Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 42Fish Biology and Ecology StudiesEnvironmental DNA in Biodiversity StudiesInvertebrate Taxonomy and Ecology

The DOI matches its Crossref record; 86 of the 99 references it cites were found in a registry or an index.

Molecular diversity of Uzbekistan’s fishes assessed with DNA barcoding

Open access
Sheraliev, Bakhtiyor, Peng, Zuogang·2021·Scientific Reports
DOI 10.1038/s41598-021-96487-1PMC PMC8376971

Published version of a preprint

Open this paper in CoChat — free accountOpen PDF

Abstract

Uzbekistan is one of two doubly landlocked countries in the world, where all rivers are endorheic basins. Although fish diversity is relatively poor in Uzbekistan, the fish fauna of the region has not yet been fully studied. The aim of this study was to establish a reliable barcoding reference database for fish in Uzbekistan. A total of 666 specimens, belonging to 59 species within 39 genera, 17 families, and 9 orders, were subjected to polymerase chain reaction amplification in the barcode region and sequenced. The length of the 666 barcodes was 682 bp. The average K2P distances within species, genera, and families were 0.22%, 6.33%, and 16.46%, respectively. The average interspecific distance was approximately 28.8 times higher than the mean intraspecific distance. The Barcode Index Number (BIN) discordance report showed that 666 specimens represented 55 BINs, of which five were singletons, 45 were taxonomically concordant, and five were taxonomically discordant. The barcode gap analysis demonstrated that 89.3% of the fish species examined could be discriminated by DNA barcoding. These results provide new insights into fish diversity in the inland waters of Uzbekistan and can provide a basis for the development of further studies on fish fauna.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41598-021-96487-1

Cites

86 of 86 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Barcoding gap: Maximum intraspecific Kimura 2-parameter (K2P) distances compared with the minimum interspecific K2P distances recorded in fish from Uzbekistan. The graphs show the overlap of the maximum and mean intra-specific distances with the inter-specific (NN = nearest neighbor) distances.
Figure 1 Barcoding gap: Maximum intraspecific Kimura 2-parameter (K2P) distances compared with the minimum interspecific K2P distances recorded in fish from Uzbekistan. The graphs show the overlap of the maximum and mean intra-specific distances with the inter-specific (NN = nearest neighbor) distances.CC BY · PubMed Central
Figure 2 Neighbour-joining tree of Opsariichthys bidens from DNA barcode sequences with 100 000 bootstrapping replicates. Sampling localities: Syr Darya (green circle), Chirchik River (red square), and Surkhan Darya (blue triangle).
Figure 2 Neighbour-joining tree of Opsariichthys bidens from DNA barcode sequences with 100 000 bootstrapping replicates. Sampling localities: Syr Darya (green circle), Chirchik River (red square), and Surkhan Darya (blue triangle).CC BY · PubMed Central
Figure 3 Bayesian inference (BI) consensus tree based on the COI partial gene sequences. The blue circle at nodes represents BI posterior probabilities values > 50%. Posterior probability values for all species are > 95%.
Figure 3 Bayesian inference (BI) consensus tree based on the COI partial gene sequences. The blue circle at nodes represents BI posterior probabilities values > 50%. Posterior probability values for all species are > 95%.CC BY · PubMed Central
Figure 4 Neighbour-joining tree of Dzihunia spp. from DNA barcode sequences with 100,000 bootstrapping replicates. Sampling localities: lower Surkhan Darya (red circle) upper Surkhan Darya (yellow circle), Sherabad River (blue triangle) and Chirchik River (green diamond).
Figure 4 Neighbour-joining tree of Dzihunia spp. from DNA barcode sequences with 100,000 bootstrapping replicates. Sampling localities: lower Surkhan Darya (red circle) upper Surkhan Darya (yellow circle), Sherabad River (blue triangle) and Chirchik River (green diamond).CC BY · PubMed Central
Figure 5 Map of sampling sites in Uzbekistan, 2016–2020. A symbol may cover more than one sampling site. The map was constructed in QGIS 2.18.27 (QGIS Development Team, 2018. QGIS Geographic Information System. Open Source Geospatial Foundation. http://qgis.org), using free vector and raster map data made available by Wikimedia maps beta (https://maps.wikimedia.org/). All maps are in the public domain (https://maps.wikimedia.org/).
Figure 5 Map of sampling sites in Uzbekistan, 2016–2020. A symbol may cover more than one sampling site. The map was constructed in QGIS 2.18.27 (QGIS Development Team, 2018. QGIS Geographic Information System. Open Source Geospatial Foundation. http://qgis.org), using free vector and raster map data made available by Wikimedia maps beta (https://maps.wikimedia.org/). All maps are in the public domain (https://maps.wikimedia.org/).CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 99 references

