The effects of different landscape strategies on outdoor thermal comfort in village squares: a case study in Dayuwan village in Wuhan City.

Appropriate landscape configurations significantly mitigate rural thermal degradation. However, limited research exists on seasonal thermal comfort and the interconnections among landscape elements. Using ENVI-met software and field measurements, this study analyzed the microclimate of Dayuwan Village Square in Wuhan City. Fifteen design scenarios, including tree planting, building greening, albedo adjustment, and expanded tree coverage, were quantitatively evaluated to assess their impact on outdoor thermal comfort. Additionally, synergistic interactions between mitigation strategies were explored. The study found that increasing evergreen tree coverage by 50% has minimal impact on comfort during winter and spring. However, it significantly reduces temperatures in summer and autumn, resulting in average predicted mean vote (PMV) decreases of 0.315 and 0.643, respectively. Additionally, this strategy optimizes PMV values at 18:00 on extreme days, with a 0.102 decrease in summer and a 0.002 increase in winter. This research offers practical and sustainable guidance to designers for enhancing mitigation effects through optimal landscape configuration, providing a technical framework for rural environmental improvements.

Microplastics and plastisphere at surface waters in the Southwestern Caribbean sea.

Pollution generated by plastic waste has brought an environmental problem characterized by the omnipresence of smaller pieces of this material known as microplastics (MP). This issue was addresses by collecting samples with 250 µm pore size nets in two marine-coastal sectors of Southwestern Caribbean Sea during two contrasting seasons. Higher concentrations were found in rainy season than in dry season, reaching respectively 1.72 MP/m3 and 0.22 MP/m3. Within each sector, there were differences caused firstly by localities of higher concentrations of semi-closed water bodies localities during rainy season (Ciénaga Grande de Santa Marta and La Caimanera marsh), and secondly by lower concentrations of localities with less influenced of flow rates during dry season (Salamanca and Isla Fuerte). Moreover, the lowest concentration in dry season corresponding to La Caimanera marsh reflects how the community environmental management might decrease MP pollution. In both sectors and seasons, the particles of 0.3 mm (0.3-1.4 mm) size class dominated over those of 1.4 mm (1.4-5.0 mm) (reaching each respectively 1.33 MP/m3 and 0.39 MP/m3), with a dominance of fibers, except in the rainy season in Magdalena, where they were films. Using the FTIR technique, polypropylene was identified as the most abundant polymer in both sectors. The composition of the assemblage of microorganisms attached to microplastics presented higher richness and differed from that of free-living planktonic microbes. The most abundant members of the plastisphere were proteobacteria whose major representation was the pathogenic genus Vibrio, while the cyanobacteria dominated in seawater samples.

Molecular detection of ruminal micro-flora and micro-fauna in Saudi Arabian camels: Effects of season and region.

This study investigated and explored the availability of micro-flora and micro-fauna in the ruminal contents of Arabian camel (Camelus dromedarius) from three different regions in Saudi Arabia along with two seasons. Samples were prepared and tested by conventional polymerase chain reaction (PCR). This study confirmed that the bacterial flora were dominating over other microbes. Different results of the availability of each microbe in each region and season were statistically analyzed and discussed. There was no significant effect of season on the micro-flora or micro-fauna however, the location revealed a positive effect with Ruminococcus flavefaciens (p < 0 0.03) in the eastern region. This study was the first to investigate the abundance of micro-flora and micro-fauna in the ruminal contents of camels of Saudi Arabia. This study underscores the significance of camel ruminal micro-flora and micro-fauna abundance, highlighting their correlation with both seasonality and geographic location. This exploration enhances our comprehension of camel rumination and digestion processes. The initial identification of these microbial communities serves as a foundational step, laying the groundwork for future in-depth investigations into camel digestibility and nutritional requirements.

