Evidence map›Paper›PMID 26840746›Full record

ArticlePloS one2016

De Novo Assembled Wheat Transcriptomes Delineate Differentially Expressed Host Genes in Response to Leaf Rust Infection.

Saket Chandra, Dharmendra Singh, Jyoti Pathak, Supriya Kumari, Manish Kumar, Raju Poddar, Harindra Singh Balyan, Puspendra Kumar Gupta, Kumble Vinod Prabhu, Kunal Mukhopadhyay

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
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  5. Article
  6. Review
  7. Article
  8. Identification of Candidate Susceptibility Genes toFrontiers in plant science · 2021
    Article
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  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
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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

10 authors.

Saket ChandraDepartment of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi 835215 Jharkhand, India.
Dharmendra SinghDepartment of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi 835215 Jharkhand, India.
Jyoti PathakDepartment of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi 835215 Jharkhand, India.
Supriya KumariDepartment of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut 200005, Uttar Pradesh, India.
Manish KumarDepartment of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi 835215 Jharkhand, India.
Raju PoddarDepartment of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi 835215 Jharkhand, India.
Harindra Singh BalyanDepartment of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut 200005, Uttar Pradesh, India.
Puspendra Kumar GuptaDepartment of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut 200005, Uttar Pradesh, India.
Kumble Vinod PrabhuDivision of Genetics, Indian Agricultural Research Institute, New Delhi 110012, India.
Kunal MukhopadhyayDepartment of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi 835215 Jharkhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogens like Puccinia triticina, the causal organism for leaf rust, extensively damages wheat production. The interaction at molecular level between wheat and the pathogen is complex and less explored. The pathogen induced response was characterized using mock- or pathogen inoculated near-isogenic wheat lines (with or without seedling leaf rust resistance gene Lr28). Four Serial Analysis of Gene Expression libraries were prepared from mock- and pathogen inoculated plants and were subjected to Sequencing by Oligonucleotide Ligation and Detection, which generated a total of 165,767,777 reads, each 35 bases long. The reads were processed and multiple k-mers were attempted for de novo transcript assembly; 22 k-mers showed the best results. Altogether 21,345 contigs were generated and functionally characterized by gene ontology annotation, mining for transcription factors and resistance genes. Expression analysis among the four libraries showed extensive alterations in the transcriptome in response to pathogen infection, reflecting reorganizations in major biological processes and metabolic pathways. Role of auxin in determining pathogenesis in susceptible and resistant lines were imperative. The qPCR expression study of four LRR-RLK (Leucine-rich repeat receptor-like protein kinases) genes showed higher expression at 24 hrs after inoculation with pathogen. In summary, the conceptual model of induced resistance in wheat contributes insights on defense responses and imparts knowledge of Puccinia triticina-induced defense transcripts in wheat plants.

Indexed as

Gene Expression Regulation, PlantBasidiomycotaDisease ResistancePlant DiseasesPlant LeavesSeedlingsTriticum

Identifiers

PMID26840746
PMCPMC4739524

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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.