Subtropical evergreen broad-leaved trees are usually vulnerable to freezing stress,while hexaploid wild Camellia oleifera shows strong freezing tolerance.As a valuable genetic resource of woody oil crop C.oleifera,wil...Subtropical evergreen broad-leaved trees are usually vulnerable to freezing stress,while hexaploid wild Camellia oleifera shows strong freezing tolerance.As a valuable genetic resource of woody oil crop C.oleifera,wild C.oleifera can serve as a case for studying the molecular bases of adaptive evolution to freezing stress.Here,47 wild C.oleifera from 11 natural distribution sites in China and 4 relative species of C.oleifera were selected for genome sequencing.“Min Temperature of Coldest Month”(BIO6)had the highest comprehensive contribution to wild C.oleifera distribution.The population genetic structure of wild C.oleifera could be divided into two groups:in cold winter(BIO6≤0℃)and warm winter(BIO6>0℃)areas.Wild C.oleifera in cold winter areas might have experienced stronger selection pressures and population bottlenecks with lower N_(e) than those in warm winter areas.155 singlenucleotide polymorphisms(SNPs)were significantly correlated with the key bioclimatic variables(106 SNPs significantly correlated with BIO6).Twenty key SNPs and 15 key copy number variation regions(CNVRs)were found with genotype differentiation>50%between the two groups of wild C.oleifera.Key SNPs in cis-regulatory elements might affect the expression of key genes associated with freezing tolerance,and they were also found within a CNVR suggesting interactions between them.Some key CNVRs in the exon regions were closely related to the differentially expressed genes under freezing stress.The findings suggest that rich SNPs and CNVRs in polyploid trees may contribute to the adaptive evolution to freezing stress.展开更多
The globin superfamily,central to oxygen(O_(2))cascade dynamics,exemplifies how canalization—evolutionary stabilization of phenotypic traits—enables vertebrates to thrive in extreme environments.In birds,hemoglobins...The globin superfamily,central to oxygen(O_(2))cascade dynamics,exemplifies how canalization—evolutionary stabilization of phenotypic traits—enables vertebrates to thrive in extreme environments.In birds,hemoglobins(Hbs)serve as a paradigm of this process,with structural and functional canalization underpinning their exceptional aerobic capacity and elevational diversification.Despite significant advances of globins in our understanding of avian aerobic adaptation,a comprehensive synthesis of functional diversity,molecular evolution,and structural innovation is essential to fully elucidate their canalized roles in O_(2)homeostasis.Integrating perspectives on globin functional diversity and structural evolution,this review examines how chance(mutation/fixation biases)and contingency(historical genetic/epistatic constraints)shape Hb divergence and parallelism,thereby bridging molecular mechanisms with physiological adaptation in birds.We highlight how avian Hbs,canalized through compensatory substitutions and allosteric regulation,achieves a balance between evolutionary robustness and adaptive plasticity.However,critical gaps remain persist:the roles of understudied globins(e.g.,neuroglobin,globin E)and the mechanisms of genetic assimilation in migratory taxa.We propose an integrative framework that incorporates ecological divergence(elevation,flight endurance),phylogenetic timescales,and systems biology to unravel how canalization directs adaptive compromise.By focusing on birds within the amniotes,this synthesis advances a cohesive model for vertebrate evolution,wherein canalized globins reconcile metabolic precision with ecological innovation.Ultimately,this review refines hypotheses of O_(2)cascade evolution and calls for cross-disciplinary studies to decode the genetic and physiological architecture underlying adaptive canalization in extreme environments.展开更多
Due to the fact that conventional heuristic attribute reduction algorithms are poor in running efficiency and difficult in accomplishing the co-evolutionary reduction mechanism in the decision table, an adaptive multi...Due to the fact that conventional heuristic attribute reduction algorithms are poor in running efficiency and difficult in accomplishing the co-evolutionary reduction mechanism in the decision table, an adaptive multicascade attribute reduction algorithm based on quantum-inspired mixed co-evolution is proposed. First, a novel and efficient self- adaptive quantum rotation angle strategy is designed to direct the participating populations to mutual adaptive evolution and to accelerate convergence speed. Then, a multicascade model of cooperative and competitive mixed co-evolution is adopted to decompose the evolutionary attribute species into subpopulations according to their historical performance records, which can increase the diversity of subpopulations and select some elitist individuals so as to strengthen the sharing ability of their searching experience. So the global optimization reduction set can be obtained quickly. The experimental results show that, compared with the existing algorithms, the proposed algorithm can achieve a higher performance for attribute reduction, and it can be considered as a more competitive heuristic algorithm on the efficiency and accuracy of minimum attribute reduction.展开更多
