» Articles » PMID: 31546893

Population Genomic Approaches for Weed Science

Overview
Journal Plants (Basel)
Date 2019 Sep 25
PMID 31546893
Citations 7
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Exploring the genetic progression of MDR1 in : A decade of multi-regional genetic analysis (2014-2024).

Mokuolu O, Ambrose G, Mohammed Baba Abdulkadir , Ibrahim S, Funsho I, Mokuolu T Curr Res Microb Sci. 2024; 7:100304.

PMID: 39534723 PMC: 11554628. DOI: 10.1016/j.crmicr.2024.100304.


Standing genetic variation fuels rapid evolution of herbicide resistance in blackgrass.

Kersten S, Chang J, Huber C, Voichek Y, Lanz C, Hagmaier T Proc Natl Acad Sci U S A. 2023; 120(16):e2206808120.

PMID: 37043536 PMC: 10120058. DOI: 10.1073/pnas.2206808120.


Common evolutionary trajectory of short life-cycle in Brassicaceae ruderal weeds.

Li L, Xu Z, Chang T, Wang L, Kang H, Zhai D Nat Commun. 2023; 14(1):290.

PMID: 36653415 PMC: 9849336. DOI: 10.1038/s41467-023-35966-7.


Biotechnological Road Map for Innovative Weed Management.

Wong A, Massel K, Lam Y, Hintzsche J, Chauhan B Front Plant Sci. 2022; 13:887723.

PMID: 35548307 PMC: 9082642. DOI: 10.3389/fpls.2022.887723.


Genomic-based epidemiology reveals independent origins and gene flow of glyphosate resistance in Bassia scoparia populations across North America.

Ravet K, Sparks C, Dixon A, Kupper A, Westra E, Pettinga D Mol Ecol. 2021; 30(21):5343-5359.

PMID: 34614274 PMC: 9297870. DOI: 10.1111/mec.16215.


References
1.
Slatkin M . ISOLATION BY DISTANCE IN EQUILIBRIUM AND NON-EQUILIBRIUM POPULATIONS. Evolution. 2017; 47(1):264-279. DOI: 10.1111/j.1558-5646.1993.tb01215.x. View

2.
Bauer E, Schmutzer T, Barilar I, Mascher M, Gundlach H, Martis M . Towards a whole-genome sequence for rye (Secale cereale L.). Plant J. 2016; 89(5):853-869. DOI: 10.1111/tpj.13436. View

3.
Straub S, Cronn R, Edwards C, Fishbein M, Liston A . Horizontal transfer of DNA from the mitochondrial to the plastid genome and its subsequent evolution in milkweeds (apocynaceae). Genome Biol Evol. 2013; 5(10):1872-85. PMC: 3814198. DOI: 10.1093/gbe/evt140. View

4.
Pickar-Oliver A, Gersbach C . The next generation of CRISPR-Cas technologies and applications. Nat Rev Mol Cell Biol. 2019; 20(8):490-507. PMC: 7079207. DOI: 10.1038/s41580-019-0131-5. View

5.
Jackman S, Vandervalk B, Mohamadi H, Chu J, Yeo S, Hammond S . ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filter. Genome Res. 2017; 27(5):768-777. PMC: 5411771. DOI: 10.1101/gr.214346.116. View