Evidence map›Paper›PMID 21573248›Full record

ArticlePloS one2011

A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species.

Robert J Elshire, Jeffrey C Glaubitz, Qi Sun, Jesse A Poland, Ken Kawamoto, Edward S Buckler, Sharon E Mitchell

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2,894 papers.

0numbers the graph read from it
0cells of the map it votes in
2,894citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

2,894 citing papers in PubMed.

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  18. Standardized microhaplotype databases and frameworks for assessing and mining crop genetic diversity.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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2,834 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

7 authors.

Robert J ElshireInstitute for Genomic Diversity, Cornell University, Ithaca, New York, United States of America.
Jeffrey C Glaubitz
Qi Sun
Jesse A Poland
Ken Kawamoto
Edward S Buckler
Sharon E Mitchell

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in next generation technologies have driven the costs of DNA sequencing down to the point that genotyping-by-sequencing (GBS) is now feasible for high diversity, large genome species. Here, we report a procedure for constructing GBS libraries based on reducing genome complexity with restriction enzymes (REs). This approach is simple, quick, extremely specific, highly reproducible, and may reach important regions of the genome that are inaccessible to sequence capture approaches. By using methylation-sensitive REs, repetitive regions of genomes can be avoided and lower copy regions targeted with two to three fold higher efficiency. This tremendously simplifies computationally challenging alignment problems in species with high levels of genetic diversity. The GBS procedure is demonstrated with maize (IBM) and barley (Oregon Wolfe Barley) recombinant inbred populations where roughly 200,000 and 25,000 sequence tags were mapped, respectively. An advantage in species like barley that lack a complete genome sequence is that a reference map need only be developed around the restriction sites, and this can be done in the process of sample genotyping. In such cases, the consensus of the read clusters across the sequence tagged sites becomes the reference. Alternatively, for kinship analyses in the absence of a reference genome, the sequence tags can simply be treated as dominant markers. Future application of GBS to breeding, conservation, and global species and population surveys may allow plant breeders to conduct genomic selection on a novel germplasm or species without first having to develop any prior molecular tools, or conservation biologists to determine population structure without prior knowledge of the genome or diversity in the species.

Indexed as

GenotypeHigh-Throughput Nucleotide SequencingHordeumPolymerase Chain ReactionPolymorphism, Single NucleotideSequence Tagged SitesZea mays

Identifiers

PMID21573248
PMCPMC3087801

What OpenQuestion holds

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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.