Extreme heat and chronic water scarcity present formidable challenges to large desert-dwelling mammals.In addition to camels,antelopes within the Hippotraginae and Alcelaphinae subfamilies also exhibit remarkable phys...Extreme heat and chronic water scarcity present formidable challenges to large desert-dwelling mammals.In addition to camels,antelopes within the Hippotraginae and Alcelaphinae subfamilies also exhibit remarkable physiological and genetic specializations for desert survival.Among them,the critically endangered addax(Addax nasomaculatus)represents the most desert-adapted antelope species.However,the evolutionary and molecular mechanisms underlying desert adaptations remain largely unexplored.Herein,a high-quality genome assembly of the addax was generated to investigate the molecular evolution of desert adaptation in camels and desert antelopes.Comparative genomic analyses identified 136 genes harboring convergent amino acid substitutions implicated in crucial biological processes,including water reabsorption,fat metabolism,and stress response.Notably,a convergent R146S amino acid mutation in the prostaglandin EP2 receptor gene PTGER2 significantly reduced receptor activity,potentially facilitating large-mammal adaptation to arid environments.Lineage-specific innovations were also identified in desert antelopes,including previously uncharacterized conserved non-coding elements.Functional assays revealed that several of these elements exerted significant regulatory effects in vitro,suggesting potential roles in adaptive gene expression.Additionally,signals of introgression and variation in genetic load were observed,indicating their possible influence on desert adaptation.These findings provide insights into the sequential evolutionary processes that drive physiological resilience in arid environments and highlight the importance of convergent evolution in shaping adaptive traits in large terrestrial mammals.展开更多
The application of the wavelet method to vortex motion prediction is investigated. First, the wavelet method is used to solve two initial boundary problems so as to verify its abilities of controlling numerical errors...The application of the wavelet method to vortex motion prediction is investigated. First, the wavelet method is used to solve two initial boundary problems so as to verify its abilities of controlling numerical errors and capturing local structures. Then, the adaptive wavelet method is used to simulate the vortex emerging process. The results show that the wavelet method can control numerical errors easily, can capture local structures adaptively, and can predict the vortex fluctuation evolution. Therefore, the application of the wavelet method to turbulence is suggested.展开更多
The theory on the cyclic adaptation between society and ecosystems sheds new light on the evolution and internal structure of human–environment systems.This paper introduces the risk index(RI)and adaptation capacity ...The theory on the cyclic adaptation between society and ecosystems sheds new light on the evolution and internal structure of human–environment systems.This paper introduces the risk index(RI)and adaptation capacity index(ACI)to evaluate the rural human–environment system.An evaluation index system for the adaptability of rural human–environment systems is configured in the context of climate change and policy implementation.On this basis,the stages,features,dominant control factors,and evolution mechanism were examined vis-à-vis the adaptability of the rural human–environment system in Darhan Muminggan Joint Banner from 1952 to 2017.The main results are as follows:(1)The evolution of the rural human–environment system can be divided into three stages,namely,the reorganization and rapid development stage(1952–2002)with population,cultivated land,livestock and degraded grassland increasing by 260%,13%,134%and 16.33%,respectively.The rapid to stable development stage(2003–2010)with population increasing by 2.8%;cultivated land,livestock and degraded grassland decreasing by 2.3%,13.6%and 10.7%,respectively.The stable to release stage(2011–2017)with population,cultivated land,livestock and degraded grassland decreasing by 2.6%,0.2%,10.6%and 3.8%,respectively.