Let's connect nature with hypothesis-based experimentation and explore life in context.

CRISPR chemical ecology genome editing mobile laboratory natural settings phenotyping

Journal

The Plant journal : for cell and molecular biology
ISSN: 1365-313X
Titre abrégé: Plant J
Pays: England
ID NLM: 9207397

Informations de publication

Date de publication:
01 2023
Historique:
revised: 31 10 2022
received: 08 08 2022
accepted: 08 11 2022
pubmed: 25 11 2022
medline: 4 1 2023
entrez: 24 11 2022
Statut: ppublish

Résumé

In a recent paper in Nature, Edith Heard from the European Molecular Biology Laboratory (EMBL) suggested that molecular biologists should 'reconnect with nature' by diversifying sampling locations. Although this approach has its own benefits, we suggest that advanced methods should rather be used to take hypothesis-based experiments to nature, thereby supplying a much-needed context for experimentation under controlled conditions. Following the CRISPR (clustered regularly interspaced short palindromic repeats) revolution, this approach has become accessible to many research groups. For the past several years we have developed the groundwork and initiated such experimentation. This included the assembly of a mobile laboratory on a four-wheel drive truck and examining genome-edited metabolic mutants in wild tree tobacco (Nicotiana glauca), grown in nature. Our findings included both targeted answers to focused questions, but also surprising results that could only be reached while working in natural settings.

Identifiants

pubmed: 36423223
doi: 10.1111/tpj.16030
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

23-25

Informations de copyright

© 2022 Society for Experimental Biology and John Wiley & Sons Ltd.

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Auteurs

Boaz Negin (B)

Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, 761001, Israel.

Asaph Aharoni (A)

Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, 761001, Israel.

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Classifications MeSH