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Chen G, Yu D, Yang Y, Li X, Wang X, Sun D, Lu Y, Ke R, Zhang G, Cui J, Feng S. Adaptive expansion of ERVK solo-LTRs is associated with Passeriformes speciation events. Nat Commun 2024; 15:3151. [PMID: 38605055 PMCID: PMC11009239 DOI: 10.1038/s41467-024-47501-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 04/02/2024] [Indexed: 04/13/2024] Open
Abstract
Endogenous retroviruses (ERVs) are ancient retroviral remnants integrated in host genomes, and commonly deleted through unequal homologous recombination, leaving solitary long terminal repeats (solo-LTRs). This study, analysing the genomes of 362 bird species and their reptilian and mammalian outgroups, reveals an unusually higher level of solo-LTRs formation in birds, indicating evolutionary forces might have purged ERVs during evolution. Strikingly in the order Passeriformes, and especially the parvorder Passerida, endogenous retrovirus K (ERVK) solo-LTRs showed bursts of formation and recurrent accumulations coinciding with speciation events over past 22 million years. Moreover, our results indicate that the ongoing expansion of ERVK solo-LTRs in these bird species, marked by high transcriptional activity of ERVK retroviral genes in reproductive organs, caused variation of solo-LTRs between individual zebra finches. We experimentally demonstrated that cis-regulatory activity of recently evolved ERVK solo-LTRs may significantly increase the expression level of ITGA2 in the brain of zebra finches compared to chickens. These findings suggest that ERVK solo-LTRs expansion may introduce novel genomic sequences acting as cis-regulatory elements and contribute to adaptive evolution. Overall, our results underscore that the residual sequences of ancient retroviruses could influence the adaptive diversification of species by regulating host gene expression.
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Affiliation(s)
- Guangji Chen
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Center for Evolutionary & Organismal Biology, Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- BGI Research, Wuhan, China
| | - Dan Yu
- Center for Evolutionary & Organismal Biology, Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Center for Genomic Research, International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China
| | - Yu Yang
- School of Medicine, Huaqiao University, Xiamen, Fujian, 361021, China
| | - Xiang Li
- CAS Key Laboratory of Molecular Virology & Immunology, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China
| | - Xiaojing Wang
- CAS Key Laboratory of Molecular Virology & Immunology, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China
| | - Danyang Sun
- Center for Evolutionary & Organismal Biology, Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Center for Genomic Research, International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China
| | - Yanlin Lu
- Center for Evolutionary & Organismal Biology, Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Center for Genomic Research, International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China
| | - Rongqin Ke
- School of Medicine, Huaqiao University, Xiamen, Fujian, 361021, China
| | - Guojie Zhang
- Center for Evolutionary & Organismal Biology, Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, China
| | - Jie Cui
- Department of Infectious Diseases, National Medical Center for Infectious Diseases, Huashan Hospital, Institute of Infection and Health Research, Fudan University, Shanghai, China.
- Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, Qingdao, China.
- Shanghai Sci-Tech Inno Center for Infection & Immunity, Shanghai, 200052, China.
- Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Huashan Hospital, Fudan University, Shanghai, China.
| | - Shaohong Feng
- Center for Evolutionary & Organismal Biology, Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China.
- Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, China.
- Department of General Surgery of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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Mirarab S, Rivas-González I, Feng S, Stiller J, Fang Q, Mai U, Hickey G, Chen G, Brajuka N, Fedrigo O, Formenti G, Wolf JBW, Howe K, Antunes A, Schierup MH, Paten B, Jarvis ED, Zhang G, Braun EL. A region of suppressed recombination misleads neoavian phylogenomics. Proc Natl Acad Sci U S A 2024; 121:e2319506121. [PMID: 38557186 PMCID: PMC11009670 DOI: 10.1073/pnas.2319506121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/07/2024] [Indexed: 04/04/2024] Open
Abstract
Genomes are typically mosaics of regions with different evolutionary histories. When speciation events are closely spaced in time, recombination makes the regions sharing the same history small, and the evolutionary history changes rapidly as we move along the genome. When examining rapid radiations such as the early diversification of Neoaves 66 Mya, typically no consistent history is observed across segments exceeding kilobases of the genome. Here, we report an exception. We found that a 21-Mb region in avian genomes, mapped to chicken chromosome 4, shows an extremely strong and discordance-free signal for a history different from that of the inferred species tree. Such a strong discordance-free signal, indicative of suppressed recombination across many millions of base pairs, is not observed elsewhere in the genome for any deep avian relationships. Although long regions with suppressed recombination have been documented in recently diverged species, our results pertain to relationships dating circa 65 Mya. We provide evidence that this strong signal may be due to an ancient rearrangement that blocked recombination and remained polymorphic for several million years prior to fixation. We show that the presence of this region has misled previous phylogenomic efforts with lower taxon sampling, showing the interplay between taxon and locus sampling. We predict that similar ancient rearrangements may confound phylogenetic analyses in other clades, pointing to a need for new analytical models that incorporate the possibility of such events.