(2)With the passage of time,the ACI of the rural human–environment system first increased slightly(–0.016–0.031),followed by a slight decline(0.031–0.003),and culminating in a rapid increase(0.003–0.088).In terms of spatial patterns,adaptability is high in the middle,moderate in the north,and low in the south.(3)The evolution of adaptability in the rural human–environment system was mainly controlled by the per capita effective irrigation area(22.31%)and the per capita number of livestock(23.47%)from 1990 to 2000,the desertified area(25.06%)and the land use intensity(21.27%)from 2000 to 2005,and the per capita income of farmers and herdsmen(20.08%)and the per capita number of livestock(18.52%)from 2010 to 2007.(4)Under the effects of climate change and policy interventions,the cyclic adaptation of the rural human–environment system was propelled by the interactions between two kinds of subjects:farmers and herdsmen on the one hand and rural communities on the other hand.The interaction affects the adaptive behavior of the two kinds of subjects,which in turn drives the cyclic evolution of the system.As a result,the system structure and functions developed alternatively between coordinated and uncoordinated states.Small-scale adaptive behaviors of farmers and herdsmen have a profound impact on the evolution of the rural human–environment system.展开更多
In the field of phylogenetic analyses, the rbcL gene encoded large subunit Ribulose-1,5-biphosphate carboxylase/oxygenase （Rubisco, EC4.1.1.39）, which plays a crucial role in the process of photosynthesis for most ...In the field of phylogenetic analyses, the rbcL gene encoded large subunit Ribulose-1,5-biphosphate carboxylase/oxygenase （Rubisco, EC4.1.1.39）, which plays a crucial role in the process of photosynthesis for most terrestrial plants, has been considered to be conserved; however, recent controversy regarding rbcL conservation has appeared since it was proposed to be under natural selection within all principal lineages of land plants. In this study, by examining the variation of DNA and protein sequences among 17 species in the family Tamaricaceae, three nonsynonymous mutations were identified to be under positive selection. The favored sites were located in the alph-helix domains of Rubisco, with decreased hydrophobicity and increased entropy, which could facilitate C〇 2 penetration into the active site of Rubisco. We also found that the expression level of rbcL in different genotypes of Reaumuria soongarica shifted in response to various stresses such as drought, temperature, salt, and light. This study not only sheds light on the functional/structural features of Rubisco in the evolution scenarios from 〇 3-like into C4 in Tamaricaceae but also provides useful information on directing genetic performance to enhance photosynthesis efficiency of desert plants for sustaining fragile desert ecosystems; fur-thermore, it promotes the ability to cope with desert aridification and global warming.展开更多
Pikas(Lagomorpha:Ochotonidae)are small mouselike lagomorphs.To investigate their adaptation to different ecological environments during their dispersal from the Qinghai-Xizang(Tibet)Plateau(QTP),we collected 226 pikas...Pikas(Lagomorpha:Ochotonidae)are small mouselike lagomorphs.To investigate their adaptation to different ecological environments during their dispersal from the Qinghai-Xizang(Tibet)Plateau(QTP),we collected 226 pikas and measured 20 morphological characteristics and recorded habitat information.We also sequenced the genome of 81specimens,representing 27 putative pika species.The genome-wide tree based on 4?090 coding genes identified five subgenera,i.e.,Alienauroa,Conothoa,Lagotona,Ochotona,and Pika,consistent with morphometric data.Morphologically,Alienauroa and Ochotona had similar traits,including smaller size and earlier divergence time compared to other pikas.Consistently,the habitats of Alienauroa and Ochotona differed from those of the remaining subgenera.Phylogenetic signal analysis detected 83 genes significantly related to morphological characteristics,including several visual and hearingrelated genes.Analysis of shared amino acid substitutions and positively selected genes(PSGs)in Alienauroa and Ochotona identified two genes,i.e.,mitochondrial function-related TSFM(p.Q155E)and low-light visual sensitivity-related PROM1(p.H419Y).Functional experiments demonstrated that TSFM-155E significantly enhanced mitochondrial function compared to TSFM-155Q in other pikas,and PROM1-419Y decreased the modeling of dynamic intracellular chloride efflux upon calcium uptake.Alienauroa and Ochotona individuals mostly inhabit different environments(e.g.,subtropical forests)than other pikas,suggesting that a shift from the larger ancestral type and changes in sensory acuity and energy enhancement may have been required in their new environments.This study increases our understanding of the evolutionary history of pikas.展开更多
