Biology subjects

Jordan, H. R.

Publications and source records attributed to Jordan, H. R..

5 recordsLinked to original sources

bioRxiv2026

Multidomain triple target capture for navigating complex symbioses

Amplicon sequencing remains the benchmark technique for characterizing microbial communities, but the limitations of PCR bias and single-locus targets conspire to limit conclusions. Metagenomics, the primary alternative, shares with amplicon sequencing challenges of economic scaling at adequate sequencing depth. Targeted enrichment strategies can improve the data resolution and economics of sequencing efforts while reducing methodological bias. Here, we develop a target capture strategy for metagenomic characterization of eukaryotic ribosomal DNA and root nodule symbiosis genes and test it in the metagenomes of plant root nodules. We utilize biotinylated RNA probes to selectively capture genomic regions of interest from complex environmental DNA samples, avoiding forms of PCR bias that can undermine community characterization and overcoming the need for conserved priming sites often lacking in functional genes. We designed custom probe sets targeting conserved flanking regions of eukaryotic ITS and known root nodule symbiosis (RNS)-related genes and tested them on diverse root nodule metagenomes and a mock community. We observed high recovery of target loci from samples, very high on-target read proportions, and enhanced detection of low-abundance taxa compared to amplicon sequencing, including stronger alignment with known mock community compositions. This approach will enable deeper insights into the phylogenetic diversity of eukaryotic symbionts, their genomic adaptations, and the functional potential of symbiotic interactions in a cost-effective manner suitable for large-scale projects. This strategy advances our understanding of microbial community dynamics and symbiotic relationships in natural and anthropogenic ecosystems.

ecology↗

bioRxiv2026

A Perfect Soldier: the black soldier fly as a microbial-mediated physiological resilience model .

Understanding the complex interplay between a host, its diet, and its microbiome is crucial for comprehending an organisms health and adaptability. Diet impacts both the host and microbiome, which then influence each other. We used black soldier fly larvae (Hermetia illucens) as a model to investigate this tripartite interaction due to its resilience and bioconversion capabilities. We analyzed life-history traits and metatranscriptomics in larvae fed three diets: carbohydrate-rich, protein-rich, and balanced. Our results showed that dietary macronutrients correlated with shifts in the microbial community and gene expression. The carbohydrate-rich diet, in particular, led to increased microbial diversity and carbohydrate metabolism transcripts. However, this diet also negatively affected larval weight and development, suggesting potential host control over the microbiome. Overall, black soldier fly performance was highest on the balanced diet. This study highlights the black soldier flys resilience and its value as a model for exploring host-diet-microbe interactions. Significance StatementUnderstanding the intricate interplay between an organism, its diet, and its microbiome is fundamental to health and adaptability. This complex tripartite relationship, where dietary macronutrients influence microbial communities and their gene expression, while the host maintains control, is crucial for addressing global challenges from sustainable food systems to personalized medicine. Using the black soldier fly as a resilience model, our metatranscriptomic study reveals how specific dietary shifts impact both host and microbial gene expression, providing mechanistic insights into nutrient utilization and adaptability with broad implications for diverse biological systems, including animals and humans.

systems biology↗

bioRxiv2024

Detection of known and novel virus sequences in the black solider fly and expression of host antiviral pathways