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Affiliation(s)
- Siavash Mirarab
- Electrical and Computer Engineering Department, University of California, San Diego, CA95032
| | | | - Shaohong Feng
- Center for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou310058, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou311121, China
| | - Josefin Stiller
- Section for Ecology & Evolution, Department of Biology, University of Copenhagen, København2100, Denmark
| | - Qi Fang
- BGI-Research, Shenzhen518083, China
| | - Uyen Mai
- Electrical and Computer Engineering Department, University of California, San Diego, CA95032
| | - Glenn Hickey
- Genomics Institute, University of California, Santa Cruz, CA96064
| | - Guangji Chen
- Center for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou310058, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou311121, China
| | - Nadolina Brajuka
- Vertebrate Genome Lab, Rockefeller University, New York, NY10065
| | - Olivier Fedrigo
- Vertebrate Genome Lab, Rockefeller University, New York, NY10065
| | - Giulio Formenti
- Vertebrate Genome Lab, Rockefeller University, New York, NY10065
| | - Jochen B. W. Wolf
- Division of Evolutionary Biology, Faculty of Biology, Ludwig-Maximillians-Universität, Munich82152, Germany
| | - Kerstin Howe
- Tree of Life Division, Wellcome Sanger Institute, CambridgeCB10 1RQ, United Kingdom
| | - Agostinho Antunes
- Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Porto4099-002, Portugal
- Department of Biology, Faculty of Sciences, University of Porto, Porto4099-002, Portugal
| | | | - Benedict Paten
- Genomics Institute, University of California, Santa Cruz, CA96064
| | - Erich D. Jarvis
- Vertebrate Genome Lab, Rockefeller University, New York, NY10065
| | - Guojie Zhang
- Center for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou310058, China
| | - Edward L. Braun
- Department of Biology, University of Florida, Gainesville, FL32611
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3
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Stiller J, Feng S, Chowdhury AA, Rivas-González I, Duchêne DA, Fang Q, Deng Y, Kozlov A, Stamatakis A, Claramunt S, Nguyen JMT, Ho SYW, Faircloth BC, Haag J, Houde P, Cracraft J, Balaban M, Mai U, Chen G, Gao R, Zhou C, Xie Y, Huang Z, Cao Z, Yan Z, Ogilvie HA, Nakhleh L, Lindow B, Morel B, Fjeldså J, Hosner PA, da Fonseca RR, Petersen B, Tobias JA, Székely T, Kennedy JD, Reeve AH, Liker A, Stervander M, Antunes A, Tietze DT, Bertelsen MF, Lei F, Rahbek C, Graves GR, Schierup MH, Warnow T, Braun EL, Gilbert MTP, Jarvis ED, Mirarab S, Zhang G. Complexity of avian evolution revealed by family-level genomes. Nature 2024:10.1038/s41586-024-07323-1. [PMID: 38560995 DOI: 10.1038/s41586-024-07323-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 03/15/2024] [Indexed: 04/04/2024]
Abstract
Despite tremendous efforts in the past decades, relationships among main avian lineages remain heavily debated without a clear resolution. Discrepancies have been attributed to diversity of species sampled, phylogenetic method and the choice of genomic regions1-3. Here we address these issues by analysing the genomes of 363 bird species4 (218 taxonomic families, 92% of total). Using intergenic regions and coalescent methods, we present a well-supported tree but also a marked degree of discordance. The tree confirms that Neoaves experienced rapid radiation at or near the Cretaceous-Palaeogene boundary. Sufficient loci rather than extensive taxon sampling were more effective in resolving difficult nodes. Remaining recalcitrant nodes involve species that are a challenge to model due to either extreme DNA composition, variable substitution rates, incomplete lineage sorting or complex evolutionary events such as ancient hybridization. Assessment of the effects of different genomic partitions showed high heterogeneity across the genome. We discovered sharp increases in effective population size, substitution rates and relative brain size following the Cretaceous-Palaeogene extinction event, supporting the hypothesis that emerging ecological opportunities catalysed the diversification of modern birds. The resulting phylogenetic estimate offers fresh insights into the rapid radiation of modern birds and provides a taxon-rich backbone tree for future comparative studies.