Single unmanned aerial vehicle(UAV)multitasking plays an important role in multiple UAVs cooperative control,which is as well as the most complicated and hardest part.This paper establishes a threedimensional topograp...Single unmanned aerial vehicle(UAV)multitasking plays an important role in multiple UAVs cooperative control,which is as well as the most complicated and hardest part.This paper establishes a threedimensional topographical map,and an improved adaptive differential evolution(IADE)algorithm is proposed for single UAV multitasking.As an optimized problem,the efficiency of using standard differential evolution to obtain the global optimal solution is very low to avoid this problem.Therefore,the algorithm adopts the mutation factor and crossover factor into dynamic adaptive functions,which makes the crossover factor and variation factor can be adjusted with the number of population iteration and individual fitness value,letting the algorithm exploration and development more reasonable.The experimental results implicate that the IADE algorithm has better performance,higher convergence and efficiency to solve the multitasking problem compared with other algorithms.展开更多
Effective constrained optimization algorithms have been proposed for engineering problems recently.It is common to consider constraint violation and optimization algorithm as two separate parts.In this study,a pbest s...Effective constrained optimization algorithms have been proposed for engineering problems recently.It is common to consider constraint violation and optimization algorithm as two separate parts.In this study,a pbest selection mechanism is proposed to integrate the current mutation strategy in constrained optimization problems.Based on the improved pbest selection method,an adaptive differential evolution approach is proposed,which helps the population jump out of the infeasible region.If all the individuals are infeasible,the top 5%of infeasible individuals are selected.In addition,a modified truncatedε-level method is proposed to avoid trapping in infeasible regions.The proposed adaptive differential evolution approach with an improvedεconstraint processmechanism(IεJADE)is examined on CEC 2006 and CEC 2010 constrained benchmark function series.Besides,a standard IEEE-30 bus test system is studied on the efficiency of the IεJADE.The numerical analysis verifies the IεJADE algorithm is effective in comparisonwith other effective algorithms.展开更多
Control parameters of original differential evolution （DE） are kept fixed throughout the entire evolutionary process. However, it is not an easy task to properly set control parameters in DE for different optiinizat...Control parameters of original differential evolution （DE） are kept fixed throughout the entire evolutionary process. However, it is not an easy task to properly set control parameters in DE for different optiinization problems. According to the relative position of two different individual vectors selected to generate a difference vector in the searching place, a self-adapting strategy for the scale factor F of the difference vector is proposed. In terms of the convergence status of the target vector in the current population, a self-adapting crossover probability constant CR strategy is proposed. Therefore, good target vectors have a lower CFI while worse target vectors have a large CFI. At the same time, the mutation operator is modified to improve the convergence speed. The performance of these proposed approaches are studied with the use of some benchmark problems and applied to the trajectory planning of a three-joint redundant manipulator. Finally, the experiment results show that the proposed approaches can greatly improve robustness and convergence speed.展开更多
It is important to harmonize effectively the behaviors of the agents in the multi-agent system (MAS) to complete the solution process. The co-evolution computing techniques, inspired by natural selection and genetics,...It is important to harmonize effectively the behaviors of the agents in the multi-agent system (MAS) to complete the solution process. The co-evolution computing techniques, inspired by natural selection and genetics, are usually used to solve these problems. Based on learning and evolution mechanisms of the biological systems, an adaptive co-evolution model was proposed in this paper. Inner-population, inter-population, and community learning operators were presented. The adaptive co-evolution algorithm (ACEA) was designed in detail. Some simulation experiments were done to evaluate the performance of the ACEA. The results show that the ACEA is more effective and feasible than the genetic algorithm to solve the optimization problems.展开更多
基金funded by the National Natural Science Foundation of China(grant no.32270238 and 31870311).