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Soil N mineralization is a key process of nutrient cycling in ecosystems. The mechanism of the seasonal distribution of precipitation on soil N mineralization remains unclear. We conducted a precipitation manipulation experiment in a subtropical forest in the middle and lower reaches of the Yangtze River in China from 2020 to 2022, with three treatments, including control (CK), decreased precipitation in the dry season with extremely increased precipitation in the wet season (T1), and decreased precipitation in the dry season with proportionally increased precipitation in the wet season (T2). With in situ resin core method, we explored the effect of seasonal distribution of precipitation on soil N mineralization. The results showed that T1 and T2 significantly decreased dry season net nitrification rate by 57.9% and 72.5% and the net N mineralization rate by 82.5% and 89.6%, respectively, and significantly increased wet season net nitrification rate by 64.3% and 79.5% and net N mineralization rate by 64.2% and 81.1%, respectively. Proportionally increased precipitation in the wet season was more conducive to soil N mine-ralization process than extremely increased precipitation in the wet season. Results of the structural equation model showed that change in seasonal distribution of precipitation could significantly affect soil N mineralization processes in the subtropical forest by changing soil water content, ammonium nitrogen, microbial biomass nitrogen, and soil C:N. Our results had important reference for understanding soil nitrogen cycling and other ecological processes, and were conducive to more accurate assessment on the impacts of future changes in seasonal precipitation pattern on subtropical forest ecosystems.

Desert dust episodes during pregnancy are associated with increased preterm delivery in French Guiana.

Preterm deliveries are a major multifactorial public health problem in French Guiana. Desert dust episodes have been associated with preterm delivery in Guadeloupe, a territory with similarities to French Guiana. We thus tried to replicate this finding in the context of French Guiana. A retrospective ecological cohort study combined daily PM10 concentration measurements during pregnancy and term at delivery extracted from French Guiana's computerized pregnancy delivery registry. Daily PM10 concentrations during the course of pregnancy were analyzed as mean concentrations and as the proportion of intense dust episodes (≥55 µg PM10/m3). These exposure variables were studied in relation to the outcome of preterm delivery. Overall, 3,321 pregnant women with complete daily PM10 measurements were included, of whom 374 (11.26%) delivered prematurely. Among preterm deliveries, 168 (44.9%) were spontaneous deliveries and 206 (55.1%) were induced. Rank-sum tests showed that, for spontaneous and induced spontaneous deliveries, both mean PM10 concentrations and proportions of intense desert dust episodes were significantly greater among preterm births than among term births. Although the proportion of intense desert dust episodes during pregnancy was significantly associated with spontaneous preterm deliveries, the relation was U-shaped, with an adjusted odds ratio (AOR) = 2 (95%CI = 1.2-3.1) for lowest values relative to median values and AOR = 5.4 (95%CI = 3.2-8.9) for the highest values relative to median values. Similarly, the proportion of intense desert dust episodes during pregnancy was also significantly associated with induced preterm deliveries in a U-shaped manner (AOR = 2.7 (95%CI = 1.6-4.5) for the lowest relative to median values and AOR = 6.8 (95%CI = 3.9-11.9) for the highest relative to median values). Although in our study the relation between PM10 concentrations appeared non-linear, the highest mean concentrations and intense desert dust episodes were indeed associated with both spontaneous and induced preterm delivery.

Recaídas del trastorno de espectro de la neuromielitis óptica e influencia estacional en una cohorte de un país ecuatorial / Neuromyelitis optica spectrum disorders relapses and seasonal influence in an equatorial country cohort

Introducción La evidencia sobre la distribución estacional de las recaídas del trastorno del espectro de la neuromielitis óptica (NMOSD), especialmente en países tropicales, es limitada y diversa. Objetivo Evaluar la influencia de las variaciones estacionales en las recaídas del NMOSD en un país localizado sobre la línea ecuatorial. Pacientes y métodos Se llevó a cabo un estudio ecológico, con información retrospectiva de una cohorte de pacientes con NMOSD atendida entre enero de 2003 y diciembre de 2020 en Medellín, Colombia. Se recolectaron datos demográficos y clínicos de los pacientes, así como información sobre variables estacionales y climáticas. Se calculó la frecuencia de recaídas por estación, mes y año, y se realizó una regresión binomial negativa para evaluar la asociación entre el número de recaídas, y las variables estacionales y climáticas. Resultados Se incluyó a 113 pacientes, de los cuales el 89,38% eran mujeres, con una edad media en el momento del diagnóstico de NMOSD de 44,97 (±13,98) años y una mediana de tres recaídas (rango intercuartílico: 1-2). Se registraron 237 recaídas, la mayoría en pacientes seropositivos para anticuerpos antiacuaporina 4 (87,76%) y con mielitis longitudinal extensa como la presentación clínica más común (53,59%). Las recaídas se presentaron con mayor frecuencia durante la segunda temporada lluviosa (28,69%; n = 68), y en los meses de noviembre y diciembre. Sin embargo, en la regresión binomial negativa no se observó una asociación significativa entre el número de recaídas y las variables climáticas y estacionales, los meses y los años. Conclusión Las variables climáticas y los patrones estacionales no muestran una asociación significativa con cambios en el número de recaídas del NMOSD en pacientes residentes en un país localizado sobre la línea ecuatorial. (AU)

