Article in Genes & genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 35% of its field
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literature
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
17 authors at 3 institutions in 3 countries.
Wattanawan Jaito *Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand.ORCID 0009-0007-1694-7871
Jumaporn Sonongbua *Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand.ORCID 0000-0002-1113-9097
Thitipong Panthum *Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand.ORCID 0000-0001-7147-1684
Pish WattanadilokcahtkunAnimal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand.ORCID 0000-0003-1773-9795
Nattakan AriyaraphongAnimal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand.ORCID 0000-0002-4551-1168
Thanyapat ThongAnimal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand.ORCID 0000-0003-0650-7665
Worapong SingchatAnimal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand.ORCID 0000-0002-7083-6159
Syed Farhan AhmadAnimal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand.ORCID 0000-0002-6596-0980
Ekaphan KraichakAnimal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand.ORCID 0000-0002-8437-2180
Narongrit MuangmaiAnimal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand.ORCID 0000-0001-7954-7348
Kyudong HanAnimal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand.ORCID 0000-0001-6791-2408
Agostinho AntunesCIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Av. General Norton de Matos, s/n, 4450-208, Porto, Portugal.ORCID 0000-0002-1328-1732
Ratiwan SitdhibutrRaptor Rehabilitation Unit, Kasetsart University Veterinary Teaching Hospital Kamphaengsaen Campus, Nakhon Pathom, 73140, Thailand.ORCID 0000-0003-0501-2839
Akihiko KogaAnimal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand.ORCID 0000-0001-7921-7496
Prateep DuengkaeAnimal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand.ORCID 0000-0002-1550-7977
Chaiyan KasorndorkbuaRaptor Rehabilitation Unit, Kasetsart University Veterinary Teaching Hospital Kamphaengsaen Campus, Nakhon Pathom, 73140, Thailand. chaiyan.k@ku.th.ORCID 0000-0002-2138-9954
Kornsorn SrikulnathAnimal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok, 10900, Thailand. kornsorn.s@ku.ac.th.ORCID 0000-0002-5985-7258
Kasetsart University · THKhon Kaen University · THUniversidade do Porto · PT
Funding
The Graduate grants scholarship of the Faculty of Science, Kasetsart University 6417400239The Higher Education for Industry Consortium (Hi-FI) 6514400931
6 · The paper itself
Abstract
backgroundIn nucleotide public repositories, studies discovered data errors which resulted in incorrect species identification of several accipitrid raptors considered for conservation. Mislabeling, particularly in cases of cryptic species complexes and closely related species, which were identified based on morphological characteristics, was discovered. Prioritizing accurate species labeling, morphological taxonomy, and voucher documentation is crucial to rectify spurious data.
objectiveOur study aimed to identify an effective DNA barcoding tool that accurately reflects the efficiency status of barcodes in raptor species (Accipitridae).
methodsBarcode sequences, including 889 sequences from the mitochondrial cytochrome c oxidase I (COI) gene and 1052 sequences from cytochrome b (Cytb), from 150 raptor species within the Accipitridae family were analyzed.
resultsThe highest percentage of intraspecific nearest neighbors from the nearest neighbor test was 88.05% for COI and 95.00% for Cytb, suggesting that the Cytb gene is a more suitable marker for accurately identifying raptor species and can serve as a standard region for DNA barcoding. In both datasets, a positive barcoding gap representing the difference between inter-and intra-specific sequence divergences was observed. For COI and Cytb, the cut-off score sequence divergences for species identification were 4.00% and 3.00%, respectively.
conclusionGreater accuracy was demonstrated for the Cytb gene, making it the preferred primary DNA barcoding marker for raptors.
Indexed as
DNADNA Barcoding, TaxonomicBase SequenceCytochromes bElectron Transport Complex IVGenes, MitochondrialCytochromes bDNAElectron Transport Complex IVAccipitridaeBarcoding gapMislabeling dataSequence divergenceSpecies delimitation
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Disclosing the hidden nucleotide sequences: a journey into DNA barcoding of raptor species in public repositories. · full record | OpenQuestion