Project description:Purpose: this study provided a comprehensive sequence for a systemic view of the transcriptome between mango leaf and fruit, as well as fruit allergens, which will be useful for further genomic research studies and breeding of lower allergenic mango cultivars. Methods:Some allergens have previously been identified in mango (Mangifera indica Linn), including profilins, Bet v 1-like proteins and chitinase. In this paper, 66 potential allergen genes were identified and their relative expressions evaluated in mango fruit and leaf using Illumina RNA-Seq technology. Results:A total of 17.63Gb Clean Data was obtained.The number of %≥Q30 was above 94.58%.RNA-Seq generated 11,751,123 contigs that were assembled into 99,328 unigenes with 16,848 unigenes of >1000 bp. A total of 230,242 unigenes were annotated using public protein databases, with a cut-off E-value above 10−5, of which 27,295, 46,030, 24,227 and 14,023 unigenes were assigned to gene ontology terms, Nr, Swiss-Prot and clusters of orthologous groups, respectively. Allergens mainly belonged to pollen allergen, pathogenesis-related protein Bet v I family and NADPH-dependent FMN reductase.
Project description:Mango bacterial leaf spot, which is caused by Xanthomonas critis pv. mangiferaeindicae (Xcm), poses a great threat to the development of mango planting industry.This work is the first to study the changes in gene and protein expressions in mango during Xcm infection. Our findings will provide new ideas for MBLS resistance and valuable genetic resources for the breeding of MBLS-resistant mango.
Project description:Dataset presented in Mango manuscript. Contains Ecoli cross-linked with BDP-NHP. Demonstration of whole proteome in-vivo cross-linking without an instrument capable of serial fragmentation.
