Quattrini Andrea M, McCartin Luke J, Easton Erin E, Horowitz Jeremy, Wirshing Herman H, Bowers Hailey, Mitchell Kenneth, González-García María Del P, Sei Makiri, McFadden Catherine S, Herrera Santiago
Department of Invertebrate Zoology, National Museum of Natural History Smithsonian Institution Washington DC USA.
Department of Biological Sciences Lehigh University Bethlehem Pennsylvania USA.
Ecol Evol. 2024 May 13;14(5):e11254. doi: 10.1002/ece3.11254. eCollection 2024 May.
Numerous genomic methods developed over the past two decades have enabled the discovery and extraction of orthologous loci to help resolve phylogenetic relationships across various taxa and scales. Genome skimming (or low-coverage genome sequencing) is a promising method to not only extract high-copy loci but also 100s to 1000s of phylogenetically informative nuclear loci (e.g., ultraconserved elements [UCEs] and exons) from contemporary and museum samples. The subphylum Anthozoa, including important ecosystem engineers (e.g., stony corals, black corals, anemones, and octocorals) in the marine environment, is in critical need of phylogenetic resolution and thus might benefit from a genome-skimming approach. We conducted genome skimming on 242 anthozoan corals collected from 1886 to 2022. Using existing target-capture baitsets, we bioinformatically obtained UCEs and exons from the genome-skimming data and incorporated them with data from previously published target-capture studies. The mean number of UCE and exon loci extracted from the genome skimming data was 1837 ± 662 SD for octocorals and 1379 ± 476 SD loci for hexacorals. Phylogenetic relationships were well resolved within each class. A mean of 1422 ± 720 loci was obtained from the historical specimens, with 1253 loci recovered from the oldest specimen collected in 1886. We also obtained partial to whole mitogenomes and nuclear rRNA genes from >95% of samples. Bioinformatically pulling UCEs, exons, mitochondrial genomes, and nuclear rRNA genes from genome skimming data is a viable and low-cost option for phylogenetic studies. This approach can be used to review and support taxonomic revisions and reconstruct evolutionary histories, including historical museum and type specimens.
在过去二十年中开发的众多基因组方法,使得直系同源基因座的发现和提取成为可能,有助于解决不同分类群和尺度下的系统发育关系。基因组浅层测序(或低覆盖度基因组测序)是一种很有前景的方法,它不仅能提取高拷贝基因座,还能从当代和博物馆样本中提取数百到数千个具有系统发育信息的核基因座(例如,超保守元件[UCEs]和外显子)。珊瑚虫亚纲包括海洋环境中的重要生态系统工程师(如石珊瑚、黑珊瑚、海葵和八放珊瑚),迫切需要解决其系统发育问题,因此可能会从基因组浅层测序方法中受益。我们对1886年至2022年收集的242种珊瑚虫纲珊瑚进行了基因组浅层测序。利用现有的目标捕获诱饵组,我们通过生物信息学方法从基因组浅层测序数据中获得了UCEs和外显子,并将它们与先前发表的目标捕获研究数据相结合。从基因组浅层测序数据中提取的八放珊瑚的UCE和外显子基因座的平均数为1837 ± 662 SD,六放珊瑚为1379 ± 476 SD基因座。每个纲内的系统发育关系都得到了很好的解析。从历史标本中平均获得了1422 ± 720个基因座,从1886年收集的最古老标本中获得了1253个基因座。我们还从超过95%的样本中获得了部分到完整的线粒体基因组和核rRNA基因。通过生物信息学方法从基因组浅层测序数据中提取UCEs、外显子、线粒体基因组和核rRNA基因,是系统发育研究中一种可行且低成本的选择。这种方法可用于审查和支持分类学修订,并重建进化历史,包括历史博物馆标本和模式标本。