Mass rearing of animals in close quarters can be highly conducive to microbe transmission, including pathogens. This has been shown multiple times in the case of important industrial insects such as crickets, silkworms, and honeybees. One industrial insect of increasing importance is the black soldier fly (Diptera: Hermetia illucens), as it can convert organic waste into high quality protein and fatty acids. Along with this, they take up far less space than traditional protein sources, as millions of black soldier flies can be reared in a relatively small facility. Because of this, there is a growing interest in the pathogens that could impact black soldier fly rearing efforts. So far, only three black soldier fly-associated viruses have been identified. We used metatranscriptomic sequencing to survey black soldier fly guts, frass, and diet for viruses. We detected sequences from two novel viruses. One, which we name Hermetia illucens sigma-like virus 1, is phylogenetically related to viruses of the genus Sigmavirus, which have been highly studied in Drosophila. The other novel virus, which we name Hermetia illucens toti-like virus 2, is the second toti-like virus to be described in the black soldier fly. We also detected two black soldier fly-associated viruses previously identified by our group: BSF nairo-like virus, and BSF uncharacterized bunya-like virus. Consistent with our previous study, these two viruses are found primarily in frass samples and occur together more often than expected at random. When analyzing host transcription, we found significant differences in gene expression for eight candidate antiviral genes in black soldier fly when comparing samples with and without viral sequences. Our results suggest that black soldier fly-virus interactions are ongoing, and they could be of interest to black soldier fly producers.

bioinformatics↗

bioRxiv2023

Bioinformatic Surveillance Leads to Discovery of Two Novel Putative Bunyaviruses Associated with Black Soldier Fly

The black soldier fly (Hermetia illucens, BSF) has emerged as an industrial insect of high promise because of its ability to convert organic waste into nutritious feedstock, making it an environmentally sustainable alternative protein source. As global interest rises, rearing efforts are also upscaled, which is highly conducive to pathogen transmission. Viral epidemics have stifled mass-rearing efforts of other insects of economic importance, such as crickets, silkworms, and honeybees, but little is known about the viruses that associate with BSF. Although it is thought that BSF are unusually resistant to pathogens because of their expansive antimicrobial gene repertoire, surveillance techniques could be useful to identify emerging pathogens and common BSF microbes. In this study, we used high-throughput sequencing data to survey BSF larvae and frass samples, and we identified two novel bunyavirus-like sequences. Our phylogenetic analyses grouped one in the family Nairoviridae, and the other with two unclassified bunyaviruses. We describe these putative novel viruses as BSF Nairovirus-like 1 and BSF uncharacterized bunyavirus-like 1. We identified candidate segments for the full BSF Nairovirus-like 1 genome using a technique based on transcript co-occurrence, and only a partial genome for BSF uncharacterized bunyavirus-like 1. These results emphasize the value of routine BSF colony surveillance and add to the number of viruses associated with BSF.

bioinformatics↗

bioRxiv2023

Phylogenetic and spatial determinants of leaf endophyte microbiomes in the flowering plant genus Heuchera (Saxifragaceae)

Premise: Endophytic plant-microbe interactions range from mutualistic relationships that confer important ecological and agricultural traits to neutral or quasi-parasitic relationships. In contrast to root-associated endophytes, the role of environmental and host-related factors for acquiring leaf endophyte communities remains relatively unexplored. Here we assess leaf endophyte diversity to test the hypothesis that membership of these microbial communities is driven primarily by abiotic environment and host phylogeny. Methods: We used a broad geographic coverage of North America in the genus, Heuchera (Saxifragaceae). Bacterial and fungal communities were characterized with 16S and ITS amplicon sequencing, using QIIME2 to call operational taxonomic units and calculate species richness, Shannon diversity, and phylogenetic diversity. We assembled environmental predictors for microbial diversity at collection sites including latitude, elevation, temperature, precipitation, and soil parameters. Results: We find differing assembly patterns for bacterial and fungal endophytes; we found that only host phylogeny is significantly associated with bacteria, while geographic distance alone was the best predictor of fungal community composition. Species richness and phylogenetic diversity are very similar across sites and species, with only fungi showing a response to aridity and precipitation for some metrics. Unlike what has been observed with root-associated microbial communities, in this system microbes show no relationship with pH or other soil factors. Conclusions: Host phylogeny and geographic distance independently influence different microbial communities, while aridity and precipitation determine fungal diversity within leaves of Heuchera. Our results indicate the importance of detailed clade-based investigation of microbiomes and the complexity of microbiome assembly within specific plant organs.

ecology↗