INTRODUCTION Information about seasonal distribution of Neuromyelitis optica spectrum disorders (NMOSD) attacks, particularly in tropical countries, has rarely been described and the reported data are diverse. OBJECTIVE. To evaluate influence of seasonal variation in NMOSD relapses in an equatorial country. PATIENTS AND METHODS Exploratory observational, retrospective ecological study in a cohort of patients with NMOSD followed from January 2008 to December 2019. Data of demographic, clinical information, characteristics of relapses and seasonal temporal variation were recorded. Also, the annual, monthly and intra-annual seasonal variation of relapses was quantified. A negative binomial regression was used to estimate the associations between the number of relapses and climatic and temporal variables. RESULTS One hundred thirteen patients were included, most of them were female (89.38%), with a mean age at NMOSD diagnosis was 44.97 (±13.98) and the median of relapses per patient were 2 relapses (IQR 1-3). The patients presented 237 relapses, most of these in AQP4 seropositive patients (87.76%) and longitudinal extensive myelitis was the most frequent type of relapse (53.59%). According to the temporal variation, relapses were more common in the second rainy season (28.69%) during November and December. However, there weren’t significant differences in the number of relapses between seasons and climatic variables in the multivariable model. CONCLUSION. The number of NMOSD relapses in this equatorial country cohort did not exhibit any significant associations with climatic variations, including changes in rainy or dry seasons. (AU)

Diurnal activity time budget of Grevy's zebra (Equus grevyi, Oustalet 1882) in a protected savannah area.

Understanding natural history such as diurnal activity of wildlife species is important for their conservation intervention. The aim of the current study was to examine Grevy's zebra diurnal activity time budget in Hallaydeghe Asebot Proposed National Park (HAPNP) considering both wet and dry seasons. Scan sampling method was used. Activities of the species were recorded based on age and sex. Species were observed for 15 min (10 min activities recording followed 5 min rest). Analysis of Variance (ANOVA) was used to analysis data. Grazing (31.26%) was the highest followed by resting (30.24%) during the wet season and grazing (37.13%) was the highest followed by moving (27.25%) during dry season. The peak grazing time of species was morning 6:00-9:00 a.m. and late afternoon 16:00-18:00 p.m. while resting was observed during midday. The time the species spent over grazing (df = 1, F = 27.15, p = 0.000132), Grooming (df = 1, F = 24.082, p = 0.000231), mating (df = 1, F = 24.850, p = 0.0002) and moving (df = 1, F = 5.550, p = 0.0336) activity during both seasons were significantly different. There is statistical difference for grazing (df = 2, F = 9.336, p = 0.002653), mating (df = 2, F = 6.216, p = 0.0117), moving (df = 2, F = 5.604, p = 0.0163) and other (df = 2, F = 5.006, p = 0.0229) activities based on sex of species. The current study examined only diurnal activity time budget of the species. As a result, future research shall be conducted by taking into account the impact of different factors (temperature and livestock) that can influence the activity time budget of Grevy's zebra in HAPNP. Lastly, we recommend thorough species management plan in HAPNP for sustainable conservation of Grevy's zebra.

Impact of harvesting seasons on physicochemical properties and volatile compound profiles of Malaysian stingless bee honey analysed using chemometrics and support vector machine.

