Project description:Temperature is an important factor that affects the growth and reproduction of mangrove plants. Laguncularia racemosa (L.) C.F. Gaertn is a controversial species in China, in terms of being a pioneer species for mangrove restoration and a putative invasive species occupying the natural habitats. One of its advantages is the strong resistance to low temperature, which makes L. racemose more adaptive to extreme climate change than local mangrove species. However, little is known about the regulatory mechanisms underlying the cold-stress tolerance in L. racemose, which restricted our understanding on its biological features and invasion potential. In this study, In the current study, we investigated the physiological and molecular mechanisms involved in chilling-stress adaptation in L. racemose. Freezing temperature caused damage to cell membrane system and reduced photosynthesis efficiency in L. racemose. To combat the adverse impacts, plasma membrane biosynthesis and antioxidant processes were substantially enhanced. Furthermore, we showed that there was a difference between the responses to freeze-thaw injury in L. racemose from different locations. It may provide new clues to the different genetic background between varieties of L. racemose. These novel findings could provide biochemical and genetic basis for the cultivation and restoration of L. racemose.
Project description:we used high-throughput Illumina Genome Analyzer IIx (GAIIx) technology to sequence the small RNA transcriptomes of the mangrove species, Avicennia marina. Based on sequence similarity or the secondary structure of precursors, we have identified 193 conserved miRNAs and 26 novel miRNAs in the small RNA transcriptome of Avicennia marina. 1 sample
Project description:The forebrain proteome of mangrove rivulus was determined in fish with different social behavior patterns. All fish were from and all experiments done in Professor Ryan Earley's Laboratory at the University of Alabama. Label-free quantitative proteomics was performed using Top3 (PEAKSQ) and spectral counting (Scaffold) approaches.
Project description:we used high-throughput Illumina Genome Analyzer IIx (GAIIx) technology to sequence the small RNA transcriptomes of the mangrove species, Avicennia marina. Based on sequence similarity or the secondary structure of precursors, we have identified 193 conserved miRNAs and 26 novel miRNAs in the small RNA transcriptome of Avicennia marina.
Project description:Preparation of proteins from salt-gland-enriched tissues of mangrove plant is necessary for a systematic study of proteins involved in the plant’s unique desalination mechanism. Extraction of high-quality proteins from the leaves of mangrove tree species, however, is difficult due to the presence of high levels of endogenous phenolic compounds. In our study, preparation of proteins from only a part of the leaf tissues was required, rendering extraction even more challenging. By comparing several extraction methods, we developed a reliable procedure for obtaining sufficient proteins from salt gland-enriched tissues of the mangrove species Avicennia officinalis. Protein extraction was markedly improved using a phenol-based extraction method. Despite the lower protein yield obtained, one-dimensional protein gel profiles with greater resolution could be obtained, with more than twice the number of proteins detected when 1D-LC-MS/MS analyses were compared. Further analysis of proteins that were solely present in each extraction method favoured the phenol-based extraction. Phenol-based extracts contained nearly 10 times more solely-detected proteins than those were detectable in the extracts without using phenol. The protocol established could thus be applied for downstream high-throughput proteomic analyses involving LC-MS/MS or equivalent.
Project description:Primary objectives: percentuale di pazienti che saranno sottoposti a resezione completa
Primary endpoints: Lo Studio si propone di aumentare la percentuale di resecabilita’ di pazienti con metastasi epatiche da carcinoma del colon retto.
Project description:Gill proteome of Mangrove killifish was compared by LC-MS/MS using 6 biological replicates of fish exposed to emersion stress versus 6 biological replicates kept under water that served as controls. PI: Experiments and fish exposures were performed in the laboratory of Prof. Patricia Wright at the University of Guelph (Canada).
Proteomics contact: Proteomics sample preparation and biological mass spectrometry were performed in the laboratory of Prof. Dietmar Kueltz laboratory at UC Davis (CA).
Project description:RNA-seq analysis showed that HK L-137 was able to modulate the gene expression of pathways related to molecular function, biological process and cellular component in DI, without compromising fish performance and gut microbiota. Considering these data, our study has shown that HK L-137 can modulate the physiological response of Atlantic salmon, making fish more robust and possibly more able to cope better under stress factors during production.
Project description:Replacement of high-value fish species with cheaper varieties or mislabelling of food unfit for human consumption is a global problem violating both consumers’ rights and safety. For distinguishing fish species in pure samples, DNA approaches are available; however, authentication and quantification of fish species in mixtures remains a challenge. In the present study, a novel high-throughput shotgun DNA sequencing approach applying masked reference libraries was developed and used for authentication and abundance calculations of fish species in mixed samples. Results demonstrate that the analytical protocol presented here can discriminate and predict relative abundances of different fish species in mixed samples with high accuracy. In addition to DNA analyses, shotgun proteomics tools based on direct spectra comparisons were employed on the same mixture. Similar to the DNA approach, the identification of individual fish species and the estimation of their respective relative abundances in a mixed sample also were feasible. Furthermore, the data obtained indicated that DNA sequencing using masked libraries predicted species-composition of the fish mixture with higher specificity, while at a taxonomic family level, relative abundances of the different species in the fish mixture were predicted with slightly higher accuracy using proteomics tools. Taken together, the results demonstrate that both DNA and protein-based approaches presented here can be used to efficiently tackle current challenges in feed and food authentication analyses.
