Evidence map›Paper›PMID 35342556›Full record

ArticleEcology and evolution2022

Metagenomic clustering reveals microbial contamination as an essential consideration in ultraconserved element design for phylogenomics with insect museum specimens.

Alex R Van Dam, Javier O Covas Orizondo, Athena W Lam, Duane D McKenna, Matthew H Van Dam

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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

5 authors at 3 institutions in 2 countries.

Alex R Van DamDepartment of Biology University of Puerto Rico Mayagüez Mayagüez Puerto Rico.ORCID https://orcid.org/0000-0002-1966-0338
Javier O Covas OrizondoDepartment of Biology University of Puerto Rico Mayagüez Mayagüez Puerto Rico.
Athena W LamDepartment of Entomology California Academy of Sciences San Francisco California USA.
Duane D McKennaDepartment of Biological Sciences University of Memphis Memphis Tennessee USA.
Matthew H Van DamDepartment of Entomology California Academy of Sciences San Francisco California USA.
California Academy of Sciences · USUniversity of Puerto Rico-Mayaguez · PRUniversity of Memphis · US

Funding

SCIENCE AND TECHNOLOGY COMPETENCY & EDUCATION CORE (STCE)P20GM103475 · NIGMS · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI Jose R. Rodriguez-Medina · 2012 to 2026
$52.9M
NIGMS NIH HHS P20 GM103475
6 · The paper itself

Abstract

Phylogenomics via ultraconserved elements (UCEs) has led to improved phylogenetic reconstructions across the tree of life. However, inadvertently incorporating non-targeted DNA into the UCE marker design will lead to misinformation being incorporated into subsequent analyses. To date, the effectiveness of basic metagenomic filtering strategies has not been assessed in arthropods. Designing markers from museum specimens requires careful consideration of methods due to the high levels of microbial contamination typically found in such specimens. We investigate if contaminant sequences are carried forward into a UCE marker set we developed from insect museum specimens using a standard bioinformatics pipeline. We find that the methods currently employed by most researchers do not exclude contamination from the final set of targets. Lastly, we highlight several paths forward for reducing contamination in UCE marker design.

Indexed as

contaminationinsectsmuseum specimensultraconserved elements

Identifiers

PMID35342556
PMCPMC8932080
OpenAlexW4220978457

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.