In response to the strategic call for the " Great Protection" of the Yangtze River Economic Belt and to fulfill the important historical tasks assigned by the state to the provinces and cities of the area,th...In response to the strategic call for the " Great Protection" of the Yangtze River Economic Belt and to fulfill the important historical tasks assigned by the state to the provinces and cities of the area,the Yangtze River Economic Belt is adjusting the agricultural industry structure,optimizing the input-output ratio,and ensuring stable and sustainable agricultural production. Based on the combination of the three-stage Data Envelopment Analysis( DEA) model and cluster analysis,this study examined the Yangtze River Economic Belt from 2008 to 2018 to measure its agricultural production efficiency and to analyze its temporal and spatial characteristics. Studies showed that exogenous environmental factors significantly( P < 5%) impacted agricultural production efficiency in the Yangtze River Economic Zone,and there were temporal and spatial differences. These included:(1) after excluding environmental factors,the overall agricultural production efficiency of the Yangtze River Economic Zone had improved. Sichuan Province and Jiangsu Province were at the forefront of efficiency,whereas the agricultural production efficiency of Shanghai had declined obviously.(2) The agricultural production efficiency of the Yangtze River Economic Belt varied year by year,with fluctuating development. The middle reaches of the Yangtze River had advanced agricultural production efficiency more than the upstream and downstream regions,and the agricultural production efficiency of the individual provinces did not match their economic and social development.(3) Increases in labor,land,irrigation,and other input factors increased agriculture production efficiency,and there was no correlation between fiscal investment,per capita gross domestic product( GDP) and agricultural production efficiency,while the disaster-affected area had a significantly negative impact on agricultural production efficiency.展开更多
Various tools specifically designed to accelerate evolutionary processes for biocatalysis and biotransformation have been developed in the field of protein engineering.Among them,protein language modeling(PLM)is extre...Various tools specifically designed to accelerate evolutionary processes for biocatalysis and biotransformation have been developed in the field of protein engineering.Among them,protein language modeling(PLM)is extremely efficient for large-scale screening,thus initiating a new era of accelerated prediction.Therefore,this study considered the highly promising ancestral sequence reconstruction 1(AsR1)-polyethylene terephthalate hydrolase(PETase),previously obtained via ancestral sequence reconstruction,as a representative model.The PLM Evolutionary Scale Modeling-1V was used as an amino acid optimizer to efficiently identify four beneficial variants that improved terephthalic acid(TPA)yield by 1.7-fold.The triple variant ASR1-HRT(N81H/W120R/V265T)showed a 6.1-fold increase in TPA yield compared with that of the five-site variant FAST-PETase(N233K/R224Q/S121E/D186H/R280A)through the recombination of a single beneficial variant.Moreover,ASR1-HRT achieved a depolymerization rate of 96.1%for commercial polyethylene terephthalate(PET)plastics.Molecular dynamics simulations showed that the enhancement of structural stability at high temperatures and changes in catalytic reactions due to solvation contributed to efficient and stable properties.In addition,through exploring the enzyme-PET film interaction landscape at the molecular level,the two motifs of ASR1-PETase were found to play key roles in the catalytic process at the solid-liquid interface.This enhanced the initial adsorption of the enzyme on PET film,thereby enhancing the hydrolysis performance.Overall,the PLM optimization strategy has the potential to be applied to other enzymes,thereby efficiently accelerating protein engineering.展开更多
With the global expansion of protected areas(PAs)and increasing involvement of indigenous communities,understanding their impacts on indigenous peoples is crucial.This study evaluates the extent to which China’s nati...With the global expansion of protected areas(PAs)and increasing involvement of indigenous communities,understanding their impacts on indigenous peoples is crucial.This study evaluates the extent to which China’s national cultural ecological protection areas(CEPAs)safeguard indigenous culture,using land-use disturbance as a key metric to assess impacts on cultural keystone species(CKS).We employ a multi-step evaluation framework that reclassifies land use,identifies environment-dependent CKS,and analyzes land-use dynamics by comparing disturbances before and after CEPAs establishment.Our results reveal that,despite overall improvements in land conditions,over 36%of CEPAs are in land disturbance threat or warning status.All of these sites are indigenous CEPAs,indicating a disproportionate disturbance burden on indigenous communities.Notably,traditional medicinal practices are particularly vulnerable.These findings underscore the urgent need for policies aligning ecological diversity with cultural diversity to support the global commitment to expand PAs to over 30%of Earth’s land and oceans by 2030.展开更多
