A proteomic analysis of peanut seed at different stages of underground development to understand the changes of seed proteins.

Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Original Publication: San Francisco, CA : Public Library of Science

Arachis/*embryology ; Seed Storage Proteins/*metabolism ; Seeds/*growth & development; Allergens/metabolism ; Arachis/growth & development ; Arachis/metabolism ; Electrophoresis, Gel, Two-Dimensional ; Gene Expression Regulation, Plant ; Protein Interaction Maps ; Proteomics ; RNA, Plant/metabolism ; Real-Time Polymerase Chain Reaction ; Seed Storage Proteins/physiology ; Seeds/metabolism ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

In order to obtain more valuable insights into the protein dynamics and accumulation of allergens in seeds during underground development, we performed a proteomic study on developing peanut seeds at seven different stages. A total of 264 proteins with altered abundance and contained at least one unique peptide was detected by matrix-assisted laser desorption ionization time-of-flight/time-of-flight mass spectrometry (MALDI-TOF/TOF MS). All identified proteins were classified into five functional categories as level 1 and 20 secondary functional categories as level 2. Among them, 88 identified proteins (IPs) were related to carbohydrate/ amino acid/ lipid transport and metabolism, indicating that carbohydrate/amino acid/ lipid metabolism played a key role in the underground development of peanut seeds. Hierarchical cluster analysis showed that all IPs could be classified into eight cluster groups according to the abundance profiles, suggesting that the modulatory patterns of these identified proteins were complicated during seed development. The largest group contained 41 IPs, the expression of which decreased at R 2 and reached a maximum at R3 but gradually decreased from R4. A total of 14 IPs were identified as allergen-like proteins by BLAST with A genome (Arachis duranensis) or B genome (Arachis ipaensis) translated allergen sequences. Abundance profile analysis of 14 identified allergens showed that the expression of all allergen proteins was low or undetectable by 2-DE at the early stages (R1 to R4), and began to accumulate from the R5 stage and gradually increased. Network analysis showed that most of the significant proteins were involved in active metabolic pathways in early development. Real time RT-PCR analysis revealed that transcriptional regulation was approximately consistent with expression at the protein level for 8 selected identified proteins. In addition, some amino acid sequences that may be associated with new allergens were also discussed.
Competing Interests: B.Z. and R.Z. have commercial affiliations with Deepxomics Co., Ltd. There are no patents, products in development, or marketed products to declare. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

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0 (Allergens)
0 (RNA, Plant)
0 (Seed Storage Proteins)

Date Created: 20201207 Date Completed: 20210120 Latest Revision: 20210120

20250114

PMC7721164

10.1371/journal.pone.0243132

33284814