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Singleton molecular species delimitation based on COI-5P barcode sequences revealed high cryptic/undescribed diversity for Chinese katydids (Orthoptera: Tettigoniidae).
Zhou, Zhijun; Guo, Huifang; Han, Li; Chai, Jinyan; Che, Xuting; Shi, Fuming.
Afiliação
  • Zhou Z; Key Laboratory of Invertebrate Systematics and Application of Hebei Province, College of Life Sciences, Hebei University, Baoding, 071002, Hebei, China. zhijunzhou@163.com.
  • Guo H; Key Laboratory of Invertebrate Systematics and Application of Hebei Province, College of Life Sciences, Hebei University, Baoding, 071002, Hebei, China.
  • Han L; Key Laboratory of Invertebrate Systematics and Application of Hebei Province, College of Life Sciences, Hebei University, Baoding, 071002, Hebei, China.
  • Chai J; Key Laboratory of Invertebrate Systematics and Application of Hebei Province, College of Life Sciences, Hebei University, Baoding, 071002, Hebei, China.
  • Che X; Key Laboratory of Invertebrate Systematics and Application of Hebei Province, College of Life Sciences, Hebei University, Baoding, 071002, Hebei, China.
  • Shi F; Key Laboratory of Invertebrate Systematics and Application of Hebei Province, College of Life Sciences, Hebei University, Baoding, 071002, Hebei, China. shif_m@126.com.
BMC Evol Biol ; 19(1): 79, 2019 03 14.
Article em En | MEDLINE | ID: mdl-30871464
BACKGROUND: 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. RESULTS: 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. CONCLUSIONS: 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ortópteros / Biodiversidade / Código de Barras de DNA Taxonômico Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ortópteros / Biodiversidade / Código de Barras de DNA Taxonômico Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article