π§ Background & Motivation
Microbial communities in aquatic ecosystems are structured into free-living (FL) and particle-attached (PA) fractions, representing distinct ecological niches with different access to substrates, nutrients, and microenvironments. These size-fractionated communities play complementary roles in carbon cycling, nutrient transformation, and ecosystem functioning, yet their community assembly, metabolic strategies, and interaction networks remain poorly resolved, particularly under dynamic environmental conditions.
The Chesapeake and Delaware Bays, two geographically proximate but environmentally distinct estuaries along the U.S. Atlantic coast, differ in salinity gradients, particle load, light availability, and anthropogenic influence. These contrasts provide a natural framework to investigate how resource partitioning, substrate uptake, and microbial interactions shape FL and PA communities across seasons.
In this project, I applied read-based metagenomic and metatranscriptomic analyses across spring, summer, and fall to quantify taxonomic composition, metabolic potential, activity, co-occurrence patterns, and functional redundancy in FL and PA microbial communities.
π― Research Questions & Objectives
π¨βπ¬ My Role
This project is part of my primary postdoctoral research program.
π§© Challenges & Solutions
Challenge 1: Distinguishing true differential expression from differences driven by gene copy number variation
Solution: Implemented MTX modeling and DNA:RNA normalization approaches to decouple transcriptional activity from genomic abundance.
Challenge 2: Lack of an established functional redundancy framework for read-based datasets
Solution: Transformed and adapted MAG-based functional redundancy matrices for read-level data, enabling pathway-level FRed quantification without relying solely on genome bins.
Challenge 3: Inconsistent taxonomic lineage and trait assignments across profiling tools
Solution: Built a GTDB-Tkβbased reference framework to harmonize outputs from HUMAnN3, Kaiju, mOTUs, and MetaPhlAn, integrating Pfam- and KO-based functional annotations.
Challenge 4: Inferring robust microbial interaction networks from compositional data
Solution: Applied composition-aware network methods and cross-validated co-occurrence patterns across seasons, size fractions, and DNA/RNA datasets.
π Methods & Tools
*Data & Sequencing
*Bioinformatics & Network Analysis
*Taxonomy & Function
*Mapping & Quantification
*Network Analysis
*Languages & Workflow
π Publications
π€ Conferences & Talks
π§βπ¬ Collaborator / Reference
Dr. Barbara J. Campbell
Deanβs Distinguished Professor
Department of Biological Sciences, Clemson University
Email: bcampb7@clemson.edu