PLoS ONE · 2019 · 17 citations · 49 references
Life SciencesBioinformaticsMolecular BiologyGenomicsProteomicsSequence AnalysisHeavy Metal BioaccumulationProtein Sequence AnalysisHeavy Metal Stress ResponseMetal-binding ProteinsProtein Reference DatabasesProtein Sequence Database ConstructionProteome AnnotationReference Transcriptome ConstructionReference-based Transcriptome AnalysisTranscriptome Sequencing
The Byssus, which is derived from the foot gland of mussels, has been proved to bind heavy metals effectively, but few studies have focused on the molecular mechanisms behind the accumulation of heavy metals by the byssus. In this study, we integrated high-throughput transcriptome and proteome sequencing to construct a comprehensive protein database for the byssus of Chinese green mussel (Perna viridis), aiming at providing novel insights into the molecular mechanisms by which the byssus binds to heavy metals. Illumina transcriptome sequencing generated a total of 55,670,668 reads. After filtration, we obtained 53,047,718 clean reads and subjected them to de novo assembly using Trinity software. Finally, we annotated 73,264 unigenes and predicted a total of 34,298 protein coding sequences. Moreover, byssal samples were analyzed by proteome sequencing, with the translated protein database from the foot transcriptome as the reference for further prediction of byssal proteins. We eventually determined 187 protein sequences in the byssus, of which 181 proteins are reported for the first time. Interestingly, we observed that many of these byssal proteins are rich in histidine or cysteine residues, which may contribute to the byssal accumulation of heavy metals. Finally, we picked one representative protein, Pvfp-5-1, for recombinant protein synthesis and experimental verification of its efficient binding to cadmium (Cd2+) ions.
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Full-length transcriptome assembly from RNA-Seq data without a reference genome
Manfred Grabherr, Brian J. Haas, Moran Yassour et al. · Nature Biotechnology · 2011 · 22.6K citations · Full text
CD-HIT: accelerated for clustering the next-generation sequencing data
LiMin Fu, Beifang Niu, Zhengwei Zhu et al. · Bioinformatics · 2012 · 11.8K citations · Full text
Life Sciences, Bioinformatics, High-performance Computing +12