Evidence map›Paper›PMID 31546893›Full record

ReviewPlants (Basel, Switzerland)2019

Population Genomic Approaches for Weed Science.

Sara L Martin, Jean-Sebastien Parent, Martin Laforest, Eric Page, Julia M Kreiner, Tracey James

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Exploring the genetic progression of MDR1 inCurrent research in microbial sciences · 2024
    Article
  3. Standing genetic variation fuels rapid evolution of herbicide resistance in blackgrass.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. Herbicide Resistance in Plants.Plants (Basel, Switzerland) · 2020
    Article
  8. 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.

Sara L MartinOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada. Sara.Martin@Canada.ca.ORCID 0000-0003-2055-6498
Jean-Sebastien ParentOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada. jean-sebastien.parent@canada.ca.ORCID 0000-0001-7859-7415
Martin LaforestSaint-Jean-sur-Richelieu Research and Development Centre, Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu, QC J3B 3E6, Canada. Martin.Laforest@Canada.ca.ORCID 0000-0001-6066-5117
Eric PageHarrow Research and Development Centre, Agriculture and Agri-Food Canada, Harrow, ON N0R 1G0, Canada. Eric.Page@Canada.ca.ORCID 0000-0003-3361-5151
Julia M KreinerDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3B2, Canada. julia.kreiner@mail.utoronto.ca.
Tracey JamesOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada. tracey.james@canada.ca.

Funding

Agriculture and Agri-Food Canada J-001751
6 · The paper itself

Abstract

Genomic approaches are opening avenues for understanding all aspects of biological life, especially as they begin to be applied to multiple individuals and populations. However, these approaches typically depend on the availability of a sequenced genome for the species of interest. While the number of genomes being sequenced is exploding, one group that has lagged behind are weeds. Although the power of genomic approaches for weed science has been recognized, what is needed to implement these approaches is unfamiliar to many weed scientists. In this review we attempt to address this problem by providing a primer on genome sequencing and provide examples of how genomics can help answer key questions in weed science such as: (1) Where do agricultural weeds come from; (2) what genes underlie herbicide resistance; and, more speculatively, (3) can we alter weed populations to make them easier to control? This review is intended as an introduction to orient weed scientists who are thinking about initiating genome sequencing projects to better understand weed populations, to highlight recent publications that illustrate the potential for these methods, and to provide direction to key tools and literature that will facilitate the development and execution of weed genomic projects.

Indexed as

genome scansgenomicsnon-target site resistanceplant genome assemblypopulation geneticspopulation genomicsweeds

Identifiers

PMID31546893
PMCPMC6783936

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.