Key Laboratory of Invertebrate Systematics and Application of Hebei Province, College of Life Sciences, Hebei University, Baoding, 071002, Hebei, China.
BMC Evol Biol. 2019 Mar 14;19(1):79. doi: 10.1186/s12862-019-1404-5.
DNA barcoding has been developed as a useful tool for species discrimination. Several sequence-based species delimitation methods, such as Barcode Index Number (BIN), REfined Single Linkage (RESL), Automatic Barcode Gap Discovery (ABGD), a Java program uses an explicit, determinate algorithm to define Molecular Operational Taxonomic Unit (jMOTU), Generalized Mixed Yule Coalescent (GMYC), and Bayesian implementation of the Poisson Tree Processes model (bPTP), were used. Our aim was to estimate Chinese katydid biodiversity using standard DNA barcode cytochrome c oxidase subunit I (COI-5P) sequences.
Detection of a barcoding gap by similarity-based analyses and clustering-base analyses indicated that 131 identified morphological species (morphospecies) were assigned to 196 BINs and were divided into four categories: (i) MATCH (83/131 = 64.89%), morphospecies were a perfect match between morphospecies and BINs (including 61 concordant BINs and 22 singleton BINs); (ii) MERGE (14/131 = 10.69%), morphospecies shared its unique BIN with other species; (iii) SPLIT (33/131 = 25.19%, when 22 singleton species were excluded, it rose to 33/109 = 30.28%), morphospecies were placed in more than one BIN; (iv) MIXTURE (4/131 = 5.34%), morphospecies showed a more complex partition involving both a merge and a split. Neighbor-joining (NJ) analyses showed that nearly all BINs and most morphospecies formed monophyletic cluster with little variation. The molecular operational taxonomic units (MOTUs) were defined considering only the more inclusive clades found by at least four of seven species delimitation methods. Our results robustly supported 61 of 109 (55.96%) morphospecies represented by more than one specimen, 159 of 213 (74.65%) concordant BINs, and 3 of 8 (37.5%) discordant BINs.
Molecular species delimitation analyses generated a larger number of MOTUs compared with morphospecies. If these MOTU splits are proven to be true, Chinese katydids probably contain a seemingly large proportion of cryptic/undescribed taxa. Future amplification of additional molecular markers, particularly from the nuclear DNA, may be especially useful for specimens that were identified here as problematic taxa.
DNA 条形码已被开发为一种用于物种鉴定的有用工具。几种基于序列的物种界定方法,如条形码索引编号 (BIN)、精炼单链接 (RESL)、自动条形码间隙发现 (ABGD)、一个使用明确、确定算法来定义分子操作分类单元 (jMOTU) 的 Java 程序、广义混合 Yule 合并 (GMYC) 和泊松树过程模型的贝叶斯实现 (bPTP),都被使用。我们的目的是使用标准的 DNA 条形码细胞色素 c 氧化酶亚基 I (COI-5P) 序列来估计中国蝉的生物多样性。
基于相似性分析和聚类分析的条形码间隙检测表明,131 种鉴定形态的物种 (形态种) 被分配到 196 个 BIN 中,并分为四类:(i) MATCH (83/131=64.89%),形态种与 BIN 之间完全匹配 (包括 61 个一致的 BIN 和 22 个单型 BIN);(ii) MERGE (14/131=10.69%),形态种与其独特的物种共享 BIN;(iii) SPLIT (33/131=25.19%,当排除 22 个单型种时,上升到 33/109=30.28%),形态种被放置在一个以上的 BIN 中;(iv) MIXTURE (4/131=5.34%),形态种显示出更复杂的分区,既涉及合并又涉及分裂。邻接法 (NJ) 分析表明,几乎所有的 BIN 和大多数形态种都形成了单系聚类,变化很小。仅考虑到至少有七种物种界定方法中的四种方法发现的更具包容性的分支,定义了分子操作分类单元 (MOTUs)。我们的结果强有力地支持了由超过一个标本代表的 61 种 (55.96%) 形态种、213 个 (74.65%) 一致的 BIN 和 8 个 (37.5%) 不一致的 BIN。
分子物种界定分析产生的 MOTUs 数量比形态种多。如果这些 MOTU 分裂被证明是真实的,中国蝉可能包含了相当大比例的隐密/未描述的类群。未来扩增额外的分子标记,特别是来自核 DNA 的标记,对于那些在这里被鉴定为有问题的类群的标本可能特别有用。