Evidence map›Paper›PMID 34135378›Full record

ArticleScientific reports2021

Recovery and analysis of ancient beetle DNA from subfossil packrat middens using high-throughput sequencing.

Aaron D Smith, Marcin J Kamiński, Kojun Kanda, Andrew D Sweet, Julio L Betancourt, Camille A Holmgren, Elisabeth Hempel, Federica Alberti, Michael Hofreiter

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. The Complete Mitochondrial Genomes ofCurrent issues in molecular biology · 2024
    Article
  4. Article
  5. Article
  6. The complete mitochondrial genome ofMitochondrial DNA. Part B, Resources · 2024
    Article
  7. Review
  8. 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

9 authors.

Aaron D Smith *Department of Entomology, Purdue University, 901 W. State Street, West Lafayette, IN, 47907, USA. pimeliinae@purdue.edu.
Marcin J Kamiński *Department of Entomology, Purdue University, 901 W. State Street, West Lafayette, IN, 47907, USA.
Kojun KandaUSDA Systematic Entomology Laboratory, C/O Smithsonian Institution, National Museum of Natural History, Washington, DC, USA.
Andrew D SweetDepartment of Entomology, Purdue University, 901 W. State Street, West Lafayette, IN, 47907, USA.
Julio L BetancourtScience and Decisions Center, U.S. Geological Survey, Reston, VA, USA.
Camille A HolmgrenDepartment of Geography and Planning, SUNY Buffalo State College, Buffalo, NY, USA.
Elisabeth HempelInstitute for Biochemistry and Biology, University of Potsdam, Potsdam, Germany.
Federica AlbertiInstitute for Biochemistry and Biology, University of Potsdam, Potsdam, Germany.
Michael HofreiterInstitute for Biochemistry and Biology, University of Potsdam, Potsdam, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of ancient DNA is revolutionizing our understanding of paleo-ecology and the evolutionary history of species. Insects are essential components in many ecosystems and constitute the most diverse group of animals. Yet they are largely neglected in ancient DNA studies. We report the results of the first targeted investigation of insect ancient DNA to positively identify subfossil insects to species, which includes the recovery of endogenous content from samples as old as ~ 34,355 ybp. Potential inhibitors currently limiting widespread research on insect ancient DNA are discussed, including the lack of closely related genomic reference sequences (decreased mapping efficiency) and the need for more extensive collaborations with insect taxonomists. The advantages of insect-based studies are also highlighted, especially in the context of understanding past climate change. In this regard, insect remains from ancient packrat middens are a rich and largely uninvestigated resource for exploring paleo-ecology and species dynamics over time.

Indexed as

AnimalsArthropodsDNA, AncientDNA, MitochondrialFossilsGene LibraryHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 28SSequence Analysis, DNASigmodontinaeDNA, AncientDNA, MitochondrialRNA, Ribosomal, 28S

Identifiers

PMID34135378
PMCPMC8209150

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.