文摘Subtropical evergreen broad-leaved trees are usually vulnerable to freezing stress,while hexaploid wild Camellia oleifera shows strong freezing tolerance.As a valuable genetic resource of woody oil crop C.oleifera,wild C.oleifera can serve as a case for studying the molecular bases of adaptive evolution to freezing stress.Here,47 wild C.oleifera from 11 natural distribution sites in China and 4 relative species of C.oleifera were selected for genome sequencing.“Min Temperature of Coldest Month”(BIO6)had the highest comprehensive contribution to wild C.oleifera distribution.The population genetic structure of wild C.oleifera could be divided into two groups:in cold winter(BIO6≤0℃)and warm winter(BIO6>0℃)areas.Wild C.oleifera in cold winter areas might have experienced stronger selection pressures and population bottlenecks with lower N_(e) than those in warm winter areas.155 singlenucleotide polymorphisms(SNPs)were significantly correlated with the key bioclimatic variables(106 SNPs significantly correlated with BIO6).Twenty key SNPs and 15 key copy number variation regions(CNVRs)were found with genotype differentiation>50%between the two groups of wild C.oleifera.Key SNPs in cis-regulatory elements might affect the expression of key genes associated with freezing tolerance,and they were also found within a CNVR suggesting interactions between them.Some key CNVRs in the exon regions were closely related to the differentially expressed genes under freezing stress.The findings suggest that rich SNPs and CNVRs in polyploid trees may contribute to the adaptive evolution to freezing stress.
基金supported by the National Natural Science Foundation of China(NSFC 31900313)to X.Z.the Central guide local science and technology development funds(XZ202301YD0007C)to L.Y.+1 种基金NSFC(32471572)National Key Research and Development Program of China(2024YFC2310303)to D.L。
文摘The globin superfamily,central to oxygen(O_(2))cascade dynamics,exemplifies how canalization—evolutionary stabilization of phenotypic traits—enables vertebrates to thrive in extreme environments.In birds,hemoglobins(Hbs)serve as a paradigm of this process,with structural and functional canalization underpinning their exceptional aerobic capacity and elevational diversification.Despite significant advances of globins in our understanding of avian aerobic adaptation,a comprehensive synthesis of functional diversity,molecular evolution,and structural innovation is essential to fully elucidate their canalized roles in O_(2)homeostasis.Integrating perspectives on globin functional diversity and structural evolution,this review examines how chance(mutation/fixation biases)and contingency(historical genetic/epistatic constraints)shape Hb divergence and parallelism,thereby bridging molecular mechanisms with physiological adaptation in birds.We highlight how avian Hbs,canalized through compensatory substitutions and allosteric regulation,achieves a balance between evolutionary robustness and adaptive plasticity.However,critical gaps remain persist:the roles of understudied globins(e.g.,neuroglobin,globin E)and the mechanisms of genetic assimilation in migratory taxa.We propose an integrative framework that incorporates ecological divergence(elevation,flight endurance),phylogenetic timescales,and systems biology to unravel how canalization directs adaptive compromise.By focusing on birds within the amniotes,this synthesis advances a cohesive model for vertebrate evolution,wherein canalized globins reconcile metabolic precision with ecological innovation.Ultimately,this review refines hypotheses of O_(2)cascade evolution and calls for cross-disciplinary studies to decode the genetic and physiological architecture underlying adaptive canalization in extreme environments.
