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Pleistocene glaciation advances the cryptic speciation of Stellera chamaejasme *** a major biodiversity hotspot

Journal of Integrative Plant biology 2024年第6期66卷 1192-1205页

作者： Santosh Kumar Rana Hum Kala Rana Jacob BLandis Tianhui Kuang Juntong Chen Hengchang Wang Tao Deng Charles C.Davis Hang Sun CAS Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming 650201China Arkansas Biosciences Institute Arkansas State UniversityJonesboroArkansas 72401USA School of Integrative Plant Science Section of Plant Biology and the L.H.Bailey HortoriumCornell UniversityIthacaNew York 14853USA BTI computational biology center Boyce Thompson InstituteIthacaNew York 14853USA CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture Chinese Academy of SciencesWuhan Botanical GardenWuhan 430074China Department of Organismic and evolutionary biology HerbariaHarvard UniversityCambridgeMassachusetts 02138USA

The mountains of Southwest China comprise a significant large mountain range and biodiversity hotspot imperiled by global climate *** high species diversity in this mountain system has long been attributed to a complex set of factors,and recent large-scale macroevolutionary investigations have placed a broad timeline on plant diversification that stretches from 10 million years ago(Mya)to the *** our increasing understanding of the temporal mode of speciation,finer-scale populationlevel investigations are lacking to better refine these temporal trends and illuminate the abiotic and biotic influences of cryptic *** is largely due to the dearth of organismal sampling among closely related species and populations,spanning the incredible size and topological heterogeneity of this *** study dives into these evolutionary dynamics of speciation using genomic and ecomorphological data of Stellera chamaejasme *** identified four previously unrecognized cryptic species having indistinct morphological traits and large metapopulation of evolving lineages,suggesting a more recent diversification(~2.67-0.90 Mya),largely influenced by Pleistocene glaciation and biotic *** factors likely influenced allopatric speciation and advocated cyclical warming–cooling episodes along elevational gradients during the *** study refines the evolutionary timeline to be much younger than previously implicated and raises the concern that projected future warming may influence the alpine species diversity,necessitating increased conservation efforts.

关键词： cryptic speciation glacial-interglacial Hengduan Mountains north-south migration Stellera chamaejasme

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Performance of evolutionary optimized machine learning for modeling total organic carbon in core samples of shale gas fields

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Petroleum 2024年第1期10卷 150-164页

作者： Leonardo Goliatt C.M.Saporetti L.C.Oliveira E.Pereira Department of computational and Applied Mechanics Federal University of Juiz de Fora Department of computational Modeling Polytechnic Institute Rio de Janeiro State University Petrobras Department of Stratigraphy and Paleontology Rio de Janeiro State University

Rock samples' TOC content is the best indicator of the organic matter in source rocks. The origin rock samples' analysis is used to calculate it manually by specialists. This method requires time and resources because it relies on samples from many well intervals in source rocks. Therefore, research has been done to aid this effort. Machine learning algorithms can estimate total organic carbon instead of well logs and stratigraphic studies. In light of these efforts, the current work present a study on automating the total organic carbon estimation using machine learning approaches improved by an evolutionary methodology to give the model flexibility and precision. Genetic algorithms, differential evolution, particle swarm optimization, grey wolf optimization, artificial bee colony, and evolution strategies were used to improve machine learning models to predict TOC. The six metaheuristics were integrated into four machine learning methods: extreme learning machine, elastic net linear model, linear support vector regression, and multivariate adaptive regression splines. Core samples from the YuDong-Nan shale gas field, located in the Sichuan basin, were used to evaluate the hybrid strategy. The findings show that combining machine learning models with an evolutionary algorithms in a hybrid fashion produce flexible models that accurately predict TOC. The results show that, independent of the metaheuristic used to guide the model selection, optimized extreme learning machines attained the best performance scores according to six metrics. Such hybrid models can be used in exploratory geological research,particularly for unconventional oil and gas resources.

