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Identification of the optimal codons for acetolactate synthase from weeds: an in-silico study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F21%3A88332" target="_blank" >RIV/60460709:41210/21:88332 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.agriculturejournals.cz/web/pse.htm?type=article&id=562_2020-PSE" target="_blank" >https://www.agriculturejournals.cz/web/pse.htm?type=article&id=562_2020-PSE</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17221/562/2020-PSE" target="_blank" >10.17221/562/2020-PSE</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Identification of the optimal codons for acetolactate synthase from weeds: an in-silico study

  • Original language description

    Although various studies of codon usage bias have been reported in a broad spectrum of organisms, no studies to date have examined codon usage bias for herbicide target genes. In this study, we analysed codon usage patterns for the acetolactate synthase (ALS) gene in eight monocot weeds and one model monocot. Additionally, the optimal codons, along with over- and under-represented codons, were identified. Gene design using optimal codons rather than overall abundant codons produce improved protein expression results. Our results can be used for further studies, including eliciting the mechanisms of herbicide resistance (occurring due to elevation of gene expression levels) and the development of new compounds, their efficiency and risk assessment for herbicide resistance evolution.

  • 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

    <a href="/en/project/QK1820081" target="_blank" >QK1820081: Resistance monitoring methods of economically important pests and weeds to pesticides and anti-resistance strategies</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Plant, Soil and Environment

  • ISSN

    1214-1178

  • e-ISSN

    1805-9368

  • Volume of the periodical

    67

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    6

  • Pages from-to

    331-336

  • UT code for WoS article

    000653182000003

  • EID of the result in the Scopus database

    2-s2.0-85107395783