Project description:In this study, we aim to present a global view of transcriptome dynamics in different tissues/organs/developmental stage in chickpea. We generated about ~31-95 million reads from each of 94 libraries representing 32 different tissues/organs using Illumina platform. We generated a hybrid assembly of these data along with PacBio data to produce full-length transcriptome assembly. We mapped the reads to the transcriptome assembly for estimation of the abundance of coding and long non-coding transcripts in different tissue samples. The transcriptome dynamics was studied by differential and tissue-specific expression analyses, and co-expression network and transcriptional regulatory network analyses.
Project description:Global warming has shifted climate zones poleward or upward. However, understanding the responses and mechanism of microbial community structure and functions relevant to natural climate zone succession is challenged by the high complexity of microbial communities. Here, we examined soil microbial community in three broadleaved forests located in the Wulu Mountain (WLM, temperate climate), Funiu Mountain (FNM, at the border of temperate and subtropical climate zones), or Shennongjia Mountain (SNJ, subtropical climate).Soils were characterized for geochemistry, Illumina sequencing was used to determine microbial taxonomic communities and GeoChips 5.0 were used to determine microbial functional genes.
Project description:The synthetic microbial community used in this study was composed of the major functional guilds (cellulolytic fermenter, sulfate reducer, hydrogenotrophic methanogen and acetoclastic methanogen) that mediate the anaerobic conversion of cellulosic biomass to CH4 and CO2 in wetland soils. The choice of a facultative sulfate-reducing bacterium (Desulfovibrio vulgaris Hildenborough) introduced metabolic versatility and enabled investigations into the community response to sulfate intrusion. The growth status of these multi-species cultures was measured over a week by daily analysis of substrate consumption and product accumulation. The quad-cultures were analyzed with metaproteomics at the end of experiment to characterize the community structure and metabolic activities.
Project description:We used PacBio data to identify more reliable transcripts from hESC, based on which we can estimate gene/transcript abundance better from Illumina data. PacBio long reads and Illumina short reads were generated from the same hESC cell line H1. PacBio reads were error-corrected by Illumina reads to identify transcripts. rSeq is used to estimate gene/transcript abundance of the identified transcriptome.