Cost-effective integrated conservation and restoration priorities by trading off multiple ecosystem services.

Conservation and restoration have long been regarded as two separate management avenues to maintain or enhance ecosystem functioning. Despite the commonalities in goals, restoration is generally considered a lower priority than conservation due to its generally greater cost, uncertainties in multiple trajectories and deals with already degraded habitats. However, when resources and opportunities for meeting conservation needs are limited, restoration could be an imperative avenue to provide additional benefits from conservation. The priority of conservation and restoration should be integrated based on an identical framework cost effectively to obtain the maximum ecological benefits with minimal costs. We propose a methodological framework to integrate conservation and restoration based on theories of Systematic Conservation Planning, which could identify best integrated conservation and restoration pattern in a cost-effective way on the basis of the provisions of multiple ecosystem services (i.e., carbon storage, water yield, soil retention and habitat quality). The trade-offs among four ecosystem services are assessed with an each of 10% increment in the target levels of ecosystem services. We demonstrated our approach at a regional scale, in the Dongting Lake Area, China. Our results showed that conservation is prioritized in a higher proportion of the study area when the targets are low. When the target level became higher, restoration gained more importance with growing area. This highlights that restoration pattern is indispensable when target setting become high and the integrated conservation and restoration planning is more cost efficient than that of conservation alone. Improving the carbon storage and soil retention would also contribute greatly to an increase in other ecosystems, but increasing the water yield and habitat quality would not guarantee an improvement for others. Integrated conservation and restoration planning will facilitate refine target achievement of conservation and restoration recommendations, by the trade-offs between conservation and restoration, and among different ecosystem services, our prioritization framework provides a useful insight in implementing the integrated planning, which can improve the efficiency in increasing ecosystem services compared to use either conservation or restoration ways.

The Potential Applications and Challenges of ChatGPT in the Medical Field.

ChatGPT, an AI-driven conversational large language model (LLM), has garnered significant scholarly attention since its inception, owing to its manifold applications in the realm of medical science. This study primarily examines the merits, limitations, anticipated developments, and practical applications of ChatGPT in clinical practice, healthcare, medical education, and medical research. It underscores the necessity for further research and development to enhance its performance and deployment. Moreover, future research avenues encompass ongoing enhancements and standardization of ChatGPT, mitigating its limitations, and exploring its integration and applicability in translational and personalized medicine. Reflecting the narrative nature of this review, a focused literature search was performed to identify relevant publications on ChatGPT's use in medicine. This process was aimed at gathering a broad spectrum of insights to provide a comprehensive overview of the current state and future prospects of ChatGPT in the medical domain. The objective is to aid healthcare professionals in understanding the groundbreaking advancements associated with the latest artificial intelligence tools, while also acknowledging the opportunities and challenges presented by ChatGPT.

Surface water quality, public health, and ecological risks in Bangladesh-a systematic review and meta-analysis over the last two decades.

Water quality has recently emerged as one of the utmost severe ecological problems being faced by the developing countries all over the world, and Bangladesh is no exception. Both surface and groundwater sources contain different contaminants, which lead to numerous deaths due to water-borne diseases, particularly among children. This study presents one of the most comprehensive reviews on the current status of water quality in Bangladesh with a special emphasis on both conventional pollutants and emerging contaminants. Data show that urban rivers in Bangladesh are in a critical condition, especially Korotoa, Teesta, Rupsha, Pashur, and Padma. The Buriganga River and few locations in the Turag, Balu, Sitalakhya, and Karnaphuli rivers have dissolvable oxygen (DO) levels of almost zero. Many waterways contain traces of NO3, NO2, and PO4-3 pollutants. The majority of the rivers in Bangladesh also have Zn, Cu, Fe, Pb, Cd, Ni, Mn, As, and Cr concentrations that exceed the WHO permissible limits for safe drinking water, while their metal concentrations exceed the safety threshold for irrigation. Mercury poses the greatest hazard with 90.91% of the samples falling into the highest risk category. Mercury is followed by zinc 57.53% and copper 29.16% in terms of the dangers they pose to public health and the ecosystem. Results show that a considerable percentage of the population is at risk, being exposed to contaminated water. Despite hundreds of cryptosporidiosis cases reported, fecal contamination, i.e., Cryptosporidium, is totally ignored and need serious considerations to be regularly monitored in source water.