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Affiliation(s)
- Josefin Stiller
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
| | - Shaohong Feng
- Center for Evolutionary & Organismal Biology, Liangzhu Laboratory & Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, China
| | - Al-Aabid Chowdhury
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | | | - David A Duchêne
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Qi Fang
- BGI Research, Shenzhen, China
| | - Yuan Deng
- BGI Research, Shenzhen, China
- BGI Research, Wuhan, China
| | - Alexey Kozlov
- Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
| | - Alexandros Stamatakis
- Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
- Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece
- Institute for Theoretical Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Santiago Claramunt
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
- Department of Natural History, Royal Ontario Museum, Toronto, Ontario, Canada
| | - Jacqueline M T Nguyen
- College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
- Australian Museum Research Institute, Sydney, New South Wales, Australia
| | - Simon Y W Ho
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Brant C Faircloth
- Department of Biological Sciences and Museum of Natural Science, Louisiana State University, Baton Rouge, LA, USA
| | - Julia Haag
- Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
| | - Peter Houde
- Department of Biology, New Mexico State University, Las Cruces, NM, USA
| | - Joel Cracraft
- Department of Ornithology, American Museum of Natural History, New York, NY, USA
| | - Metin Balaban
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA, USA
| | - Uyen Mai
- Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Guangji Chen
- BGI Research, Wuhan, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Rongsheng Gao
- BGI Research, Wuhan, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | | | - Yulong Xie
- Center for Evolutionary & Organismal Biology, Liangzhu Laboratory & Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zijian Huang
- Center for Evolutionary & Organismal Biology, Liangzhu Laboratory & Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhen Cao
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Zhi Yan
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Huw A Ogilvie
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Luay Nakhleh
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Bent Lindow
- Natural History Museum Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Benoit Morel
- Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
- Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece
| | - Jon Fjeldså
- Natural History Museum Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Peter A Hosner
- Natural History Museum Denmark, University of Copenhagen, Copenhagen, Denmark
- Center for Global Mountain Biodiversity, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Rute R da Fonseca
- Center for Global Mountain Biodiversity, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Bent Petersen
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Centre of Excellence for Omics-Driven Computational Biodiscovery, Faculty of Applied Sciences, AIMST University, Bedong, Malaysia
| | - Joseph A Tobias
- Department of Life Sciences, Imperial College London, Silwood Park, Ascot, UK
| | - Tamás Székely
- Milner Centre for Evolution, University of Bath, Bath, UK
- ELKH-DE Reproductive Strategies Research Group, University of Debrecen, Debrecen, Hungary
| | - Jonathan David Kennedy
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Andrew Hart Reeve
- Natural History Museum Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Andras Liker
- HUN-REN-PE Evolutionary Ecology Research Group, University of Pannonia, Veszprém, Hungary
- Behavioural Ecology Research Group, Center for Natural Sciences, University of Pannonia, Veszprém, Hungary
| | | | - Agostinho Antunes
- CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Porto, Portugal
- Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal
| | | | - Mads F Bertelsen
- Centre for Zoo and Wild Animal Health, Copenhagen Zoo, Frederiksberg, Denmark
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Carsten Rahbek
- Center for Global Mountain Biodiversity, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Institute of Ecology, Peking University, Beijing, China
- Danish Institute for Advanced Study, University of Southern Denmark, Odense, Denmark
| | - Gary R Graves
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | | | - Tandy Warnow
- University of Illinois Urbana-Champaign, Champaign, IL, USA
| | - Edward L Braun
- Department of Biology, University of Florida, Gainesville, FL, USA
| | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- University Museum, NTNU, Trondheim, Norway
| | - Erich D Jarvis
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
- Howard Hughes Medical Institute, Durham, NC, USA
| | | | - Guojie Zhang
- Center for Evolutionary & Organismal Biology, Liangzhu Laboratory & Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, China.
- BGI Research, Wuhan, China.