基金Supported by the Strategic Leading Science and Technology Project (Class A)of Chinese Academy of Sciences (XDA23020101)the National Natural Science Foundation of China (41801129)。
文摘In response to the strategic call for the " Great Protection" of the Yangtze River Economic Belt and to fulfill the important historical tasks assigned by the state to the provinces and cities of the area,the Yangtze River Economic Belt is adjusting the agricultural industry structure,optimizing the input-output ratio,and ensuring stable and sustainable agricultural production. Based on the combination of the three-stage Data Envelopment Analysis( DEA) model and cluster analysis,this study examined the Yangtze River Economic Belt from 2008 to 2018 to measure its agricultural production efficiency and to analyze its temporal and spatial characteristics. Studies showed that exogenous environmental factors significantly( P < 5%) impacted agricultural production efficiency in the Yangtze River Economic Zone,and there were temporal and spatial differences. These included:(1) after excluding environmental factors,the overall agricultural production efficiency of the Yangtze River Economic Zone had improved. Sichuan Province and Jiangsu Province were at the forefront of efficiency,whereas the agricultural production efficiency of Shanghai had declined obviously.(2) The agricultural production efficiency of the Yangtze River Economic Belt varied year by year,with fluctuating development. The middle reaches of the Yangtze River had advanced agricultural production efficiency more than the upstream and downstream regions,and the agricultural production efficiency of the individual provinces did not match their economic and social development.(3) Increases in labor,land,irrigation,and other input factors increased agriculture production efficiency,and there was no correlation between fiscal investment,per capita gross domestic product( GDP) and agricultural production efficiency,while the disaster-affected area had a significantly negative impact on agricultural production efficiency.
基金supported by the National Natural Science Foundation of China(Grant No.22478199)Jiangsu Basic Research Center for Synthetic Biology(Grant No.BK20233003).
文摘Various tools specifically designed to accelerate evolutionary processes for biocatalysis and biotransformation have been developed in the field of protein engineering.Among them,protein language modeling(PLM)is extremely efficient for large-scale screening,thus initiating a new era of accelerated prediction.Therefore,this study considered the highly promising ancestral sequence reconstruction 1(AsR1)-polyethylene terephthalate hydrolase(PETase),previously obtained via ancestral sequence reconstruction,as a representative model.The PLM Evolutionary Scale Modeling-1V was used as an amino acid optimizer to efficiently identify four beneficial variants that improved terephthalic acid(TPA)yield by 1.7-fold.The triple variant ASR1-HRT(N81H/W120R/V265T)showed a 6.1-fold increase in TPA yield compared with that of the five-site variant FAST-PETase(N233K/R224Q/S121E/D186H/R280A)through the recombination of a single beneficial variant.Moreover,ASR1-HRT achieved a depolymerization rate of 96.1%for commercial polyethylene terephthalate(PET)plastics.Molecular dynamics simulations showed that the enhancement of structural stability at high temperatures and changes in catalytic reactions due to solvation contributed to efficient and stable properties.In addition,through exploring the enzyme-PET film interaction landscape at the molecular level,the two motifs of ASR1-PETase were found to play key roles in the catalytic process at the solid-liquid interface.This enhanced the initial adsorption of the enzyme on PET film,thereby enhancing the hydrolysis performance.Overall,the PLM optimization strategy has the potential to be applied to other enzymes,thereby efficiently accelerating protein engineering.
基金supported by the 2023 Key Project of Guizhou Philosophy and Social Science Planning(Grant No.23GZZD22).
文摘With the global expansion of protected areas(PAs)and increasing involvement of indigenous communities,understanding their impacts on indigenous peoples is crucial.This study evaluates the extent to which China’s national cultural ecological protection areas(CEPAs)safeguard indigenous culture,using land-use disturbance as a key metric to assess impacts on cultural keystone species(CKS).We employ a multi-step evaluation framework that reclassifies land use,identifies environment-dependent CKS,and analyzes land-use dynamics by comparing disturbances before and after CEPAs establishment.Our results reveal that,despite overall improvements in land conditions,over 36%of CEPAs are in land disturbance threat or warning status.All of these sites are indigenous CEPAs,indicating a disproportionate disturbance burden on indigenous communities.Notably,traditional medicinal practices are particularly vulnerable.These findings underscore the urgent need for policies aligning ecological diversity with cultural diversity to support the global commitment to expand PAs to over 30%of Earth’s land and oceans by 2030.
