Evidence map›Paper›PMID 23563971›Full record

ArticleGenome biology and evolution2013

Genome-wide SNP and population divergence of finless porpoises.

Shuzhen Li, Shixia Xu, Huirong Wan, Heyi Ji, Kaiya Zhou, Gang Yang

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 32% 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, 3 citations in OpenAlex.

  1. Genome-Wide Development and Validation of KASP-Based SNP Markers inAnimals : an open access journal from MDPI · 2026
    Article
  2. Article
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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.

Shuzhen LiJiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, China.
Shixia Xu
Huirong Wan
Heyi Ji
Kaiya Zhou
Gang Yang
Nanjing Normal University · CNNanjing Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single nucleotide polymorphisms (SNPs) are rapidly becoming the population genomic markers in addressing ecology, evolution, and conservation issues for their high capacity to access variability across the genome. We isolated a total of 140 ideal SNPs from the finless porpoise and used 78 (under Hardy-Weinberg equilibrium) of them to conduct those issues especially for addressing population genetic differentiation. Bayesian clustering and principal component analyses all suggested that finless porpoises in Chinese waters could be divided into three distinct genetic groupings. Low levels of within-population genetic variation (mean HE = 0.3405, standard deviation = 0.1188) and significant differentiation among populations (FST = 0.1050-0.1628, P < 0.01) were confirmed. Limited gene flow was found especially between the freshwater Yangtze River porpoise and the oceanic Yellow Sea and South China Sea populations, which strongly suggested that some barriers might have restricted their genetic exchange. These evidences not only support a recent subdivision of the finless porpoise into two species but also suggest a full species status for the Yangtze finless porpoise, especially considering the significant genetic divergence between freshwater and marine porpoises, in combination with the unique distribution of Yangtze finless porpoises in freshwater and their distinctness in physiological and morphological features.

Indexed as

Evolution, MolecularGenomePolymorphism, Single NucleotideAnimalsBayes TheoremChinaGenetic DriftGenetic VariationPorpoises

Identifiers

PMID23563971
PMCPMC3641630
OpenAlexW2108439050

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.