- Villum Center for Biodiversity Genomics, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
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4
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Liu W, Zhao TT, Feng S, Ma H, Sun JC, Wei MH. [Follicular dendritic cell sarcoma of the tonsil: a case report]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2024; 59:260-262. [PMID: 38561267 DOI: 10.3760/cma.j.cn115330-20230921-00109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Affiliation(s)
- W Liu
- Department of Head and Neck Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzheng Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - T T Zhao
- Department of Head and Neck Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzheng Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - S Feng
- Department of Pathology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzheng Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - H Ma
- Department of Head and Neck Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzheng Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - J C Sun
- Department of Head and Neck Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzheng Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - M H Wei
- Department of Head and Neck Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzheng Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
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Jiang Z, Zang W, Ericson PGP, Song G, Wu S, Feng S, Drovetski SV, Liu G, Zhang D, Saitoh T, Alström P, Edwards SV, Lei F, Qu Y. Gene flow and an anomaly zone complicate phylogenomic inference in a rapidly radiated avian family (Prunellidae). BMC Biol 2024; 22:49. [PMID: 38413944 PMCID: PMC10900574 DOI: 10.1186/s12915-024-01848-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 02/15/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Resolving the phylogeny of rapidly radiating lineages presents a challenge when building the Tree of Life. An Old World avian family Prunellidae (Accentors) comprises twelve species that rapidly diversified at the Pliocene-Pleistocene boundary. RESULTS Here we investigate the phylogenetic relationships of all species of Prunellidae using a chromosome-level de novo assembly of Prunella strophiata and 36 high-coverage resequenced genomes. We use homologous alignments of thousands of exonic and intronic loci to build the coalescent and concatenated phylogenies and recover four different species trees. Topology tests show a large degree of gene tree-species tree discordance but only 40-54% of intronic gene trees and 36-75% of exonic genic trees can be explained by incomplete lineage sorting and gene tree estimation errors. Estimated branch lengths for three successive internal branches in the inferred species trees suggest the existence of an empirical anomaly zone. The most common topology recovered for species in this anomaly zone was not similar to any coalescent or concatenated inference phylogenies, suggesting presence of anomalous gene trees. However, this interpretation is complicated by the presence of gene flow because extensive introgression was detected among these species. When exploring tree topology distributions, introgression, and regional variation in recombination rate, we find that many autosomal regions contain signatures of introgression and thus may mislead phylogenetic inference. Conversely, the phylogenetic signal is concentrated to regions with low-recombination rate, such as the Z chromosome, which are also more resistant to interspecific introgression. CONCLUSIONS Collectively, our results suggest that phylogenomic inference should consider the underlying genomic architecture to maximize the consistency of phylogenomic signal.
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Affiliation(s)
- Zhiyong Jiang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Wenqing Zang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Per G P Ericson
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, PO Box 50007, Stockholm, SE-104 05, Sweden
| | - Gang Song
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Shaoyuan Wu
- Jiangsu International Joint Center of Genomics, Jiangsu Key Laboratory of Phylogenomics & Comparative Genomics, School of Life Sciences, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China
| | - Shaohong Feng
- Center for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou, 310058, China
- Liangzhu Laboratory, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, 314102, China
| | - Sergei V Drovetski
- National Museum of Natural History, Smithsonian Institution, Washington, DC, 20004, USA
- Present address: U.S. Geological Survey, Eastern Ecological Science Center at Patuxent Research Refuge, Laurel, MD, 20708, USA
| | - Gang Liu
- Chinese Academy of Forestry, Institute of Ecological Conservation and Restoration, Beijing, 100091, China
| | - Dezhi Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Takema Saitoh
- Yamashina Institute for Ornithology, Abiko, Chiba, Japan
| | - Per Alström
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18 D, 752 36, Uppsala, Sweden
| | - Scott V Edwards
- Museum of Comparative Zoology and Department of Organismic & Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA, 02138, USA
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yanhua Qu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, PO Box 50007, Stockholm, SE-104 05, Sweden.
