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231225s2020 xx |||||o 00| ||eng c |
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|a 10.1016/j.plantsci.2020.110675
|2 doi
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|a pubmed25n1059.xml
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|a (DE-627)NLM317856839
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|a (NLM)33218639
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|a (PII)S0168-9452(20)30281-8
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Beuchat, Gabriel
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Review
|b The Next Steps in Crop Improvement: Adoption of Emerging Strategies to Identify Bottlenecks in Sugar Flux
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|c 2020
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 19.04.2021
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|a Date Revised 19.04.2021
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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| 520 |
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|a Copyright © 2020 Elsevier B.V. All rights reserved.
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|a Sugar allocation in plants is the fundamental process that transports sugar from source to sink tissues and has a dramatic impact on crop yields. Controlling sugar allocation is required to increase crop yields, as well as biomass for biofuel production. Successful examples have demonstrated that genetic engineering of sugar partitioning offers a promising strategy to achieve this goal. However, improvement has thus far been limited by gaps in understanding of the underlying mechanisms controlling the allocation of sugars. The dynamics of sugar partitioning are minimally predictable under different conditions, between species, or in response to abiotic stresses. Here, we discuss four methodologies that have not been sufficiently exploited for the identification of bottlenecks in sugar flux. Furthermore, we suggest how these strategies can be used and combined to provide the insight needed to maximize crop yields or biomass, especially under conditions of environmental stress
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|a Journal Article
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| 650 |
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|a Review
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|a Sugar flux
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| 650 |
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4 |
|a noninvasive imaging
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| 650 |
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4 |
|a plant modeling
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| 650 |
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4 |
|a single-cell RNA sequencing
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| 650 |
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4 |
|a single-cell proteomics
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| 650 |
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4 |
|a sink strength
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4 |
|a source strength
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| 650 |
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|a Sugars
|2 NLM
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| 700 |
1 |
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|a Xue, Xueyi
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Chen, Li-Qing
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Plant science : an international journal of experimental plant biology
|d 1985
|g 301(2020) vom: 15. Dez., Seite 110675
|w (DE-627)NLM098174193
|x 1873-2259
|7 nnas
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| 773 |
1 |
8 |
|g volume:301
|g year:2020
|g day:15
|g month:12
|g pages:110675
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| 856 |
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|u http://dx.doi.org/10.1016/j.plantsci.2020.110675
|3 Volltext
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