Biology subjects

Pittoors, N. C.

Publications and source records attributed to Pittoors, N. C..

5 recordsLinked to original sources

bioRxiv2026

Stepping-stone population structure and sidespread clonality of the mesophotic octocoral Swiftia exserta in the warm temperate northwest Atlantic

Isolated mesophotic banks form spatially discrete networks of patchy ecosystems along continental shelves. Their long-term persistence depends on connectivity among populations of the dominant coral species that structure these communities. Yet the scale of larval-mediated gene flow across these networks remains poorly characterized. Similarly, the extent to which clonal propagation shapes local population dynamics is unresolved, leaving the relative contributions of sexual and asexual reproduction to population maintenance an open question. Here, population genomics and high-resolution (1km) biophysical larval dispersal modeling are integrated to resolve the genetic connectivity and clonal dynamics of Swiftia exserta, a key habitat-forming octocoral, across 13 mesophotic banks spanning the U.S. Gulf and eastern coast within the Warm Temperate Northwest Atlantic (WTNWA) coastal and shelf biogeographic province. Genome-wide SNP markers derived from Restriction-site Associated Sequencing (RADseq) were genotyped across 288 individuals. About 40% of individuals belonged to clonal genets confined to single banks within meters of one another, indicating that asexual propagation sustains local density but plays no detectable role in inter-bank connectivity. Population genetic analyses pointed to isolation by distance as the primary structuring force, with the majority of molecular variance residing within rather than among populations. The west-most population, East Flower Garden Banks, was the most differentiated population in the WTNWA Northern Gulf ecoregion, reflecting its peripheral position within the bank network. The Edisto population from the WTNWA Carolinian ecoregion, was distinct from all others, implicating the Florida Peninsula as a phylogeographic barrier. Biophysical particle-tracking simulations independently recovered the same spatial structure, with modeled larval exchange consistent with the genomic signal across the bank network. These findings reveal that S. exserta persists across the northern WTNWA province through a dual reproductive strategy of clonality at the bank scale and episodic larval exchange at the network scale, with implications for the conservation and management of mesophotic octocoral metacommunities.

ecology↗

bioRxiv2026

Depth-dependent eDNA abundances across ecosystems inform deep-sea sampling strategies

Environmental DNA (eDNA) surveys are increasingly used to assess marine biodiversity and inform deep-sea environmental decision-making, including mineral resource management and fisheries oversight. Yet standard low-volume protocols inherited from coastal work may be inadequate at depth, and recent findings indicate that depth- and productivity-aware sampling, often requiring high-volume in situ filtration, is needed, but no quantitative framework links depth and ecosystem context to defensible filtration volume targets. We compiled 841 eDNA samples from eight expeditions across the North Atlantic, Wider Caribbean, and Pacific (surface to 4000 m) to quantify how recoverable eDNA scales with depth and surface productivity, and to derive depth- and productivity-aware sampling targets. Total eDNA concentration declined with depth as a power law, with attenuation exponents (b) modulated by surface productivity: most gradual in eutrophic waters (b = 0.67), intermediate in mesotrophic (b = 0.90), and steepest in oligotrophic systems (b = 1.25); volume-weighted models explained 66 to 88% of the variance. At a fixed extract-concentration target, required filtration volumes diverged ~7-fold between oligotrophic and eutrophic systems at 200 m and ~38-fold at 4000 m. Conventional Niskin sampling therefore undersamples deep-sea biodiversity, particularly in mid- to low-productivity systems. Among laboratory parameters, the assay-specific extract-concentration target exerted greater leverage on required volume than extraction efficiency or elution volume. Volume-aware sampling paired with optimized recovery should be routine in deep-sea eDNA surveys.

ecology↗

bioRxiv2025

Environmental filtering shapes patch dynamics across isolated mesophotic reefs

Mesophotic coral ecosystems (MCEs; [~]30-150 m) are major but poorly understood benthic habitats. We used Autonomous Reef Monitoring Structures (ARMS) and integrated metabarcoding (mtCOI, 18S), image analysis, and hydrodynamic modeling across six mesophotic banks in the Gulf of Mexico to test whether community assembly is governed by environmental filtering or dispersal limitation. Local environmental conditions explained nearly twice as much compositional variance as geographic effects. Differences in depth and turbidity predicted community dissimilarity up to tenfold better than geographic distance. Turbidity, driven by the benthic nepheloid layer (BNL), was the dominant filter, while depth effects were weaker and taxon-specific. Hydrodynamic simulations revealed dispersal is variable but not limiting. These findings identify the BNL as a key physical driver linking shelf oceanography, biodiversity, and ecosystem function. Suspended particle dynamics associated with BNLs merit integration into conservation planning as critical mediators of ecological connectivity in mesophotic and other patchy reef systems globally. TeaserSuspended particle layers, not dispersal barriers, determines which species colonize mesophotic coral reefs on the TX-LA continental shelf.

