Evidence map›Paper›PMID 31749817›Full record

ReviewFrontiers in plant science2019

Genomics of Plant Disease Resistance in Legumes.

Prasanna Kankanala, Raja Sekhar Nandety, Kirankumar S Mysore

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Integrating targeted genetic markers to genotyping-by-sequencing for an ultimate genotyping tool.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Differentially expressed genes againstFrontiers in plant science · 2022
    Article
  15. Genome-Wide Association Study of Resistance toFrontiers in plant science · 2022
    Article
  16. Article
  17. Article
  18. Review
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

3 authors.

Prasanna KankanalaNoble Research Institute, LLC, Ardmore, OK, United States.
Raja Sekhar NandetyNoble Research Institute, LLC, Ardmore, OK, United States.
Kirankumar S MysoreNoble Research Institute, LLC, Ardmore, OK, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The constant interactions between plants and pathogens in the environment and the resulting outcomes are of significant importance for agriculture and agricultural scientists. Disease resistance genes in plant cultivars can break down in the field due to the evolution of pathogens under high selection pressure. Thus, the protection of crop plants against pathogens is a continuous arms race. Like any other type of crop plant, legumes are susceptible to many pathogens. The dawn of the genomic era, in which high-throughput and cost-effective genomic tools have become available, has revolutionized our understanding of the complex interactions between legumes and pathogens. Genomic tools have enabled a global view of transcriptome changes during these interactions, from which several key players in both the resistant and susceptible interactions have been identified. This review summarizes some of the large-scale genomic studies that have clarified the host transcriptional changes during interactions between legumes and their plant pathogens while highlighting some of the molecular breeding tools that are available to introgress the traits into breeding programs. These studies provide valuable insights into the molecular basis of different levels of host defenses in resistant and susceptible interactions.

Indexed as

CRISPR/Cas9genomicsGWASlegumesmarkersplant–pathogen interactionsQTLstranscriptome analysis

Identifiers

PMID31749817
PMCPMC6842968

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.