Evidence map›Paper›PMID 28931740›Full record

ArticleProceedings. Biological sciences2017

Single-sperm sequencing reveals the accelerated mitochondrial mutation rate in male

Sen Xu, Kenny Van Tran, Swatantra Neupane, Marelize Snyman, Trung Viet Huynh, Way Sung

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
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

6 authors at 2 institutions in 1 country.

Sen XuDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA sen.xu@uta.edu.ORCID http://orcid.org/0000-0002-1304-9968
Kenny Van TranDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.
Swatantra NeupaneDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.
Marelize SnymanDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.
Trung Viet HuynhDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.
Way SungDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.ORCID http://orcid.org/0000-0002-8336-8913
The University of Texas at Arlington · USUniversity of North Carolina at Charlotte · US

Funding

Population Genomics of Daphnia pulexR01GM101672 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI LYNCH, MICHAEL R · 2013 to 2016
$2.3M
NIGMS NIH HHS R01 GM101672
6 · The paper itself

Abstract

Mutation rate in the nuclear genome differs between sexes, with males contributing more mutations than females to their offspring. The male-biased mutation rates in the nuclear genome is most likely to be driven by a higher number of cell divisions in spermatogenesis than in oogenesis, generating more opportunities for DNA replication errors. However, it remains unknown whether male-biased mutation rates are present in mitochondrial DNA (mtDNA). Although mtDNA is maternally inherited and male mtDNA mutation typically does not contribute to genetic variation in offspring, male mtDNA mutations are critical for male reproductive health. In this study, we measured male mtDNA mutation rate using publicly available whole-genome sequences of single sperm of the freshwater microcrustacean

Indexed as

Mutation RateSpermatozoaAnimalsDaphniaDNA, MitochondrialFemaleMaleDNA, Mitochondrialdeleterious mutationssingle cellwhole-genome amplification

Identifiers

PMID28931740
PMCPMC5627210
OpenAlexW2754852738

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.