Molecular diversity of Uzbekistan's fishes assessed with DNA barcoding

Delimiting species, revealing cryptic diversity in Molytinae (Coleoptera: Curculionidae) weevil through DNA barcoding

The subfamily Molytinae (Coleoptera: Curculionidae), being the second largest group within the family Curculionidae, exhibits a diverse range of hosts and poses a serious threat to agricultural and forestry industries. We used 1,290 cytochrome c oxidase subunit I (COI) barcodes to assess the efficiency of COI barcodes in species differentiation and uncover cryptic species diversity within weevils of Molytinae. The average Kimura 2-parameter distances within species, genus, and subfamily were 2.90%, 11.0%, and 22.26%, respectively, indicating significant genetic differentiation at both levels. Moreover, there exists a considerable degree of overlap between intraspecific (0%-27.50%) and interspecific genetic distances (GDs; 0%-39.30%). The application of Automatic barcode gap discovery, Assemble Species by Automatic Partitioning, Barcode Index Number, Poisson Tree Processes (PTP), Bayesian Poisson Tree Processes (bPTP), and jMOTU resulted in the identification of 279, 275, 494, 322, 320, and 279 molecular operational taxonomic units, respectively. The integration of 6 methods successfully delimited species of Molytinae in 86.6% of all examined morphospecies, surpassing a threshold value of 3% GD (73.0%). A total of 28 morphospecies exhibiting significant intraspecific divergences were assigned to multiple MOTUs, respectively, suggesting the presence of cryptic diversity or population divergence. The identification of cryptic species within certain morphological species in this study necessitates further investigation through comprehensive taxonomic practices in the future.

Quality control of fighting fish nucleotide sequences in public repositories reveals a dark matter of systematic taxonomic implication

BACKGROUND

The number of nucleotide sequences in public repositories has exploded recently. However, the data contain errors, leading to incorrect species identification. Several fighting fish (Betta spp.) are poorly described, with unresolved cryptic species complexes masking undescribed species. Here, DNA barcoding was used to detect erroneous sequences in public repositories.

OBJECTIVE

This study reflects the current quantitative and qualitative status of DNA barcoding in fighting fish and provides a rapid and reliable identification tool.

METHODS

A total of 1034 barcode sequences were analyzed from mitochondrial cytochrome c oxidase I (COI) and cytochrome b (Cytb) genes from 71 fighting fish species.

RESULTS

The nearest neighbor test showed the highest percentage of intraspecific nearest neighbors at 93.41% for COI and 91.67% for Cytb, which can be used as reference barcodes for certain taxa. Intraspecific variation was usually less than 13%, while most species differed by more than 54%. The barcoding gap, calculated from the difference between inter- and intraspecific sequence divergences, was negative in the COI data set indicating overlapping intra- and interspecific sequence divergence. Sequence saturation was observed in the Cytb data set but not in the COI data set.

CONCLUSION

The COI gene should thus be used as the main barcoding marker for fighting fish.

DNA Barcoding of Fish Species Diversity in Guizhou, China

Guizhou is an important ecological barrier in the upper reaches of the Yangtze River and the Pearl River basins with abundant fish species. However, fish from these regions are threatened by anthropogenic activities, including overfishing and habitat destruction. Here, we assessed the fish diversity including more than half of the species from the region using DNA barcoding (partial sequence of cytochrome c oxidase subunit I (COI) gene). We obtained 800 mitochondrial COI barcode sequences from 82 genera, 18 families and 8 orders of fishes. The average Kimura two-parameter (K2P) distances within species and genera were 0.35% and 5.44%, respectively. The average interspecific distance was 15.54 times higher than the mean intraspecific distance. Moreover, DNA barcodes revealed 175 operational taxonomic units (OTUs) based on consensus demarcation schemes. Barcoding gaps were detected in 94.81% of morphospecies. Three fish species (Schistura fasciolata, Vanmanenia pingchowensis, and Misgurnus dabryanus) have considerable intraspecific variability, and each was divided into multiple molecular operational taxonomic units (MOTUs) using molecular definition methods (Automatic Barcode Gap Discovery, Refined Single Linkage, General Mixed Yule Coalescent, and Poisson Tree Processes), possibly indicating the occurrence of cryptic species. Altogether, our study reveals the complex diversity of fish species in Guizhou Province, serving as a reference for the conservation and monitoring of fish species in this region.

Triplophysadaryoae, a new nemacheilid loach species (Teleostei, Nemacheilidae) from the Syr Darya River basin, Central Asia

Triplophysadaryoae, new species, is described from the Sokh River, a former tributary of Syr Darya that today fails to reach the river, in the Sokh District, an exclave of Uzbekistan, surrounded by Kyrgyzstan. Triplophysadaryoae is distinguished from other species of Triplophysa in Central Asia by a truncate caudal fin with 13 or 14 branched rays, body without obvious mottling, dorsal-fin origin opposite to pelvic-fin insertion, and absence of the posterior chamber of the air bladder. Molecular data suggest that Triplophysadaryoae is closely related to T.ferganaensis from the Shakhimardan stream, a small tributary of Syr Darya in the Yordon village, another exclave of Uzbekistan in Kyrgyzstan. The two species were separated by a Kimura 2-parameter genetic distance of 2.8% in the mitochondrial DNA cytochrome c oxidase subunit I barcode region; they are also distinguished morphologically. A key to the species of Triplophysa in the Syr Darya basin and adjacent regions is provided.

Mitochondrial DNA barcoding of mosquito species (Diptera: Culicidae) in Thailand

The correct identification of mosquito species is important for effective mosquito vector control. However, the standard morphological identification of mosquito species based on the available keys is not easy with specimens in the field due to missing or damaged morphological features during mosquito collections, often leading to the misidentification of morphologically indistinguishable. To resolve this problem, we collected mosquito species across Thailand to gather genetic information, and evaluated the DNA barcoding efficacy for mosquito species identification in Thailand. A total of 310 mosquito samples, representing 73 mosquito species, were amplified using mitochondrial cytochrome c oxidase subunit I (COI) primers. The average maximum intraspecific genetic variation of the 73 mosquito species was 1% ranged from 0–5.7%. While, average minimum interspecific genetic variation (the distance to the nearest neighbour) of the 73 mosquito species was 7% ranged from 0.3–12.9%. The identification of success rates based on the “Best Match,” “Best Close Match,” and “All Species Barcodes” methods were 97.7%, 91.6%, and 81%, respectively. Phylogenetic analyses of Anopheles COI sequences demonstrated a clear separation between almost all species (except for those between An. baimaii and An. dirus), with high bootstrap support values (97%–99%). Furthermore, phylogenetic analyses revealed potential sibling species of An. annularis, An. tessellatus, and An. subpictus in Thailand. Our results indicated that DNA barcoding is an effective molecular approach for the accurate identification of mosquitoes in Thailand.