Evidence map›Paper›PMID 28144247›Full record

ArticleFrontiers in plant science2016

Simultaneous Identification of Multiple Causal Mutations in Rice.

Wei Yan, Zhufeng Chen, Jiawei Lu, Chunjue Xu, Gang Xie, Yiqi Li, Xing Wang Deng, Hang He, Xiaoyan Tang

Abstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Advances in mutant characterization for detecting causal mutations in crop plants.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  18. Transgenerational effects of elevated COPlant molecular biology · 2022
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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

9 authors.

Wei YanCollege of Life Sciences, Capital Normal University Beijing, China.
Zhufeng ChenShenzhen Institute of Molecular Crop Design Shenzhen, China.
Jiawei LuShenzhen Institute of Molecular Crop Design Shenzhen, China.
Chunjue XuShenzhen Institute of Molecular Crop Design Shenzhen, China.
Gang XieShenzhen Institute of Molecular Crop Design Shenzhen, China.
Yiqi LiShenzhen Institute of Molecular Crop Design Shenzhen, China.
Xing Wang DengShenzhen Institute of Molecular Crop DesignShenzhen, China; College of Life Sciences, Peking UniversityBeijing, China.
Hang HeCollege of Life Sciences, Peking University Beijing, China.
Xiaoyan TangShenzhen Institute of Molecular Crop DesignShenzhen, China; Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, College of Life Sciences, South China Normal UniversityGuangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing technologies (NGST) are being used to discover causal mutations in ethyl methanesulfonate (EMS)-mutagenized plant populations. However, the published protocols often deliver too many candidate sites and sometimes fail to find the mutant gene of interest. Accurate identification of the causal mutation from massive background polymorphisms and sequencing deficiencies remains challenging. Here we describe a NGST-based method, named SIMM, that can simultaneously identify the causal mutations in multiple independent mutants. Multiple rice mutants derived from the same parental line were back-crossed, and for each mutant, the derived F2 individuals of the recessive mutant phenotype were pooled and sequenced. The resulting sequences were aligned to the Nipponbare reference genome, and single nucleotide polymorphisms (SNPs) were subsequently compared among the mutants. Allele index (AI) and Euclidean distance (ED) were incorporated into the analysis to reduce noises caused by background polymorphisms and re-sequencing errors. Corrections of sequence bias against GC- and AT-rich sequences in the candidate region were conducted when necessary. Using this method, we successfully identified seven new mutant alleles from Huanghuazhan (HHZ), an elite

Indexed as

allele indexEuclidean distancenext-generation sequencing technologysequence correctionSIMMsingle nucleotide polymorphismSNP index

Identifiers

PMID28144247
PMCPMC5239786

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.