Changes In Abundance Research Articles

Estimating fox abundance using the simultaneous count method

AbstractFeral foxes Vulpes vulpes are a major threat to Australian wildlife and assessing the success of control programs requires comparison of abundance before and after control. While camera traps are often used to assess fox activity, estimating abundance is difficult due to the inability to distinguish individuals requiring an “unmarked” methodology. We tested the “simultaneous count method” which requires samples to be independent during the sampling period, that is, 24 h, while allowing lack of independence between sampling periods. This enables repeat detections of animals to estimate abundance. We tested the method on camera data collected over 5 years at Oolambeyan National Park, New South Wales, during a fox control program and conclude that the method has merit. We were able to statistically measure an effect of change in abundance from a median of 57 to 2, however, estimation of detectability was erratic.

Digestion, nitrogen excretion and rumen microbial communities in beef cattle, and in vitro methane output, of fresh temperate grass with or without citrus pulp supplementation

The effects of supplementing grass with a high-energy, low-protein concentrate on intake, rumen fermentation, rumen microbial communities, apparent total tract digestibility and N-balance in beef cattle, and rumen fermentation and methane output in vitro, were studied. Sixteen Charolais steers (mean live weight (s.d.) 564 (24.3) kg)), were used in a completely randomised block design experiment, and offered either zero-grazed perennial ryegrass (Lolium perenne L.) ad libitum (GO), or the same grass with 2.25 kg citrus pulp dry matter (DM) daily (GCP). During the measurement phase, DM intake was restricted at 0.85 of their pre-determined intake. The same diets were incubated in an eight-vessel RUSITEC system. Supplementation decreased grass DM intake (6.59 vs. 7.54 kg/d) but increased total DM intake by 0.95 kg/d (P < 0.01). Rumen pH (P = 0.05) and NH3 concentration (P < 0.05) decreased, and total volatile fatty acid (VFA) concentrations (P < 0.01), molar proportions of propionate (P = 0.08) and butyrate (P < 0.05) increased for GCP compared to GO. Supplementation significantly altered the overall rumen microbial community structure compared to GO, driven principally by changes in relative abundance of Prevotella, Methoanobrevibacter and Lachnospiraceae genera. Plasma urea concentration was lower (P < 0.05) for GCP than GO. There was no effect (P > 0.10) of supplementation on apparent total tract digestibility of DM, OM and ADFom, but aNDFom digestibility tended to be lower (P = 0.07) and crude protein (N × 6.25) digestibility was lower (P < 0.01) for GCP compared to GO. Nitrogen intake (200 g/d) did not differ (P > 0.05) between treatments. Faeces N loss was 9 g/d greater (P < 0.01), and urine (P < 0.01) and total (P < 0.05) N losses were 22 and 13 g/d lower, respectively, for GCP compared to GO. In terms of N-balance (g/kg N intake), faecal N excretion was greater and urinary N excretion was lower (P < 0.01) resulting in a greater N use efficiency (P = 0.06) for GCP than GO. In vitro rumen NH3 concentrations were lower (P < 0.01) for GCP compared to GO, whereas in vitro rumen pH, lactic acid, VFA concentrations and molar proportions, and methane and total gas output did not differ (P > 0.05) between treatments. Supplementing grass with a low-protein, high-energy feed may be a strategy to reduce urinary and total N excretion in beef cattle grazing temperate grass pasture.

Microbiome variations induced by delta9-tetrahydrocannabinol predict weight reduction in obese mice

