A transportome-scale amiRNA-based screen identifies redundant roles of Arabidopsis ABCB6 and ABCB20 in auxin transport
Yuqin Zhang,
Victoria Nasser,
Odelia Pisanty,
Moutasem Omary,
Nikolai Wulff,
Martin Donato,
Iris Tal,
Felix Hauser,
Pengchao Hao,
Ohad Roth,
Hillel Fromm,
Julian I. Schroeder,
Markus Geisler,
Hussam Hassan Nour-Eldin and
Eilon Shani ()
Additional contact information
Yuqin Zhang: Tel Aviv University
Victoria Nasser: Tel Aviv University
Odelia Pisanty: Tel Aviv University
Moutasem Omary: Tel Aviv University
Nikolai Wulff: University of Copenhagen
Martin Donato: University of Fribourg
Iris Tal: Tel Aviv University
Felix Hauser: University of California, San Diego
Pengchao Hao: University of Fribourg
Ohad Roth: Tel Aviv University
Hillel Fromm: Tel Aviv University
Julian I. Schroeder: University of California, San Diego
Markus Geisler: University of Fribourg
Hussam Hassan Nour-Eldin: University of Copenhagen
Eilon Shani: Tel Aviv University
Nature Communications, 2018, vol. 9, issue 1, 1-12
Abstract:
Abstract Transport of signaling molecules is of major importance for regulating plant growth, development, and responses to the environment. A prime example is the spatial-distribution of auxin, which is regulated via transporters to govern developmental patterning. A critical limitation in our ability to identify transporters by forward genetic screens is their potential functional redundancy. Here, we overcome part of this functional redundancy via a transportome, multi-targeted forward-genetic screen using artificial-microRNAs (amiRNAs). We generate a library of 3000 plant lines expressing 1777 amiRNAs, designed to target closely homologous genes within subclades of transporter families and identify, genotype and quantitatively phenotype, 80 lines showing reproducible shoot growth phenotypes. Within this population, we discover and characterize a strong redundant role for the unstudied ABCB6 and ABCB20 genes in auxin transport and response. The unique multi-targeted lines generated in this study could serve as a genetic resource that is expected to reveal additional transporters.
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06410-y
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DOI: 10.1038/s41467-018-06410-y
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