Evidence map›Paper›PMID 30222760›Full record

ArticlePloS one2018

QTL and QTL networks for cold tolerance at the reproductive stage detected using selective introgression in rice.

Yuntao Liang, Lijun Meng, Xiuyun Lin, Yanru Cui, Yunlong Pang, Jianlong Xu, Zhikang Li

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 31 citations in OpenAlex.

  1. Frontiers in plant science · 2026
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  2. Article
  3. Review
  4. Genetic Dissection of Salt Tolerance and Yield Traits ofCurrent issues in molecular biology · 2023
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Genomic Breeding of Green Super Rice Varieties and Their Deployment in Asia and Africa.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  13. 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

7 authors at 3 institutions in 1 country.

Yuntao LiangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Lijun MengInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiuyun LinRice Research Institute, Jilin Academy of Agricultural Sciences, Jilin, China.
Yanru CuiInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Yunlong PangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Jianlong XuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Zhikang LiInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.ORCID 0000-0001-8116-2981
Chinese Academy of Agricultural Sciences · CNAgricultural Genomics Institute at Shenzhen · CNRice Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low temperature stress is one of the major abiotic stresses limiting the productivity of Geng (japonica) rice grown the temperate regions as well as in tropical high lands worldwide. To develop rice varieties with improved cold tolerance (CT) at the reproductive stage, 84 BC2 CT introgression lines (ILs) were developed from five populations through backcross breeding. These CT ILs plus 310 random ILs from the same BC populations were used for dissecting genetic networks underlying CT in rice by detecting QTLs and functional genetic units (FGUs) contributing to CT. Seventeen major QTLs for CT were identified using five selective introgression populations and the method of segregation distortion. Of them, three QTLs were confirmed using the random populations and seven others locate in the regions with previously reported CT QTLs/genes. Using multi-locus probability tests and linkage disequilibrium (LD) analyses, 46 functional genetic units (FGUs) (37 single loci and 9 association groups or AGs) distributed in 37 bins (~20%) across the rice genome for CT were detected. Together, each of the CT loci (bins) was detected in 1.7 populations, including 18 loci detected in two or more populations. Putative genetic networks (multi-locus structures) underlying CT were constructed based on strong non-random associations between or among donor alleles at the unlinked CT loci/FGUs identified in the CT ILs, suggesting the presence of strong epistasis among the detected CT loci. Our results demonstrated the power and usefulness of using selective introgression for simultaneous improvement and genetic dissection of complex traits such as CT in rice.

Indexed as

Cold TemperatureAcclimatizationCrosses, GeneticEpistasis, GeneticLinkage DisequilibriumOryzaQuantitative Trait Loci

Identifiers

PMID30222760
PMCPMC6141068
OpenAlexW2891854272

What OpenQuestion holds

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LicenceCC BY
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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.