Comprehensive insights into herbicide resistance mechanisms in weeds: a synergistic integration of transcriptomic and metabolomic analyses
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F23%3A95237" target="_blank" >RIV/60460709:41210/23:95237 - isvavai.cz</a>
Alternative codes found
RIV/60460709:41340/23:95237
Result on the web
<a href="https://www.frontiersin.org/articles/10.3389/fpls.2023.1280118/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fpls.2023.1280118/full</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fpls.2023.1280118" target="_blank" >10.3389/fpls.2023.1280118</a>
Alternative languages
Result language
angličtina
Original language name
Comprehensive insights into herbicide resistance mechanisms in weeds: a synergistic integration of transcriptomic and metabolomic analyses
Original language description
Omics techniques, including genomics, transcriptomics, proteomics, and metabolomics have smoothed the researcher’s ability to generate hypotheses and discover various agronomically relevant functions and mechanisms, as well as their implications and associations. With a significant increase in the number of cases with resistance to multiple herbicide modes of action, studies on herbicide resistance are currently one of the predominant areas of research within the field of weed science. High-throughput technologies have already started revolutionizing the current molecular weed biology studies. The evolution of herbicide resistance in weeds (particularly via non-target site resistance mechanism) is a perfect example of a complex, multi-pathway integration-induced response. To date, functional genomics, including transcriptomic and metabolomic studies have been used separately in herbicide resistance research, however there is a substantial lack of integrated approach. Hence, despite the ability of omics technologies to provide significant insights into the molecular functioning of weeds, using a single omics can sometimes be misleading. This mini-review will aim to discuss the current progress of transcriptome-based and metabolome-based approaches in herbicide resistance research, along with their systematic integration.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Plant Science
ISSN
1664-462X
e-ISSN
1664-462X
Volume of the periodical
14
Issue of the periodical within the volume
OCT 11 2023
Country of publishing house
CH - SWITZERLAND
Number of pages
10
Pages from-to
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UT code for WoS article
001088126000001
EID of the result in the Scopus database
2-s2.0-85174926750