Evidence map›Paper›PMID 21272354›Full record

ArticleBMC genomics2011

Model SNP development for complex genomes based on hexaploid oat using high-throughput 454 sequencing technology.

Rebekah E Oliver, Gerard R Lazo, Joseph D Lutz, Marc J Rubenfield, Nicholas A Tinker, Joseph M Anderson, Nicole H Wisniewski Morehead, Dinesh Adhikary, Eric N Jellen, P Jeffrey Maughan and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 94 citations in OpenAlex.

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  17. Identification of RFLP and NBS/PK profiling markers for disease resistance loci in genetic maps of oats.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013
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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

18 authors at 10 institutions in 2 countries.

Rebekah E OliverUSDA-ARS, Small Grains and Potato Germplasm Research Unit, Aberdeen, ID, USA.
Gerard R Lazo
Joseph D Lutz
Marc J Rubenfield
Nicholas A Tinker
Joseph M Anderson
Nicole H Wisniewski Morehead
Dinesh Adhikary
Eric N Jellen
P Jeffrey Maughan
Gina L Brown Guedira
Shiaoman Chao
Aaron D Beattie
Martin L Carson
Howard W Rines
Donald E Obert
J Michael Bonman
Eric W Jackson
Agricultural Research Service · USBrigham Young University · USAgriculture and Agri-Food Canada · CABeckman Coulter Foundation · USCereal Disease Laboratory · USEdward T. Schafer Agricultural Research Center · USGeneral Mills (United States) · USPurdue University West Lafayette · USUniversity of Minnesota · USUniversity of Saskatchewan · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic markers are pivotal to modern genomics research; however, discovery and genotyping of molecular markers in oat has been hindered by the size and complexity of the genome, and by a scarcity of sequence data. The purpose of this study was to generate oat expressed sequence tag (EST) information, develop a bioinformatics pipeline for SNP discovery, and establish a method for rapid, cost-effective, and straightforward genotyping of SNP markers in complex polyploid genomes such as oat.

resultsBased on cDNA libraries of four cultivated oat genotypes, approximately 127,000 contigs were assembled from approximately one million Roche 454 sequence reads. Contigs were filtered through a novel bioinformatics pipeline to eliminate ambiguous polymorphism caused by subgenome homology, and 96 in silico SNPs were selected from 9,448 candidate loci for validation using high-resolution melting (HRM) analysis. Of these, 52 (54%) were polymorphic between parents of the Ogle1040 × TAM O-301 (OT) mapping population, with 48 segregating as single Mendelian loci, and 44 being placed on the existing OT linkage map. Ogle and TAM amplicons from 12 primers were sequenced for SNP validation, revealing complex polymorphism in seven amplicons but general sequence conservation within SNP loci. Whole-amplicon interrogation with HRM revealed insertions, deletions, and heterozygotes in secondary oat germplasm pools, generating multiple alleles at some primer targets. To validate marker utility, 36 SNP assays were used to evaluate the genetic diversity of 34 diverse oat genotypes. Dendrogram clusters corresponded generally to known genome composition and genetic ancestry.

conclusionsThe high-throughput SNP discovery pipeline presented here is a rapid and effective method for identification of polymorphic SNP alleles in the oat genome. The current-generation HRM system is a simple and highly-informative platform for SNP genotyping. These techniques provide a model for SNP discovery and genotyping in other species with complex and poorly-characterized genomes.

Indexed as

AvenaComputational BiologyExpressed Sequence TagsGenome, PlantGenotypePolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID21272354
PMCPMC3041746
OpenAlexW1978794870

What OpenQuestion holds

Textmetadata
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.