IntroductionObesity and high-fat diets induce consistent alterations in gut microbiota composition. Observations from epidemiological reviews and experiments also illustrate weight regulation effects of delta9-tetrahydrocannabinol (THC) with microbiome shifts. Therefore, we investigated the weight-loss potential of THC in obese mice models and to elucidate the contribution of specific gut microbiome changes in THC-induced weight loss.MethodsHigh-fat diet induced obese mice were treated with oral THC supplementation for two weeks and compared with controls. In addition to measuring weight, fecal samples were obtained at various timepoints, sequenced for bacterial 16s rRNA content and analyzed using QIIME2. Alpha and beta diversity were computed followed by linear mixed effects (LME) modeling of bacterial relative abundance relationship to THC treatment and weight change.ResultsIn both male and female mice, the THC group had significantly greater average weight loss than controls (−17.8% vs. −0.22%, p&amp;lt;0.001 and −13.8% vs. +2.9%, p&amp;lt;0.001 respectively). Male mice had 8 bacterial taxonomic features that were both significantly different in relative abundance change over time with THC and correlated with weight change. An LME model using three bacterial features explained 76% of the variance in weight change with 24% of variation explained by fixed effects of feature relative abundance alone. The model also accurately predicted weight change in a second male mouse cohort (R=0.64, R2=0.41, p=&amp;lt;0.001). Female mice had fewer significant predictive features and were difficult to model, but the male-produced 3-feature model still accurately predicted weight change in the females (R=0.66, R2=0.44, p&amp;lt;0.001).ConclusionUsing a stepwise feature selection approach, our results indicate that sex-specific gut microbiome composition changes play some role in THC-induced weight loss. Additionally, we illustrated the concept of microbiome feature-based modeling to predict weight changes.

Hurricanes temporarily weaken human-ecosystem linkages in estuaries.

Intense disturbances such as hurricanes may drastically affect ecosystems, producing both acute and long-term changes along coastlines. By disrupting human activities (e.g., fishing), hurricanes can provide an opportunity to quantify the effects of these activities on coastal ecosystems. We performed predator-exclusion experiments on oyster reefs in 2016, one-year before a category-4 hurricane ("Harvey") and again in 2018 one-year post-hurricane where the storm made landfall. Additionally, we examined 8 years (2011-2018) of fisheries-independent data to gauge how fishing pressure and fish populations were affected by the storm in three locations that varied in storm impacts. In the month following Hurricane Harvey, fishing effort dropped by 90% in the area with wind and flooding damage, and predatory fish species commonly targeted by anglers were 300% more abundant than the year prior to the hurricane. The locations without damage to fishing infrastructure did not experience declines in fishing pressure or changes in fish abundance, regardless of flooding disturbance. Reef fish and invertebrate communities directly affected by the storm were significantly different after the hurricane and were ~ 30% more diverse. With low fishing pressure, sportfish CPUE were 1.7-6.9 × higher immediately after the hurricane. Intermediate consumers, such as crabs that prey on oysters, were 45% less abundant and 10% smaller. These results indicate that hurricanes can temporarily disrupt human-ecosystem linkages and reconstitute top-down control by sportfish in estuarine food webs. Disturbance events that interrupt or weaken those interactions may yield indirect ecological benefits and provide insights into the effects of human activities on food webs.

Mapping global distributions of clay-size minerals via soil properties and machine learning techniques

Clay-size mineral is a vital ingredient of soil that influences various environment behaviors. It is crucial to establish a global distribution map of clay-size minerals to improve the recognition of environment variations. However, there is a huge gap of lacking some mineral contents in poorly accessible remote areas. In this work, machine learning (ML) approaches were conducted to predict the mineral contents and analyze their global abundance changes through the relationship between soil properties and mineral distributions. The average content of kaolinite, illite, smectite, vermiculite, chlorite, and feldspar were predicated to be 28.69 %, 22.30 %, 12.42 %, 5.43 %, 5.03 %, and 1.44 % respectively. Model interpretation showed that topsoil bulk density and drainage class were the most significant factors for predicting all six minerals. It could be seen from the feature importance analysis that bulk density notably reflected the distribution of 2:1 layered minerals more than that of 1:1 mineral. High drainage favored secondary minerals development, while low drainage was more benefited for primary minerals. Moreover, the content variation of different minerals aligned with the distribution of corresponding soil properties, which affirmed the accuracy of established models. This study proposed a new approach to predict mineral contents through soil properties, which filled a necessary step of understanding the geochemical cycles of soil-related processes.

