Combined correlation-based network and mQTL analyses efficiently identified 
loci for branched-chain amino acid, serine to threonine, and proline metabolism 
in tomato seeds

Toubiana, David; Batushansky, Albert; Tzfadia, Oren; Scossa, F.; Khan, Asif; Barak, Simon; Zamir, Daniel; Fernie, A. R.; Nikoloski, Z.; Fait, Aaron

doi:10.1111/tpj.12717

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Combined correlation-based network and mQTL analyses efficiently identified loci for branched-chain amino acid, serine to threonine, and proline metabolism in tomato seeds

Toubiana, D., Batushansky, A., Tzfadia, O., Scossa, F., Khan, A., Barak, S., et al. (2015). Combined correlation-based network and mQTL analyses efficiently identified loci for branched-chain amino acid, serine to threonine, and proline metabolism in tomato seeds. The Plant Journal, 81(1), 121-133. doi:10.1111/tpj.12717.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-ADA4-6 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-0CEA-D

Genre: Journal Article

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Creators:
Toubiana, David¹, Author
Batushansky, Albert¹, Author
Tzfadia, Oren¹, Author
Scossa, F.², Author
Khan, Asif¹, Author
Barak, Simon¹, Author
Zamir, Daniel¹, Author
Fernie, A. R.², Author
Nikoloski, Z.³, Author
Fait, Aaron¹, Author

Affiliations:
1External Organizations, ou_persistent22
2Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753339
3Mathematical Modelling and Systems Biology, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753341

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Free keywords: correlation-based network analysis, network properties, tomato introgression line, Solanum lycopersicum cv. M82, Solanum pennellii accession LA0716, serine–glycine metabolism, amino acid regulator genes, metabolic profiling, sequence analysis

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Language(s): eng - English

Dates: Date issued: 2015

Publication Status: Issued

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Rev. Type: -

Identifiers: DOI: 10.1111/tpj.12717
BibTex Citekey: TPJ:TPJ12717

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Title: The Plant Journal

Other : Plant J.

Source Genre: Journal

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Publ. Info: Oxford : Blackwell Science

Pages: - Volume / Issue: 81 (1) Sequence Number: - Start / End Page: 121 - 133 Identifier: ISSN: 0960-7412
CoNE: https://pure.mpg.de/cone/journals/resource/954925579095_1