Stingless bee honey's nutritional value is gaining attention, but the impact of harvesting seasons, specifically the rainy (September 2018) and dry (February 2019) seasons in Malaysia on the honey's physicochemical properties and volatile compounds remains insufficiently explored. This research revealed marginal differences in the physicochemical properties between seasons. However, through individual bee species and cumulative data analysis, honey samples were effectively differentiated based on harvesting seasons. A set of seventeen volatile compounds were identified as potential chemical markers for distinguishing H. bakeri, G. thoracica, and T. binghami honey between rainy and dry seasons. For cumulative data, four significant markers were proposed. These discrimination methods and chemical markers can serve as valuable references in distinguishing stingless bee honey, whether its entomological origin is specified or not between rainy and dry seasons.

How physicochemical and nutritional traits of potatoes may vary under field conditions over long periods.

BACKGROUND: Potato is the most important non-grain crop worldwide, whose quality characteristics are always affected by temporal and spatial variability. Knowledge of the performance consistency of quality characteristics over long periods could prove very important to identify which quality traits are less variable over time, and therefore provide greater guarantees of stability. In this research, variations in physicochemical and nutritional traits of tubers over five consecutive growing seasons of two potato genotypes (Arizona and Vogue) were monitored in two locations. RESULTS: Although qualitative performances of genotypes fluctuated across the seasons in both locations, two physicochemical traits (pH and dry matter content) and starch content showed less variability throughout the five seasons compared to total soluble solids and most of the nutritional traits (namely reducing sugars, citric acid, vitamin C, total phenolics and antioxidant capacity), which were considerably influenced by weather conditions. CONCLUSION: The results suggest that pH, dry matter content and starch content traits could be used advantageously in studies of temporal stability in potatoes. This approach could prove useful in providing scientific support for the setup of potato protected geographical identifications. © 2024 Society of Chemical Industry.

Prediction Model for Annual Variation in Total Pollen by Allergenic Trees in Korean Cities.

PURPOSE: Pollen forecasting systems can provide information for coping with respiratory allergies. They estimate daily pollen production, dispersal, deposition, and removal based on daily weather conditions to predict daily pollen concentrations and provide allergy warnings. As of 2023, the Korea Meteorological Administration (KMA) provides 2-day forecast of allergenic pollens. However, unlike these models, long-term analysis of annual observations of tree pollen reveal annual variations. Therefore, in this study, we aimed to develop annual prediction models for allergenic tree pollens based on long-term multi-site pollen and meteorological data. METHODS: Daily pollen concentrations were observed using Hirst-type volumetric spore traps at nine sites in Korea from 1998 to 2021, and daily weather data from the closest KMA stations were utilized. Models were developed to predict the seasonal pollen integral of seven tree species based on monthly mean temperature, wind speed, and total precipitation using three variable selection methods: 1) the t-test based key variable screening followed by linear regression with stepwise procedure (TM), 2) direct linear regression with stepwise procedure from the full variable model (FM), and 3) LASSO regression from the full variable model (LM). RESULTS: Data obtained during 1998-2017 and 2018=2021 were utilized for model development and validation, respectively. The root mean squared error, mean absolute error, mean error, and coefficient of determination (R²) revealed that the TM models were best suited for actual forecasting, even though R² in the TM model was lower than those of the FM and LM models. CONCLUSIONS: The annual variation model in this study can be integrated with the daily pollen forecast model by controlling the annual pollen potential, and the accuracy of the daily forecast can be improved accordingly.

Diversity of Endophytes of Actinidia arguta in Different Seasons.