关键词： Total organic carbon Hybrid models Automated machine learning evolutionary algorithms Geology

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Shifts in reproductive strategies in the evolutionary trajectory of plant lineages

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Science China Life Sciences 2024年

作者： Xin-Jian Zhang Xian-Han Huang Jacob B.Landis Quan-Sheng Fu Jun-Tong Chen Peng-Rui Luo Li-Juan Li Heng-Yi Lu Hang Sun Tao Deng State Key Laboratory of Plant Diversity and Specialty Crops Kunming Institute of Botany Chinese Academy of Sciences Yunnan International Joint Laboratory for Biodiversity of Central Asia Kunming Institute of Botany Chinese Academy of Sciences University of Chinese Academy of Sciences School of Integrative Plant Science Section of Plant Biology and the L.H.Bailey Hortorium Cornell University BTI computational biology center Boyce Thompson Institute CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture Wuhan Botanical Garden Chinese Academy of Sciences

Understanding the maintenance and shift in reproductive strategies is a fundamental question in evolutionary research. Although many efforts have been made to compare different reproductive strategies, the association between reproductive strategies and lineage divergence is largely unknown. To explore the impact of different reproductive strategies on lineage divergence, we investigated the evolution of clonality in Saxifraga sect. Irregulares+Heterisia. By integrating several lines of evidence, we found that the loss of clonality in Irregulares+Heterisia was associated with a progressive increase in diversification rate and intraspecific morphological diversity but with a reduction in species distribution range. Our findings provide insights into the ecological and evolutionary effects of different reproductive strategies,suggesting the necessity of integrating clonality into ecological and evolutional research.

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PHUI-GA: GPU-based efficiency evolutionary algorithm for mining high utility itemsets

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Journal of Systems Engineering and Electronics 2024年第4期35卷 965-975页

作者： JIANG Haipeng WU Guoqing SUN Mengdan LI Feng SUN Yunfei FANG Wei Jiangsu Provincial Engineering Laboratory of Pattern Recognition and computational Intelligence Department of Computer Science and TechnologyJiangnan UniversityWuxi 214122China China Ship Scientific Research center Wuxi 214082China Taihu Laboratory of Deepsea Technological Science Wuxi 214082China Department of Mathematics Nanjing UniversityNanjing 210023China

evolutionary algorithms(EAs)have been used in high utility itemset mining(HUIM)to address the problem of discover-ing high utility itemsets(HUIs)in the exponential search *** have good running and mining performance,but they still require huge computational resource and may miss many *** to the good combination of EA and graphics processing unit(GPU),we propose a parallel genetic algorithm(GA)based on the platform of GPU for mining HUIM(PHUI-GA).The evolution steps with improvements are performed in central processing unit(CPU)and the CPU intensive steps are sent to GPU to eva-luate with multi-threaded *** show that the mining performance of PHUI-GA outperforms the existing *** mining 90%HUIs,the PHUI-GA is up to 188 times better than the existing EAs and up to 36 times better than the CPU parallel approach.

关键词： high utility itemset mining(HUIM) graphics process-ing unit(GPU)parallel genetic algorithm(GA) mining perfor-mance

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Identification of telomere maintenance gene variations related to lung adenocarcinoma risk by genome-wide association and whole genome sequencing analyses

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Cancer Communications 2024年第2期44卷 287-293页

