Evidence map›Paper›PMID 29170790›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2018

A multiple near isogenic line (multi-NIL) RNA-seq approach to identify candidate genes underpinning QTL.

Ahsan Habib, Jonathan J Powell, Jiri Stiller, Miao Liu, Sergey Shabala, Meixue Zhou, Donald M Gardiner, Chunji Liu

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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 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
7.1field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 39 citations in OpenAlex.

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  12. Identification of a novel genomic region associated with resistance to Fusarium crown rot in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
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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

8 authors at 4 institutions in 2 countries.

Ahsan HabibCommonwealth Scientific and Industrial Research Organization Agriculture and Food, St Lucia, QLD, 4067, Australia.
Jonathan J PowellCommonwealth Scientific and Industrial Research Organization Agriculture and Food, St Lucia, QLD, 4067, Australia.
Jiri StillerCommonwealth Scientific and Industrial Research Organization Agriculture and Food, St Lucia, QLD, 4067, Australia.
Miao LiuCommonwealth Scientific and Industrial Research Organization Agriculture and Food, St Lucia, QLD, 4067, Australia.
Sergey ShabalaSchool of Land and Food and Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Australia.
Meixue ZhouSchool of Land and Food and Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Australia.
Donald M GardinerCommonwealth Scientific and Industrial Research Organization Agriculture and Food, St Lucia, QLD, 4067, Australia.
Chunji LiuCommonwealth Scientific and Industrial Research Organization Agriculture and Food, St Lucia, QLD, 4067, Australia. Chunji.liu@csiro.au.ORCID http://orcid.org/0000-0003-3399-7743
Agriculture and Food · AUUniversity of Tasmania · AUCommonwealth Scientific and Industrial Research Organisation · AUKhulna University · BD

Funding

Grains Research and Development Corporation CFF00010
6 · The paper itself

Abstract

key messageThis study demonstrates how identification of genes underpinning disease-resistance QTL based on differential expression and SNPs can be improved by performing transcriptomic analysis on multiple near isogenic lines. Transcriptomic analysis has been widely used to understand the genetic basis of a trait of interest by comparing genotypes with contrasting phenotypes. However, these approaches identify such large sets of differentially expressed genes that it proves difficult to isolate which genes underpin the phenotype of interest. This study tests whether using multiple near isogenic lines (NILs) can improve the resolution of RNA-seq-based approaches to identify genes underpinning disease-resistance QTL. A set of NILs for a major effect Fusarium crown rot-resistance QTL in barley on the 4HL chromosome arm were analysed under Fusarium crown rot using RNA-seq. Differential gene expression and single nucleotide polymorphism detection analyses reduced the number of putative candidates from thousands within individual NIL pairs to only one hundred and two genes, which were differentially expressed or contained SNPs in common across NIL pairs and occurred on 4HL. Our findings support the value of performing RNA-seq analysis using multiple NILs to remove genetic background effects. The enrichment analyses indicated conserved differences in the response to infection between resistant and sensitive isolines suggesting that sensitive isolines are impaired in systemic defence response to Fusarium pseudograminearum.

Indexed as

Quantitative Trait LociSequence Analysis, RNADisease ResistanceFusariumGene Expression ProfilingGene Expression Regulation, PlantGenotypeHordeumPhenotypePlant DiseasesPolymorphism, Single Nucleotide

Identifiers

PMID29170790
OpenAlexW2769789788

What OpenQuestion holds

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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.