基金The National Natural Science Foundation of China(No. 61139002,61171132)the Funding of Jiangsu Innovation Program for Graduate Education (No. CXZZ11_0219 )+2 种基金the Natural Science Foundation of Jiangsu Province (No. BK2010280)the Open Project of Jiangsu Provincial Key Laboratory of Computer Information Processing Technology (No. KJS1023)the Applying Study Foundation of Nantong(No. BK2011062)
文摘Due to the fact that conventional heuristic attribute reduction algorithms are poor in running efficiency and difficult in accomplishing the co-evolutionary reduction mechanism in the decision table, an adaptive multicascade attribute reduction algorithm based on quantum-inspired mixed co-evolution is proposed. First, a novel and efficient self- adaptive quantum rotation angle strategy is designed to direct the participating populations to mutual adaptive evolution and to accelerate convergence speed. Then, a multicascade model of cooperative and competitive mixed co-evolution is adopted to decompose the evolutionary attribute species into subpopulations according to their historical performance records, which can increase the diversity of subpopulations and select some elitist individuals so as to strengthen the sharing ability of their searching experience. So the global optimization reduction set can be obtained quickly. The experimental results show that, compared with the existing algorithms, the proposed algorithm can achieve a higher performance for attribute reduction, and it can be considered as a more competitive heuristic algorithm on the efficiency and accuracy of minimum attribute reduction.
基金supported by the National Key R&D Program of China(2022YFF1000100)Shaanxi Program for Support of Top-notch Young ProfessionalsFundamental Research Funds for the Central Universities。
文摘Extreme heat and chronic water scarcity present formidable challenges to large desert-dwelling mammals.In addition to camels,antelopes within the Hippotraginae and Alcelaphinae subfamilies also exhibit remarkable physiological and genetic specializations for desert survival.Among them,the critically endangered addax(Addax nasomaculatus)represents the most desert-adapted antelope species.However,the evolutionary and molecular mechanisms underlying desert adaptations remain largely unexplored.Herein,a high-quality genome assembly of the addax was generated to investigate the molecular evolution of desert adaptation in camels and desert antelopes.Comparative genomic analyses identified 136 genes harboring convergent amino acid substitutions implicated in crucial biological processes,including water reabsorption,fat metabolism,and stress response.Notably,a convergent R146S amino acid mutation in the prostaglandin EP2 receptor gene PTGER2 significantly reduced receptor activity,potentially facilitating large-mammal adaptation to arid environments.Lineage-specific innovations were also identified in desert antelopes,including previously uncharacterized conserved non-coding elements.Functional assays revealed that several of these elements exerted significant regulatory effects in vitro,suggesting potential roles in adaptive gene expression.Additionally,signals of introgression and variation in genetic load were observed,indicating their possible influence on desert adaptation.These findings provide insights into the sequential evolutionary processes that drive physiological resilience in arid environments and highlight the importance of convergent evolution in shaping adaptive traits in large terrestrial mammals.
基金Project supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China(No.50921001)the National Program on the Key Basic Research Project of China(973 Program)(No.2010CB832700)
文摘The application of the wavelet method to vortex motion prediction is investigated. First, the wavelet method is used to solve two initial boundary problems so as to verify its abilities of controlling numerical errors and capturing local structures. Then, the adaptive wavelet method is used to simulate the vortex emerging process. The results show that the wavelet method can control numerical errors easily, can capture local structures adaptively, and can predict the vortex fluctuation evolution. Therefore, the application of the wavelet method to turbulence is suggested.
