Cleavage patterns and gastrulation as complex characters for phylogenetic inferences in the Metazoa: the early development of Rotifera (II) and Kinorhyncha

卵裂模式和原肠胚形成作为后生动物系统发育推断的复杂特征：轮虫纲 (II) 和动喙纲的早期发展

• 批准号: 5452223
• 负责人: Professor Dr. Gerhard Scholtz
• 金额: --
• 依托单位: Arbeitsgruppe Vergleichende Zoologie
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2005
• 资助国家: 德国
• 起止时间: 2004-12-31 至 2013-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/5452223?language=en
• 关键词: Cleavage; patterns; gastrulation; complex; characters

The analysis of early ontogenetic stages can contribute to the resolution of metazoan phylogenetic relationships. Here we address two questions. One is whether the Rotifera show spiral cleavage or traces thereof as is suggested by the Lophotrochozoa/Spiralia hypothesis or whether they show a cleavage type which is more related to that of Cycloneuralia. The second question deals with the early development of Kinorhyncha and its contribution to the reconstruction of the ancestral ecdysozoan cleavage pattern. Our knowledge about the cleavage pattern and the gastrulation of both groups is still fragmentary. To fill these gaps we want to study the early cleavage patterns, the cell lineages, the cell fates, and the gastrulation modes of representatives of Rotifera and Kinorhyncha in great detail with a variety of methods ranging from histology to 4D-microscopy. Our results will be compared with available data from the literature. In collaboration with the “Deep Metazoan Phylogeny” network, the developmental characters will be defined, conceptualised, fed into a comprehensive morphological data matrix, and eventually used to analyse metazoan phylogenetics.

对早期发生阶段的分析可以有助于分辨出来的系统发育关系。在这里，我们解决了两个问题。其中之一是rotifera是否表现出螺旋裂解或痕迹，如Lophotrochozoa/Spiralia假说所暗示的，还是它们显示出与Cyclonealuria的裂解类型。第二个问题涉及Kinorhyncha的早期发展及其对祖先Ecdysozoan裂解模式重建的贡献。我们对两组的裂解模式和胃的了解仍然是零碎的。为了填补这些空白，我们希望研究早期的裂解模式，细胞谱系，细胞命运以及代表rotifera和kinorhyncha的胃模式，详细介绍了各种方法，从组织学到4D-微观镜检查。我们的结果将与文献的可用数据进行比较。通过与“深层植物学”网络合作，将定义，概念化发展特征，将其定义为全面的形态数据矩阵，并最终用于分析Metazoan系统发育学。