作者： Kouya Shiraishi Atsushi Takahashi Yukihide Momozawa Yataro Daigo Syuzo Kaneko Takahisa Kawaguchi Hideo Kunitoh Shingo Matsumoto Hidehito Horinouchi Akiteru Goto Takayuki Honda Kimihiro Shimizu Masahiro Torasawa Daisuke Takayanagi Motonobu Saito Akira Saito Yuichiro Ohe Shun-ichi Watanabe Koichi Goto Masahiro Tsuboi Katsuya Tsuchihara Sadaaki Takata Tomomi Aoi Atsushi Takano Masashi Kobayashi Yohei Miyagi Kazumi Tanaka Hiroyuki Suzuki Daichi Maeda Takumi Yamaura Maiko Matsuda Yoko Shimada Takaaki Mizuno Hiromi Sakamoto Teruhiko Yoshida Yasushi Goto Tatsuya Yoshida Taiki Yamaji Makoto Sonobe Shinichi Toyooka Kazue Yoneda Katsuhiro Masago Fumihiro Tanaka Megumi Hara Nobuo Fuse Satoshi S.Nishizuka Noriko Motoi Norie Sawada Yuichiro Nishida Kazuki Kumada Kenji Takeuchi Kozo Tanno Yasushi Yatabe Kuniko Sunami Tomoyuki Hishida Yasunari Miyazaki Hidemi Ito Mitsuhiro Amemiya Hirohiko Totsuka Haruhiko Nakayama Tomoyuki Yokose Kazuyoshi Ishigaki Toshiteru Nagashima Yoichi Ohtaki Kazuhiro Imai Ken Takasawa Yoshihiro Minamiya Kazuma Kobayashi Kenichi Okubo Kenji Wakai Atsushi Shimizu Masayuki Yamamoto Motoki Iwasaki Koichi Matsuda Johji Inazawa Yuichi Shiraishi Hiroyoshi Nishikawa Yoshinori Murakami Michiaki Kubo Fumihiko Matsuda Yoichiro Kamatani Ryuji Hamamoto Keitaro Matsuo Takashi Kohno Division of Genome biology National Cancer Center Research InstituteTokyoJapan Department of Clinical Genomics National Cancer Center Research InstituteTokyoJapan Laboratory for Statistical Analysis Center for Integrative Medical SciencesRIKENYokohamaJapan Department of Genomic Medicine Research InstituteNational Cerebral and Cardiovascular CenterOsakaJapan Laboratory for Genotyping Development Center for Integrative Medical SciencesRIKENYokohamaJapan center for Antibody and Vaccine Therapy Research HospitalInstitute of Medical ScienceThe University of TokyoTokyoJapan Department of Medical Oncology and Cancer center and Center for Advanced Medicine against CancerShiga University of Medical ScienceOtsuJapan Division of Medical AI Research and Development National Cancer Center Research InstituteTokyoJapan center for Genomic Medicine Graduate School of MedicineKyoto UniversityKyotoJapan Department of Medical Oncology Japanese Red Cross Medical CenterTokyoJapan Department of Thoracic Oncology National Cancer Center Hospital EastJapan Department of Thoracic Oncology National Cancer Center HospitalTokyoJapan Department of Cellular and Organ Pathology Graduate School of MedicineAkita UniversityAkitaJapan Department of Respiratory Medicine Tokyo Medical and Dental UniversityBunkyo-kuTokyoJapan Division of General Thoracic Surgery Department of SurgeryShinshu University School of MedicineMatsumotoNaganoJapan Department of General Surgical Science Division of General Thoracic SurgeryGunma University Graduate School of MedicineIntegrative Center of General SurgeryGunma University HospitalGunmaJapan Department of Gastrointestinal Tract Surgery Fukushima Medical University School of MedicineFukushimaJapan StaGen Co. LtdTokyoJapan Division of Thoracic Surgery National Cancer Center HospitalTokyoJapan Department of Thoracic Surgery National Cancer Center Hospital EastChibaJapan Division of Translational Informatics Exploratory Oncology Research and Clinical Trial Center(EPOC

Dear editor,Lung carcinoma is responsible for the highest fatal-ity rate among cancer-related deaths globally,with lung adenocarcinoma(LADC)emerging as the prevailing sub-type.

关键词： adenocarcinoma lung Lung

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Landscape of global urban environmental resistome and its association with local socioeconomic and medical status

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Science China(Life Sciences) 2024年第6期67卷 1292-1301页