ecology↗

bioRxiv2024

Drift in Individual Behavioral Phenotype as a Strategy for Unpredictable Worlds

Individuals, even with matched genetics and environment, show substantial phenotypic variability. This variability may be part of a bet-hedging strategy, where populations express a range of phenotypes to ensure survival in unpredictable environments. In addition to phenotypic variability between individuals ("bet-hedging"), individuals also show variability in their behavioral phenotype across time, even absent obvious external cues. There are few evolutionary theories that explain random shifts in phenotype across an animals life, which we term phenotypic drift. We use individuality in locomotor handedness in Drosophila melanogaster to characterize both bet-hedging and drift. We use a continuous circling assay to show that handedness spontaneously changes over timescales ranging from seconds to the lifespan of a fly. We compare the amount of behavioral drift and bet-hedging across a number of different fly strains and show independent strain-specific differences in bet-hedging and behavioral drift. We show manipulation of serotonin changes the rate of behavioral drift, indicating a potential circuit substrate controlling behavioral drift. We then develop a theoretical framework for assessing the adaptive value of phenotypic drift, demonstrating that drift may be adaptive for populations subject to selection pressures that fluctuate on timescales similar to the lifespan of an animal. We apply our model to real-world environmental signals and find patterns of fluctuations that favor random drift in behavioral phenotype, suggesting that drift may be adaptive under some real-world conditions. These results demonstrate that behavioral drift plays a role in driving variability in a population and may serve an adaptive role distinct from population level bet-hedging. Significance StatementWhy do individuals animals spontaneously change their preferences over time? While stable idiosyncratic behavioral preferences have been proposed to help species survive unpredictable environments as part of a bet-hedging strategy, the role of intraindividual shifts in preferences is unclear. Using Drosophila melanogaster, we show the stability of individual preferences is influenced by genetic background and neuromodulation, and is therefore a regulated phenomenon. We use theoretical modeling to show that shifts in preferences may be adaptive to environments that change within an individuals lifespan, including many real-world patterns of environmental fluctuations. Together, this work suggests that the stability of individual preferences may affect the survival of species in unpredictable worlds -- understanding that may be increasingly important in the face of anthropogenic change.

neuroscience↗

bioRxiv2023

Nuclear eDNA Metabarcoding Primers for Anthozoan Coral Biodiversity Assessment

The distributions of anthozoan corals are under-characterized due to their wide bathymetric range, occurrences in remote locales, and difficulties of identification from morphology alone. Environmental DNA (eDNA) sequencing promises to be a non-invasive strategy to complement conventional approaches for mapping and monitoring coral communities. Primers for eDNA meta-barcoding have been designed to amplify nuclear and mitochondrial DNA barcodes in shallow scleractinians and mitochondrial MutS in deep-sea octocorals. However, a comprehensive method for eDNA meta-barcoding from all anthozoan corals, including black corals, has not been developed. We leveraged a sequence database of global coral collections, from shallow water to the deep sea, to design new PCR primers for coral eDNA sequencing that target the 28S rRNA gene. We tested the performance of these primers by amplifying and sequencing eDNA from water samples collected in the Gulf of Mexico near mesophotic and deep-sea corals that were also imaged, sampled, and sequenced. Sequencing libraries produced using the primers were highly enriched in coral eDNA, with up to 99.8% of the reads originating from corals. Further, the 28S barcode amplified using the primers distinguished coral genera. We recovered amplicon sequencing variants (ASVs) identical to DNA barcodes derived from Sanger sequencing and genome skimming of corals sampled at the same field sites. This new eDNA meta-barcoding strategy permits targeted eDNA sequencing of black corals, octocorals, and scleractinians at sites where they co-occur and expands our current toolkit for mapping and monitoring coral communities in shallow coral reefs and the deep sea.

ecology↗