Dissertation Research: Two Independent Nuclear Gene Data Sets, SSU rDNA & vATPase, and Pyrenomycete Evolution

核菌子囊菌已经成为许多研究的主题。 那些提出了系统发育假说的研究 未经测试 绊脚石是缺乏诊断 序号级别以上的字符。 这就是我们的目标 项目来推断关系，即，自然分组， 在传统上被归类为 核菌 这份报告将基于 核编码区（SSU rDNA和 vATP酶）。 两个数据集之间的一致性将很强 支持的关系的问题，而不一致 会质疑这种关系。 由此产生的遗传学将 与以前的研究相比， 从形态学、超微结构和细胞生物学等方面进行了研究。 通过 使用两个独立的分子数据集，我们将能够 区分基因遗传和物种遗传。

Pyrenomycetous ascomycetes have been the subject of numerous studies that have produced phylogenetic hypotheses that remain untested. The stumbling block has been a paucity of diagnostic characters above the ordinal level. It is the goal of this project to infer relationships, i.e., natural groupings, among and within orders of fungi that traditionally have been grouped as pyrenomycetes. This phylogeny will be based upon the nucleotide sequences of both nuclear coding regions (SSU rDNA and vATPase). Congruency between the two data sets will be strong support for the relationships in question, whereas incongruencies will question such relationships. The resulting phylogeny will be compared to those of previous studies that have employed characters from morphology, ultrastructure and cell biology. By using two independent molecular data sets we will be able to discern between the gene phylogenies and the species phylogeny.