Evidence map›Paper›PMID 29238535›Full record

ArticleEcology and evolution2017

A workflow of massive identification and application of intron markers using snakes as a model.

Jiang-Ni Li, Chong He, Peng Guo, Peng Zhang, Dan Liang

Abstract read
In one paragraph

Article in Ecology and evolution, 2017. 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
–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

4 citing papers in PubMed.

  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.

Jiang-Ni LiState Key Laboratory of Biocontrol College of Ecology and Evolution School of Life Sciences Sun Yat-sen University Guangzhou China.ORCID 0000-0003-1642-0328
Chong HeState Key Laboratory of Biocontrol College of Ecology and Evolution School of Life Sciences Sun Yat-sen University Guangzhou China.
Peng GuoCollege of Life Sciences and Food Engineering Yibin University Yibin China.
Peng ZhangState Key Laboratory of Biocontrol College of Ecology and Evolution School of Life Sciences Sun Yat-sen University Guangzhou China.
Dan LiangState Key Laboratory of Biocontrol College of Ecology and Evolution School of Life Sciences Sun Yat-sen University Guangzhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Relative to the commonly used mitochondrial and nuclear protein-coding genes, the noncoding intron sequences are a promising source of informative markers that have the potential to resolve difficult phylogenetic nodes such as rapid radiations and recent divergences. Yet many issues exist in the use of intron markers, which prevent their extensive application as conventional markers. We used the diverse group of snakes as an example to try paving the way for massive identification and application of intron markers. We performed a series of bioinformatics screenings which identified appropriate introns between single-copy and conserved exons from two snake genomes, adding particular constraints on sequence length variability and sequence variability. A total of 1,273 candidate intron loci were retrieved. Primers for nested polymerase chain reaction (PCR) were designed for over a hundred candidates and tested in 16 snake representatives. 96 intron markers were developed that could be amplified across a broad range of snake taxa with high PCR successful rates. The markers were then applied to 49 snake samples. The large number of amplicons was subjected to next-generation sequencing (NGS). An analytic strategy was developed to accurately recover the amplicon sequences, and approximately, 76% of the marker sequences were recovered. The average

Indexed as

GloydiusintronnoncodingphylogenySerpentes

Identifiers

PMID29238535
PMCPMC5723593

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.