作者： Jun Wu Yige Hu Michael H Perlin David Danko Jun Lu Manuela Oliveira Johannes Werner Maria M Zambrano Maria A Sierra Olayinka O Osuolale Paweł Łabaj Nicolás Rascovan Nur Hazlin Hazrin-Chong Soojin Jang Haruo Suzuki Marina Nieto-Caballero Bharath Prithiviraj Patrick K H Lee Agnieszka Chmielarczyk Anna Różańska Yongxiang Zhao Lan Wang Christopher E Mason Tieliu Shi center for Bioinformatics and computational biology and the Institute of Biomedical SciencesSchool of Life SciencesEast China Normal UniversityShanghai 200241China Department of biology Program on Disease EvolutionUniversity of LouisvilleLouisville 40292USA Weill Cornell Medicine New York 10065USA The Bin Talal Bin Abdulaziz Alsaud Institute for computational Biomedicine New York 10065USA Department of Pulmonary Medicine Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghai 200025China i3S-Instituto de Investiga玢o e Inova玢o em Saúde Universidade do PortoPorto 4050-290Portugal Ipatimup-Instituto de Patologia e Imunologia Molecular da Universidade do Porto Porto 4200-465Portugal Departamento de Biologia Faculdade de CiênciasUniversidade do PortoPorto 4050-290Portugal High Performance and Cloud Computing Group Zentrum für Datenverarbeitung(ZDV)Eberhard Karls University of TübingenW鋍hterstra遝7672074TübingenGermany Corporación Corpogen Research center Bogotá110311Colombia Applied Environmental Metagenomics and Infectious Diseases Research(AEMIDR) Department of Biological SciencesElizade UniversityIlara-Mokin 340271Nigeria Maopolska Centre of Biotechnology Jagiellonian UniversityKraków 30-005Poland Aix-Marseille Université Mediterranean Institute of OceanologyUniversitéde ToulonCNRSIRDUM 110Marseille 83041France Department of Biological Sciences and Biotechnology Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600 UKM BangiSelangor Institut Pasteur Korea Seoul 13488Republic of Korea Faculty of Environment and Information Studies Keio UniversityFujisawaKanagawa 252-0882Japan University of Colorado at Boulder CivilEnvironmental and Architectural DepartmentBoulder 80303USA Brooklyn College of the City University of New York Brooklyn 11210USA School of Energy and Environment City University of Hong KongHong Kong 999077China Department of Microbiology Faculty of MedicineJagiellonian UniversityKraków 30-005Poland Biological Targeting Diagnosis and The

Antimicrobial resistance(AMR)poses a critical threat to global health and development,with environmental factors—particularly in urban areas—contributing significantly to the spread of antibiotic resistance genes(ARGs).However,most research to date has been conducted at a local level,leaving significant gaps in our understanding of the global status of antibiotic resistance in urban *** address this issue,we thoroughly analyzed a total of 86,213 ARGs detected within 4,728 metagenome samples,which were collected by the Meta SUB International Consortium involving diverse urban environments in 60 cities of 27 countries,utilizing a deep-learning based *** findings demonstrated the strong geographical specificity of urban environmental resistome,and their correlation with various local socioeconomic and medical *** also identified distinctive evolutionary patterns of ARG-related biosynthetic gene clusters(BGCs)across different countries,and discovered that the urban environment represents a rich source of novel *** study provides a comprehensive overview of the global urban environmental resistome,and fills a significant gap in our knowledge of large-scale urban antibiotic resistome analysis.

关键词： urban environment metagenome antibiotic resistance resistance diversity biosynthetic gene clusters

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Dragonfly Interaction Algorithm for Optimization of Queuing Delay in Industrial Wireless Networks

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Journal of Bionic Engineering 2024年第1期21卷 447-485页

作者： Sanjay Bhardwaj Da-Hye Kim Dong-Seong Kim Department of IT Convergence Engineering ICT Convergence Research CenterKumoh National Institute of TechnologyGumiSouth Korea

In industrial wireless networks,data transmitted from source to destination are highly *** often leads to the queuing of the data,and poor management of the queued data results in excessive delays,increased energy consumption,and packet ***,a nature-inspired-based Dragonfly Interaction Optimization Algorithm(DMOA)is proposed for optimization of the queue delay in industrial wireless *** term“interaction”herein used is the characterization of the“flying movement”of the dragonfly towards damselflies(female dragonflies)for *** a result,interaction is represented as the flow of transmitted data packets,or traffic,from the source to the base *** includes each and every feature of dragonfly movement as well as awareness of the rival dragonflies,predators,and damselflies for the desired optimization of the queue *** features are juxtaposed as noise and interference,which are further used in the calculation of industrial wireless metrics:latency,error rate(reliability),throughput,energy efficiency,and fairness for the optimization of the queue *** analysis,convergence analysis,the Wilcoxon test,the Friedman test,and the classical as well as the 2014 IEEE Congress of evolutionary Computation(CEC)on the benchmark functions are also used for the evaluation of DMOA in terms of its robustness and *** results demonstrate the robustness of the proposed algorithm for both classical and benchmarking functions of the IEEE CEC ***,the accuracy and efficacy of DMOA were demonstrated by means of the convergence rate,Wilcoxon testing,and ***,fairness using Jain’s index in queue delay optimization in terms of throughput and latency,along with computational complexity,is also evaluated and compared with other *** results show that DMOA exceeds other bio-inspired optimization algorithms in terms of fairness in queue delay management and average packet *** proposed a

