Vieira Willie A S, Lima Waléria G, Nascimento Eduardo S, Michereff Sami J, Câmara Marcos P S, Doyle Vinson P
a Departamento de Agronomia , Universidade Federal Rural de Pernambuco , Recife , Pernambuco , Brazil.
b Department of Plant Pathology and Crop Physiology , Louisiana State University AgCenter, Louisiana State University , Baton Rouge , Louisiana 70803.
Mycologia. 2017;109(6):912-934. doi: 10.1080/00275514.2017.1418577. Epub 2018 Mar 1.
Developing a comprehensive and reliable taxonomy for the Colletotrichum gloeosporioides species complex will require adopting data standards on the basis of an understanding of how methodological choices impact morphological evaluations and phylogenetic inference. We explored the impact of methodological choices in a morphological and molecular evaluation of Colletotrichum species associated with banana in Brazil. The choice of alignment filtering algorithm has a significant impact on topological inference and the retention of phylogenetically informative sites. Similarly, the choice of phylogenetic marker affects the delimitation of species boundaries, particularly if low phylogenetic signal is confounded with strong discordance, and inference of the species tree from multiple-gene trees. According to both phylogenetic informativeness profiling and Bayesian concordance analyses, the most informative loci are DNA lyase (APN2), intergenic spacer (IGS) between DNA lyase and the mating-type locus MAT1-2-1 (APN2/MAT-IGS), calmodulin (CAL), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), glutamine synthetase (GS), β-tubulin (TUB2), and a new marker, the intergenic spacer between GAPDH and an hypothetical protein (GAP2-IGS). Cornmeal agar minimizes the variance in conidial dimensions compared with potato dextrose agar and synthetic nutrient-poor agar, such that species are more readily distinguishable based on phenotypic differences. We apply these insights to investigate the diversity of Colletotrichum species associated with banana anthracnose in Brazil and report C. musae, C. tropicale, C. theobromicola, and C. siamense in association with banana anthracnose. One lineage did not cluster with any previously described species and is described here as C. chrysophilum.
为胶孢炭疽菌复合体开发一个全面且可靠的分类系统,需要在理解方法选择如何影响形态学评估和系统发育推断的基础上采用数据标准。我们在对巴西与香蕉相关的炭疽菌属物种进行形态学和分子评估时,探讨了方法选择的影响。比对过滤算法的选择对拓扑推断和系统发育信息位点的保留有重大影响。同样,系统发育标记的选择会影响物种界限的划定,特别是当低系统发育信号与强烈的不一致性混淆时,以及从多基因树推断物种树时。根据系统发育信息分析和贝叶斯一致性分析,信息量最大的基因座是DNA裂解酶(APN2)、DNA裂解酶与交配型基因座MAT1-2-1之间的基因间隔区(APN2/MAT-IGS)、钙调蛋白(CAL)、甘油醛-3-磷酸脱氢酶(GAPDH)、谷氨酰胺合成酶(GS)、β-微管蛋白(TUB2),以及一个新标记,GAPDH与一个假定蛋白之间的基因间隔区(GAP2-IGS)。与马铃薯葡萄糖琼脂和合成贫养琼脂相比,玉米粉琼脂能使分生孢子尺寸的差异最小化,这样基于表型差异就能更轻易地区分物种。我们运用这些见解来研究巴西与香蕉炭疽病相关的炭疽菌属物种的多样性,并报告了与香蕉炭疽病相关的香蕉炭疽菌、热带炭疽菌、可可炭疽菌和暹罗炭疽菌。一个谱系未与任何先前描述的物种聚类,在此被描述为嗜金炭疽菌。