Relating microbial community composition to treatment performance in an ozone-biologically active carbon filtration potable reuse treatment train

Treatment trains that couple ozone (O3) with biologically active carbon (BAC) filtration are of interest as a lower cost, more sustainable, membrane-free approach to water reuse. However, little is known about the microbial communities that are the fundamental drivers of O3-BAC treatment. The objective of this study was to demonstrate microbial community profiling as a diagnostic tool for assessing the functionality, biological stability, and resilience of coupled physical, chemical, advanced oxidative and biological processes employed in water reuse treatment. We utilized 16S rRNA gene amplicon sequencing to profile the bacterial microbiota over time throughout a potable reuse train employing coagulation, flocculation, sedimentation, ozonation, BAC filtration, granular activated carbon (GAC) adsorption, and UV disinfection. A distinct baseline microbiota was associated with each stage of treatment (ANOSIM, p < 0.05, r-stat = 0.52), each undergoing succession with time and operational shifts. Ozonation resulted in the sharpest shifts (i.e., 83.3 % average change in Genus level relative abundances, when adjusted O3:TOC ratio > 1), and also variance, in microbial community composition. Adjustment in O3:TOC ratios, temperature, filter-aid polymer, monochloramine quenching agent, and empty-bed contact time also resulted in measurable changes in the baseline microbial community composition of individual processes, but to a lesser degree. Of these, supplementation of nitrogen and phosphorus resulted in the strongest bifurcation, especially in the microbial communities inhabiting the BAC (ANOSIM: p < 0.05, BAC5 r-stat = 0.32; BAC10 r-stat = 0.54) and GAC (ANOSIM: p < 0.05, GAC10 r-stat = 0.54; GAC20 r-stat = 0.63) units. Additionally, we found that the BAC microbial community was responsive to an inoculation of microbially active media, which resulted in improved TOC removal. The findings of this study improve understanding of bacterial dynamics occurring in advanced water treatment trains and can inform improved system design and operation.

Subgingival microbial profiles in pre- and postmenopausal women: Associations with serum estradiol levels.

Subgingival dental plaque is an ecosystem playing a key role in supporting both oral health and systemic health. Menopause-related changes have the potential to disrupt its balance, which is crucial to postmenopausal well-being. Our study explored how circulating estradiol levels correlate with subgingival microbial composition using checkerboard DNA-DNA hybridization in premenopausal and postmenopausal women. We also demonstrated that combining this method with 16S ribosomal RNA (rRNA) sequencing insights remains valuable for examining subgingival ecology. We assessed 40 bacterial species in 77 premenopausal and 81 postmenopausal women using checkerboard DNA-DNA hybridization and measured serum estradiol with enzyme-linked immunosorbent assay (ELISA). Women were categorized by subgingival dysbiosis severity using a modified Subgingival Microbial Dysbiosis Index (mSMDI). Six women from each normobiotic and dysbiotic subgroup across premenopausal and postmenopausal women underwent 16S rRNA sequencing analysis. DNA checkerboard analysis revealed that most observed variability in individual bacterial proportions is associated with periodontitis. Two species, Leptotrichia buccalis and Streptococcus constellatus, exhibited differences related to estradiol levels within the premenopausal group (p=0.055 and p=0.009, respectively). 16S rRNA sequencing confirmed the mSMDI's validity in categorizing normobiotic and dysbiotic states. Menopausal status was not associated with a dysbiotic shift in the subgingival microbiome despite significantly more attachment loss in postmenopausal compared to premenopausal women. Our results indicate that decreased estradiol levels or increased attachment loss during menopause are not associated with changes in species abundance or dysbiotic shifts in women. The mSMDI may be a useful tool for classifying subgingival ecology based on its normobiotic or dysbiotic inclination.

Organic fertilisation enhances network complexity among bacteria, fungi, and protists by improving organic matter and phosphorus in acidic agricultural soils

Research has explored the impact of organic fertilisation on improving agroecosystem productivity and resilience, highlighting the significant contributions of protists in addition to bacteria and fungi. However, the interactions among bacteria, fungi and protists in organically fertilised soils remain largely unknown. In this study, soil samples were collected from four long-term fertilisation treatments: no fertilisation (Control), inorganic fertilisation (NPK), organic fertilisation (OM), and combined inorganic and organic fertilisation (NPKOM). The abundance and composition of bacteria, fungi, and protist communities, as well as co-occurrence networks, were analysed under different fertilisation treatments. Our results showed that the total abundance of bacteria, fungi, and protists increased by a minimum of 2.95, 3.47, and 0.66 times, respectively, after organic fertiliser application. Moreover, the application of organic fertilisers significantly altered the structures of soil microbial communities by enriching bacterial Proteobacteria and Actinobacteria, fungal Ascomycota, and protist Conosa. Changes in the total abundance of bacteria, fungi, and protists, and their community structures in soils with organic fertilisers were associated with increases in soil organic carbon and phosphorous. Additionally, microbial networks exhibited greater complexity in organically fertilised soils than in non-organically fertilised soils by possessing higher linkage density. The increased complexity may be attributed to potential interkingdom associations among bacteria, fungi, and protists in high soil organic carbon and phosphorus. These results highlight that the application of organic fertilisers has the potential to enhance the complexity of microbial coexistence in acidic agricultural soils.

