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Uncovering natural variation in root system architecture and growth dynamics using a robotics-assisted phenomics platform

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dc.contributor.authorLaRue, Therese
dc.contributor.authorLindner, Heike
dc.contributor.authorSrinivas, Ankit
dc.contributor.authorExposito-Alonso, Moises
dc.contributor.authorLobet, Guillaume
dc.contributor.authorDinneny, José R
dc.date.accessioned2024-10-11T17:21:59Z
dc.date.available2024-10-11T17:21:59Z
dc.date.issued2022-09-01
dc.description.abstractThe plant kingdom contains a stunning array of complex morphologies easily observed above-ground, but more challenging to visualize below-ground. Understanding the magnitude of diversity in root distribution within the soil, termed root system architecture (RSA), is fundamental in determining how this trait contributes to species adaptation in local environments. Roots are the interface between the soil environment and the shoot system and therefore play a key role in anchorage, resource uptake, and stress resilience. Previously, we presented the GLO-Roots (Growth and Luminescence Observatory for Roots) system to study the RSA of soil-grown Arabidopsis thaliana plants from germination to maturity (Rellán-Álvarez et al., 2015). In this study, we present the automation of GLO-Roots using robotics and the development of image analysis pipelines in order to examine the temporal dynamic regulation of RSA and the broader natural variation of RSA in Arabidopsis, over time. These datasets describe the developmental dynamics of two independent panels of accessions and reveal highly complex and polygenic RSA traits that show significant correlation with climate variables of the accessions’ respective origins.
dc.description.numberOfPages26
dc.description.sponsorshipInstitut für Pflanzenwissenschaften (IPS)
dc.identifier.doi10.48350/173631
dc.identifier.pmid36047575
dc.identifier.publisherDOI10.7554/eLife.76968
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/87994
dc.language.isoen
dc.publishereLife Sciences Publications
dc.relation.ispartofeLife
dc.relation.issn2050-084X
dc.relation.organizationDCD5A442C579E17DE0405C82790C4DE2
dc.subject.ddc500 - Science::580 - Plants (Botany)
dc.titleUncovering natural variation in root system architecture and growth dynamics using a robotics-assisted phenomics platform
dc.typearticle
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oaire.citation.volume11
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oairecerif.author.affiliationInstitut für Pflanzenwissenschaften (IPS)
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unibe.date.licenseChanged2022-10-11 06:38:02
unibe.description.ispublishedpub
unibe.eprints.legacyId173631
unibe.journal.abbrevTitleeLife
unibe.refereedTRUE
unibe.subtype.articlejournal

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