Tibeto-Burman(TB)people have endeavored to adapt to the hypoxic,cold,and high-UV high-altitude environments in the Tibetan Plateau and complex disease exposures in lowland rainforests since the late Paleolithic period...Tibeto-Burman(TB)people have endeavored to adapt to the hypoxic,cold,and high-UV high-altitude environments in the Tibetan Plateau and complex disease exposures in lowland rainforests since the late Paleolithic period.However,the full landscape of genetic history and biological adaptation of geographically diverse TB-speaking people,as well as their interaction mechanism,remain unknown.Here,we generate a whole-genome meta-database of 500 individuals from 39 TB-speaking populations and present a comprehensive landscape of genetic diversity,admixture history,and differentiated adaptative features of geographically different TB-speaking people.We identify genetic differentiation related to geography and language among TB-speaking people,consistent with their differentiated admixture process with incoming or indigenous ancestral source populations.A robust genetic connection between the Tibetan-Yi corridor and the ancient Yellow River people supports their Northern China origin hypothesis.We finally report substructure-related differentiated biological adaptative signatures between highland Tibetans and Loloish speakers.Adaptative signatures associated with the physical pigmentation(EDAR and SLC24A5)and metabolism(ALDH9A1)are identified in Loloish people,which differed from the high-altitude adaptative genetic architecture in Tibetan.TB-related genomic resources provide new insights into the genetic basis of biological adaptation and better reference for the anthropologically informed sampling design in biomedical and genomic cohort research.展开更多
Complex demographic processes and natural selection pressures are critical to resolving patterns of the molecular genetic basis of adaptive traits or complex diseases.Recent ancient genome data allow us to trace how k...Complex demographic processes and natural selection pressures are critical to resolving patterns of the molecular genetic basis of adaptive traits or complex diseases.Recent ancient genome data allow us to trace how key traits evolved in different human populations over time,connecting ancient population history with disease susceptibility in western Eurasians.To fill this gap in eastern Eurasians and provide deep insights into the evolutionary history of the populationspecific genetic basis of complex biological traits,we explored the evolutionary basis of adaptive traits in one integrative modern and ancient genomic database,including 225 out of 5583 genomes first reported here.We comprehensively characterized the demographic history and biological adaptation of Han Chinese individuals on the Mongolian Plateau based on the allele frequency spectrum and haplotype-resolved fragments.We found strong genetic homogeneity among geographically different Han populations from Inner Mongolia(IMH).We reconstructed their admixture models and demographic events,revealing that IMH had a close genetic relationship with ancient millet farmers and obtained additional gene flow from Altaic-speaking populations.The enrichment of selected candidate genes suggested that essential metabolism-related genes promoted the rapid adaptation of eastern Eurasians to ancient environmental shifts and dietary changes during agricultural innovations.Evolutionary trajectory reconstruction of metabolism-related genes of methylenetetrahydrofolate reductase(MTHFR)and fatty acid desaturase 1(FADS1)suggested that ancient dietary shifts during the Neolithic transition period promoted the differentiated metabolic rate of folate and fatty acid.We revealed the polygenicity of biological adaptation traits and the pleiotropy of adaptive genes,indicating that complex recent polygenic adaptations,genetic interactions,and genotype–phenotype correlations have contributed to the genetic architecture of complex traits in eastern Eurasians.展开更多
The increasingly mature computer vision(CV)technology represented by convolutional neural networks(CNN)and available high-resolution remote sensing images(HR-RSIs)provide opportunities to accurately measure the evolut...The increasingly mature computer vision(CV)technology represented by convolutional neural networks(CNN)and available high-resolution remote sensing images(HR-RSIs)provide opportunities to accurately measure the evolution of natural and artificial environments on Earth at a large scale.Based on the advanced CNN method high-resolution net(HRNet)and multi-temporal HR-RSIs,a framework is proposed for monitoring a green evolution of courtyard buildings characterized by their courtyards being roofed(CBR).The proposed framework consists of an expert module focusing on scenes analysis,a CV module for automatic detection,an evaluation module containing thresholds,and an output module for data analysis.Based on this,the changes in the adoption of different CBR technologies(CBRTs),including light-translucent CBRTs(LT-CBRTs)and non-lighttranslucent CBRTs(NLT-CBRTs),in 24 villages in southern Hebei