Evidence map›Paper›PMID 26137993›Full record

ReviewMolecular ecology2016

Targeted capture in evolutionary and ecological genomics.

Matthew R Jones, Jeffrey M Good

Abstract readReview
In one paragraph

Review in Molecular ecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.

0numbers the graph read from it
0cells of the map it votes in
121citing 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

121 citing papers in PubMed.

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  3. Review
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61 more citing papers are in PubMed but not listed here.

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

2 authors.

Matthew R JonesDivision of Biological Sciences, University of Montana, 32 Campus Dr. HS104, Missoula, MT, 59812, USA.
Jeffrey M GoodDivision of Biological Sciences, University of Montana, 32 Campus Dr. HS104, Missoula, MT, 59812, USA.

Funding

Evolutionary and Functional Genetics of Male Reproduction using Wild Mice as a MoR01GM098536 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DEAN, MATTHEW D · 2012 to 2016
$1.5M
Meiotic sex chromosome inactivation and the developmental basis of hybrid male stR01HD073439 · NICHD · UNIVERSITY OF MONTANA · PI GOOD, JEFFREY · 2012 to 2016
$1.5M
NICHD NIH HHS R01 HD073439NICHD NIH HHS R01HD73439NIGMS NIH HHS R01 GM098536NIGMS NIH HHS R01GM098536
6 · The paper itself

Abstract

The rapid expansion of next-generation sequencing has yielded a powerful array of tools to address fundamental biological questions at a scale that was inconceivable just a few years ago. Various genome-partitioning strategies to sequence select subsets of the genome have emerged as powerful alternatives to whole-genome sequencing in ecological and evolutionary genomic studies. High-throughput targeted capture is one such strategy that involves the parallel enrichment of preselected genomic regions of interest. The growing use of targeted capture demonstrates its potential power to address a range of research questions, yet these approaches have yet to expand broadly across laboratories focused on evolutionary and ecological genomics. In part, the use of targeted capture has been hindered by the logistics of capture design and implementation in species without established reference genomes. Here we aim to (i) increase the accessibility of targeted capture to researchers working in nonmodel taxa by discussing capture methods that circumvent the need of a reference genome, (ii) highlight the evolutionary and ecological applications where this approach is emerging as a powerful sequencing strategy and (iii) discuss the future of targeted capture and other genome-partitioning approaches in the light of the increasing accessibility of whole-genome sequencing. Given the practical advantages and increasing feasibility of high-throughput targeted capture, we anticipate an ongoing expansion of capture-based approaches in evolutionary and ecological research, synergistic with an expansion of whole-genome sequencing.

Indexed as

Biological EvolutionGenetics, PopulationAnimalsChromosome MappingEcologyGenomicsHigh-Throughput Nucleotide SequencingHumansPhenotypePhylogenySequence Analysis, DNAancient DNAdetecting selectiongenetic mappingmetagenomicsnext-generation sequencingphylogenomics

Identifiers

PMID26137993
PMCPMC4823023

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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.