The seasonal changes in environmental conditions can alter the growth states of host plants, thereby affecting the living environment of endophytes and forming different endophytic communities. This study employs Illumina MiSeq next-generation sequencing to analyze the 16SrRNA and ITS rDNA of endophytes in 24 samples of Actinidia arguta stem tissues across different seasons. The results revealed a high richness and diversity of endophytes in Actinidia arguta, with significant seasonal variations in microbial community richness. This study identified 897 genera across 36 phyla for bacteria and 251 genera across 8 phyla for fungi. Notably, 69 bacterial genera and 19 fungal genera significantly contributed to the differences in community structure across seasons. A distinctive feature of coexistence in the endophytic community, both specific and conservative across different seasons, was observed. The bacterial community in winter demonstrated significantly higher richness and diversity compared to the other seasons. Environmental factors likely influence the optimal timing for endophyte colonization. Solar radiation, temperature, precipitation, and relative humidity significantly impact the diversity of endophytic bacteria and fungi. In addition, seasonal variations show significant differences in the nutritional modes of fungal endophytes and the degradation, ligninolysis, and ureolysis functions of bacterial endophytes. This study elucidates the potential role of endophytes in assisting Actinidia arguta in adapting to seasonal changes and provides a theoretical basis for further exploration of functional microbial strains.

Seasonal patterns of communicable disease incidence and antibiotic prescribing in Moria refugee camp, Greece.

BACKGROUND: Infectious diseases remain a major risk for refugees living in camps. Limited research has been undertaken into the burden and impact of infections in the current refugee crisis around the Mediterranean.This analysis examines the frequency and incidence rates of common infections, and use of antibiotics at a healthcare facility inside Moria refugee camp on the island of Lesvos, Greece, during the winter and summer seasons of 2019. METHODS: This is a retrospective analysis of routinely, prospectively collected service data from the main acute healthcare facility inside Moria camp. RESULTS: Of a total of 9601 consultations, 25.16% were for infections (winter: 31.53%, summer: 19.45%). Respiratory, skin and gastrointestinal infections were the most frequent, with incidence rates up to 3.5 times, 50 times and twice as high as those in Western Europe, respectively. Antibiotic prescribing was high (27.7% of all respiratory infections) with high use of broad-spectrum antibiotics (40.2%), raising concerns about induction of antimicrobial resistance. CONCLUSIONS: The burden of infectious diseases in refugee camps remains high throughout all seasons. Antimicrobial stewardship programmes should be adapted to refugee camp settings to prevent the development of unnecessary antimicrobial resistance. Improving living conditions and access to healthcare in refugee camps is likely to reduce infection rates and antimicrobial resistance among refugees.

Homo temporus: Seasonal Cycles as a Fundamental Source of Variation in Human Psychology.

Many animal species exhibit seasonal changes in their physiology and behavior. Yet despite ample evidence that humans are also responsive to seasons, the impact of seasonal changes on human psychology is underappreciated relative to other sources of variation (e.g., personality, culture, development). This is unfortunate because seasonal variation has potentially profound conceptual, empirical, methodological, and practical implications. Here, we encourage a more systematic and comprehensive collective effort to document and understand the many ways in which seasons influence human psychology. We provide an illustrative summary of empirical evidence showing that seasons impact a wide range of affective, cognitive, and behavioral phenomena. We then articulate a conceptual framework that outlines a set of causal mechanisms through which seasons can influence human psychology-mechanisms that reflect seasonal changes not only in meteorological variables but also in ecological and sociocultural variables. This framework may be useful for integrating many different seasonal effects that have already been empirically documented and for generating new hypotheses about additional seasonal effects that have not yet received empirical attention. The article closes with a section that provides practical suggestions to facilitate greater appreciation for, and systematic study of, seasons as a fundamental source of variation in human psychology.

Understanding temporal and spatial distribution of intestinal nematodes of horses using faecal egg counts and DNA metabarcoding.

