Evidence map›Paper›PMID 30545055›Full record

ReviewInternational journal of molecular sciences2018

Whole Genome Resequencing from Bulked Populations as a Rapid QTL and Gene Identification Method in Rice.

Workie Anley Zegeye, Yingxin Zhang, Liyong Cao, Shihua Cheng

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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  10. Review
  11. Fine Mapping of Stripe-Rust-Resistance GenePlants (Basel, Switzerland) · 2022
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Characterization and Rapid Gene-Mapping of Leaf Lesion Mimic Phenotype ofInternational journal of molecular sciences · 2019
    Article
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

4 authors.

Workie Anley ZegeyeState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 311400, Zhejiang, China. workieanley@yahoo.com.
Yingxin ZhangState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 311400, Zhejiang, China. zyxrice@163.com.
Liyong CaoState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 311400, Zhejiang, China. caoliyong@caas.cn.
Shihua ChengState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 311400, Zhejiang, China. chengshihua@caas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most Quantitative Trait Loci (QTL) and gene isolation approaches, such as positional- or map-based cloning, are time-consuming and low-throughput methods. Understanding and detecting the genetic material that controls a phenotype is a key means to functionally analyzing genes as well as to enhance crop agronomic traits. In this regard, high-throughput technologies have great prospects for changing the paradigms of DNA marker revealing, genotyping, and for discovering crop genetics and genomic study. Bulk segregant analysis, based on whole genome resequencing approaches, permits the rapid isolation of the genes or QTL responsible for the causative mutation of the phenotypes. MutMap, MutMap Gap, MutMap+, modified MutMap, and QTL-seq methods are among those approaches that have been confirmed to be fruitful gene mapping approaches for crop plants, such as rice, irrespective of whether the characters are determined by polygenes. As a result, in the present study we reviewed the progress made by all these methods to identify QTL or genes in rice.

Indexed as

Genes, PlantChromosome SegregationMutationOryzaQuantitative Trait LociWhole Genome Sequencingbulk segregant analysisMutMapQTL-seqwhole genome resequencing

Identifiers

PMID30545055
PMCPMC6321147

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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.