Evidence map›Paper›PMID 26837952›Full record

ArticleG3 (Bethesda, Md.)2016

Utilizing Gene Tree Variation to Identify Candidate Effector Genes in Zymoseptoria tritici.

Megan C McDonald, Lachlan McGinness, James K Hane, Angela H Williams, Andrew Milgate, Peter S Solomon

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  13. Rapid emergence of pathogens in agro-ecosystems: global threats to agricultural sustainability and food security.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016
    Review
  14. 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

6 authors.

Megan C McDonaldPlant Sciences Division, Research School of Biology, The Australian National University, Canberra, ACT, Australia 2601.
Lachlan McGinnessPlant Sciences Division, Research School of Biology, The Australian National University, Canberra, ACT, Australia 2601.
James K HaneBlack Box Bioinformatics, Perth, WA, Australia 6102 CCDM Bioinformatics, Centre for Crop and Disease Management, Department of Environment and Agriculture, Curtin University, Perth, WA, Australia Curtin Institute for Computation, Curtin University, Perth, WA, Australia 6102.
Angela H WilliamsBlack Box Bioinformatics, Perth, WA, Australia 6102 CCDM Bioinformatics, Centre for Crop and Disease Management, Department of Environment and Agriculture, Curtin University, Perth, WA, Australia.
Andrew MilgateNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, NSW, Australia 2795.
Peter S SolomonPlant Sciences Division, Research School of Biology, The Australian National University, Canberra, ACT, Australia 2601 peter.solomon@anu.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zymoseptoria tritici is a host-specific, necrotrophic pathogen of wheat. Infection by Z. tritici is characterized by its extended latent period, which typically lasts 2 wks, and is followed by extensive host cell death, and rapid proliferation of fungal biomass. This work characterizes the level of genomic variation in 13 isolates, for which we have measured virulence on 11 wheat cultivars with differential resistance genes. Between the reference isolate, IPO323, and the 13 Australian isolates we identified over 800,000 single nucleotide polymorphisms, of which ∼10% had an effect on the coding regions of the genome. Furthermore, we identified over 1700 probable presence/absence polymorphisms in genes across the Australian isolates using de novo assembly. Finally, we developed a gene tree sorting method that quickly identifies groups of isolates within a single gene alignment whose sequence haplotypes correspond with virulence scores on a single wheat cultivar. Using this method, we have identified < 100 candidate effector genes whose gene sequence correlates with virulence toward a wheat cultivar carrying a major resistance gene.

Indexed as

Genes, FungalGenomicsAscomycotaChromosomes, FungalGenetic Association StudiesGenome, FungalHaplotypesHigh-Throughput Nucleotide SequencingOpen Reading FramesPhenotypePhylogenyPlant DiseasesPolymorphism, Single NucleotideTriticumVirulenceaccessory chromosomecomparative genomicsfungal effectorintraspecificMycosphaerella graminicola

Identifiers

PMID26837952
PMCPMC4825649

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.