This study reports the spatial and temporal distribution of ascarid and strongylid nematodes in Thoroughbred horses by age category across different climatic zones in Australia over an 18-month period. Faecal samples (n = 2046) from individual horses were analysed using the modified McMaster technique for faecal egg counts (FECs). Strongylids were identified using PCR-directed next-generation sequencing of the second internal transcribed spacer (ITS-2) of the nuclear ribosomal DNA. Yearlings had the highest prevalence (82%) of strongyle eggs followed by weanlings (79%), foals (58%), wet mares (49%) and dry mares (46%). For Parascaris spp., foals had the highest prevalence (35%) followed by weanlings (21%) and yearlings (10%). The highest mean FECs for Parascaris spp. were observed in foals (525 eggs per gram [EPG] of faeces) while those for strongyles were in yearlings (962 EPG). Among horses that were classified as adults at the time of sampling, 77% (860 of 1119) of mares were low (i.e., <250 EPG) strongyle egg-shedders. Mean strongyle FEC counts were highest in the Mediterranean (818 EPG) followed by summer (599 EPG), winter (442 EPG), and non-seasonal (413 EPG) rainfall zones. Twenty-six nematode species were detected, with Cylicostephanus longibursatus (26.5%), Cylicocyclus nassatus (23.7%) and Coronocyclus coronatus (20.5%) being the most frequently detected species. Their richness and relative abundance varied with horse age, season and climatic zone. In addition, Strongylus equinus and Triodontophorus spp. (T. brevicauda and T. serratus) were also detected. This comprehensive study elucidates spatial (climatic zone) and temporal (i.e., seasonal) trends in prevalence and burdens of intestinal nematodes in Australian horses using non-invasive conventional and molecular methods. The information presented in this study is crucial for developing integrated management strategies to control horse parasites in farmed horses.

Exploring seasonality in catatonia diagnosis: Evidence from a large-scale population study.

Catatonia is a severe psychomotor syndrome mainly associated with psychiatric disorders, such as mood disorders and schizophrenia. Seasonal patterns have been described for these psychiatric disorders, and a previous study conducted in South London showed for the first time a seasonal pattern in the onset of catatonia. In this study, we aim to extend those findings to a larger national sample of patients admitted to French metropolitan hospitals, between 2015 and 2022, and to perform subgroup analyses by the main associated psychiatric disorder. A total of 6225 patients diagnosed with catatonia were included. A seasonal pattern for catatonia diagnosis was described, using cosinor models. Two peaks of diagnoses for catatonic cases were described in March and around September-October. Depending on the associated psychiatric disorder, the seasonality of catatonia diagnosis differed. In patients suffering with mood disorders, peaks of catatonia diagnosis were found in March and July. For patients suffering with schizophrenia, no seasonal pattern was found.

Seasonality and clinical characteristics of MS in an equatorial country.

BACKGROUND: Month and season of birth have been associated with risk of multiple sclerosis (MS), but there is relatively little evidence regarding their influence on the timing and severity of disease at onset. OBJECTIVE: To assess whether month and season of birth influence the age and phenotype at onset of MS as well as its severity in a cohort of Colombian patients. METHODS: This study is an analysis on MS cases only, drawn from a previously published case-control study. MS cases confirmed with current diagnostic criteria cared for at least once in our center were included. We assessed the influence of the month and season of birth in the age at MS onset, MS severity score, and age-related MS severity score using multiple and pairwise comparisons. Age at onset was also studied using Kaplan-Meier survival estimates compared with the log-rank test. The likelihood of progressive MS onset was evaluated with OR estimated from logistic regression models adjusted for age at onset and sex. RESULTS: 668 MS cases were included. No significant differences were found in the age at MS onset according to month of birth or season of birth. Neither month of birth nor season of birth conferred significant differences in MS severity score or age-related MS severity score. No significant association was found between month (ORs ranging from 0.62 to 3.11, none significant) or season of birth (OR 0.91; 95 %CI: 0.46-1.84) with primary progressive MS. CONCLUSION: The month or season of birth do not appear to influence the age onset and phenotype of MS in our country.

The Connotation and Clinical Significance of “Spleen Governs Time” based on the Zangxiang （藏象） Time-space View / 中医杂志

There are different views on the theory of “spleen governs time”， which is still a hot spot in the study of Zangxiang （藏象） theory. Based on Zangxiang time-space view， it is found that the thinking mode of the spleen governing time theory follows space-time logic. It is believed that the different time views of the spleen governing time are all formed based on the space view that the spleen belongs to earth and resides in the center， and the zang time theory is developed with the unified time and space logic. Guided by Zangxiang time-space view， the origin of the spleen belonging to earth and residing in the center is traced， and the theoretical connotation and its clinical application of spleen governing time under different time-space logic are explored with reference to the four season and five zang theory， five season and five zang theory， six season and six zang theory， and eight season and eight zang theory.

Water Level Fluctuations Modulate the Microbiomes Involved in Biogeochemical Cycling in Floodplains.

