Document Type

Journal Article

Publication Title

Journal of Agricultural and Food Chemistry

Volume

72

Issue

48

First Page

27030

Last Page

27042

PubMed ID

39570711

Publisher

ACS

School

School of Science

RAS ID

77116

Funders

CSIRO Early Research Career Fellowship / ARC Centre of Excellence for Innovations in Peptide and Protein Science

Grant Number

ARC Number : CE200100012

Comments

Bose, U., Buck, S., Sirault, X., Bahmani, M., Byrne, K., Stockwell, S., ... & Ral, J. P. (2024). Chickpea proteome analysis reveals genotype-dependent variations associated with seed traits. Journal of Agricultural and Food Chemistry, 72(48), 27030-27042. https://doi.org/10.1021/acs.jafc.4c07669

Abstract

Chickpea (Cicer arietinum L.) is the second most widely grown legume crop after soybean. Here, we measured the macronutrients and performed proteome profiling of eight chickpea cultivars using two complementary protein extraction solvents. The total protein, starch, and soluble sugar contents significantly differ between cultivars, and we quantified 2434 and 1809 proteins, respectively, from urea- and water-based extraction solvents using a data-independent acquisition approach. The proteome-level differences can vary from 9-25% for the urea-extracted proteins, and the storage protein abundances significantly differed between the cultivars, where legumin content was detected as the highest, followed by vicilin and albumin. Fifty common allergens were detected from two extraction solvents, primarily overrepresented in chromosomes 3, 4, and 5. Integrated analysis revealed distinct subclusters of proteins and their associated pathways for total protein, lipids, and starch content. Overall, we established chickpea pan-proteome resources and provided insights into the key pathways that define the genotypes.

DOI

10.1021/acs.jafc.4c07669

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Included in

Food Science Commons

Share

 
COinS