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dc.contributor.author
Thieme, Mercedes
dc.contributor.author
Hochmuth, Anton
dc.contributor.author
Ilse, Theresa Elisabeth
dc.contributor.author
Cuesta-Seijo, Jose Antonio
dc.contributor.author
Stoma, Szymon
dc.contributor.author
Meier, Roger
dc.contributor.author
Flyvbjerg Nørrelykke, Simon
dc.contributor.author
Pedas, Pai Rosager
dc.contributor.author
Braumann, Ilka
dc.contributor.author
Zeeman, Samuel C.
dc.date.accessioned
2022-10-28T09:51:26Z
dc.date.available
2022-10-28T03:21:44Z
dc.date.available
2022-10-28T09:51:26Z
dc.date.issued
2023-01-01
dc.identifier.issn
0144-8617
dc.identifier.issn
1879-1344
dc.identifier.other
10.1016/j.carbpol.2022.120169
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/578211
dc.description.abstract
Starch forms semi-crystalline, water-insoluble granules, the size and morphology of which vary according to biological origin. These traits, together with polymer composition and structure, determine the physicochemical properties of starch. However, screening methods to identify differences in starch granule size and shape are lacking. Here, we present two approaches for high-throughput starch granule extraction and size determination using flow cytometry and automated, high-throughput light microscopy. We evaluated the practicality of both methods using starch from different species and tissues and demonstrated their effectiveness by screening for induced variation in starch extracted from over 10,000 barley lines, yielding four with heritable changes in the ratio of large A-granules to small B-granules. Analysis of Arabidopsis lines altered in starch biosynthesis further demonstrates the applicability of these approaches. Identifying variation in starch granule size and shape will enable identification of trait-controlling genes for developing crops with desired properties, and could help optimise starch processing.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
High-throughput genetic screen
en_US
dc.subject
Arabidopsis thaliana
en_US
dc.subject
Hordeum vulgare
en_US
dc.subject
Induced genetic variation
en_US
dc.subject
Automated image analysis
en_US
dc.title
Detecting variation in starch granule size and morphology by high-throughput microscopy and flow cytometry
en_US
dc.type
Journal Article
dc.date.published
2022-09-29
ethz.journal.title
Carbohydrate Polymers
ethz.journal.volume
299
en_US
ethz.journal.abbreviated
Carbohydr. Polym.
ethz.pages.start
120169
en_US
ethz.size
11 p.
en_US
ethz.grant
Boosting technology transfer and responsible research and innovation (RRI) in plant sciences
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02030 - Dep. Biologie / Dep. of Biology::02541 - Institut für Molekulare Pflanzenbiologie / Institute of Molecular Plant Biology::03707 - Zeeman, Samuel C. / Zeeman, Samuel C.
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00003 - Schulleitung und Dienste::00022 - Bereich VP Forschung / Domain VP Research::02891 - ScopeM / ScopeM
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02030 - Dep. Biologie / Dep. of Biology::02541 - Institut für Molekulare Pflanzenbiologie / Institute of Molecular Plant Biology::03707 - Zeeman, Samuel C. / Zeeman, Samuel C.
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00003 - Schulleitung und Dienste::00022 - Bereich VP Forschung / Domain VP Research::02891 - ScopeM / ScopeM
ethz.grant.agreementno
722338
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
H2020
ethz.date.deposited
2022-10-28T03:21:46Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2022-10-28T09:51:27Z
ethz.rosetta.lastUpdated
2024-02-02T18:49:47Z
ethz.rosetta.versionExported
true
ethz.COinS
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