Evidence map›Paper›PMID 33873673›Full record

ReviewThe New phytologist2003

The rice blast pathosystem as a case study for the development of new tools and raw materials for genome analysis of fungal plant pathogens.

Thomas K Mitchell, Michael R Thon, Jun-Seop Jeong, Doug Brown, Jixin Deng, Ralph A Dean

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in The New phytologist, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

2 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Thomas K MitchellNorth Carolina State University, Fungal Genomics Laboratory, Department of Plant Pathology, Box 7251, Raleigh, NC 27695, USA.
Michael R ThonNorth Carolina State University, Fungal Genomics Laboratory, Department of Plant Pathology, Box 7251, Raleigh, NC 27695, USA.
Jun-Seop JeongNorth Carolina State University, Fungal Genomics Laboratory, Department of Plant Pathology, Box 7251, Raleigh, NC 27695, USA.
Doug BrownNorth Carolina State University, Fungal Genomics Laboratory, Department of Plant Pathology, Box 7251, Raleigh, NC 27695, USA.
Jixin DengNorth Carolina State University, Fungal Genomics Laboratory, Department of Plant Pathology, Box 7251, Raleigh, NC 27695, USA.
Ralph A DeanNorth Carolina State University, Fungal Genomics Laboratory, Department of Plant Pathology, Box 7251, Raleigh, NC 27695, USA.
North Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungi have an astounding and diverse impact on this planet. While they are agents of human diseases and the cause of allergic reactions, factories for the conversion of carbon in environmental and industrially adapted systems, and potential biological weapons, their importance as plant pathogens is unparalleled. In plants alone, fungi cause tens of thousands of different diseases and are responsible for massive losses of food, fiber and forestry at an estimated annual cost of hundreds of billions of dollars. These losses are not only realized in the incomes of individual farmers and state economies, but contribute significantly to world hunger problems and issues relating to safeguarding a global food supply. Our collective understanding of how fungi, particularly plant pathogens, grow, reproduce, identify a host and cause disease is still at a formative stage. There is an equal lack of detailed knowledge about how a plant recognizes that it is being attacked and then mounts an adequate defense response. The advent of genomic technologies has given researchers an unprecedented opportunity to address these mysteries in a powerful and more holistic manner. Where the genetic revolution of only a few years ago allowed for the characterization of single genes, today's genomic technologies are facilitating the evaluation of the entire complement of genes in an organism and the discovery of the suites of genes that act during any one time or particular condition. This review will describe the recent development of tools for whole or partial genome analysis and multigenome comparisons. Th discussion focuses on the rice blast pathosystem as a case study.

Indexed as

BACfungigenomic toolsMagnaporthe griseaphysical maprice blastsyntenywhole genome comparison

Identifiers

PMID33873673
OpenAlexW1987118351

What OpenQuestion holds

Textmetadata
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.