were identified from 2007 to 2021.The evolution of CBRTs was featured as an inverse S-curve,and differences were found in their evolution stage,adoption ratio,and development speed for different villages.LT-CBRTs are the dominant type but are being replaced and surpassed by NLT-CBRTs in some villages,characterizing different preferences for the technology type of villages.The proposed research framework provides a reference for the evolution monitoring of vernacular buildings,and the identified evolution laws enable to trace and predict the adoption of different CBRTs in a particular village.This work lays a foundation for future exploration of the occurrence and development mechanism of the CBR phenomenon and provides an important reference for the optimization and promotion of CBRTs.展开更多
Potassium metal battery is a promising alternative to Li-ion battery for large-scale energy storage due to the abundant potassium resources and high energy density.However,it suffers from rapid capacity fading and saf...Potassium metal battery is a promising alternative to Li-ion battery for large-scale energy storage due to the abundant potassium resources and high energy density.However,it suffers from rapid capacity fading and safety issues due to the uncontrolled dendrite growth.Herein,we design a fluorine-free ultra-low concentration electrolyte(ULCE)with the super bulky[BPh_(4)]^(−) anions for stable potassium metal battery.In this special electrolyte,the migration rate of K+in the electrolyte is about six times faster than that of the[BPh_(4)]^(−) anions because of the super bulky structure of the[BPh_(4)]^(−) anions,thus resulting in a high K^(+)transference number of 0.76.This high transference number can effectively make up for the deficiency of K^(+)in ULCE for ensuring the normal operation of the potassium metal battery.In addition,the improved transference number can also promote the uniform distribution of K^(+)flux on the surface of the K metal anode,resulting in uniform K deposition.As a result,this electrolyte achieves a high K plating/stripping Coulombic efficiency of 92.6%over 200 cycles and a stable discharging/charging for 100 cycles under the full battery configuration(K used as the anode and perylene-3,4,9,10-tetracarboxylic dianhydride used as the cathode).展开更多
基金the National Natural Science Foundation of China(82202078)the Center for Archaeological Science of Sichuan University(23SASA01).
文摘Tibeto-Burman(TB)people have endeavored to adapt to the hypoxic,cold,and high-UV high-altitude environments in the Tibetan Plateau and complex disease exposures in lowland rainforests since the late Paleolithic period.However,the full landscape of genetic history and biological adaptation of geographically diverse TB-speaking people,as well as their interaction mechanism,remain unknown.Here,we generate a whole-genome meta-database of 500 individuals from 39 TB-speaking populations and present a comprehensive landscape of genetic diversity,admixture history,and differentiated adaptative features of geographically different TB-speaking people.We identify genetic differentiation related to geography and language among TB-speaking people,consistent with their differentiated admixture process with incoming or indigenous ancestral source populations.A robust genetic connection between the Tibetan-Yi corridor and the ancient Yellow River people supports their Northern China origin hypothesis.We finally report substructure-related differentiated biological adaptative signatures between highland Tibetans and Loloish speakers.Adaptative signatures associated with the physical pigmentation(EDAR and SLC24A5)and metabolism(ALDH9A1)are identified in Loloish people,which differed from the high-altitude adaptative genetic architecture in Tibetan.TB-related genomic resources provide new insights into the genetic basis of biological adaptation and better reference for the anthropologically informed sampling design in biomedical and genomic cohort research.
基金We thank all the volunteers who participated in this project and the researchers who provided help and support for this project(Prof.Etienne Patin and Prof.Lluis Quintana-Murci from the Human Evolutionary Genetics Unit of the Institute PasteurProf.Mark Stoneking and Prof.Dang Liu from the Max Planck Institute for Evolutionary Anthropology+5 种基金and Prof.Wibhu Kutanan from Khon Kaen University).We are indebted to Grammarly(https://app.grammarly.com/)for its invaluable contribution to the linguistic refinement and readability enhancement of this manuscript.M.W.is supported by the National Natural Science Foundation of China(82202078)G.H.is supported by the Major Project of the National Social Science Foundation of China(23&ZD203)the Open Project of the Key Laboratory of Forensic Genetics of the Ministry of Public Security(2022FGKFKT05)the Center for Archaeological Science of Sichuan University(23SASA01)the 1.3.5 Project for Disciplines of Excellence,West China Hospital,Sichuan University(ZYJC20002)the Sichuan Science and Technology Program.L.H.is supported by the Open Project of Shanghai Key Laboratory of Forensic Medicine(KF202309).
