Biology subjects

Heath, D.

Publications and source records attributed to Heath, D..

3 recordsLinked to original sources

bioRxiv2024

Hierarchically Vascularized and Implantable Tissue Constructs created through Angiogenesis from Tissue-Engineered Vascular Grafts

A major roadblock in implementing engineered tissues clinically lies in their limited vascularization. After implantation, such tissues do not integrate with the hosts circulation as quickly as needed, commonly resulting in loss of viability and functionality. This study presents a solution to the vascularization problem that could enable the survival and function of large, transplantable, and vascularized engineered tissues. The technique allows vascularization of a cell laden hydrogel through angiogenesis from a suturable tissue-engineered vascular graft (TEVG) constructed from electrospun polycaprolactone with macropores. The graft is surrounded by a layer of cell-laden gelatin-methacryloyl hydrogel. The constructs are suturable and possess mechanical properties like native vessels. Angiogenesis occurs through the pores in the graft, resulting in a hydrogel tcontaining an extensive vascular network that is connected to an implantable TEVG. The size of the engineered tissue and the degree of vascularization can be increased by adding multiple TEVGs into a single construct. The engineered tissue has the potential to be immediately perfused by the patients blood upon surgical anastomosis to host vessels, enabling survival of implanted cells. These findings provide a meaningful step to address the longstanding problem of fabricating suturable pre-vascularized tissues which could survive upon implantation in vivo.

bioengineering↗

bioRxiv2022

A general framework to unify the estimation of numerical abundance and biomass from quantitative eDNA data

Does environmental DNA (eDNA) correlate more closely with numerical abundance (N) or biomass in aquatic organisms? We hypothesize that the answer is neither: eDNA production likely scales allometrically, reflecting key physiological rates and surface area-to-body mass relationships. Building on individual-level frameworks developed from the Metabolic Theory of Ecology, we derive a framework through which quantitative eDNA data can be transformed to simultaneously reflect both population-level N and biomass. We then validated our framework using data from two previously published studies: (i) a marine eDNA metabarcoding dataset; and (ii) a freshwater single-species qPCR dataset. Using a Bayesian modeling approach, we estimated the value of the allometric scaling coefficient that jointly optimized the relationship between N, biomass, and corrected eDNA data to be 0.82 and 0.77 in Case Studies (i) and (ii), respectively. These estimates closely match expected scaling coefficients estimated in previous work on Teleost fish metabolic rates. We also demonstrate that correcting quantitative eDNA can significantly improve correspondence between eDNA- and traditionally-derived quantitative community biodiversity metrics (e.g., Shannon index and Bray-Curtis dissimilarity) under some circumstances. Collectively, we show that quantitative eDNA data is unlikely to correspond exactly to either N or biomass, but can be corrected to reflect both through our unifying joint modelling framework. This framework can also be further expanded to include other variables that might impact eDNA pseudo-steady-state concentrations in natural ecosystems (e.g., temperature, pH, and phenology), and is flexible enough to model these relationships across trophic levels. Significance StatementAquatic animals release DNA (from shed cells, mucous, faeces, etc.) into water, which can be detected via environmental DNA (eDNA) sampling. What is less clear is whether we can estimate numerical abundance (N) or biomass from eDNA concentrations. We hypothesize that eDNA production scales allometrically; that is, large animals release less DNA per unit mass than smaller animals. Building from the Metabolic Theory of Ecology, we derived a framework through which eDNA data can be transformed to simultaneously reflect both N and biomass. We then validated the framework using two case studies in marine and freshwater systems. This framework unifies discrepancies between eDNA, N, and biomass data, unlocking the potential of eDNA to monitor population abundance/biomass and quantify biodiversity.

ecology↗

bioRxiv2022

Interspecific allometric scaling in eDNA production in fishes reflects physiological and surface area allometry

Relating environmental DNA (eDNA) signal strength to organism abundance requires a fundamental understanding of eDNA production. A number of studies have demonstrated that eDNA production may scale allometrically - that is, larger organisms tend to exhibit lower mass-specific eDNA production rates, likely due to allometric scaling in key processes related to eDNA production (e.g. surface area, excretion/egestion). While most previous studies have examined intra-specific allometry, physiological rates and organism surface area also scale allometrically across species. We therefore hypothesize that eDNA production will similarly exhibit inter-specific allometric scaling. To evaluate this hypothesis, we reanalyzed previously published eDNA data from Stoeckle et al. (2021) which compared metabarcoding read count to organism count and biomass data obtained from trawl surveys. Using a Bayesian model we empirically estimated the value of the allometric scaling coefficient ( b) for bony fishes to be 0.67 (credible interval = 0.58 - 0.77), although our model failed to converge for chondrichthyan species. We found that integrating allometry significantly improved correlations between organism abundance and metabarcoding read count relative to traditional metrics of abundance (density and biomass) for bony fishes. Although substantial unexplained variation remains in the relationship between read count and organism abundance, our study provides evidence that eDNA production tends to scale allometrically across species. Future studies investigating the relationship between eDNA signal strength and metrics of fish abundance could potentially be improved by accounting for allometry - a scaling coefficient value of [~]2/3 appears to be both theoretically and empirically justified.

ecology↗