Dataset Information

Activity Identification and Proteomics Analysis of Water-Soluble Proteins in Cocoon Coat from Different Silkworm Varieties

ABSTRACT: This study established, for the first time, a system for extracting water-soluble active proteins from the cocoon layers of multiple pigmented silkworm varieties and systematically evaluated their consistent antioxidant activities together with variety-specific antimicrobial functions. DIA-based proteomics identified 462 catalytic and binding proteins, revealing compositional differences among the three varieties and demonstrating that active protein diversity underlies the observed divergence in antimicrobial efficacy. Differential protein analysis highlighted zonadhesin-like proteins as key components, with TIL domains predicted by AlphaFold 3 to form a unique convex loop-mediated interaction interface. This work provides the first evidence of high-abundance insect-derived zonadhesin-like proteins in the cocoon matrix, and although their functional roles remain uncharacterized, the finding establishes a novel direction for future mechanistic research.

ORGANISM(S): Bombyx Mori

SUBMITTER: Chun Liu

PROVIDER: PXD076347 | iProX | Mon Mar 30 00:00:00 BST 2026

REPOSITORIES: iProX

ACCESS DATA

Similar Datasets

Project description:Plant architecture is a critical trait in fruit crops that can significantly influence yield, pruning, planting density and harvesting. Most of the existing varieties of olive are traditional and their architecture is poorly suited for modern growing and harvesting systems. This study focuses on the identification of candidate genes involved in determining plant architecture in olive that could help in selecting phenotypes adapted to modern cultivation practices. We previously developed the first microarray for olive, as a means to discover candidate genes involved in relevant agronomical traits. The microarray has already been applied to identify candidates genes involved in regulating juvenile to adult transition in the shoot apex of seedlings. In the present study, made in the framework of an olive breeding program, varieties displaying differences in architecture and pooled seedlings grouped by their architecture-related phenotypes, were analysed using microarray analysis of meristematic tissue. We identify 2,258 differentially expressed genes potentially involved in determining plant architecture. Varieties with opposite architecture phenotypes and individuals from segregating progenies displaying extreme architecture features, constitute our key to linking phenotype to expression. We analyze some of the genes with potentially interesting functional annotation using quantitative RT-PCR assays, in the reference varieties and individual seedlings. Arabidopsis mutants in putative orthologs of some of the candidate genes show altered architecture, indicating functional conservation between the two species and supporting both, the biological relevance of the results, and the potential of the identified genes as markers for assisted breeding for olive varieties suited for high density orchards. Active or dormant meristems to be used for expression analysis were collected from individual olive trees from four varieties Picual, Arbequina, Arbosana and Chiquitita and from seedlings of a Picual x Arbequina progeny, all of the showing variability for growth habit. Plant material was provided by the olive breeding program of Cordoba. Harvesting was carried out between 8:00 to 11:00 a.m., at the end of Spring. Samples were immediately frozen in liquid nitrogen, and maintained afterwards at -80 ÂºC. Samples of the Picual x Arbequina seedlings used to generate pools were harvested individually and 0.2 g of tissue per individual mixed and processed together to obtain RNA to be used for microarray analysis.

Project description:Introduction: Pre-harvest Sprouting (PHS) seriously affects wheat quality and yield. However, to date there have been limited reports. It is of great urgency to breed resistance varieties via quantitative trait nucleotides (QTNs) or genes for PHS resistance in white-grained wheat. Methods: 629 Chinese wheat varieties, including 373 local wheat varieties from 70 years ago and 256 improved wheat varieties were phenotyped for spike sprouting (SS) in two environments and genotyped by wheat 660K microarray. These phenotypes were used to associate with 314,548 SNP markers for identifying QTNs for PHS resistance using several multi-locus genome-wide association study (GWAS) methods. Their candidate genes were verified by RNA-seq, and the validated candidate genes were further exploited in wheat breeding. Results: As a result, variation coefficients of 50% and 47% for PHS in 629 wheat varieties, respectively, in 2020-2021 and 2021-2022 indicated large phenotypic variation, in particular, 38 white grain varieties appeared at least medium resistance, such as Baipimai, Fengchan 3, and Jimai 20. In GWAS, 22 significant QTNs, with the sizes of 0.06% ~ 38.11%, for PHS resistance were stably identified by multiple multi-locus methods in two environments, e.g., AX-95124645 (chr3D:571.35Mb), with the sizes of 36.390% and 45.850% in 2020-2021 and 2021-2022, respectively, was detected by several multi-locus methods in two environments. As compared with previous studies, the AX-95124645 was used to develop Kompetitive Allele-Specific PCR marker QSS.TAF9-3D (chr3D:569.17Mb~573.55Mb) for the first time, especially, it is available in white-grain wheat varieties. Around this locus, nine genes were significantly differentially expressed, and two of them (TraesCS3D01G466100 and TraesCS3D01G468500) were found by GO annotation to be related to PHS resistance and determined as candidate genes. Discussion: The QTN and two new candidate genes related to PHS resistance were identified in this study. The QTN can be used to effectively identify the PHS resistance materials, especially, all the white-grained varieties with QSS.TAF9-3D-TT haplotype are resistant to spike sprouting. Thus, this study provides candidate genes, materials, and methodological basis for breeding wheat PHS resistance in the future.

Dataset Information

Activity Identification and Proteomics Analysis of Water-Soluble Proteins in Cocoon Coat from Different Silkworm Varieties

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets