Gene Expression Defines Natural Changes in Mammalian Lifespan
ABSTRACT: Mammals differ more than hundred fold in maximum lifespan, which can be altered in either direction during evolution, but the molecular basis for natural changes in longevity is not understood. Divergent evolution of mammals also led to extensive changes in gene expression within and between lineages. To understand the relationship between lifespan and variation in gene expression, we carried out RNA-seq-based gene expression analyses of liver, kidney and brain of 33 diverse species of mammals. Our analysis uncovered parallel evolution of gene expression and lifespan, as well as the associated life history traits, and identified the processes and pathways involved. These findings provide direct insights into how Nature reversibly adjusts lifespan and other traits during adaptive radiation of lineages. RNA-seq gene expression profiling in normal liver, kidney and brain of 33 mammalian species.
SUBMITTER: Alexey V Lobanov Alexey FushanAlexey A FushanVadim N GladyshevSun H YimEun B KimAnton A TuranovSang G Lee
Mammals differ more than 100-fold in maximum lifespan, which can be altered in either direction during evolution, but the molecular basis for natural changes in longevity is not understood. Divergent evolution of mammals also led to extensive changes in gene expression within and between lineages. To understand the relationship between lifespan and variation in gene expression, we carried out RNA-seq-based gene expression analyses of liver, kidney, and brain of 33 diverse species of mammals. Our ...[more]
Project description:Spatial regulation analysis across multiple condition comparisons revealed distinct patterns of gene expression. We combined these transcriptome data with spatial CNS data to produce the spatio-transcripto map of the ganglia chain. The Hirudo Medicinalis set of transcripts generated here provides a resource for gene discovery and gene regulation within the nervous system. In addition, the strategy for de novo assembly of transcriptome data presented here may be helpful in other similar transcriptome studies. Examination of 3 different ganglia in 3 different leeches.
Project description:In this study, we performed de novo transcriptome assembly for L. japonica, representing transcripts from nine different tissues. A total of 22Gbps clean RNA-seq reads from nine tissues of L. japonica were used, resulting in 243,185 unigenes, with 99,938 unigenes annotated based on homology search using blastx against NCBI-nr protein database. Unsupervised principal component analysis and correlation studies using transcripts expression data from all nine tissues of L. japonica showed relationships between tissues explaining their association at different developmental stages. Homologs for all genes associated with chlorogenic acid, luteolin, and secoiridoid biosynthesis pathways were identified in the L. japonica transcriptome assembly. Expression of unigenes associated with chlorogenic acid were enriched in stem and leaf-2, unigenes from luteolin were enriched in stem and flowers, while unigenes from secoiridoid metabolic pathways were enriched in leaf-1 and shoot apex. Our results showed that different tissues of L. japonica are enriched with sets of unigenes associated with a specific pharmaceutically important metabolic pathways, and therefore, possess unique medicinal properties. Present study will serve as a resource for future attempts for functional characterization of enzyme coding genes within key metabolic processes. De novo transcriptome assembly and characterization, and transcriptome profiling for nine tissues of Lonicera japonica
Project description:Here, we performed deep transcriptome sequencing for the aerial-tissues and the roots of S. japonica, generating over 2 billion raw reads with an average length of 101 nt by using an Illumina paired-end sequencing by HiSeq2000 platform. Using a combined approach of three popular assemblers, de novo transcriptome assembly for S. japonica was obtained, yielding in 81,729 unigenes with an average length as 884bps and N50-value as 1,452bps, with 46,963 unigenes being annotated based on the sequence similarity against NCBI-nr protein database. Transcriptome profiling of the aerial-tissues and the roots of Swertia japonica
Project description:Plant growth promoting bacteria (PGPB) might be an alternative to increase nitrogenous use efficiency (NUE) in important crops such wheat. Azospirillum brasilense is one of the most promising PGPB and wheat roots colonized by Azospirillum brasilense is a good model to investigate the molecular basis of plant-PGPB interaction including improvement in plant-NUE promoted by PGPB. An RNA-seq transcriptional analysis of Triticum aestivum roots was carried out in two independent samples (biological replicates) of each treatment (PGPB-colonized or non-inoculated), yielding a total of 4 sequencing libraries, which were designated CWR1 and CWR2 libraries (colonized roots) and N-IWR1 and N-IWR2 (non-inoculated roots).
Project description:Long noncoding RNAs (lncRNAs) have been described in cell lines and various whole tissues, but lncRNA analysis of development in vivo is limited. Here, we comprehensively analyze lncRNA expression for the adult mouse subventricular zone neural stem cell lineage. We utilize complementary genome-wide techniques including RNA-seq, RNA CaptureSeq, and ChIP-seq to associate specific lncRNAs with neural cell types, developmental processes, and human disease states. By integrating data from chromatin state maps, custom microarrays, and FACS purification of the subventricular zone lineage, we stringently identify lncRNAs with potential roles in adult neurogenesis. shRNA-mediated knockdown of two such lncRNAs, Six3os and Dlx1as, indicate roles for lncRNAs in the glial-neuronal lineage specification of multipotent adult stem cells. Our data and workflow thus provide a uniquely coherent in vivo lncRNA analysis and form the foundation of a user-friendly online resource for the study of lncRNAs in development and disease. RNA CaptureSeq was perfomed on RNA extracted from adult mouse subventricular zone to better characterize rare lncRNA isoforms. Genomic regions used to design capture array are included in the raw file target_regions.bed.
Project description:In order to provide a global insight on the transcripts expressed in the venom gland of the Brazilian ant species Tetramorium bicarinatum and to unveil the potential of its products, high-throughput expressed sequence tags were generated using Illumina paired-end sequencing technology. A total of 212,371,758 pairs of quality-filtered, 100-base-pair Illumina reads were obtained. The de novo assemblies yielded 36,042 contigs for which 27,873 have at least one predicted ORF among which 59.77% produce significant hits in the available databases. The investigation of the reads mapping toxin class revealed a high diversification with the major part consistent with the classical hymenopteran venom protein signature represented by venom allergen (33.3%) followed by a diverse toxin-expression profile including several distinct isoforms of phospholipase A1 and A2, venom serine protease, hyaluronidase, protease inhibitor and secapin. Moreover, our results revealed for the first time the presence of toxin-like peptides that have been previously identified from unrelated venomous animals such as waprin-like (snakes) and agatoxins (spiders and conus). 300 ant specimens from the species Tetramorium bicarinatum were dissected in order to extract the RNA from their venom gland, The whole ant body was used as a reference,
Project description:Here, we develop a systems-level approach leveraging powerful next generation sequencing, proteomics and phenotypic studies to rapidly obtain an integrated view of lignocellulose degradation in the earliest free living fungi RNA-seq of Piromyces grown on Glucose, Cellulose, Cellulobiose, Avicel, Filter paper, and time-course of transient glucose pulse (catabolite repression). N>=2