The study of biodiversity is a priority task of biological science. The structural unit of biodiversity is a species that has a clear identification in a taxonomic system. Morphological features are traditionally the main criteria for species discrimination in zoological studies. However, the presence of inter‐ and intraspecific polymorphism and phenotypic plasticity makes it difficult to identify species in many groups of invertebrates. To solve this problem, in this research, we analyzed morphological and genetic data in combination to delimit species among the Eastern Siberia Glossiphonia leeches using different approaches. Morphology analysis revealed phenetically distinct groups, suggesting the existence of at least two species in the region, G. verrucata, a rare Palaearctic species, and a potentially new species Glossiphonia sp. Moreover, sequence‐based species delimitation methods congruently supported eight distinct species groups (including two Siberian species) within the available molecular dataset of the Glossiphonia world fauna, using phylogenetic (ML and BI), coalescent (ABGD and GMYC) methods, and pairwise analysis of sequences. The detected p‐distances (modal value of 0.11) between these 8 groups and the level of genetic polymorphism (max. 0.0041) within groups indicate that the groups are 8 independent species according to the DNA barcoding. Our results once again proved the usefulness of molecular systematics. At the same time, we detected several inaccuracies in the leech species identification, as well as many ambiguous sites in sequences uploaded on GenBank, which affects the analysis and impedes progress of DNA barcoding technology.
Proper taxonomic identification is essential for biological research. Unfortunately, there are no clear guidelines for taxonomic assignment above the species level. Here, we present a novel approach—GBTD—to the use of genetic divergence to evaluate the taxonomic position of certain samples with simultaneous estimation of the current systematics correctness. This approach includes measuring the raw and model-adjusted distances between DNA sequences and attributing them to the lowest taxonomic levels that are common in sample pairs to reveal distance distributions matching different taxonomic levels (species, genus, family etc.). GBTD facilitated the reassessment of the taxonomic position of the samples, whose genetic distances relative to other samples in the dataset did not match their taxonomic divergence. A data set of complete mitochondrial genome sequences of segmented worms was chosen to test this approach. As a result, numerous inconsistencies in the systematics of samples from GenBank were pointed out. These inconsistencies included both the oversplitting and overlumping of individuals into taxa of different levels and clear cases of misidentification. Our approach sparks re-evaluation of the current systematics where traditional methods fail to provide sufficient resolution.
In this study, we assembled a complete mitochondrial genome of the Acanthobdella peledina sample from the Pitea River, Sweden. Thirty-six genes of the mitogenome sequence were identified, including 13 protein-coding genes (PCGs), 2 ribosomal genes (12S and 16S), 21 transport RNA genes, and 1 control region. The complete mitogenome is 14,640 bp long and A þ T biased (70.59%).
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