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He ZK, Wang Z, Kao QJ, Cheng S, Feng S, Zhao TT, Tao YY, Yu XF, Sun Z. [Epidemiological characteristics of a local cluster epidemic caused by the BA.2 evolutionary branch of Omicron variant]. Zhonghua Yu Fang Yi Xue Za Zhi 2024; 58:65-70. [PMID: 38228551 DOI: 10.3760/cma.j.cn112150-20230828-00131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Descriptive epidemiological methods were used to analyze the epidemiological characteristics of the local cluster of COVID-19 in the logistic park of Yuhang District in Hangzhou in March 2022. The cluster epidemic was detected by a case who actively visited the fever clinic. The epidemic lasted for 8 days, and a total of 58 cases (53 workers, 2 students, 1 farmer, 1 teacher and 1 unemployed) were found, including 40 males and 18 females. The age was (33.29±12.22) years. There cases were mainly in Yuhang District (48 cases, 82.77%) and Shangcheng District (7 cases, 12.07%) of Hangzhou. The real-time regeneration number peaked at 2.31 on March 10th and decreased to 0.37 on March 15th. The sequencing result of the indicated case was 100% homologous with the sequence uploaded from South Korea on March 4th, 2022.
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Affiliation(s)
- Z K He
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - Z Wang
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - Q J Kao
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - S Cheng
- Microbiological Laboratory, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - S Feng
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - T T Zhao
- Institute of Health Relative Factors Monitoring, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - Y Y Tao
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - X F Yu
- Microbiological Laboratory, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - Z Sun
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
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7
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Wu F, Ji XN, Shen MX, Feng S, Xie LN, Gao YY, Li SP, Yang AY, Wang JH, Chen Q, Zhang X. [Clinical characteristics of epileptic seizure in neurofibromatosis type 1 in 15 cases]. Zhonghua Er Ke Za Zhi 2023; 61:1124-1128. [PMID: 38018050 DOI: 10.3760/cma.j.cn112140-20230829-00146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
Objective: To summarize the clinical characteristics of epileptic seizure associated with neurofibromatosis type 1 (NF1). Methods: From January 2017 to July 2023 at Children's Hospital Capital Institute of Pediatrics, medical records of patients with both NF1 and epileptic seizure were reviewed in this case series study. The clinical characteristics, treatment and prognosis were analyzed retrospectively. Results: A total of 15 patients(12 boys and 3 girls) were collected. Café-au-lait macules were observed in all 15 patients. There were 6 patients with neurodevelopmental disorders and the main manifestations were intellectual disability or developmental delay. The age at the first epileptic seizure was 2.5 (1.2, 5.5) years. There were various seizure types, including generalized tonic-clonic seizures in 8 patients, focal motor seizures in 6 patients, epileptic spasm in 4 patients, tonic seizures in 1 patient, absence in 1 patient, generalized myoclonic seizure in 1 patient and focal to bilateral tonic-clonic seizure in 1 patient. Among 14 patients whose brain magnetic resonance imaging results were available, there were abnormal signals in corpus callosum, basal ganglia, thalamus or cerebellum in 6 patients, dilated ventricles of different degrees in 3 patients, blurred gray and white matter boundary in 2 patients, agenesis of corpus callosum in 1 patient and no obvious abnormalities in the other patients. Among 13 epilepsy patients, 8 were seizure-free with 1 or 2 antiseizure medications(ASM), 1 with drug resistant epilepsy was seizure-free after left temporal lobectomy, and the other 4 patients who have received 2 to 9 ASM had persistent seizures. One patient with complex febrile convulsion achieved seizure freedom after oral administration of diazepam on demand. One patient had only 1 unprovoked epileptic seizure and did not have another seizure without taking any ASM. Conclusions: The first epileptic seizure in NF1 patients usually occurs in infancy and early childhood, with the main seizure type of generalized tonic-clonic seizure and focal motor seizure. Some patients have intellectual disability or developmental delay. Most epilepsy patients achieve seizure freedom with ASM.
