Evidence map›Paper›PMID 29242627›Full record

ArticleScientific reports2017

Adding loci improves phylogeographic resolution in red mangroves despite increased missing data: comparing microsatellites and RAD-Seq and investigating loci filtering.

Richard G J Hodel, Shichao Chen, Adam C Payton, Stuart F McDaniel, Pamela Soltis, Douglas E Soltis

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
9.8field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 130 citations in OpenAlex.

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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 3 institutions in 2 countries.

Richard G J HodelDepartment of Biology University of Florida, Gainesville, FL, 32611, USA. richiehodel@gmail.com.ORCID 0000-0002-2896-4907
Shichao ChenFlorida Museum of Natural History University of Florida, Gainesville, FL, 32611, USA.
Adam C PaytonDepartment of Biology University of Florida, Gainesville, FL, 32611, USA.
Stuart F McDanielDepartment of Biology University of Florida, Gainesville, FL, 32611, USA.
Pamela SoltisFlorida Museum of Natural History University of Florida, Gainesville, FL, 32611, USA.ORCID 0000-0001-9310-8659
Douglas E SoltisDepartment of Biology University of Florida, Gainesville, FL, 32611, USA.
Florida Museum of Natural History · USTongji University · CNUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread adoption of RAD-Seq data in phylogeography means genealogical relationships previously evaluated using relatively few genetic markers can now be addressed with thousands of loci. One challenge, however, is that RAD-Seq generates complete genotypes for only a small subset of loci or individuals. Simulations indicate that loci with missing data can produce biased estimates of key population genetic parameters, although the influence of such biases in empirical studies is not well understood. Here we compare microsatellite data (8 loci) and RAD-Seq data (six datasets ranging from 239 to 25,198 loci) from red mangroves (Rhizophora mangle) in Florida to evaluate how different levels of data filtering influence phylogeographic inferences. For all datasets, we calculated population genetic statistics and evaluated population structure, and for RAD-Seq datasets, we additionally examined population structure using coalescence. We found higher F

Indexed as

Sequence AnalysisGenetic LociGenomicsMicrosatellite RepeatsPhylogeographyPrincipal Component AnalysisRhizophoraceae

Identifiers

PMID29242627
PMCPMC5730610
OpenAlexW2773628088

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.