ArticleGigaScience2017
An expanded mammal mitogenome dataset from Southeast Asia.
Article in GigaScience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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.
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.
Who cites it
20 citing papers in PubMed.
- The First Report of Rhino DNA in Thailand: A Possible Extinct Indian Javan Subspecies,Animals : an open access journal from MDPI · 2025Article
- The complete mitochondrial genome of the silver-backed chevrotain (Mitochondrial DNA. Part B, Resources · 2025Article
- The complete mitochondrial genome of Meller's mongoose (Mitochondrial DNA. Part B, Resources · 2024Article
- Genomics Reveals Complex Population History and Unexpected Diversity of Eurasian Otters (Lutra lutra) in Britain Relative to Genetic Methods.Molecular biology and evolution · 2023Article
- Analysis of the Complete Mitochondrial Genome ofAnimals : an open access journal from MDPI · 2023Article
- Identification of three Asian otter species (Ecology and evolution · 2022Article
- Taxonomic status of otter species in Nakai-Nam Theun National Park, Lao PDR, based on DNA evidence.Ecology and evolution · 2022Article
- Measuring protected-area effectiveness using vertebrate distributions from leech iDNA.Nature communications · 2022Article
- First complete mitochondrial genome of the Saharan striped polecat (Mitochondrial DNA. Part B, Resources · 2022Article
- Genetic structure and ecological niche segregation of Indian gray mongoose (Ecology and evolution · 2021Article
- Characterization of the mitogenomes of long-tailed giant rat,Mitochondrial DNA. Part B, Resources · 2021Article
- The first complete mitochondrial genome data of Geoffroy's rousette,Mitochondrial DNA. Part B, Resources · 2020Article
- Molecular identification and phylogenetic analysis of aMitochondrial DNA. Part B, Resources · 2020Article
- The first complete mitochondrial genome data ofData in brief · 2020Article
- Hair cortisol analyses in different mammal species: choosing the wrong assay may lead to erroneous results.Conservation physiology · 2020Article
- Taxonomic Revision and Evolutionary Phylogeography of Dusky Langur (Zoological studies · 2020Article
- An efficient and robust laboratory workflow and tetrapod database for larger scale environmental DNA studies.GigaScience · 2019Article
- Article
- The complete mitochondrial genome of Asian palm civet (Mitochondrial DNA. Part B, Resources · 2018Article
- An expanded mammal mitogenome dataset from Southeast Asia.GigaScience · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Southeast (SE) Asia is 1 of the most biodiverse regions in the world, and it holds approximately 20% of all mammal species. Despite this, the majority of SE Asia's genetic diversity is still poorly characterized. The growing interest in using environmental DNA to assess and monitor SE Asian species, in particular threatened mammals-has created the urgent need to expand the available reference database of mitochondrial barcode and complete mitogenome sequences. We have partially addressed this need by generating 72 new mitogenome sequences reconstructed from DNA isolated from a range of historical and modern tissue samples. Approximately 55 gigabases of raw sequence were generated. From this data, we assembled 72 complete mitogenome sequences, with an average depth of coverage of ×102.9 and ×55.2 for modern samples and historical samples, respectively. This dataset represents 52 species, of which 30 species had no previous mitogenome data available. The mitogenomes were geotagged to their sampling location, where known, to display a detailed geographical distribution of the species. Our new database of 52 taxa will strongly enhance the utility of environmental DNA approaches for monitoring mammals in SE Asia as it greatly increases the likelihoods that identification of metabarcoding sequencing reads can be assigned to reference sequences. This magnifies the confidence in species detections and thus allows more robust surveys and monitoring programmes of SE Asia's threatened mammal biodiversity. The extensive collections of historical samples from SE Asia in western and SE Asian museums should serve as additional valuable material to further enrich this reference database.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.