The Impact of Wildflower Habitat on Insect Functional Group Abundance in Turfgrass Systems.

Urbanization is rapidly influencing the abundance and diversity of arthropods. Within urban systems, managed turfgrass is a prominent land cover which can support only a limited number of arthropod groups. To allow for more arthropod biodiversity and to support beneficial insects within turfgrass, increasing numbers of land managers are choosing to partially convert turf habitat to wildflower habitat using commercially available seed mixes. However, the population dynamics of arthropod groups in these systems are poorly known, with consequentially little information on best long-term practices for managing wildflower habitats in turfgrass systems. To address this gap, we sampled insects using pan traps in turfgrass systems pre- and post-implementation of wildflower habitats and examined the change in abundance of several insect families and functional guilds. Insect groups had variable responses to wildflower habitat implementation, with some groups such as sweat bees and skipper butterflies showing a decline two years post-implementation. Other groups, such as predatory flies, were relatively more abundant one and two years post-implementation. These variable responses point to the need for more research on the long-term effects of wildflower habitats on beneficial insects in turfgrass habitats.

Regional diversity and spatial patterns of epibenthic communities in the Laurentian Channel Marine Protected Area

Megafauna, such as cold-water corals, can promote diversity through various processes, such as predation, bioturbation, competition, and facilitation as habitat engineers. Further investigation into their ecology and role in epifaunal community structure in the deep sea is needed. Diversity, abundance, and spatial patterns of epibenthic megafauna (≥2 cm) were quantified at regional-scales (100 s m – 100 s km) using high-resolution imagery from 15 stations in the Laurentian Channel Marine Protected Area, Canada. A patchy community structure was significantly associated with station and benthoscape class, which in turn was based on geological factors. Three types of assemblages included: (1) dominated by corals Pennatula sp. 2 and/or Hexacorallia (SC.) spp. in shallow eastern benthoscape classes with high abundance and low diversity; (2) a diverse mix of taxa (e.g. sea pens Anthoptilum spp. and Kophobelemnon spp., anemones/cerianthids, etc.) in deeper (>400 m) western benthoscape classes, with low abundance and high diversity; and (3) a unique community dominated by sponges. Overall, eight taxa contributed to most dissimilarities between stations, and communities were similar within 10 km but could differ at greater distances. Benthoscape classes captured environmental factors (e.g. depth and substrate) that may be responsible for changes in diversity and abundance, and are used as a proxy for different habitats. Our study advanced the understanding of regional spatial patterns in the abundance, composition, and diversity of epibenthic communities, by identifying spatial patterns particularly in the Laurentian Channel where data were limited, adding to interpretations of spatial ecology in a previous fine-scale study. Additionally, these spatial patterns reflect various underlying ecological processes that are mostly unknown. Our community analysis and observed changes in abundance and diversity have implications that can help inform future monitoring designs to promote representative and meaningful spatial assessments.

Protein Thermal Stability Changes Induced by the Global Methylation Inhibitor 3-Deazaneplanocin A (DZNep).

