;17(7):e0271121. doi: 10.1371/journal.pone.0271121. eCollection 2022.

DOI:10.1371/journal.pone.0271121
PMID:35802740
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9269936/
Abstract

The suborder Gobioidei is among the most diverse groups of vertebrates, comprising about 2310 species. In the fossil record gobioids date back to the early Eocene (c. 50 m.y. ago), and a considerable increase in numbers of described species is evident since the middle Miocene (c. 16 m.y. ago). About 40 skeleton-based gobioid species and > 100 otolith-based species have been described until to date. However, assignment of a fossil gobioid species to specific families has often remained tentative, even if well preserved complete specimens are available. The reasons are that synapomorphies that can be recognized in a fossil skeleton are rare (or absent) and that no phylogenetic framework applicable to gobioid fossils exists. Here we aim to overcome this problem by developing a phylogenetic total evidence framework that is suitable to place a fossil skeleton-based gobioid at family level. Using both literature and newly collected data we assembled a morphological character matrix (48 characters) for 29 extant species, representing all extant gobioid families, and ten fossil gobioid species, and we compiled a multi-gene concatenated alignment (supermatrix; 6271 bp) of published molecular sequence data for the extant species. Bayesian and Maximum Parsimony analyses revealed that our selection of extant species was sufficient to achieve a molecular 'backbone' that fully conforms to previous molecular work. Our data revealed that inclusion of all fossil species simultaneously produced very poorly resolved trees, even for some extant taxa. In contrast, addition of a single fossil species to the total evidence data set of the extant species provided new insight in its possible placement at family level, especially in a Bayesian framework. Five out of the ten fossil species were recovered in the same family as had been suggested in previous works based on comparative morphology. The remaining five fossil species had hitherto been left as family incertae sedis. Now, based on our phylogenetic framework, new and mostly well supported hypotheses to which clades they could belong can be presented. We conclude that the total evidence framework presented here will be beneficial for all future work dealing with the phylogenetic placement of a fossil skeleton-based gobioid and thus will help to improve our understanding of the evolutionary history of these fascinating fishes. Moreover, our data highlight that increased sampling of fossil taxa in a total-evidence context is not universally beneficial, as might be expected, but strongly depends on the study group and peculiarities of the morphological data.

摘要

鲈形目是脊椎动物中最多样化的群体之一,包含约 2310 个物种。在化石记录中,鲈形目可追溯到始新世早期(约 5000 万年前),从中新世中期(约 1600 万年前)开始,描述的物种数量显著增加。迄今为止,已经描述了大约 40 种基于骨骼的鲈形目物种和 >100 种基于耳石的物种。然而,即使有保存完好的完整标本,将化石鲈形目物种分配到特定的科仍然是不确定的。原因是在化石骨骼中可以识别的同源特征很少(或不存在),并且不存在适用于鲈形目化石的系统发育框架。在这里,我们旨在通过开发一种适合将基于骨骼的化石鲈形目置于科级水平的系统发育总证据框架来克服这个问题。我们使用文献和新收集的数据,为 29 个现存物种组装了一个形态特征矩阵(48 个特征),代表了所有现存的鲈形目科,以及 10 个化石鲈形目物种,并为现存物种的已发表分子序列数据编制了一个多基因串联排列(超级矩阵;6271 bp)。贝叶斯和最大简约分析表明,我们选择的现存物种足以获得一个完全符合以前分子工作的分子“骨干”。我们的数据表明,同时包含所有化石物种会产生非常不清晰的树,即使对于一些现存的分类群也是如此。相比之下,将单个化石物种添加到现存物种的总证据数据集会提供其在科级水平上可能的位置的新见解,特别是在贝叶斯框架下。十个化石物种中有五个被归为与以前基于比较形态学的研究中相同的科。其余五个化石物种以前一直被归为科未定。现在,根据我们的系统发育框架,可以提出它们可能所属的新的、大多得到很好支持的分支假说。我们的结论是,这里提出的总证据框架将有益于所有未来涉及基于骨骼的化石鲈形目系统发育定位的工作,并有助于提高我们对这些迷人鱼类进化历史的理解。此外,我们的数据强调,在总证据背景下增加化石分类群的采样并不像预期的那样普遍有益,而是强烈取决于研究群体和形态数据的特殊性。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50a3/9269936/0191e1b67106/pone.0271121.g008.jpg

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