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Affiliation(s)
- F Wu
- Department of Neurology, Children's Hospital Capital Institute of Pediatrics, Beijing 100020, China
| | - X N Ji
- Department of Neurology, Children's Hospital Capital Institute of Pediatrics, Beijing 100020, China
| | - M X Shen
- Department of Neurology, Children's Hospital Capital Institute of Pediatrics, Beijing 100020, China
| | - S Feng
- Department of Neurology, Children's Hospital Capital Institute of Pediatrics, Beijing 100020, China
| | - L N Xie
- Department of Neurology, Children's Hospital Capital Institute of Pediatrics, Beijing 100020, China
| | - Y Y Gao
- Department of Neurology, Children's Hospital Capital Institute of Pediatrics, Beijing 100020, China
| | - S P Li
- Department of Neurology, Children's Hospital Capital Institute of Pediatrics, Beijing 100020, China
| | - A Y Yang
- Translational Medicine Laboratory, Beijing Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing 100020, China
| | - J H Wang
- Translational Medicine Laboratory, Beijing Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing 100020, China
| | - Q Chen
- Department of Neurology, Children's Hospital Capital Institute of Pediatrics, Beijing 100020, China
| | - X Zhang
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100730, China
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8
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Femerling G, van Oosterhout C, Feng S, Bristol RM, Zhang G, Groombridge J, P Gilbert MT, Morales HE. Genetic Load and Adaptive Potential of a Recovered Avian Species that Narrowly Avoided Extinction. Mol Biol Evol 2023; 40:msad256. [PMID: 37995319 DOI: 10.1093/molbev/msad256] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 10/26/2023] [Accepted: 11/16/2023] [Indexed: 11/25/2023] Open
Abstract
High genetic diversity is a good predictor of long-term population viability, yet some species persevere despite having low genetic diversity. Here we study the genomic erosion of the Seychelles paradise flycatcher (Terpsiphone corvina), a species that narrowly avoided extinction after having declined to 28 individuals in the 1960s. The species recovered unassisted to over 250 individuals in the 1990s and was downlisted from Critically Endangered to Vulnerable in the International Union for the Conservation of Nature Red List in 2020. By comparing historical, prebottleneck (130+ years old) and modern genomes, we uncovered a 10-fold loss of genetic diversity. Highly deleterious mutations were partly purged during the bottleneck, but mildly deleterious mutations accumulated. The genome shows signs of historical inbreeding during the bottleneck in the 1960s, but low levels of recent inbreeding after demographic recovery. Computer simulations suggest that the species long-term small Ne reduced the masked genetic load and made the species more resilient to inbreeding and extinction. However, the reduction in genetic diversity due to the chronically small Ne and the severe bottleneck is likely to have reduced the species adaptive potential to face environmental change, which together with a higher load, compromises its long-term population viability. Thus, small ancestral Ne offers short-term bottleneck resilience but hampers long-term adaptability to environmental shifts. In light of rapid global rates of population decline, our work shows that species can continue to suffer the effect of their decline even after recovery, highlighting the importance of considering genomic erosion and computer modeling in conservation assessments.
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Affiliation(s)
- Georgette Femerling
- Section for Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, México
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | | | - Shaohong Feng
- Center for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, China
| | - Rachel M Bristol
- Mahe, Seychelles
- Division of Human and Social Sciences, Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, Canterbury, Kent, CT2 7NR, UK
| | - Guojie Zhang
- Center for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, China
| | - Jim Groombridge
- Division of Human and Social Sciences, Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, Canterbury, Kent, CT2 7NR, UK
| | - M Thomas P Gilbert
- Section for Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- University Museum, NTNU, Trondheim, Norway
| | - Hernán E Morales
- Section for Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, Denmark
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9
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Liu Z, Wang Q, Ma A, Feng S, Chung D, Zhao J, Ma Q, Liu B. Inference of disease-associated microbial gene modules based on metagenomic and metatranscriptomic data. Comput Biol Med 2023; 165:107458. [PMID: 37703713 DOI: 10.1016/j.compbiomed.2023.107458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 08/22/2023] [Accepted: 09/04/2023] [Indexed: 09/15/2023]
Abstract
The identification of microbial characteristics associated with diseases is crucial for disease diagnosis and therapy. However, the presence of heterogeneity, high dimensionality, and large amounts of microbial data presents tremendous challenges in discovering key microbial features. In this paper, we present IDAM, a novel computational method for inferring disease-associated gene modules from metagenomic and metatranscriptomic data. This method integrates gene context conservation (uber-operons) and regulatory mechanisms (gene co-expression patterns) within a mathematical graph model to explore gene modules associated with specific diseases. It alleviates reliance on prior meta-data. We applied IDAM to publicly available datasets from inflammatory bowel disease, melanoma, type 1 diabetes mellitus, and irritable bowel syndrome. The results demonstrated the superior performance of IDAM in inferring disease-associated characteristics compared to existing popular tools. Furthermore, we showcased the high reproducibility of the gene modules inferred by IDAM using independent cohorts with inflammatory bowel disease. We believe that IDAM can be a highly advantageous method for exploring disease-associated microbial characteristics. The source code of IDAM is freely available at https://github.com/OSU-BMBL/IDAM, and the web server can be accessed at https://bmblx.bmi.osumc.edu/idam/.