DZNep (3-deazaneplanocin A) is commonly used to reduce lysine methylation. DZNep inhibits S-adenosyl-l-homocysteine hydrolase (AHCY), preventing the conversion of S-adenosyl-l-homocysteine (SAH) into L-homocysteine. As a result, the SAM-to-SAH ratio decreases, an indicator of the methylation potential within a cell. Many studies have characterized the impact of DZNep on histone lysine methylation or in specific cell or disease contexts, but there has yet to be a study looking at the potential downstream impact of DZNep treatment on proteins other than histones. Recently, protein thermal stability has provided a new dimension for studying the mechanism of action of small-molecule inhibitors. In addition to ligand binding, post-translational modifications and protein-protein interactions impact thermal stability. Here, we sought to characterize the protein thermal stability changes induced by DZNep treatment in HEK293T cells using the Protein Integral Solubility Alteration (PISA) assay. DZNep treatment altered the thermal stability of 135 proteins, with over half previously reported to be methylated at lysine residues. In addition to thermal stability, we identify changes in transcript and protein abundance after DZNep treatment to distinguish between direct and indirect impacts on thermal stability. Nearly one-third of the proteins with altered thermal stability had no changes at the transcript or protein level. Of these thermally altered proteins, CDK6 had a stabilized methylated peptide, while its unmethylated counterpart was unaltered. Multiple methyltransferases were among the proteins with thermal stability alteration, including DNMT1, potentially due to changes in the SAM/SAH levels. This study systematically evaluates DZNep's impact on the transcriptome, the proteome, and the thermal stability of proteins.

High temperature aggravated hypoxia-induced intestine toxicity on juvenile Chinese mitten crab (Eriocheir sinensis)

High temperature and hypoxia in water due to global warming threaten the growth and development of aquatic animals. In natural or cultured environments, stress usually does not occur independently, whereas the synergistic effect of high temperature and hypoxia on Chinese mitten crab (Eriocheir sinensis) are rarely reported. In this study, 450 juvenile crabs were equally divided into control group (24 °C ± 0.5 °C, DO 6.8 ± 0.1 mg/L), hypoxia stress group (24 °C ± 0.5 °C, DO 1 ± 0.1 mg/L) and combined stress group (30 °C ± 0.5 °C, DO 1 ± 0.1 mg/L), and the intestinal health status, microbial diversity and metabolite profiles were evaluated for 24 h treatment. The results showed that hypoxia stress induced the expression level of pro-inflammatory related genes were significantly up-regulated in intestine of juvenile E. sinensis, and intestinal peritrophic membrane factor related genes were significantly down-regulated. High temperature further amplified the effects of hypoxia on pro-inflammatory and peritrophic membrane factor-related genes. Interesting, hypoxia stress induced a significant up-regulated of intestinal antioxidant-related genes, whereas high temperature reversed this trend. In addition, single stress or/and combined stress led to changes in intestinal microbiota diversity and abundance, and intestinal metabolite profiles. Compared with hypoxia stress, the synergistic effect of high temperature and hypoxia led to an increase in the abundance of pathogenic bacteria and a decrease in the abundance of probiotic bacteria. Moreover, intestinal metabolic pathways were significantly changed, especially amino acid metabolism and glycerophospholipid metabolism. Therefore, the results indicated that hypoxia stress could induce intestinal inflammatory response and oxidative stress, and lead to abnormal changes in intestinal microbiota and metabolic profiles, whereas high temperature further aggravate the toxic effects of hypoxia on the intestine. This study preliminarily revealed the synergistic toxic effects of high temperature and hypoxia on the intestine of juvenile E. sinensis.

Evaluating Solid Phase Adsorption Toxin Tracking (SPATT) for passive monitoring of per- and polyfluoroalkyl substances (PFAS) with Ion Mobility Spectrometry-Mass Spectrometry (IMS-MS)

Detection and monitoring of per- and polyfluoroalkyl substances (PFAS) in aquatic environments has become an increasingly higher priority of regulatory agencies as public concern for human intake of these chemicals continues to grow. While many methods utilize active sampling strategies (“grab samples”) for precise PFAS quantitation, here we evaluate the efficacy of low-cost passive sampling devices (Solid Phase Adsorption Toxin Tracking, or SPATTs) for spatial and temporal PFAS assessment of aquatic systems. For this study, passive samplers were initially deployed in North Carolina along the Cape Fear River during the summer and fall of 2016 and 2017. These were originally intended for the detection of microcystins and monitoring potentially harmful algal blooms, though this period also coincided with occurrences of PFAS discharge from a local fluorochemical manufacturer into the river. Additional samplers were then deployed in 2022 to evaluate changes in PFAS fingerprint and abundances. Assessment of PFAS showed legacy compounds were observed across almost all sampling sites over all 3 years (PFHxS, PFOS, PFHxA, etc.), while emerging replacement PFAS (e.g., Nafion byproducts) were predominantly localized downstream from the manufacturer. Furthermore, samplers deployed downstream from the manufacturer in 2022 noted sharp decreases in observed signal for replacement PFAS in comparison to samplers deployed in 2016 and 2017, indicating mitigation and remediation efforts in the area were able to reduce localized fluorochemical contamination.

