DNA sequence data enable not only the inference of phylogenetic relationships but also provide an efficient method for species-level identifications under the terms DNA barcoding or DNA taxonomy. In this study, we have sequenced partial sequences of mitochondrial COI and 16S rRNA genes from 63 specimens of 8 species of Pectinidae to assess whether DNA barcodes can efficiently distinguish these species. Sequences from homologous regions of four other species of this family were gathered from GenBank. Comparisons of within and between species levels of sequence divergence showed that genetic variation between species exceeds variation within species. When using neighbour-joining clustering based on COI and 16S genes, all species fell into reciprocally monophyletic clades with high bootstrap values. These evidenced that these scallop species can be efficiently identified by DNA barcoding. Evolutionary relationships of Pectinidae were also examined using the two mitochondrial genes. The results are almost consistent with Waller's classification, which was proposed on the basis of shell microstructure and the morphological characteristics of juveniles.
This study represents the first comprehensive molecular assessment of northwestern Pacific molluscs. In total, 2801 DNA barcodes belonging to 569 species from China, Japan and Korea were analyzed. An overlap between intra- and interspecific genetic distances was present in 71 species. We tested the efficacy of this library by simulating a sequence-based specimen identification scenario using Best Match (BM), Best Close Match (BCM) and All Species Barcode (ASB) criteria with three threshold values. BM approach returned 89.15% true identifications (95.27% when excluding singletons). The highest success rate of congruent identifications was obtained with BCM at 0.053 threshold. The analysis of our barcode library together with public data resulted in 582 Barcode Index Numbers (BINs), 72.2% of which was found to be concordantly with morphology-based identifications. The discrepancies were divided in two groups: sequences from different species clustered in a single BIN and conspecific sequences divided in one more BINs. In Neighbour-Joining phenogram, 2,320 (83.0%) queries fromed 355 (62.4%) species-specific barcode clusters allowing their successful identification. 33 species showed paraphyletic and haplotype sharing. 62 cases are represented by deeply diverged lineages. This study suggest an increased species diversity in this region, highlighting taxonomic revision and conservation strategy for the cryptic complexes.
DNA barcoding is a promising tool for the rapid and unambiguous identification of species. Some arcoid species are particularly difficult to distinguish with traditional morphological identification owing to phenotypic variation and the existence of closely related taxa. Here, we apply DNA barcoding based on mitochondrial cytochrome c oxidase I gene (COI) to arcoid species collected from the coast along China. Combining morphology with molecular data indicates the 133 specimens of Arcoida could be assigned to 24 species. Because of the deep genetic divergence within Tegillarca granosa, there was an overlap between genetic variation within species and variation between species. Nevertheless, NJ and Bayesian trees showed that all species fell into reciprocally monophyletic clades with high bootstrap values. Our results evidence that the COI marker can efficiently identify species, correct mistakes caused by morphological identification and reveal genetic differentiation among populations within species. This study provides a clear example of the usefulness of barcoding for arcoid identification. Furthermore, it also lays a foundation for other biological and ecological studies of Arcoida.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.