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  Can Metabolite- and Transcript-Based Selection for Drought Tolerance in Solanum tuberosum Replace Selection on Yield in Arid Environments?

Haas, M., Sprenger, H., Zuther, E., Peters, R., Seddig, S., Walther, D., et al. (2020). Can Metabolite- and Transcript-Based Selection for Drought Tolerance in Solanum tuberosum Replace Selection on Yield in Arid Environments? Frontiers in Plant Science, 11: 1071. doi:10.3389/fpls.2020.01071.

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Haas, M.1, Author              
Sprenger, H.2, Author              
Zuther, E.2, Author              
Peters, Rolf3, Author
Seddig, Sylvia3, Author
Walther, D.4, Author              
Kopka, J.5, Author              
Hincha, D. K.2, Author              
Koehl, K. I.1, Author              
Affiliations:
1Plant Cultivation and Transformation, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753305              
2Transcript Profiling, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753306              
3External Organizations, ou_persistent22              
4BioinformaticsCIG, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753303              
5Applied Metabolome Analysis, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753338              

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 Abstract: Climate models predict an increased likelihood of drought, demanding efficient selection for drought tolerance to maintain yield stability. Classic tolerance breeding relies on selection for yield in arid environments, which depends on yield trials and takes decades. Breeding could be accelerated by marker-assisted selection (MAS). As an alternative to genomic markers, transcript and metabolite markers have been suggested for important crops but also for orphan corps. For potato, we suggested a random-forest-based model that predicts tolerance from leaf metabolite and transcript levels with a precision of more than 90 independent of the agro-environment. To find out how the model based selection compares to yield-based selection in arid environments, we applied this approach to a population of 200 tetraploid Solanum tuberosum ssp. tuberosum lines segregating for drought tolerance. Twenty-four lines were selected into a phenotypic subpopulation (PPt) for superior tolerance based on relative tuber starch yield data from three drought stress trials. Two subpopulations with superior (MPt) and inferior (MPs) tolerance were selected based on drought tolerance predictions based on leaf metabolite and transcript levels from two sites. The 60 selected lines were phenotyped for yield and drought tolerance in 10 multi-environment drought stress trials representing typical Central European drought scenarios. Neither selection affected development or yield potential. Lines with superior drought tolerance and high yields under stress were over-represented in both populations selected for superior tolerance, with a higher number in PPt compared to MPt. However, selection based on leaf metabolites may still be an alternative to yield-based selection in arid environments as it works on leaves sampled in breeder’s fields independent of drought trials. As the selection against low tolerance was ineffective, the method is best used in combination with tools that select against sensitive genotypes. Thus, metabolic and transcript marker-based selection for drought tolerance is a viable alternative to the selection on yield in arid environments.

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: DOI: 10.3389/fpls.2020.01071
BibTex Citekey: 10.3389/fpls.2020.01071
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Title: Frontiers in Plant Science
  Abbreviation : Front. Plant Sci.
Source Genre: Journal
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Publ. Info: Lausanne : Frontiers Media
Pages: - Volume / Issue: 11 Sequence Number: 1071 Start / End Page: - Identifier: ISSN: 1664-462X
CoNE: https://pure.mpg.de/cone/journals/resource/1664462X