P-054 Paternal age and cryopreservation impact sperm chromatin status as indicated by changes in protamine and histone levels

Abstract Study question Do paternal age and cryopreservation alter sperm chromatin status in normospermic men? Summary answer Paternal age and cryopreservation appear to impact sperm chromatin condensation by altering protamine and histone DNA levels. What is known already Semen parameters do not accurately reflect male fertility and thus are not adequate to assess the impact of patient profile and semen manipulation/conservation on sperm functional quality. DNA protamination leads to sperm chromatin condensation, which is associated with sperm maturity but also appears to function as a defence mechanism against oxidative attack. In the face of contrasting/insufficient previous data, the impact of advanced paternal age (APA) and cryopreservation on sperm chromatin condensation and histone/protamine balance remains unclear. Study design, size, duration Twenty-two normospermic men, 11 of which with advanced paternal age (APA; ≥42) and 11 pre-APA (≤35), provided semen samples by masturbation (1-5 days abstinence). Fresh and cryopreserved/thawed samples from all patients were assessed for chromatin histone staining, while samples from a subgroup of 10 patients (5 pre-APA and 5 APA) were assessed for protamine presence. The effects of age and cryopreservation on the percentage of stained cells were assessed with the Fisher’s exact test. Participants/materials, setting, methods Semen samples were provided by male partners of couples treated at our fertility centre. Sample aliquots were cryopreserved and analyzed after thawing (CryoSperm &amp; Sperm Preparation Medium, Origio). Histone presence was assessed through aniline blue staining and protamine presence was indirectly assessed through staining with the protamine competitor Chromomycin A3 (CMA3); stained cells were visualized by bright field and fluorescence microscopy, respectively. Two hundred sperm cells were evaluated in each sample by the same embryologist. Main results and the role of chance Mean paternal age was 31.5±3.9 and 44.4±2.1 years for pre-APA and APA patient-groups, respectively. Major parameters observed in fresh semen samples were: 2.3±0.7 vs. 3.6±1.6mL (volume); 39±28 vs. 38±12 x10ˆ6/mL (concentration); 7±12 vs. 6±5% (rapid progressive motility); 41±12 vs. 38±13% (slow progressive motility); 12±5 vs. 11±4% (non-progressive motility); 40±17 vs. 45±16% (immotile) and 5±1 vs. 6±2% (normal morphology), for pre-APA and APA, respectively. The percentage of aniline blue (histone marker) positive cells was less than half in fresh samples from APA as compared to pre-APA patients (10.2% and 23.4%, respectively, p &amp;lt; 0.0001). Consistently, the percentage of CMA3 (protamine absence marker) positive cells was less than half in APA as compared to pre-APA patients (6.4% and 16.4%, respectively, p &amp;lt; 0.0001). In both age groups, the percentages of aniline blue and CMA3 positive cells were higher in cryopreserved/thawed samples as compared to their fresh counterparts (aniline blue positive: 35.2% vs. 23.4% and 22.0% vs. 10.2%; CMA3 positive: 27.2% vs. 16.4% and 18.8% vs. 6.4%, in cryopreserved vs. fresh in pre-APA and APA, respectively, p &amp;lt; 0.0001). Limitations, reasons for caution Our study is limited by the potential interference of confounding factors not equally distributed in age groups. The conclusions from this study must be confirmed in other patient populations with different race/genetics and habits. Wider implications of the findings Our findings suggest that APA increases, while cryopreservation decreases, sperm chromatin condensation, as indicated by changes in DNA histone and protamine abundance. Our study thus sheds light on the impact of paternal age and cryopreservation on sperm quality, providing new valuable parameters for reproductive medicine practice and research. Trial registration number na

Actazin® green kiwifruit powder consumption at 600 mg per day for 28 days improves stool form and relieves occasional constipation in healthy individuals: A randomized controlled trial