关键词： Dragonfly Damselfly Interaction Queuing delay Optimization Industrial wireless networks

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A likely autotetraploidization event shaped the Chinese mahogany(Toona sinensis)genome

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Horticultural Plant Journal 2023年第2期9卷 306-320页

作者： Jianyu Wang Ziyi Yang Tianyu Lei Yan Zhang Qimeng Xiao Zijian Yu Jiaqi Zhang Sangrong Sun Qiang Xu Shaoqi Shen Zimo Yan Mengnan Fang Yue Ding Zihan Liu Qianwen Zhu Ke Ren Yuxin Pan Haibin Liu Jinpeng Wang School of Life Sciences Center for Genomics and Computational BiologyNorth China University of Science and TechnologyTangshanHebei 063000China State Key Laboratory of Systematic and evolutionary Botany Institute of BotanyChinese Academy of ScienceBeijing 100093China University of Chinese Academy of Sciences Beijing 100049China

Chinese mahogany(Toona sinensis) is of considerable medical and economic importance, and its genome has been deciphered. However, the process underlying its polyploidy is unclear, and the chromosomal evolutionary trajectory is poorly understood. Here, by reanalysing the *** genome, we found evidence of a tetraploidization event(T. sinensis special tetraploidization, TST) that occurred approximately 15-17 million years ago(MYA) after the core eudicot-common hexaploidization(ECH or gamma) event. We characterized the synonymous nucleotide substitution rates(Ks values) of collinear genes and found that T. sinensis genes affected by the TST evolve at a slower rate than Acer yangbiense genes. Furthermore, we identified homologous genes related to polyploidization and speciation and constructed multiple alignments with different reference genomes. Notably, the significant balance of gene retention and loss characterized in the two TST-derived subgenomes suggests an autopolyploid nature of the TST. Moreover, we deduced the chromosomal karyotypes of the two subgenomes and identified 7chromosomal fusions that have shaped the T. sinensis genome;more information is available on a newly constructed karyotype platform(http://***/Toona_sinensis/***). The T. sinensis genome preserves the ancestral chromosome structure of dicotyledons well and could serve as a good reference for understanding genomic changes in other Meliaceae and Sapindales plants. In addition, we verified that tandem duplication and the ECH have promoted the expansion of terpene synthase(TPS) genes;conversely, the TST seems to have inhibited expansion of these genes. This present effort has clarified the polyploidy events of the T. sinensis genome, filled gaps in the history of karyotype evolution, and laid a solid foundation for further genomic studies in the Meliaceae research community and beyond.

关键词： Toona sinensis Alignment Autotetraploidization Karyotype evolution Terpene synthase genes

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Two-step model of paleohexaploidy, ancestral genome reshuffling and plasticity of heat shock response in Asteraceae

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Horticulture Research 2023年第6期10卷 82-95页

作者： Xiangming Kong Yan Zhang Ziying Wang Shoutong Bao Yishan Feng Jiaqi Wang Zijian Yu Feng Long Zejia Xiao Yanan Hao Xintong Gao Yinfeng Li Yue Ding Jianyu Wang Tianyu Lei Chuanyuan Xu Jinpeng Wang Department of Bioinformatics School of Life Sciencesand Center for Genomics and Computational BiologyNorth China University of Science and TechnologyTangshanHebei 063000China State Key Laboratory of Systematic and evolutionary Botany Institute of BotanyChinese Academy of ScienceBeijing 100093China University of Chinese Academy of Sciences Beijing 100049China

