Biology subjects

Gregory, L. M.

Publications and source records attributed to Gregory, L. M..

3 recordsLinked to original sources

bioRxiv2025

Native catalase expression in Arabidopsis thaliana is more than sufficient to limit excess decarboxylation from photorespiratory intermediates

The hydrogen peroxide (H2O2) scavenging enzyme, catalase, plays a critical role in the photorespiratory pathway by maintaining the balance of H2O2, a reactive oxygen species (ROS), in the peroxisome. H2O2 acts as both a signaling molecule and a potential source of ROS depending on its accumulation in the peroxisome. Additionally, H2O2 can also drive non-enzymatic decarboxylation (NED) reactions as well as other decarboxylation reactions, leading to increased CO2 release that is linked to a severe growth phenotype. However, the exact cause of this stunted growth phenotype is not fully understood, and it remains unclear whether the capacity of catalase is critical for minimizing these decarboxylating reactions. Here we elucidate the mechanism behind the decrease in plant growth due to the accumulation of H2O2 from photorespiration using cat2 knock-out lines of Arabidopsis thaliana rescued with transgenic expression lines of Heliobacter pylori catalase. These experiments demonstrated that while one of the three heterologous lines expressing H. pylori catalase isoform (Hp615) had greater catalase activity than cat2-KO and rescued the severe growth and photosynthetic phenotype, its catalase activity was still far below wild type levels. These findings suggest that catalase plays a crucial role in maintaining H2O2 homeostasis within the peroxisome and minimizing decarboxylation reactions, both of which are linked to plant growth. Moreover, once a threshold capacity is reached, increasing catalase capacity further may offer limited benefits in enhancing net carbon fixation. HighlightWe show that peroxisomal catalase is important for maintaining high rates of net carbon fixation associated with plant growth. Native catalase levels in Arabidopsis thaliana are in excess of that which is required to minimize alternative decarboxylation reactions. Therefore, efforts to optimize catalase-mediated degradation of H2O2 may be of limited benefit.

plant biology↗

bioRxiv2021

Mapping differences in mammalian distributions and diversity using environmental DNA from rivers

AimFinding more efficient ways to monitor, and estimate the diversity of, mammalian communities is a major step towards their management and conservation. Environmental DNA (eDNA) from river water has recently been shown to be a viable method for biomonitoring mammalian communities. Yet, most of the studies to date have focused on the potential for eDNA to detect individual species, with little focus on describing patterns of community diversity and structure. In this study, we focus on the sampling effort required to reliably map the diversity and distribution of semi-aquatic and terrestrial mammals and allow inferences of community structure surrounding rivers. LocationSoutheastern England MethodsWe used eDNA metabarcoding on water samples collected along two rivers and a beaver enclosure over two days, targeting terrestrial and semi-aquatic mammals. Mammalian community diversity and composition was assessed based on species richness and {beta}-diversity. Differences between river communities were calculated and partitioned into nestedness and turnover, and the sampling effort required to rapidly detect semi-aquatic and terrestrial species was evaluated based on species accumulation curves and occupancy modelling. ResultseDNA metabarcoding efficiently detected 25 wild mammal species from five orders in two days of sampling, representing the vast majority (82%) of the species expected in the area. The required sampling effort varied between orders, with common species (generally rodents, deer and lagomorph species) more readily detected, with carnivores detected less frequently. Measures of species richness differed between rivers (both overall and within each mammalian order) and patterns of {beta}-diversity revealed the importance of species replacement in sites within each river, against a pattern of species loss between the two rivers. Main conclusionseDNA metabarcoding demonstrated its capability to rapidly detect mammal species, allowing inferences of community composition that will better inform future sampling strategies for this Class. Importantly, this study highlights the potential use of eDNA data for investigating mammalian community dynamics over different spatial scales.

ecology↗

bioRxiv2020

Composite modeling of leaf shape across shoots discriminates Vitis species better than individual leaves

Premise of studyLeaf morphology is dynamic, continuously deforming during leaf expansion and among leaves within a shoot. We measured leaf morphology from over 200 vines over four years, and modeled changes in leaf shape along the shoot to determine if a composite "shape of shapes" can better capture variation and predict species identity compared to individual leaves. MethodsUsing homologous universal landmarks found in grapevine leaves, we modeled various morphological features as a polynomial function of leaf node. The resulting functions are used to reconstruct modeled leaf shapes across shoots, generating composite leaves that comprehensively capture the spectrum of possible leaf morphologies. ResultsWe found that composite leaves are better predictors of species identity than individual leaves from the same plant. We were able to use composite leaves to predict species identity of previously unassigned vines, which were verified with genotyping. DiscussionObservations of individual leaf shape fail to capture the true diversity between species. Composite leaf shape--an assemblage of modeled leaf snapshots across the shoot--is a better representation of the dynamic and essential shapes of leaves, as well as serving as a better predictor of species identity than individual leaves.

plant biology↗