Constipation is a global issue which impacts quality of life. Kiwifruit promote laxation without the urgency induced by therapeutic laxatives. Actazin® is a skinless, seedless, cold-processed green kiwifruit powder previously shown to improve laxation at 2400 mg daily dosages. Here we investigated the laxation support provided by a 600 mg daily dosage of Actazin.A randomized, double-blinded, placebo-controlled parallel study for 28 days across four North American sites (NCT03462199) enrolled 85 participants with non-pathological constipation who had ≤3 complete spontaneous bowel movements (CSBM) per week. Participants consuming Actazin reported improved Bristol stool form scores (BSFS) over placebo (p < 0.05), improving the normality of stool form. Both Actazin and placebo showed improvements of >1 CSBM per week over baseline (p < 0.05). Actazin was safe and well tolerated by participants and resulted in changes (p < 0.05) in the relative abundance of fecal bacterial taxa consistent with consumption of kiwifruit cell wall components.This study demonstrated that once daily supplementation of 600 mg Actazin green kiwifruit powder resulted in clinically significant improvements in stool form and improved participant bowel habits in healthy individuals with occasional constipation. To the best of our knowledge this is the first recorded observation of this BSFS improvement over placebo by a kiwifruit product.

Proteome-wide association studies have predicted that the protein abundance of LSM6, GMPPB, ICA1L, and CISD2 is associated with attention-deficit/hyperactivity disorder.

Identification of changes in protein abundance for attention-deficit/hyperactivity disorder (ADHD) is important for potential disease mechanisms and therapeutic study for ADHD. In order to identify candidate proteins that confer risk for ADHD, a proteome-wide association study (PWAS) for ADHD was conducted by integrating two human brain proteome datasets and the ADHD genome-wide association study (GWAS) summary statistics released by the Psychiatric Genomics Consortium (PGC). A total of 11 risk proteins were identified as significant candidates that passed the bonferroni corrected proteome-wide significant (PWS) level. The predicted protein abundance level of LSM6, GMPPB, ICA1L and CISD2 are shown significantly associated with ADHD in both proteome datasets, highlighting their potential role in ADHD pathogenesis. A transcriptome-wide association study (TWAS) of ADHD was also conducted, and 13 genes with predicted expression changes related to ADHD were identified. GMPPB, ICA1L and NAT6 were supported by both TWAS and PWASs analysis. This study uncovers the predicted protein abundance changes that confer risk for ADHD and pinpoints a number of high-confidence protein candidates (e.g. LSM6, GMPPB, ICA1L, CISD2) for further functional exploration studies and drug development targeting these proteins.

Selection for early reproduction leads to accelerated aging and extensive metabolic remodeling in Drosophila melanogaster populations.

Experimental evolution studies that feature selection on life-history characters are a proven approach for studying the evolution of aging and variation in rates of senescence. Recently, the incorporation of genomic and transcriptomic approaches into this framework has led to the identification of hundreds of genes associated with different aging patterns. However, our understanding of the specific molecular mechanisms underlying these aging patterns remains limited. Here, we incorporated extensive metabolomic profiling into this framework to generate mechanistic insights into aging patterns in Drosophila melanogaster . Specifically, we characterized metabolomic change over time associated with accelerated aging in populations of D. melanogaster under selection for early reproduction compared to their controls. Using this data we: i) evaluated the evolutionary repeatability across the metabolome; ii) evaluated the value of the metabolome as a predictor of "biological age" in this system; and iii) identified specific metabolic pathways associated with accelerated aging. Generally, our findings suggest that the metabolome is a reliable predictor of age and senescence in populations that share a recent evolutionary history. Metabolomic analysis revealed that generations of selection for early reproduction resulted in highly repeatable alterations to the metabolome. Specifically, changes in carbohydrate, amino acid, and TCA cycle-related metabolite abundances over time point to metabolic remodeling that favors rapid early reproduction with long-term consequences for carbohydrate and protein utilization.

Among-species variation in six decades of changing migration timings explained through ecology, life-history and local migratory abundance.

