Evidence map›Paper›PMID 35861927›Full record

ArticleDie Naturwissenschaften2022

Can nuclear aquatic environmental DNA be a genetic marker for the accurate estimation of species abundance?

Toshiaki S Jo, Kenji Tsuri, Hiroki Yamanaka

Abstract read
PubMed Publisher
In one paragraph

Article in Die Naturwissenschaften, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Toshiaki S JoFaculty of Advanced Science and Technology, Ryukoku University, 1-5, Yokotani, Oe-cho, Seta, Otsu City, Shiga, 520-2194, Japan. toshiakijo@gmail.com.
Kenji TsuriGraduate School of Science and Technology, Ryukoku University, 1-5, Yokotani, Oe-cho, Seta, Otsu City, Shiga, 520-2194, Japan.
Hiroki YamanakaFaculty of Advanced Science and Technology, Ryukoku University, 1-5, Yokotani, Oe-cho, Seta, Otsu City, Shiga, 520-2194, Japan.
Ryukoku University · JP

Funding

Environment Research and Technology Development Fund from the Ministry of the Environment, Japan JPMEERF20204004Fund for the Promotion of Joint International Research of JSPS KAKENHI JP19KK0189Grant-in-Aid for Scientific Research of JSPS KAKENHI JP20H03326Japan Society for the Promotion of Science JP22J00439
6 · The paper itself

Abstract

Environmental DNA (eDNA) analysis is a promising tool for the sensitive and effective monitoring of species distribution and abundance. Traditional eDNA analysis has targeted mitochondrial DNA (mtDNA) fragments due to their abundance in cells; however, the quantification may vary depending on cell type and physiology. Conversely, some recent eDNA studies have targeted multi-copy nuclear DNA (nuDNA) fragments, such as ribosomal RNA genes, in water, and reported a higher detectability and more rapid degradation than mitochondrial eDNA (mt-eDNA). These properties suggest that nuclear eDNA (nu-eDNA) may be useful for the accurate estimation of species abundance relative to mt-eDNA, but which remains unclear. In this study, we compiled previous studies and re-analyzed the relationships between mt- and nu-eDNA concentration and species abundance by comparing the R

Indexed as

DNA, EnvironmentalAnimalsDNA, MitochondrialEnvironmental MonitoringGenetic MarkersWaterZebrafishDNA, EnvironmentalDNA, MitochondrialGenetic MarkersWaterAbundance estimationDegradationEnvironmental DNA (eDNA)Nuclear DNAQuantitative real-time PCR (qPCR)R 2

Identifiers

PMID35861927
OpenAlexW4286492133

What OpenQuestion holds

Textmetadata
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.