基金National Social Science Foundation of China,No.18AZD021,No.17CGL024Major Project of the Ministry of Education of China,No.19JZD014Major Science and Technology Projects in Inner Mongolia,No.ZDZX2018058。
文摘The theory on the cyclic adaptation between society and ecosystems sheds new light on the evolution and internal structure of human–environment systems.This paper introduces the risk index(RI)and adaptation capacity index(ACI)to evaluate the rural human–environment system.An evaluation index system for the adaptability of rural human–environment systems is configured in the context of climate change and policy implementation.On this basis,the stages,features,dominant control factors,and evolution mechanism were examined vis-à-vis the adaptability of the rural human–environment system in Darhan Muminggan Joint Banner from 1952 to 2017.The main results are as follows:(1)The evolution of the rural human–environment system can be divided into three stages,namely,the reorganization and rapid development stage(1952–2002)with population,cultivated land,livestock and degraded grassland increasing by 260%,13%,134%and 16.33%,respectively.The rapid to stable development stage(2003–2010)with population increasing by 2.8%;cultivated land,livestock and degraded grassland decreasing by 2.3%,13.6%and 10.7%,respectively.The stable to release stage(2011–2017)with population,cultivated land,livestock and degraded grassland decreasing by 2.6%,0.2%,10.6%and 3.8%,respectively.(2)With the passage of time,the ACI of the rural human–environment system first increased slightly(–0.016–0.031),followed by a slight decline(0.031–0.003),and culminating in a rapid increase(0.003–0.088).In terms of spatial patterns,adaptability is high in the middle,moderate in the north,and low in the south.(3)The evolution of adaptability in the rural human–environment system was mainly controlled by the per capita effective irrigation area(22.31%)and the per capita number of livestock(23.47%)from 1990 to 2000,the desertified area(25.06%)and the land use intensity(21.27%)from 2000 to 2005,and the per capita income of farmers and herdsmen(20.08%)and the per capita number of livestock(18.52%)from 2010 to 2007.(4)Under the effects of climate change and policy interventions,the cyclic adaptation of the rural human–environment system was propelled by the interactions between two kinds of subjects:farmers and herdsmen on the one hand and rural communities on the other hand.The interaction affects the adaptive behavior of the two kinds of subjects,which in turn drives the cyclic evolution of the system.As a result,the system structure and functions developed alternatively between coordinated and uncoordinated states.Small-scale adaptive behaviors of farmers and herdsmen have a profound impact on the evolution of the rural human–environment system.
基金supported by the National Natural Science Foundation of China(NSFC,Grant Nos.31370395 and 31500266)the"One Hundred Talents"project of the Chinese Academy of Sciences(Grant No.29Y127E71)
文摘In the field of phylogenetic analyses, the rbcL gene encoded large subunit Ribulose-1,5-biphosphate carboxylase/oxygenase （Rubisco, EC4.1.1.39）, which plays a crucial role in the process of photosynthesis for most terrestrial plants, has been considered to be conserved; however, recent controversy regarding rbcL conservation has appeared since it was proposed to be under natural selection within all principal lineages of land plants. In this study, by examining the variation of DNA and protein sequences among 17 species in the family Tamaricaceae, three nonsynonymous mutations were identified to be under positive selection. The favored sites were located in the alph-helix domains of Rubisco, with decreased hydrophobicity and increased entropy, which could facilitate C〇 2 penetration into the active site of Rubisco. We also found that the expression level of rbcL in different genotypes of Reaumuria soongarica shifted in response to various stresses such as drought, temperature, salt, and light. This study not only sheds light on the functional/structural features of Rubisco in the evolution scenarios from 〇 3-like into C4 in Tamaricaceae but also provides useful information on directing genetic performance to enhance photosynthesis efficiency of desert plants for sustaining fragile desert ecosystems; fur-thermore, it promotes the ability to cope with desert aridification and global warming.
基金supported by the National Natural Science Foundation of China(31470110,31970399)China National GeneBank(CNGB)。
文摘Pikas(Lagomorpha:Ochotonidae)are small mouselike lagomorphs.To investigate their adaptation to different ecological environments during their dispersal from the Qinghai-Xizang(Tibet)Plateau(QTP),we collected 226 pikas and measured 20 morphological characteristics and recorded habitat information.We also sequenced the genome of 81specimens,representing 27 putative pika species.The genome-wide tree based on 4?090 coding genes identified five subgenera,i.e.,Alienauroa,Conothoa,Lagotona,Ochotona,and Pika,consistent with morphometric data.Morphologically,Alienauroa and Ochotona had similar traits,including smaller size and earlier divergence time compared to other pikas.Consistently,the habitats of Alienauroa and Ochotona differed from those of the remaining subgenera.Phylogenetic signal analysis detected 83 genes significantly related to morphological characteristics,including several visual and hearingrelated genes.Analysis of shared amino acid substitutions and positively selected genes(PSGs)in Alienauroa and Ochotona identified two genes,i.e.,mitochondrial function-related TSFM(p.Q155E)and low-light visual sensitivity-related PROM1(p.H419Y).Functional experiments demonstrated that TSFM-155E significantly enhanced mitochondrial function compared to TSFM-155Q in other pikas,and PROM1-419Y decreased the modeling of dynamic intracellular chloride efflux upon calcium uptake.Alienauroa and Ochotona individuals mostly inhabit different environments(e.g.,subtropical forests)than other pikas,suggesting that a shift from the larger ancestral type and changes in sensory acuity and energy enhancement may have been required in their new environments.This study increases our understanding of the evolutionary history of pikas.
