Evidence map›Paper›PMID 37448693›Full record

ArticleBiodiversity data journal2023

DNA barcoding data release for the Phoridae (Insecta, Diptera) of the Halimun-Salak National Park (Java, Indonesia).

Caroline Chimeno, Stefan Schmidt, Hasmiandy Hamid, Raden Pramesa Narakusumo, Djunijanti Peggie, Michael Balke, Bruno Cancian de Araujo

Abstract read
In one paragraph

Article in Biodiversity data journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

7 authors.

Caroline ChimenoSNSB-Zoologische Staatssammlung München, München, Germany SNSB-Zoologische Staatssammlung München München Germany.
Stefan SchmidtSNSB-Zoologische Staatssammlung München, München, Germany SNSB-Zoologische Staatssammlung München München Germany.ORCID https://orcid.org/0000-0001-5751-8706
Hasmiandy HamidDepartment of Plant Protection, Faculty of Agriculture, Universitas Andalas, Padang, Indonesia Department of Plant Protection, Faculty of Agriculture, Universitas Andalas Padang Indonesia.ORCID https://orcid.org/0000-0003-2532-9411
Raden Pramesa NarakusumoMuseum Zoologicum Bogoriense, Research Center for Biosystematics and Evolution, National Research and Innovation Agency (BRIN), Cibinong, Indonesia Museum Zoologicum Bogoriense, Research Center for Biosystematics and Evolution, National Research and Innovation Agency (BRIN) Cibinong Indonesia.ORCID https://orcid.org/0000-0002-3087-6172
Djunijanti PeggieMuseum Zoologicum Bogoriense, Research Center for Biosystematics and Evolution, National Research and Innovation Agency (BRIN), Cibinong, Indonesia Museum Zoologicum Bogoriense, Research Center for Biosystematics and Evolution, National Research and Innovation Agency (BRIN) Cibinong Indonesia.
Michael BalkeSNSB-Zoologische Staatssammlung München, München, Germany SNSB-Zoologische Staatssammlung München München Germany.ORCID https://orcid.org/0000-0002-3773-6586
Bruno Cancian de AraujoSNSB-Zoologische Staatssammlung München, München, Germany SNSB-Zoologische Staatssammlung München München Germany.ORCID https://orcid.org/0000-0002-0562-917X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Launched in 2015, the large-scale initiative Indonesian Biodiversity Discovery and Information System (IndoBioSys) is a multidisciplinary German-Indonesian collaboration with the main goal of establishing a standardised framework for species discovery and all associated steps. One aspect of the project includes the application of DNA barcoding for species identification and biodiversity assessments. In this framework, we conducted a large-scale assessment of the insect fauna of the Mount Halimun-Salak National Park which is one of the largest tropical rain-forest ecosystems left in West Java. In this study, we present the results of processing 5,034 specimens of Phoridae (scuttle flies) via DNA barcoding. Despite limited sequencing success, we obtained more than 500 clusters using different algorithms (RESL, ASAP, SpeciesIdentifier). Moreover, Chao statistics indicated that we drastically undersampled all trap sites, implying that the true diversity of Phoridae is, in fact, much higher. With this data release, we hope to shed some light on the hidden diversity of this megadiverse group of flies.

Indexed as

biodiversityBrachyceraDNA barcodingIndonesiaMalaise trapPhoridaetropical forest

Identifiers

PMID37448693
PMCPMC10336553

What OpenQuestion holds

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Registered trials

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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.