Evidence map›Paper›PMID 28184437›Full record

ArticleNucleic acids research2017

An accurate and efficient method for large-scale SSR genotyping and applications.

Lun Li, Zhiwei Fang, Junfei Zhou, Hong Chen, Zhangfeng Hu, Lifen Gao, Lihong Chen, Sheng Ren, Hongyu Ma, Long Lu and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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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

12 authors.

Lun LiInstitute for Systems Biology, Jianghan University, Wuhan, Hubei 430056, China.
Zhiwei FangInstitute for Systems Biology, Jianghan University, Wuhan, Hubei 430056, China.
Junfei ZhouInstitute for Systems Biology, Jianghan University, Wuhan, Hubei 430056, China.
Hong ChenCenter for Development of Science and Technology, Ministry of Agriculture, P.R. China, Beijing 100122, China.
Zhangfeng HuInstitute for Systems Biology, Jianghan University, Wuhan, Hubei 430056, China.
Lifen GaoInstitute for Systems Biology, Jianghan University, Wuhan, Hubei 430056, China.
Lihong ChenInstitute for Systems Biology, Jianghan University, Wuhan, Hubei 430056, China.
Sheng RenDivision of Biomedical Informatics, Cincinnati Children's Hospital Research Foundation, 3333 Burnet Avenue, Cincinnati, OH 45229-3026, USA.
Hongyu MaThermo Fisher Scientific, Building 6, No. 27, Xin Jinqiao Rd., Pudong, Shanghai 201206, China.
Long LuInstitute for Systems Biology, Jianghan University, Wuhan, Hubei 430056, China.
Weixiong ZhangInstitute for Systems Biology, Jianghan University, Wuhan, Hubei 430056, China.
Hai PengInstitute for Systems Biology, Jianghan University, Wuhan, Hubei 430056, China.

Funding

A NOVEL CO-EXPRESSION NETWORK APPROACH THAT IS ROBUST TO GENETIC HETEROGENEITY ANR01GM100364 · NIGMS · WASHINGTON UNIVERSITY · PI ZHANG, WEIXIONG · 2012 to 2015
$1.2M
NIGMS NIH HHS R01 GM100364
6 · The paper itself

Abstract

Accurate and efficient genotyping of simple sequence repeats (SSRs) constitutes the basis of SSRs as an effective genetic marker with various applications. However, the existing methods for SSR genotyping suffer from low sensitivity, low accuracy, low efficiency and high cost. In order to fully exploit the potential of SSRs as genetic marker, we developed a novel method for SSR genotyping, named as AmpSeq-SSR, which combines multiplexing polymerase chain reaction (PCR), targeted deep sequencing and comprehensive analysis. AmpSeq-SSR is able to genotype potentially more than a million SSRs at once using the current sequencing techniques. In the current study, we simultaneously genotyped 3105 SSRs in eight rice varieties, which were further validated experimentally. The results showed that the accuracies of AmpSeq-SSR were nearly 100 and 94% with a single base resolution for homozygous and heterozygous samples, respectively. To demonstrate the power of AmpSeq-SSR, we adopted it in two applications. The first was to construct discriminative fingerprints of the rice varieties using 3105 SSRs, which offer much greater discriminative power than the 48 SSRs commonly used for rice. The second was to map Xa21, a gene that confers persistent resistance to rice bacterial blight. We demonstrated that genome-scale fingerprints of an organism can be efficiently constructed and candidate genes, such as Xa21 in rice, can be accurately and efficiently mapped using an innovative strategy consisting of multiplexing PCR, targeted sequencing and computational analysis. While the work we present focused on rice, AmpSeq-SSR can be readily extended to animals and micro-organisms.

Indexed as

Genome, PlantGenotypeGenotyping TechniquesMicrosatellite RepeatsBase SequenceGenetic MarkersHeterozygoteHigh-Throughput Nucleotide SequencingHomozygoteMolecular Sequence AnnotationMultiplex Polymerase Chain ReactionOryzaPlant ProteinsProtein Serine-Threonine KinasesSequence AlignmentSequence Analysis, DNAGenetic MarkersPlant ProteinsProtein Serine-Threonine KinasesXa21 protein, Oryza sativa

Identifiers

PMID28184437
PMCPMC5449614

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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.