文摘Single unmanned aerial vehicle(UAV)multitasking plays an important role in multiple UAVs cooperative control,which is as well as the most complicated and hardest part.This paper establishes a threedimensional topographical map,and an improved adaptive differential evolution(IADE)algorithm is proposed for single UAV multitasking.As an optimized problem,the efficiency of using standard differential evolution to obtain the global optimal solution is very low to avoid this problem.Therefore,the algorithm adopts the mutation factor and crossover factor into dynamic adaptive functions,which makes the crossover factor and variation factor can be adjusted with the number of population iteration and individual fitness value,letting the algorithm exploration and development more reasonable.The experimental results implicate that the IADE algorithm has better performance,higher convergence and efficiency to solve the multitasking problem compared with other algorithms.
基金supported by National Natural Science Foundation of China under Grant Nos.52005447,72271222,71371170,71871203,L1924063Zhejiang Provincial Natural Science Foundation of China underGrant No.LQ21E050014Foundation of Zhejiang Education Committee under Grant No.Y201840056.
文摘Effective constrained optimization algorithms have been proposed for engineering problems recently.It is common to consider constraint violation and optimization algorithm as two separate parts.In this study,a pbest selection mechanism is proposed to integrate the current mutation strategy in constrained optimization problems.Based on the improved pbest selection method,an adaptive differential evolution approach is proposed,which helps the population jump out of the infeasible region.If all the individuals are infeasible,the top 5%of infeasible individuals are selected.In addition,a modified truncatedε-level method is proposed to avoid trapping in infeasible regions.The proposed adaptive differential evolution approach with an improvedεconstraint processmechanism(IεJADE)is examined on CEC 2006 and CEC 2010 constrained benchmark function series.Besides,a standard IEEE-30 bus test system is studied on the efficiency of the IεJADE.The numerical analysis verifies the IεJADE algorithm is effective in comparisonwith other effective algorithms.
基金This work was supported by the National Natural Science Foundation of China(No.60375001)the High School Doctoral Foundation of China(NO.20030532004).
文摘Control parameters of original differential evolution （DE） are kept fixed throughout the entire evolutionary process. However, it is not an easy task to properly set control parameters in DE for different optiinization problems. According to the relative position of two different individual vectors selected to generate a difference vector in the searching place, a self-adapting strategy for the scale factor F of the difference vector is proposed. In terms of the convergence status of the target vector in the current population, a self-adapting crossover probability constant CR strategy is proposed. Therefore, good target vectors have a lower CFI while worse target vectors have a large CFI. At the same time, the mutation operator is modified to improve the convergence speed. The performance of these proposed approaches are studied with the use of some benchmark problems and applied to the trajectory planning of a three-joint redundant manipulator. Finally, the experiment results show that the proposed approaches can greatly improve robustness and convergence speed.
基金Project of Shanghai Committee of Science and Technology, China ( No.08JC1400100, No. QB081404100)Leading Academic Discipline Project of Shanghai Municipal Education Commission, China (No.J51901)
文摘It is important to harmonize effectively the behaviors of the agents in the multi-agent system (MAS) to complete the solution process. The co-evolution computing techniques, inspired by natural selection and genetics, are usually used to solve these problems. Based on learning and evolution mechanisms of the biological systems, an adaptive co-evolution model was proposed in this paper. Inner-population, inter-population, and community learning operators were presented. The adaptive co-evolution algorithm (ACEA) was designed in detail. Some simulation experiments were done to evaluate the performance of the ACEA. The results show that the ACEA is more effective and feasible than the genetic algorithm to solve the optimization problems.