Seawall-induced impacts on large river delta wetlands and blue carbon storage under sea level rise.

Coastal wetlands have been enclosed by thousands of kilometers of seawalls in China to obtain extra land for rapid socio-economic development in the coastal region. Although understanding seawall-induced impacts on delta wetlands and their ecosystem can provide valuable decision-making information to support coastal management, quantifying and measuring long-term, cumulative ecological impacts of harden seawall under sea level rise (SLR) remains a vital research gap. In this study, by combining the land-use transformation trajectory analysis, ecosystem services assessment, and the SLAMM (Sea Level Affecting Marshes Model), we have explored the seawall-induced effects on temporal-spatial dynamics of tidal wetlands and the Coastal Blue Carbon storage (CBCs) in the Yellow River Delta (YRD) under the SLR by 2050 and 2100. Our study revealed that the delta wetland area would have increased by 2327.87 km2 after seawall removal without regard for SLR while increasing by 3050 km2 in 2100 in both seawall scenarios under SLR. The effects of driving processes trajectory on the changes in CBCs indicated two-sided seawall-induced impacts on the delta wetlands in the YRD, i.e., functioning as a physical coastal defense to prevent coastal erosion (before 2050) while intensifying coastal squeeze effects and quickening the loss in delta wetlands and the CBCs by hindering their inland migration under SLR. For example, the gap of CBCs between the seawall-impacting and seawall-removal scenarios would have reached at 9.94 × 106 Mg by 2050 under the SLR, and the magnitude of the final decrease effect on CBCs induced by the seawall-impacting would be nearly 5 times higher than its gain after seawall-removal in the regressive succession, while the same magnitudes in the salinization process on both scenarios. Our study has provided valuable insights for shoreline management by mitigating seawall-induced impacts on the delta wetlands and their ecosystem services such as CBCs.

A quite sensitive fluorescent loop-mediated isothermal amplification for rapid detection of respiratory syncytial virus.

INTRODUCTION: Human respiratory syncytial virus (hRSV) is a common respiratory virus closely related to respiratory tract infection (RTI). Rapid and accurate detection of hRSV is urgently needed to reduce the high morbidity and mortality due to hRSV infection. METHODOLOGY: Here, we established a highly sensitive and specific reverse-transcription loop-mediated isothermal amplification (RT-LAMP) assay for the rapid detection of A and B group hRSV simultaneously. The specific primer sets for hRSV A and B groups were designed in the M and M2-2 gene, respectively. SYTO 9 was used as the fluorescent dye for real-time monitoring of the amplification of hRSV RNA without cross reaction between hRSV A and B. RESULTS: The limit of detection (LOD) of our new method was 281.17 50% tissue culture infective doses (TCID50)/mL for hRSV A and 1.58 TCID50/mL for hRSV B. Using 90 clinical samples, a comparison to traditional RT-PCR was performed to validate this assay. The positivity rate of RT-LAMP and RT-PCR were 67.8% and 55.6%, respectively, and the positivity rate of RT-LAMP was significantly higher than RT-PCR (χ2 test, P < 0.01). CONCLUSIONS: Compared with traditional RT-PCR method, the newly developed fluorescent RT-LAMP combined with well-designed primers and SYTO 9 is quite sensitive, specific, rapid and well applicable to hRSV clinical diagnosis.

Immune Cell Types and Secreted Factors Contributing to Inflammation-to-Cancer Transition and Immune Therapy Response.

