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  A Comprehensive Metabolomics and Lipidomics Atlas for the Legumes Common Bean, Chickpea, Lentil and Lupin

Bulut, M., Wendenburg, R., Bitocchi, E., Bellucci, E., Kroc, M., Gioia, T., et al. (2023). A Comprehensive Metabolomics and Lipidomics Atlas for the Legumes Common Bean, Chickpea, Lentil and Lupin. The Plant Journal, 116(4), 1152-1171. doi:10.1111/tpj.16329.

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Genre: Journal Article
Alternative Title : The Plant Journal

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 Creators:
Bulut, M.1, Author           
Wendenburg, R.2, Author           
Bitocchi, Elena3, Author
Bellucci, Elisa3, Author
Kroc, Magdalena3, Author
Gioia, Tania3, Author
Susek, Karolina3, Author
Papa, Roberto3, Author
Fernie, A. R.2, Author           
Alseekh, S.1, Author           
Affiliations:
1The Genetics of Crop Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_3397071              
2Central Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_3396323              
3external, ou_persistent22              

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Free keywords: legumes, chickpea, common bean, lentil, lupin, metabolomics, lipidomics
 Abstract: SUMMARY Legumes represent an important component of human and livestock diets; they are rich in macro- and micronutrients such as proteins, dietary fibers and polyunsaturated fatty acids. Whilst, several health-promoting and anti-nutritious properties have been associated with grain content, in-depth metabolomics characterization of major legume species remains elusive. In this article, we used both gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) to assess the metabolic diversity in the five legume species commonly grown in Europe, including common bean, chickpea, lentil, white and pearl lupin at the tissue-specific level. We were able to detect and quantify over 3,430 metabolites covering major nutritional and anti-nutritional compounds. Specifically, the metabolomics atlas includes 224 derivatized metabolites, 2283 specialized metabolites, and 923 lipids. The data generated here will serve the community as a basis for future integration to metabolomics-assisted crop breeding and facilitate the metabolite-based genome-wide association study (mGWAS) to dissect the genetic and biochemical bases of metabolism in legume species.

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Language(s): eng - English
 Dates: 2023-06-012023-11
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1111/tpj.16329
 Degree: -

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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: 116 (4) Sequence Number: - Start / End Page: 1152 - 1171 Identifier: ISSN: 0960-7412
CoNE: https://pure.mpg.de/cone/journals/resource/954925579095_1