Species exploiting seasonal environments must alter timings of key life-history events in response to large-scale climatic changes in order to maintain trophic synchrony with required resources. Yet, substantial among-species variation in long-term phenological changes has been observed. Advancing from simply describing such variation towards predicting future phenological responses requires studies that rigorously quantify and explain variation in the direction and magnitude of changing timings across diverse species in relation to key ecological and life-history variables. Accordingly, we fitted multi-quantile regressions to 59 years of multi-species data on spring and autumn bird migration timings through northern Scotland. We demonstrate substantial variation in changes in timings among 72 species, and tested whether such variation can be explained by species ecology, life-history and changes in local abundance. Consistent with predictions, species that advanced their migration timing in one or both seasons had more seasonally restricted diet types, fewer suitable breeding habitat types, shorter generation lengths and capability to produce multiple offspring broods per year. In contrast, species with less seasonally restricted diet types and that produce single annual offspring broods, showed no change. Meanwhile, contrary to prediction, long-distance and short-distance migrants advanced migration timings similarly. Changes in migration timing also varied with changes in local migratory abundance, such that species with increasing seasonal abundance apparently altered their migration timing, whilst species with decreasing abundance did not. Such patterns broadly concur with expectation given adaptive changes in migration timing. However, we demonstrate that similar patterns can be generated by numerical sampling given changing local abundances. Any apparent phenology-abundance relationships should, therefore, be carefully validated and interpreted. Overall, our results show that migrant bird species with differing ecologies and life-histories showed systematically differing phenological changes over six decades contextualised by large-scale environmental changes, potentially facilitating future predictions and altering temporal dynamics of seasonal species co-occurrences.

Integrating machine learning and single-cell analysis to uncover lung adenocarcinoma progression and prognostic biomarkers.

The progression of lung adenocarcinoma (LUAD) from atypical adenomatous hyperplasia (AAH) to invasive adenocarcinoma (IAC) involves a complex evolution of tumour cell clusters, the mechanisms of which remain largely unknown. By integrating single-cell datasets and using inferCNV, we identified and analysed tumour cell clusters to explore their heterogeneity and changes in abundance throughout LUAD progression. We applied gene set variation analysis (GSVA), pseudotime analysis, scMetabolism, and Cytotrace scores to study biological functions, metabolic profiles and stemness traits. A predictive model for prognosis, based on key cluster marker genes, was developed using CoxBoost and plsRcox (CPM), and validated across multiple cohorts for its prognostic prediction capabilities, tumour microenvironment characterization, mutation landscape and immunotherapy response. We identified nine distinct tumour cell clusters, with Cluster 6 indicating an early developmental stage, high stemness and proliferative potential. The abundance of Clusters 0 and 6 increased from AAH to IAC, correlating with prognosis. The CPM model effectively distinguished prognosis in immunotherapy cohorts and predicted genomic alterations, chemotherapy drug sensitivity, and immunotherapy responsiveness. Key gene S100A16 in the CPM model was validated as an oncogene, enhancing LUAD cell proliferation, invasion and migration. The CPM model emerges as a novel biomarker for predicting prognosis and immunotherapy response in LUAD patients, with S100A16 identified as a potential therapeutic target.

Comparative life-history responses of lacewings to changes in temperature.

Insects play a crucial role in all ecosystems, and are increasingly exposed to higher in temperature extremes under climate change, which can have substantial effects on their abundances. However, the effects of temperature on changes in abundances or population fitness are filtered through differential responses of life-history components, such as survival, reproduction, and development, to their environment. Such differential responses, or trade-offs, have been widely studied in birds and mammals, but comparative studies on insects are largely lacking, limiting our understanding of key mechanisms that may buffer or exacerbate climate-change effects across insect species. Here, we performed a systematic literature review of the ecological studies of lacewings (Neuroptera), predatory insects that play a crucial role in ecosystem pest regulation, to investigate the impact of temperature on life cycle dynamics across species. We found quantitative information, linking stage-specific survival, development, and reproduction to temperature variation, for 62 species from 39 locations. We then performed a metanalysis calculating sensitives to temperature across life-history processes for all publications. We found that developmental times consistently decreased with temperature for all species. Survival and reproduction however showed a weaker response to temperature, and temperature sensitivities varied substantially among species. After controlling for the effect of temperature on life-history processes, the latter covaried consistently across two main axes of variation related to instar and pupae development, suggesting the presence of life-history trade-offs. Our work provides new information that can help generalize life-history responses of insects to temperature, which can then expand comparative demographic and climate-change research. We also discuss important remaining knowledge gaps, such as a better assessment of adult survival and diapause.