Autotrophic nitrogen removal by anaerobic ammonium oxidizing (anammox) bacteria is an energy-efficient nitrogen removal process in wastewater treatment. However, full-scale deployment under mainstream conditions remains challenging for practitioners due to the high stress susceptibility of anammox bacteria towards fluctuations in dissolved oxygen (DO) and temperature. Here, we investigated the response of microbial biofilms with verified anammox activity to DO shocks under 20 °C and 14 °C. While pulse disturbances of 0.3 mg L−1 DO prompted only moderate declines in the NH4+ removal rates, 1.0 mg L−1 DO led to complete but reversible inhibition of the NH4+ removal activity in all reactors. Genome-centric metagenomics and metatranscriptomics were used to investigate the stress response on various biological levels. We show that temperature regime and strength of DO perturbations induced divergent responses from the process level down to the transcriptional profile of individual taxa. Community-wide gene expression differed significantly depending on the temperature regime in all reactors, and we found a noticeable impact of DO disturbances on genes involved in transcription, translation, replication and posttranslational modification at 20 °C but not 14 °C. Genome-centric analysis revealed that different anammox species and other key biofilm taxa differed in their transcriptional responses to distinct temperature regimes and DO disturbances.

This study produced a comprehensive transcriptome from newly molted adult ticks and will provide a useful resource for studies of tick feeding and host perception and also assist genome annotation refinements. The goal was to develop a comprehensive transcriptome of adult female Rhipicephalus microplus ticks and discover transcriptome changes that are related to feeding and host-perception prior to feeding. We have sequenced the transcriptomes of unfed newly molted adult female ticks, newly molted adult females that were feeding upon a bovine host for 3 hours following attachment to the host, and newly molted adult females that were placed in a gas-permeable bag attached to a bovine host for 3 hours (attachment to host prevented but host odors available to the ticks). There were 2 biological replicates and transcriptomes assembled from each individual experimental condition. A collective adult female transcriptome was assembled from sequence data pooled from all 3 conditions (using data from all replicates). Differential gene expression was examined using all possible comparisons to detect putative feeding-associated and host perception-associated transcripts.

List of biomarker genes used to predict estrogen receptor activity in MCF-7 cells; list of microarray accession numbers used in the study. This dataset is associated with the following publication: Vanduyn, N., B. Chorley , R. Tice, R. Judson , and C. Corton. Moving Toward Integrating Gene Expression Profiling into High-throughput Testing:A Gene Expression Biomarker Accurately Predicts Estrogen Receptor α Modulation in a Microarray Compendium. TOXICOLOGICAL SCIENCES. Society of Toxicology, 151(1): 88-103, (2016).

Includes 1) list of genes in the STAT5b biomarker and 2) list of accession numbers for microarray datasets used in study. This dataset is associated with the following publication: Oshida, K., N. Vasani, D. Waxman, and C. Corton. Disruption of STAT5b-Regulated Sexual Dimorphism of the Liver Transcriptome by Diverse Factors Is a Common Event. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 11(3): NA, (2016).

File contains raw data collected on body and organ weights of mice given PFBS and body burden of the chemical after intervals of several hours, as well as expression of liver candidate genes for nuclear receptors at 24 h post-treatment. This dataset is associated with the following publication: Lau, C., J. Rumpler, K. Das, C. Wood, J. Schmid, M. Strynar, and J. Wambaugh. Pharmacokinetic profile of Perfluorobutane Sulfonate and activation of hepatic nuclear receptor target genes in mice. TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 441: 152522, (2020).