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Affiliation(s)
- Zhaoqian Liu
- School of Mathematics, Shandong University, Jinan, Shandong, 250100, China
| | - Qi Wang
- School of Mathematics, Shandong University, Jinan, Shandong, 250100, China
| | - Anjun Ma
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA
| | - Shaohong Feng
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA
| | - Dongjun Chung
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA; Pelotonia Institute for Immuno-Oncology, The Ohio State University, Columbus, OH, 43210, USA
| | - Jing Zhao
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA
| | - Qin Ma
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA; Pelotonia Institute for Immuno-Oncology, The Ohio State University, Columbus, OH, 43210, USA.
| | - Bingqiang Liu
- School of Mathematics, Shandong University, Jinan, Shandong, 250100, China; Shandong National Center for Applied Mathematics, Jinan, Shandong, 250100, China.
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10
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Shen MX, Ji XN, Wu F, Gao YY, Feng S, Xie LN, Zheng P, Mao YY, Chen Q. [A case of combined oxidative phosphorylation deficiency 32 caused by MRPS34 gene variation and literature review]. Zhonghua Er Ke Za Zhi 2023; 61:642-647. [PMID: 37385809 DOI: 10.3760/cma.j.cn112140-20230307-00165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/01/2023]
Abstract
Objective: To investigate the clinical features and genetic features of combined oxidative phosphorylation deficiency 32 (COXPD32) caused by MRPS34 gene variation. Methods: The clinical data and genetic test of a child with COXPD32 hospitalized in the Department of Neurology, Children's Hospital, Capital Institute of Pediatrics in March 2021 were extracted and analyzed. A literature search was implemented using Wanfang, China biology medicine disc, China national knowledge infrastructure, ClinVar, human gene mutation database (HGMD) and Pubmed databases with the key words "MRPS34" "MRPS34 gene" and "combined oxidative phosphorylation deficiency 32" (up to February 2023). Clinical and genetic features of COXPD32 were summarized. Results: A boy aged 1 year and 9 months was admitted due to developmental delay. He showed mental and motor retardation, and was below the 3rd percentile for height, weight, and head circumference of children of the same age and gender. He had poor eye contact, esotropia, flat nasal bridge, limbs hypotonia, holding instability and tremors. In addition, Grade Ⅲ/6 systolic murmur were heard at left sternal border. Arterial blood gases suggested that severe metabolic acidosis with lactic acidosis. Brain magnetic resonance imaging (MRI) showed multiple symmetrical abnormal signals in the bilateral thalamus, midbrain, pons and medulla oblongata. Echocardiography showed atrial septal defect. Genetic testing identified the patient as a compound heterozygous variation of MRPS34 gene, c.580C>T (p.Gln194Ter) and c.94C>T (p.Gln32Ter), with c.580C>T being the first report and a diagnosis of COXPD32. His parents carried a heterozygous variant, respectively. The child improved after treatment with energy support, acidosis correction, and "cocktail" therapy (vitaminB1, vitaminB2, vitaminB6, vitaminC and coenzyme Q10). A total of 8 cases with COXPD32 were collected through 2 English literature reviews and this study. Among the 8 patients, 7 cases had onset during infancy and 1 was unknown, all had developmental delay or regression, 7 cases had feeding difficulty or dysphagia, followed by dystonia, lactic acidosis, ocular symptoms, microcephaly, constipation and dysmorphic facies(mild coarsening of facial features, small forehead, anterior hairline extending onto forehead,high and narrow palate, thick gums, short columella, and synophrys), 2 cases died of respiratory and circulatory failure, and 6 were still alive at the time of reporting, with an age range of 2 to 34 years. Blood and (or) cerebrospinal fluid lactate were elevated in all 8 patients. MRI in 7 cases manifested symmetrical abnormal signals in the brainstem, thalamus, and (or) basal ganglia. Urine organic acid test were all normal but 1 patient had alanine elevation. Five patients underwent respiratory chain enzyme activity testing, and all had varying degrees of enzyme activity reduction. Six variants were identified, 6 patients were homozygous variants, with c.322-10G>A was present in 4 patients from 2 families and 2 compound heterozygous variants. Conclusions: The clinical phenotype of COXPD32 is highly heterogenous and the severity of the disease varies from development delay, feeding difficulty, dystonia, high lactic acid, ocular symptoms and reduced mitochondrial respiratory chain enzyme activity in mild cases, which may survive into adulthood, to rapid death due to respiratory and circulatory failure in severe cases. COXPD32 needs to be considered in cases of unexplained acidosis, hyperlactatemia, feeding difficulties, development delay or regression, ocular symptoms, respiratory and circulatory failure, and symmetrical abnormal signals in the brainstem, thalamus, and (or) basal ganglia, and genetic testing can clarify the diagnosis.
