Plachetzki David C, Sabrina Pankey M, Johnson Brian R, Ronne Eric J, Kopp Artyom, Grosberg Richard K
*Department of Molecular, Cellular and Biomedical Sciences, The University of New Hampshire, Durham, NH 03801, USA; Department of Ecology Evolution and Marine Biology, The University of California at Santa Barbara, Santa Barbara, CA 93106, USA; Department of Entomology, The University of California at Davis, Davis, CA 95616, USA; Department of Evolution and Ecology, Center for Population Biology, The University of California at Davis, Davis, CA 95616, USA
*Department of Molecular, Cellular and Biomedical Sciences, The University of New Hampshire, Durham, NH 03801, USA; Department of Ecology Evolution and Marine Biology, The University of California at Santa Barbara, Santa Barbara, CA 93106, USA; Department of Entomology, The University of California at Davis, Davis, CA 95616, USA; Department of Evolution and Ecology, Center for Population Biology, The University of California at Davis, Davis, CA 95616, USA.
Integr Comp Biol. 2014 Jul;54(2):276-83. doi: 10.1093/icb/icu080. Epub 2014 Jun 15.
Advances in sequencing technology have forced a quantitative revolution in Evolutionary Biology. One important feature of this renaissance is that comprehensive genomic resources can be obtained quickly for almost any taxon, thus speeding the development of new model organisms. Here, we analyze 20 RNA-seq libraries from morphologically, sexually, and genetically distinct polyp types from the gonochoristic colonial hydrozoan, Hydractinia symbiolongicarpus (Cnidaria). Analyses of these data using weighted gene co-expression networks highlight deeply conserved genetic elements of animal spermatogenesis and demonstrate the utility of these methods in identifying modules of genes that correlate with different zooid types across various statistical contrasts. RNA-seq data and analytical scripts described here are deposited in publicly available databases.
测序技术的进步推动了进化生物学的定量革命。这场复兴的一个重要特征是，几乎可以快速为任何分类单元获取全面的基因组资源，从而加速了新型模式生物的开发。在这里，我们分析了来自雌雄异体的群体水螅虫（Hydractinia symbiolongicarpus，刺胞动物门）形态、性别和遗传上不同的息肉类型的20个RNA测序文库。使用加权基因共表达网络对这些数据进行分析，突出了动物精子发生中深度保守的遗传元件，并证明了这些方法在识别与不同统计对比中不同类螅体类型相关的基因模块方面的效用。这里描述的RNA测序数据和分析脚本已存入公开可用的数据库。
