Understanding how natural hybridization and polyploidizations originate in plants requires identifying potential diploid ancestors.However,cryptic plant species are widespread,particularly in Ceratopteris(Pteridaceae)...Understanding how natural hybridization and polyploidizations originate in plants requires identifying potential diploid ancestors.However,cryptic plant species are widespread,particularly in Ceratopteris(Pteridaceae).Identifying Ceratopteris cryptic species with different polyploidy levels is a challenge because Ceratopteris spp.exhibit high degrees of phenotypic plasticity.Here,two new cryptic species of Ceratopteris,Ceratopteris chunii and Ceratopteris chingii,are described and illustrated.Phylogenetic analyses reveal that each of the new species form a well-supported clade.C.chunii and C.chingii are similar to Ceratopteris gaudichaudii var.vulgaris and C.pteridoides,respectively,but distinct from their relatives in the stipe,basal pinna of the sterile leaf or subelliptic shape of the fertile leaf,as well as the spore surface.In addition,chromosome studies indicate that C.chunii and C.chingii are both diploid.These findings will help us further understand the origin of Ceratopteris polyploids in Asia.展开更多
Underwater scene is one of the most marvelous environments in the world. In this study, we present an efficient procedural modeling and rendering system to generate marine ecosystems for swim-through graphic applicati...Underwater scene is one of the most marvelous environments in the world. In this study, we present an efficient procedural modeling and rendering system to generate marine ecosystems for swim-through graphic applications. To produce realistic and natural underwater scenes, several techniques and algorithms have been presented and introduced. First, to distribute sealife naturally on a seabed, we employ an ecosystem simulation that considers the influence of the underwater environment. Second, we propose a two-level procedural modeling system to generate sealife with unique biological features. At the base level, a series of grammars are designed to roughly represent underwater sealife on a central processing unit(CPU). Then at the fine level, additional details of the sealife are created and rendered using graphic processing units(GPUs). Such a hybrid CPU-GPU framework best adopts sequential and parallel computation in modeling a marine ecosystem, and achieves a high level of performance.Third, the proposed system integrates dynamic simulations in the proposed procedural modeling process to support dynamic interactions between sealife and the underwater environment, where interactions and physical factors of the environment are formulated into parameters and control the geometric generation at the fine level. Results demonstrate that this system is capable of generating and rendering scenes with massive corals and sealife in real time.展开更多
基金funded by the Biodiversity Survey and Assessment Project of the Ministry of Ecology and Environment,China(2019HJ2096001006)the Shanghai Municipal Administration of Forestation and City Appearance(grant number G192421)+2 种基金the Biological Resource ProgrammeCAS(ZSZY-001-8)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA13020603)the Basic Project of Ministry of Science and Technology of China under Grant(2015FY110200).
文摘Understanding how natural hybridization and polyploidizations originate in plants requires identifying potential diploid ancestors.However,cryptic plant species are widespread,particularly in Ceratopteris(Pteridaceae).Identifying Ceratopteris cryptic species with different polyploidy levels is a challenge because Ceratopteris spp.exhibit high degrees of phenotypic plasticity.Here,two new cryptic species of Ceratopteris,Ceratopteris chunii and Ceratopteris chingii,are described and illustrated.Phylogenetic analyses reveal that each of the new species form a well-supported clade.C.chunii and C.chingii are similar to Ceratopteris gaudichaudii var.vulgaris and C.pteridoides,respectively,but distinct from their relatives in the stipe,basal pinna of the sterile leaf or subelliptic shape of the fertile leaf,as well as the spore surface.In addition,chromosome studies indicate that C.chunii and C.chingii are both diploid.These findings will help us further understand the origin of Ceratopteris polyploids in Asia.
基金Project supported by the Zhejiang Provincial Natural Science Foundation of China(No.LY13F020002)the National Natural Science Foundation of China(No.61272301)+1 种基金the National Key Technology R&D Program of China(No.2012BAH35B03)the Fundamental Research Funds for the Central Universities,China
文摘Underwater scene is one of the most marvelous environments in the world. In this study, we present an efficient procedural modeling and rendering system to generate marine ecosystems for swim-through graphic applications. To produce realistic and natural underwater scenes, several techniques and algorithms have been presented and introduced. First, to distribute sealife naturally on a seabed, we employ an ecosystem simulation that considers the influence of the underwater environment. Second, we propose a two-level procedural modeling system to generate sealife with unique biological features. At the base level, a series of grammars are designed to roughly represent underwater sealife on a central processing unit(CPU). Then at the fine level, additional details of the sealife are created and rendered using graphic processing units(GPUs). Such a hybrid CPU-GPU framework best adopts sequential and parallel computation in modeling a marine ecosystem, and achieves a high level of performance.Third, the proposed system integrates dynamic simulations in the proposed procedural modeling process to support dynamic interactions between sealife and the underwater environment, where interactions and physical factors of the environment are formulated into parameters and control the geometric generation at the fine level. Results demonstrate that this system is capable of generating and rendering scenes with massive corals and sealife in real time.