Functional annotation of mulberry (Morus spp.) transcriptome, differential expression of genes related to growth and identification of putative genic SSRs, SNPs and InDels

Transcriptome analysis of mulberry (Morus alba L.) leaves to identify differentially expressed genes associated with post-harvest shelf-life elongation

Present study deals with molecular expression patterns responsible for post-harvest shelf-life extension of mulberry leaves. Quantitative profiling showed retention of primary metabolite and accumulation of stress markers in NS7 and CO7 respectively. The leaf mRNA profiles was sequenced using the Illumina platform to identify DEGs. A total of 3413 DEGs were identified between the treatments. Annotation with Arabidopsis database has identified 1022 DEGs unigenes. STRING generated protein-protein interaction, identified 1013 DEGs nodes with p < 1.0e-16. KEGG classifier has identified genes and their participating biological processes. MCODE and BiNGO detected sub-networking and ontological enrichment, respectively at p ≤ 0.05. Genes associated with chloroplast architecture, photosynthesis, detoxifying ROS and RCS, and innate-immune response were significantly up-regulated, responsible for extending shelf-life in NS7. Loss of storage sucrose, enhanced activity of senescence-related hormones, accumulation of xenobiotics, and development of osmotic stress inside tissue system was the probable reason for tissue deterioration in CO7. qPCR validation of DEGs was in good agreement with RNA sequencing results, indicating the reliability of the sequencing platform. Present outcome provides a molecular insight regarding involvement of genes in self-life extension, which might help the sericulture industry to overcome their pre-existing problems related to landless farmers and larval feeding during monsoon.

Draft genome sequence of Indian mulberry (Morus indica) provides a resource for functional and translational genomics

Mulberry is an important crop plant for the sericulture industry. Here, we report high-quality genome sequence of a cultivated Indian mulberry (Morus indica cv K2) obtained by combining data from four different technologies, including Illumina, single-molecule real-time sequencing, chromosome conformation capture and optical mapping, with a gene completeness of 96.5%. Based on the genome sequence, we identified 49.2% of repetitive DNA and 27,435 high-confidence protein-coding genes with >90% of them supported by transcript evidence. A comparative analysis with other plant genomes identified 4.8% of species-specific genes in the M. indica genome. Transcriptome profiling revealed tissue-specific and differential expression across multiple accessions of ~4.7% and 2-5% of protein-coding genes, respectively, implicated in diverse biological processes. Whole genome resequencing of 21 accessions/species revealed ~2.5 million single nucleotide polymorphisms and ~ 0.2 million insertions/deletions. These data and results provide a comprehensive resource to accelerate the genomics research in mulberry for its improvement.