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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Result continuities

  • Project

  • 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

  • UT code for WoS article

    001088126000001

  • EID of the result in the Scopus database

    2-s2.0-85174926750