Transcriptome and proteomic analysis of mango (Mangifera indica Linn) fruits

Morphological and molecular characterization and evaluation of mango germplasm: An overview

“…Proteomic analysis is considered a powerful tool to understand physiology of the fruit development and subsequent ripening at molecular level (Wu et al, 2014). So, proteomic analysis of mango is call of the time because information generated by proteomics can be used for the specific evaluation of a wide range of the genetic characteristics of a specific variety/cultivar or species (Wu et al, 2014). The information about the particular genes ascribing specific traits of current importance can also be achieved by proteomic studies (Wienkoop et al, 2008).…”

“…'Keitt' for the identification of most of the proteins within the pulp tissues resulted in identification of the differentially abundant proteins species . Transcriptome and proteomic analysis of pericarp and pulp of 'Zill' mango during development and ripening stages also generated comprehensive proteome information (Wu et al, 2014). Likewise, leaf transcriptome and chloroplast genome analysis of 'Langra' mango generated 30,509 unigenes responsible for the biosynthesis-pathways of several bioactive compounds like carotenoids, flavonoids and terpenoids (Azim et al, 2014).…”

Development of EST-SSR and TRAP markers from transcriptome sequencing data of the mango

“…EST-SSR primers were designed using the mango EST database that was constructed from transcriptome sequencing in our laboratory (Wu et al, 2014). The primers were designed with Primer Premier 5.0 (Lalitha, 2000).…”

Transcriptomic and proteomic analyses of splenic immune mechanisms of rainbow trout (Oncorhynchus mykiss) infected by Aeromonas salmonicida subsp. salmonicida

“…Although, transcriptome analysis has provided a new gateway for identifying levels of gene expression and new transcripts and has thus become a powerful tool for species that lack reference genome information, a comparison of mRNA expression levels, protein amounts, and enzymatic activities has revealed low correlations between metabolome and transcriptome, indicating that transcriptome analysis is insufficient to understand protein dynamics or biochemical regulation [15,16]. A more direct correlation is expected for proteins and biological processes [16], making quantitative mass spectrometric (MS) proteomics an attractive approach [17], and a relative quantification approach based on MS results is the ultimate way to go. Moreover, the isobaric tags for relative and absolute quantitation (iTRAQ) are demonstrated to be more reliable and accurate than two-dimensional differential gel electrophoresis and other proteomic methods in identifying and quantifying proteins [18], and have been increasingly applied to examine differentially expressed proteins in different aquatic animals, such as zebrafish (Danio rerio), marine medaka (Oryzias melastigma) and Chinese mitten crab Eriocheir sinensis, in response to different pathogens, i.e.…”

“…In recent years, studies by combination of transcriptome and proteome have become more and more popular [17,[27][28][29][30], especially for non-model organisms and those lacking reference genomes. In most studies, proteome analysis was conducted based on the transcriptome analysis as it was thought that transcriptome deduced proteins could cover almost all of the proteins found in iTRAQ [27].…”