Drastic changes in hydrological conditions within floodplain ecosystems create distinct microbial habitats. However, there remains a lack of exploration regarding the variations in microbial function potentials across the flooding and drought seasons. In this study, metagenomics and environmental analyses were employed in floodplains that experience hydrological variations across four seasons. Analysis of functional gene composition, encompassing nitrogen, carbon, and sulfur metabolisms, revealed apparent differences between the flooding and drought seasons. The primary environmental drivers identified were water level, overlying water depth, submergence time, and temperature. Specific modules, e.g., the hydrolysis of ß-1,4-glucosidic bond, denitrification, and dissimilatory/assimilatory nitrate reduction to ammonium, exhibited higher relative abundance in summer compared to winter. It is suggested that cellulose degradation was potentially coupled with nitrate reduction during the flooding season. Phylogenomic analysis of metagenome-assembled genomes (MAGs) unveiled that the Desulfobacterota lineage possessed abundant nitrogen metabolism genes supported by pathway reconstruction. Variation of relative abundance implied its environmental adaptability to both the wet and dry seasons. Furthermore, a novel order was found within Methylomirabilota, containing nitrogen reduction genes in the MAG. Overall, this study highlights the crucial role of hydrological factors in modulating microbial functional diversity and generating genomes with abundant nitrogen metabolism potentials.

Reproductive biology of the totoaba (Totoaba macdonaldi), an endangered species in the Gulf of California.

The totoaba (Totoaba macdonaldi) is an emblematic species endemic to the Gulf of California, which has been protected since the mid-70 s by Mexican and international laws. For the present study, 153 totoaba individuals were collected from 2011 to 2014, on which gonad histology analyses were carried out. We identified six ovarian phases and eleven oocyte subphases in the gonad development of females; in males, four development phases were identified. The totoaba is an iteroparous species based on the number of breeding opportunities. According to the organization of the ovary and the presence of oocyte subphases, ovarian dynamics can be considered asynchronous, as demonstrated by the multimodal distribution of oocyte diameter. The totoaba is a batch spawner that releases oocytes over several months. The reproductive period spans from February to May, with a reproductive peak in March. Likewise, the gonadosomatic index showed that the reproductive activity of totoaba peaked in March and April. The female:male sex ratio, although variable throughout the sampling period, yielded an overall value of 0.89:1, with non-significant differences between the number of females and males (P > 0.05). The length at first sexual maturity (L50%) was 1 354 mm TL for females and 1 299 mm TL for males. The average fecundity was 2 662 626 (standard error, s.e., 1 021 124) oocytes, and the average relative fecundity was 99 (s.e. 22) oocytes g-1 (ovary-free). The mean and maximum oocyte diameter showed a positive and non-significant (P > 0.05) relationship with the mean sea surface temperature.

The Impact of Warming on Assembly Processes and Diversity Patterns of Bacterial Communities in Mesocosms.

Bacteria in lake water bodies and sediments play crucial roles in various biogeochemical processes. In this study, we conducted a comprehensive analysis of bacterioplankton and sedimentary bacteria community composition and assembly processes across multiple seasons in 18 outdoor mesocosms exposed to three temperature scenarios. Our findings reveal that warming and seasonal changes play a vital role in shaping microbial diversity, species interactions, and community assembly disparities in water and sediment ecosystems. We observed that the bacterioplankton networks were more fragile, potentially making them susceptible to disturbances, whereas sedimentary bacteria exhibited increased stability. Constant warming and heatwaves had contrasting effects: heatwaves increased stability in both planktonic and sedimentary bacteria communities, but planktonic bacterial networks became more fragile under constant warming. Regarding bacterial assembly, stochastic processes primarily influenced the composition of planktonic and sedimentary bacteria. Constant warming intensified the stochasticity of bacterioplankton year-round, while heatwaves caused a slight shift from stochastic to deterministic in spring and autumn. In contrast, sedimentary bacteria assembly is mainly dominated by drift and remained unaffected by warming. Our study enhances our understanding of how bacterioplankton and sedimentary bacteria communities respond to global warming across multiple seasons, shedding light on the complex dynamics of microbial ecosystems in lakes.