Although chronic inflammation increases many cancers' risk, how inflammation facilitates cancer development is still not well studied. Recognizing whether and when inflamed tissues transition to cancerous tissues is of utmost importance. To unbiasedly infer molecular events, immune cell types, and secreted factors contributing to the inflammation-to-cancer (I2C) transition, we develop a computational package called "SwitchDetector" based on liver, gastric, and colon cancer I2C data. Using it, we identify angiogenesis associated with a common critical transition stage for multiple I2C events. Furthermore, we infer infiltrated immune cell type composition and their secreted or suppressed extracellular proteins to predict expression of important transition stage genes. This identifies extracellular proteins that may serve as early-detection biomarkers for pre-cancer and early-cancer stages. They alone or together with I2C hallmark angiogenesis genes are significantly related to cancer prognosis and can predict immune therapy response. The SwitchDetector and I2C database are publicly available at www.inflammation2cancer.org.

Complete genome sequence of Bacillus velezensis S3-1, a potential biological pesticide with plant pathogen inhibiting and plant promoting capabilities.

Antagonistic soil microorganisms, which are non-toxic, harmless non-pollutants, can effectively reduce the density of pathogenic species by some ways. Bacillus velezensis strain S3-1 was isolated from the rhizosphere soil of cucumber, and was shown to inhibit plant pathogens, promote plant growth and efficiently colonize rhizosphere soils. The strain produced 13 kinds of lipopeptide antibiotics, belonging to the surfactin, iturin and fengycin families. Here, we presented the complete genome sequence of S3-1. The genome consists of one chromosome without plasmids and also contains the biosynthetic gene cluster that encodes difficidin, macrolactin, surfactin and fengycin. The genome contains 86 tRNA genes, 27 rRNA genes and 57 antibiotic-related genes. The complete genome sequence of B. velezensis S3-1 provides useful information to further detect the molecular mechanisms behind antifungal actions, and will facilitate its potential as a biological pesticide in the agricultural industry.

[Characteristics of Bacterial Communities in Surface-flow Constructed Wetlands].

Employing high-throughput sequencing as the method, this study analyzed the relationship between the water environment and the microbial community structure in the surface-flow constructed wetland. The results showed that: the mean Shannon-Wiener index was 6.57 and there were mainly 18 categories in the microbial community, including Proteobacterice (38.97%), Bacteroidetes (15.63%) etc. Of these, the total content of 22 genera was over 1%. The microbial biodiversity showed an increasing trend at the beginning and then turned to a decreasing trend in the flowing direction. The results also revealed that pH, ORP, NH4+-N, NO2--N and TN acted as important restricting factors for the microbial community.

[Contamination and Ecological Risk Assessment of Mercury in Hengshuihu Wetland, Hebei Province].

Investigation on the concentrations and the distribution characteristics of total mercury in atmosphere, water surface and soil/ sediments of Hengshuihu wetland was carried out based on a uniform set point sampling method. The geoaccumulation index and potential ecological risk index methods were simultaneously used to assess the mercury pollution in Hengshuihu wetland ecosystem. The results showed that: the total mercury content in Hengshuihu wetland atmosphere ranged from 1.0 to 5.0 ng · m⁻³, with an average of (2.9 ± 0.85) ng · m⁻³; the total mercury content in water surface ranged from 0.010 to 0.57 µg · L⁻¹, with the average value of (0.081 ± 0.053) µg · L⁻¹; the total mercury content in soil/sediment ranged from 0.001 0 to 0.058 mg · kg⁻¹, with an average of (0.027 ± 0.013) mg · kg⁻¹. The distribution features of total mercury in Hengshuihu wetland were as follows: the total mercury concentration in surface water of the shore was significantly higher than that in the center (P < 0.05), but the total mercury concentration of sediments in the center of the lake was significantly higher than that at the shore (P < 0.05); the total mercury in the soil of shore had a consistent trend with that in the atmosphere; high concentrations of total mercury pollution were accompanied by severe human activities. The geoaccumulation index showed that mercury pollution in Hengshuihu wetland was at clean level; potential ecological risk index showed mercury contamination had a low ecological risk in Hengshuihu wetland.

