Genomic structural variation and herbicide resistance

The coinciding increase in genomics resources for weedy plant species and herbicide resistance evolution has led to a rapid expansion of our understanding of the relationship between genomic structural variation and herbicide resistance mechanisms. Since the first discovery of 5-enolpyruvylshikimate-3-phosphate synthase ( EPSPS) copy number variation conferring glyphosate resistance in Amaranthus palmeri, we have seen rapid convergent evolution of the same herbicide-resistance mechanism in eleven diverse weed species by a variety of unique structural variant-generating mechanisms. These mechanisms include extrachromosomal circular DNA replication, unequal crossing over, and subtelomeric duplication. More recently, target-site duplication has been found to cause resistance for other herbicides with different modes of action, including acetyl-CoA carboxylase (ACCase) inhibitors and glutamine synthetase inhibitors. Additionally, the first transposon-generated structural variants that confer herbicide resistances are beginning to be discovered. This review summarizes our current understanding of structural variation in agronomic weed genomes as it relates to herbicide resistance and emphasizes necessary future research to clarify the size, nature, and mechanisms that give rise to genomic structural variation. While we limit our review to herbicide resistance traits, this work also highlights the importance of structural variation as a critical component of total genetic diversity and its importance for the rapid evolution of novel traits.

Authors

Institutions

Publication Details

Journal
Canadian Journal of Plant Science
Published
2024-12-04
DOI
https://doi.org/10.1139/cjps-2024-0199
Citations
6
Primary Topic
Weed Control and Herbicide Applications
Type
article
Field-Weighted Citation Impact
3.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genomic structural variation and herbicide resistance

Nicholas A. Johnson, Todd A. Gaines, Jacob E. Montgomery, Eric L. Patterson et al.
6 citations
Canadian Journal of Plant Science
Weed Control and Herbicide Applications
3.60
article

Genomic structural variation and herbicide resistance

Nicholas A. Johnson, Todd A. Gaines, Jacob E. Montgomery, Eric L. Patterson, John Lemas
article en
6 citations

Abstract

The coinciding increase in genomics resources for weedy plant species and herbicide resistance evolution has led to a rapid expansion of our understanding of the relationship between genomic structural variation and herbicide resistance mechanisms. Since the first discovery of 5-enolpyruvylshikimate-3-phosphate synthase ( EPSPS) copy number variation conferring glyphosate resistance in Amaranthus palmeri, we have seen rapid convergent evolution of the same herbicide-resistance mechanism in eleven diverse weed species by a variety of unique structural variant-generating mechanisms. These mechanisms include extrachromosomal circular DNA replication, unequal crossing over, and subtelomeric duplication. More recently, target-site duplication has been found to cause resistance for other herbicides with different modes of action, including acetyl-CoA carboxylase (ACCase) inhibitors and glutamine synthetase inhibitors. Additionally, the first transposon-generated structural variants that confer herbicide resistances are beginning to be discovered. This review summarizes our current understanding of structural variation in agronomic weed genomes as it relates to herbicide resistance and emphasizes necessary future research to clarify the size, nature, and mechanisms that give rise to genomic structural variation. While we limit our review to herbicide resistance traits, this work also highlights the importance of structural variation as a critical component of total genetic diversity and its importance for the rapid evolution of novel traits.

Canadian Journal of Plant ScienceVol. 105
Michigan United (US), Michigan State University (US), Colorado State University (US)
Life in Land
Openalex Percentile: Top 7%
Weed Control and Herbicide Applications
3.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.