Research works printed but not linked: 8

  1. Ratnasingham, S. & Hebert, P. D. N. BOLD: The barcode of life data system. Mol. Ecol. Notes 7, 355–364 (2007). · DOI · Paper page
  2. Mirabdullaev, I. M. & Mullabaev, N. R. Ichthyofauna of Uzbekistan: Modern state and taxonomy. J. Biol. Uzbekistan 5, 43–49 (2020) (In Russian with English abstract).
  3. Atamuratova, M. S. Ichthyofauna of reservoirs in the Akhangaran river basin. (Ph.D. dissertation, Institute of Zoology, Tashkent, Uzbekistan, 2021) (In Uzbek).
  4. Berg, L. S. Fishes of Fresh Waters of the USSR and Adjacent Countries. Vol. 2. (Academy of Sciences of the USSR Press, 1949) (In Russian).
  5. Turdakov, F. A. Fishes of Kirghizia (Academy of Sciences of the Kyrgyz SSR Press, 1963) (In Russian).
  6. Prokofiev, A. M. Loaches of the subfamily Nemacheilinae of the World (Filigran, 2017) (In Russian).
  7. Berg, L. S. The Freshwater Fishes of the USSR and Adjacent Countries (Academy of Sciences of the USSR Press, 1948) (In Russian).
  8. Mirabdullaev, I. M., Mirzaev, U. T., Kuzmetov, A. R. & Kimsanov, Z. O. Keys to Fishes of Uzbekistan and Adjacent Regions (Sano-Standard Press, 2011) (In Uzbek).

Cited by

See all 42

Metadata

Authors
Sheraliev, B., & Peng, Z.
Affiliations
Southwest University (CN)
Corresponding author
Peng, Zuogang
ORCID
Venue
Scientific Reports
Publisher
Springer Science and Business Media LLC
Published
2021-08-19
Volume
11
Issue
1
Pages
16894-16894
ISSN
2045-2322 (ISSN-L)
DOI
10.1038/s41598-021-96487-1
PMC
PMC8376971
OpenAlex
W3195447945
Cited by
42
References
99
Citations by year
2026: 10 · 2025: 11 · 2024: 8 · 2023: 5 · 2022: 8
FWCI
3.82
Type
journal article
Language
en
Open access
Licence
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Foundation for Innovative Research Groups of the National Natural Science Foundation of China (31872204)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Fish Biology and Ecology Studies
  • Physical Sciences › Environmental Science › Ecology › Environmental DNA in Biodiversity Studies
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Invertebrate Taxonomy and Ecology
Keywords
fish diversity, DNA barcoding, endorheic basin, landlocked countries, Barcode Index Number, barcode gap analysis, species identification, molecular taxonomy, inland waters
MeSH terms
Animals, Bayes Theorem, Electron Transport Complex IV, Fishes, Geography, Phylogeny, Species Specificity, Uzbekistan, Genetic Variation, Sample Size, DNA Barcoding, Taxonomic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Molecular diversity of Uzbekistan’s fishes assessed with DNA barcoding. https://app.cochat.ai/papers/10.1038/s41598-021-96487-1
The paper
Sheraliev, B., & Peng, Z. (2021). Molecular diversity of Uzbekistan’s fishes assessed with DNA barcoding. Scientific Reports. https://doi.org/10.1038/s41598-021-96487-1

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.