An ancient hexaploidization event in the most but not all Asteraceae plants,may have been responsible for shaping the genomes of many horticultural,ornamental,and medicinal plants that promoting the prosperity of the largest angiosperm family on the ***,the duplication process of this hexaploidy,as well as the genomic and phenotypic diversity of extant Asteraceae plants caused by paleogenome reorganization,are still poorly *** analyzed 11 genomes from 10 genera in Asteraceae,and redated the Asteraceae common hexaploidization(ACH)event∼70.7–78.6 million years ago(Mya)and the Asteroideae specific tetraploidization(AST)event∼41.6–46.2 ***,we identified the genomic homologies generated from the ACH,AST and speciation events,and constructed a multiple genome alignment framework for ***,we revealed biased fractionations between the paleopolyploidization produced subgenomes,suggesting the ACH and AST both are allopolyplodization ***,the paleochromosome reshuffling traces provided clear evidence for the two-step duplications of ACH event in ***,we reconstructed ancestral Asteraceae karyotype(AAK)that has 9 paleochromosomes,and revealed a highly flexible reshuffling of Asteraceae *** specific significance,we explored the genetic diversity of Heat Shock Transcription Factors(Hsfs)associated with recursive whole-genome polyploidizations,gene duplications,and paleogenome reshuffling,and revealed that the expansion of Hsfs gene families enable heat shock plasticity during the genome evolution of *** study provides insights on polyploidy and paleogenome remodeling for the successful establishment of Asteraceae,and is helpful for further communication and exploration of the diversification of plant families and phenotypes.

关键词： shuffling shock plasticity

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An updated classification for the hyper-diverse genus Corydalis(Papaveraceae: Fumarioideae)based on phylogenomic and morphological evidence

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植物学报:英文版 2023年第9期65卷 2138-2156页

作者： Jun‐Tong Chen Magnus Lidén Xian‐Han Huang Liang Zhang Xin‐Jian Zhang Tian‐Hui Kuang Jacob BLandis Dong Wang Tao Deng Hang Sun CAS Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming 650201China University of Chinese Academy of Sciences Beijing 100049China evolutionary biology Centre Systematic BiologyUppsala UniversityUppsala 75236Sweden School of Integrative Plant Science Section of Plant Biology and the L.H.Bailey HortoriumCornell UniversityIthacaNew York 14853USA BTI computational biology center Boyce Thompson InstituteIthacaNew York 14853USA School of Life Sciences Central China Normal UniversityWuhan 430079China

The genus Corydalis, with ca. 530 species, has long been considered taxonomically challenging because of its great variability. Previous molecular analyses,based on a few molecular markers and incomplete taxonomic sampling, were clearly inadequate to delimit sections and subgenera. We have performed phylogenetic analyses of Corydalis and related taxa,using 65 shared protein-coding plastid genes from313 accessions(including 280 samples of ca. 226species of Corydalis) and 152 universal low-copy nuclear genes from 296 accessions(including 271samples of Corydalis) covering all 42 previously recognized sections and five independent “series”.Phylogenetic trees were inferred using Bayesian Inference and Maximum Likelihood. Eight selected morphological characters were estimated using ancestral state reconstructions. Results include:(i) of the three subgenera of Corydalis, two are fully supported by both the plastid and nuclear data;the third,subg. Cremnocapnos, is weakly supported by plastid DNA only, whereas in the nuclear data the two included sections form successive outgroups to the rest of the genus;(ii) among all 42 sections and five“series”, 25 sections and one “series” are resolved as monophyletic in both data sets;(iii) the common ancestor of Corydalis is likely to be a perennial plant with a taproot, yellow flowers with a short saccate spur, linear fruits with recurved fruiting pedicels, and seeds with elaiosomes;(iv) we provide a new classification of Corydalis with four subgenera(of which subg. Bipapillatae is here newly described), 39 sections, 16 of which are consistent with the previous classification, 16 sections have been recircumscribed, one section has been reinstated and six new sections are established. Characters associated with lifespan, underground structures, floral spur, fruit and elaiosomes are important for the recognition of subgenera and sections. These new phylogenetic analyses combined with ancestral character reconstructions uncovered previo

关键词： character evolution Corydalis genome skimming Papaveraceae phylogeny

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