Evidence map›Paper›PMID 27671164›Full record

ArticleRice (New York, N.Y.)2016

Analysis of Allelic Imbalance in Rice Hybrids Under Water Stress and Association of Asymmetrically Expressed Genes with Drought-Response QTLs.

Nelzo C Ereful, Li-Yu Liu, Eric Tsai, Shu-Min Kao, Shalabh Dixit, Ramil Mauleon, Katrina Malabanan, Michael Thomson, Antonio Laurena, David Lee and 4 more

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

14 authors at 5 institutions in 4 countries.

Nelzo C ErefulGenetics and Biotechnology Division, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines. nelzo.ereful@niab.com.ORCID http://orcid.org/0000-0003-4460-743X
Li-Yu LiuDepartment of Agronomy, National Taiwan University (NTU), Taipei City, 100, Taiwan.
Eric TsaiDepartment of Agronomy, National Taiwan University (NTU), Taipei City, 100, Taiwan.
Shu-Min KaoDepartment of Agronomy, National Taiwan University (NTU), Taipei City, 100, Taiwan.
Shalabh DixitGenetics and Biotechnology Division, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines.
Ramil MauleonGenetics and Biotechnology Division, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines.
Katrina MalabananGenetics and Biotechnology Division, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines.
Michael ThomsonGenetics and Biotechnology Division, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines.
Antonio LaurenaInstitute of Plant Breeding, University of the Philippines, Los Baños, Laguna, Philippines.
David LeeThe John Bingham Laboratory, National Institute of Agricultural Botany (NIAB), Huntingdon Road, Cambridge, CB3 0LE, UK.
Ian MackayThe John Bingham Laboratory, National Institute of Agricultural Botany (NIAB), Huntingdon Road, Cambridge, CB3 0LE, UK.
Andy GreenlandThe John Bingham Laboratory, National Institute of Agricultural Botany (NIAB), Huntingdon Road, Cambridge, CB3 0LE, UK.
Wayne PowellSRUC, Peter Wilson Building, West Mains Road, Edinburgh, EH9 3JG, UK.
Hei LeungGenetics and Biotechnology Division, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines.
International Rice Research Institute · PHNational Institute of Agricultural Botany · GBNational Taiwan University · TWUniversity of the Philippines Los Baños · PHScotland's Rural College · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F004265/1
6 · The paper itself

Abstract

backgroundInformation on the effect of stress on the allele-specific expression (ASE) profile of rice hybrids is limited. More so, the association of allelically imbalanced genes to important traits is yet to be understood. Here we assessed allelic imbalance (AI) in the heterozygote state of rice under non- and water-stress treatments and determined association of asymmetrically expressed genes with grain yield (GY) under drought stress by in-silico co-localization analysis and selective genotyping. The genotypes IR64, Apo and their F1 hybrid (IR64 × Apo) were grown under normal and water-limiting conditions. We sequenced the total RNA transcripts for all genotypes then reconstructed the two chromosomes in the heterozygote.

resultsWe are able to estimate the transcript abundance of and the differential expression (DE) between the two parent-specific alleles in the rice hybrids. The magnitude and direction of AI are classified into two categories: (1) symmetrical or biallelic and (2) asymmetrical. The latter can be further classified as either IR64- or Apo-favoring gene. Analysis showed that in the hybrids grown under non-stress conditions, 179 and 183 favor Apo- and IR64-specific alleles, respectively. Hence, the number of IR64- and Apo-favoring genes is relatively equal. Under water-stress conditions, 179 and 255 favor Apo- and IR64-specific alleles, respectively, indicating that the number of allelically imbalanced genes is skewed towards IR64. This is nearly 40-60 % preference for Apo and IR64 alleles, respectively, to the hybrid transcriptome. We also observed genes which exhibit allele preference switching when exposed to water-stress conditions. Results of in-silico co-localization procedure and selective genotyping of Apo/IR64 F3:5 progenies revealed significant association of several asymmetrically expressed genes with GY under drought stress conditions.

conclusionOur data suggest that water stress skews AI on a genome-wide scale towards the IR64 allele, the cross-specific maternal allele. Several asymmetrically expressed genes are strongly associated with GY under drought stress which may shed hints that genes associated with important traits are allelically imbalanced. Our approach of integrating hybrid expression analysis and QTL mapping analysis may be an efficient strategy for shortlisting candidate genes for gene discovery.

Indexed as

Allele-specific expression (ASE)Allelic imbalance (AI)Co-localization analysisDroughtQuantitative trait loci (QTL)Rice (Oryza sativa L.)RNA-seqSelective genotyping

Identifiers

PMID27671164
PMCPMC5037104
OpenAlexW2525348374

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.