文摘Complex demographic processes and natural selection pressures are critical to resolving patterns of the molecular genetic basis of adaptive traits or complex diseases.Recent ancient genome data allow us to trace how key traits evolved in different human populations over time,connecting ancient population history with disease susceptibility in western Eurasians.To fill this gap in eastern Eurasians and provide deep insights into the evolutionary history of the populationspecific genetic basis of complex biological traits,we explored the evolutionary basis of adaptive traits in one integrative modern and ancient genomic database,including 225 out of 5583 genomes first reported here.We comprehensively characterized the demographic history and biological adaptation of Han Chinese individuals on the Mongolian Plateau based on the allele frequency spectrum and haplotype-resolved fragments.We found strong genetic homogeneity among geographically different Han populations from Inner Mongolia(IMH).We reconstructed their admixture models and demographic events,revealing that IMH had a close genetic relationship with ancient millet farmers and obtained additional gene flow from Altaic-speaking populations.The enrichment of selected candidate genes suggested that essential metabolism-related genes promoted the rapid adaptation of eastern Eurasians to ancient environmental shifts and dietary changes during agricultural innovations.Evolutionary trajectory reconstruction of metabolism-related genes of methylenetetrahydrofolate reductase(MTHFR)and fatty acid desaturase 1(FADS1)suggested that ancient dietary shifts during the Neolithic transition period promoted the differentiated metabolic rate of folate and fatty acid.We revealed the polygenicity of biological adaptation traits and the pleiotropy of adaptive genes,indicating that complex recent polygenic adaptations,genetic interactions,and genotype–phenotype correlations have contributed to the genetic architecture of complex traits in eastern Eurasians.
基金supported by National Natural Science Foundation of China (No.52108010).
文摘The increasingly mature computer vision(CV)technology represented by convolutional neural networks(CNN)and available high-resolution remote sensing images(HR-RSIs)provide opportunities to accurately measure the evolution of natural and artificial environments on Earth at a large scale.Based on the advanced CNN method high-resolution net(HRNet)and multi-temporal HR-RSIs,a framework is proposed for monitoring a green evolution of courtyard buildings characterized by their courtyards being roofed(CBR).The proposed framework consists of an expert module focusing on scenes analysis,a CV module for automatic detection,an evaluation module containing thresholds,and an output module for data analysis.Based on this,the changes in the adoption of different CBR technologies(CBRTs),including light-translucent CBRTs(LT-CBRTs)and non-lighttranslucent CBRTs(NLT-CBRTs),in 24 villages in southern Hebei were identified from 2007 to 2021.The evolution of CBRTs was featured as an inverse S-curve,and differences were found in their evolution stage,adoption ratio,and development speed for different villages.LT-CBRTs are the dominant type but are being replaced and surpassed by NLT-CBRTs in some villages,characterizing different preferences for the technology type of villages.The proposed research framework provides a reference for the evolution monitoring of vernacular buildings,and the identified evolution laws enable to trace and predict the adoption of different CBRTs in a particular village.This work lays a foundation for future exploration of the occurrence and development mechanism of the CBR phenomenon and provides an important reference for the optimization and promotion of CBRTs.
基金supported by the National Natural Science Foundation of China(Nos.21975124 and 52173173)supported by 21C Innovation Laboratory,Contemporary Amperex Technology Ltd(No.21C-OP-202008).
文摘Potassium metal battery is a promising alternative to Li-ion battery for large-scale energy storage due to the abundant potassium resources and high energy density.However,it suffers from rapid capacity fading and safety issues due to the uncontrolled dendrite growth.Herein,we design a fluorine-free ultra-low concentration electrolyte(ULCE)with the super bulky[BPh_(4)]^(−) anions for stable potassium metal battery.In this special electrolyte,the migration rate of K+in the electrolyte is about six times faster than that of the[BPh_(4)]^(−) anions because of the super bulky structure of the[BPh_(4)]^(−) anions,thus resulting in a high K^(+)transference number of 0.76.This high transference number can effectively make up for the deficiency of K^(+)in ULCE for ensuring the normal operation of the potassium metal battery.In addition,the improved transference number can also promote the uniform distribution of K^(+)flux on the surface of the K metal anode,resulting in uniform K deposition.As a result,this electrolyte achieves a high K plating/stripping Coulombic efficiency of 92.6%over 200 cycles and a stable discharging/charging for 100 cycles under the full battery configuration(K used as the anode and perylene-3,4,9,10-tetracarboxylic dianhydride used as the cathode).
