Krivina E S, Temraleeva A D, Bukin Yu S
Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", Pushchino, Moscow region, Russia.
Limnological Institute of the Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia.
Vavilovskii Zhurnal Genet Selektsii. 2022 Feb;26(1):74-85. doi: 10.18699/VJGB-22-11.
In this article, the system of the green microalgal genus Micractinium, based on morphological, physiological, ecological and molecular data, is considered. The main diagnostic species characteristics and the taxonomic placement of some taxa are also discussed. Phylogenetic analysis showed that the genus Micractinium is characterized by high cryptic diversity. The algorithms used for species delimitation had different results on the number of potentially species-level clusters allocated. The ABGD method was less "sensitive". The tree-based approaches GMYC and PTP showed a more feasible taxonomy of the genus Micractinium, being an effective additional tool for distinguishing species. The clustering obtained by the latter two methods is in good congruence with morphological (cell size and shape, ability to form colonies, production of bristles, chloroplast type), physiological (vitamin requirements, reaction to high and low temperatures), molecular (presence of introns, level of genetic differences, presence of CBCs or special features of the secondary structure in ITS1 and ITS2) and ecological characteristics (habitat). The polyphyly of the holotype of the genus M. pusillum as well as M. belenophorum is shown. The intron was effective as an additional tool for distinguishing species, and the results of the intron analysis should be taken into account together with other characteristics. The CBC approach, based on the search for compensatory base changes in conservative ITS2 regions, was successful only for distinguishing cryptic species from "true" members of M. pusillum. Therefore, to distinguish species, it is more effective to take into account all the CBC in ITS1 and ITS2 and analyze characteristic structural differences (molecular signatures) in the secondary structure of internal transcribed spacers. The genetic distances analysis of 18S-ITS1-5.8S-ITS2 nucleotide sequences showed that intraspecific differences in the genus ranged from 0 to 0.5 % and interspecific differences, from 0.6 to 4.7 %. Due to the polyphasic approach, it was possible to characterize 29 clusters and phylogenetic lines at the species level within the genus Micractinium and to make assumptions about the species.
本文基于形态学、生理学、生态学和分子数据,对绿色微藻微小绿球藻属的系统进行了研究。还讨论了一些分类单元的主要诊断物种特征和分类地位。系统发育分析表明,微小绿球藻属具有高度的隐存多样性。用于物种界定的算法在分配的潜在物种水平聚类数量上有不同结果。ABGD方法不太“敏感”。基于树的方法GMYC和PTP显示出更可行的微小绿球藻属分类法,是区分物种的有效辅助工具。后两种方法得到的聚类与形态学(细胞大小和形状、形成菌落的能力、刚毛的产生、叶绿体类型)、生理学(维生素需求、对高温和低温的反应)、分子学(内含子的存在、遗传差异水平、CBC的存在或ITS1和ITS2二级结构的特殊特征)和生态学特征(栖息地)高度一致。显示了微小绿球藻和贝氏微小绿球藻模式标本的多系性。内含子是区分物种的有效辅助工具,内含子分析结果应与其他特征一起考虑。基于在保守ITS2区域寻找补偿性碱基变化的CBC方法仅在区分微小绿球藻“真正”成员中的隐存物种时成功。因此,为了区分物种,考虑ITS1和ITS2中的所有CBC并分析内部转录间隔区二级结构中的特征性结构差异(分子标记)更为有效。对18S-ITS1-5.8S-ITS2核苷酸序列的遗传距离分析表明,该属内种内差异范围为0至0.5%,种间差异为0.6至4.7%。由于采用了多相方法,有可能在微小绿球藻属内的物种水平上表征29个聚类和系统发育谱系,并对物种进行假设。