Complete genome sequence of the plant growth-promoting rhizobacterium Pseudomonas aurantiaca strain JD37.

Pseudomonas aurantiaca Strain JD37, a Gram-negative bacterium isolated from potato rhizosphere soil (Shanghai, China), is a plant growth-promoting rhizobacterium. The JD37 genome consists of only one chromosome with no plasmids. Its genome contains genes involved plant growth promoting, biological control, and other function. Here, we present the complete genome sequence of P. aurantiaca JD37. As far as we know, this is the first whole-genome of this species.

Genetic variation of human respiratory syncytial virus among children with fever and respiratory symptoms in Shanghai, China, from 2009 to 2012.

Human respiratory syncytial virus (HRSV) of genus Pneumovirus is one of the most common pathogens causing severe acute lower respiratory tract infection in infants and children. No information on the genotype distribution of HRSV is available in East China (e.g. Shanghai). From August 2009 to December 2012, 2407 nasopharyngeal swabs were collected from outpatient children with fever and respiratory symptoms in Shanghai. HRSV infection was determined using a multiplex RT-PCR assay. The second hypervariable region (HVR2) of G protein gene of HRSV was amplified and sequenced from HRSV positive samples. Genotypes were characterized by phylogenetic analyses. Of 2407 nasopharyngeal samples, 184 (7.6%) were tested as HRSV positive. From 160 positive subjects with sufficient nasopharyngeal samples, 69 HVR2 sequences were obtained by RT-PCR and sequencing. Three HRSV epidemic seasons were observed from August 2009 to December 2012, and an extreme outbreak of HRSV occurred in the 2009-2010 epidemic season. A genotype shift of predominant HRSV strains from B group in the 2009-2010 epidemic season to group A in the subsequent epidemic seasons was observed. Ten HRSV genotypes, including four group A genotypes NA1, NA3, NA4, and ON1, and six group B genotypes BA9, BA10, SAB4, CB1, BAc, and BA?, were detected in Shanghai. Seven genotypes (NA1, BA9-10, SAB4, CB1, BAc and BA?) were found in the 2009-2010 epidemic season. The co-circulation of multiple genotypes was associated with the extreme outbreak of HRSV among children with fever and respiratory symptoms in the 2009-2010 epidemic season.

New method for the visual detection of human respiratory syncytial virus using reverse transcription loop-mediated amplification.

Human respiratory syncytial virus (HRSV) is a seasonal respiratory pathogen that causes respiratory infection in children and the elderly. A new, reverse transcriptase loop-mediated isothermal amplification (RT-LAMP) assay was developed for the rapid (within 1h), simultaneous detection of A and B group HRSV. Primers specific for groups A and B were designed to amplify the N and L genes of HRSV, respectively. A fluorescent dye, calcein, was used as an indicator for the endpoint visual detection and/or real-time amplification of HRSV RNA. The detection limit of the new method was 281.17 50% tissue culture infective doses (TCID50)/ml for HRSV A and 1.58 TCID50/ml for HRSV B. To evaluate the validity of this method, a comparison with RT-PCR was performed using 77 nasopharyngeal swabs as samples. Both RT-LAMP and RT-PCR detected HRSV in 38 HRSV samples, yielding a positive rate of 49%. Of the RT-LAMP positive samples, 36 (95%) were also positive by RT-PCR, while two were negative by RT-PCR. Among the 36 RT-LAMP and RT-PCR positive samples, 11 belonged to HRSV group A, while 25 belonged to group B. The results show that the new RT-LAMP is simple, rapid and well suited for HRSV diagnosis, especially in a limited-resource setting.