Biology subjects

Liang, X.

Publications and source records attributed to Liang, X..

201 records · Page 12Linked to original sources

bioRxiv2017

Chlorinated electron acceptor availability selects for specific Dehalococcoides populations in dechlorinating enrichment cultures and in groundwater

Individual Dehalococcoides mccartyi (Dhc) strains differ primarily from one another by the number and identity of the reductive dehalogenase homologous catalytic subunit A (rdhA) genes contained within their respective genomes. While thousands of rdhA genes have been sequenced, the activity of the corresponding proteins have been identified in only a handful of cases. Most effort has focused on identifying the enzymes that dechlorinate substrates including trichloroethene (TCE), cis-dichloroethene (cDCE) and vinyl chloride (VC) relevant to groundwater remediation. The associated rdhA genes, namely tceA, bvcA, and vcrA, along with the D. mccartyi 16S rRNA gene are often used to track growth and dechlorinating activity in DNA extracted from field samples. In this study, we augmented the typical suite of three characterized rdhA genes to include an additional 12 uncharacterized rdhA sequences identified in the metagenome in the mixed Dhc-containing culture KB-1 to track population shifts within the culture and at two bioaugmented field sites. Quantitative PCR assays were developed for the 15 selected D. mccartyi rdhA genes and evaluated using 11 different sub-cultures of KB-1, each enriched on different chlorinated ethenes and ethanes. The proportion of rdhA gene copies relative to Dhc 16S gene copies indicated the presence of multiple distinct Dhc populations in each culture. The specific electron acceptor amended to each culture had a major influence on the distribution of D. mccartyi populations and their associated rdhA genes. We also surveyed the abundance of rdhA genes in samples obtained from two bioaugmented field sites. Growth of the dominant D. mccartyi population in the KB-1 inoculum was detected in the UK site samples. At both field sites, the measurement of relative rdhA abundances revaled significant D. mccartyi population shifts over time as dechlorination progressed from TCE through cDCE to VC and ethene, indicating that the selective pressure of the most abundant chlorinated electron acceptor that was observed in lab cultures was also occurring in the populations in the field. Understanding driving forces behind D. mccartyi population selection and activity is improving predictability of remediation performance at chlorinated solvent contaminated sites.

microbiology↗

bioRxiv2017

Integration of multiple data sources for gene network inference using genetic perturbation data

BackgroundThe inference of gene regulatory networks is of great interest and has various applications. The recent advances in high-throughout biological data collection have facilitated the construction and understanding of gene regulatory networks in many model organisms. However, the inference of gene networks from large-scale human genomic data can be challenging. Generally, it is difficult to identify the correct regulators for each gene in the large search space, given that the high dimensional gene expression data only provides a small number of observations for each gene.\n\nResultsWe present a Bayesian approach integrating external data sources with knockdown data from human cell lines to infer gene regulatory networks. In particular, we assemble multiple data sources including gene expression data, genome-wide binding data, gene ontology, known pathways and use a supervised learning framework to compute prior probabilities of regulatory relationships. We show that our integrated method improves the accuracy of inferred gene networks. We apply our method to two different human cell lines, which illustrates the general scope of our method.\n\nConclusionsWe present a flexible and systematic framework for external data integration that improves the accuracy of human gene network inference while retaining efficiency. Integrating various data sources of biological information also provides a systematic way to build on knowledge from existing literature.

systems biology↗

bioRxiv2017

Pleiotropic Chemoreceptors Facilitate The Maintenance Of Signal-Receptor Coupling In Pheromonal Communication

Optimal mating decisions depend on stable signaling systems because any independent changes in either the signal or its perception could carry a fitness cost. However, since the perception and production of specific mating signals are often mediated by different tissues and cell types, the genetic and cellular mechanisms that drive and maintain their coupling on the evolutionary and physiological timescales remain unknown for most animal species. Here, we show that in Drosophila melanogaster, sensory perception and synthesis of an inhibitory mating pheromone is regulated by the action of Gr8a, a member of the Gustatory receptor gene family. Particularly, Gr8a acts as a pheromone chemoreceptor in the sensory system of males and females, and, independently regulates pheromone synthesis in the male fat body and oenocytes. These data provide a relatively simple molecular explanation for how genetic coupling allows for the robust and stable flow of social information at the population level.

genetics↗