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Affiliation(s)
- M X Shen
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - X N Ji
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - F Wu
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - Y Y Gao
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - S Feng
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - L N Xie
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - P Zheng
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - Y Y Mao
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - Q Chen
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
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11
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Bi X, Zhou L, Zhang JJ, Feng S, Hu M, Cooper DN, Lin J, Li J, Wu DD, Zhang G. Lineage-specific accelerated sequences underlying primate evolution. Sci Adv 2023; 9:eadc9507. [PMID: 37262186 PMCID: PMC10413682 DOI: 10.1126/sciadv.adc9507] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 05/05/2023] [Indexed: 06/03/2023]
Abstract
Understanding the mechanisms underlying phenotypic innovation is a key goal of comparative genomic studies. Here, we investigated the evolutionary landscape of lineage-specific accelerated regions (LinARs) across 49 primate species. Genomic comparison with dense taxa sampling of primate species significantly improved LinAR detection accuracy and revealed many novel human LinARs associated with brain development or disease. Our study also yielded detailed maps of LinARs in other primate lineages that may have influenced lineage-specific phenotypic innovation and adaptation. Functional experimentation identified gibbon LinARs, which could have participated in the developmental regulation of their unique limb structures, whereas some LinARs in the Colobinae were associated with metabolite detoxification which may have been adaptive in relation to their leaf-eating diet. Overall, our study broadens knowledge of the functional roles of LinARs in primate evolution.
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Affiliation(s)
- Xupeng Bi
- Centre for Evolutionary & Organismal Biology, and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Long Zhou
- Centre for Evolutionary & Organismal Biology, and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jin-Jin Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Shaohong Feng
- Centre for Evolutionary & Organismal Biology, and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
- Liangzhu Laboratory, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou 311121, China
| | - Mei Hu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - David N. Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff CF14 4XN, UK
| | - Jiangwei Lin
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Jiali Li
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 32 Jiaochang Donglu, Kunming 650223, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650107, China
| | - Guojie Zhang
- Centre for Evolutionary & Organismal Biology, and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Liangzhu Laboratory, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou 311121, China
- Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
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12
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Germain RR, Feng S, Chen G, Graves GR, Tobias JA, Rahbek C, Lei F, Fjeldså J, Hosner PA, Gilbert MTP, Zhang G, Nogués-Bravo D. Species-specific traits mediate avian demographic responses under past climate change. Nat Ecol Evol 2023:10.1038/s41559-023-02055-3. [PMID: 37106156 DOI: 10.1038/s41559-023-02055-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 03/30/2023] [Indexed: 04/29/2023]
Abstract
Anticipating species' responses to environmental change is a pressing mission in biodiversity conservation. Despite decades of research investigating how climate change may affect population sizes, historical context is lacking, and the traits that mediate demographic sensitivity to changing climate remain elusive. We use whole-genome sequence data to reconstruct the demographic histories of 263 bird species over the past million years and identify networks of interacting morphological and life history traits associated with changes in effective population size (Ne) in response to climate warming and cooling. Our results identify direct and indirect effects of key traits representing dispersal, reproduction and survival on long-term demographic responses to climate change, thereby highlighting traits most likely to influence population responses to ongoing climate warming.
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Affiliation(s)
- Ryan R Germain
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark.
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
| | - Shaohong Feng
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Department of General Surgery of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Hangzhou, China
| | - Guangji Chen
- BGI Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Gary R Graves
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - Joseph A Tobias
- Department of Life Sciences, Imperial College London, Ascot, UK
| | - Carsten Rahbek
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Life Sciences, Imperial College London, Ascot, UK
- Center for Global Mountain Biodiversity, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Danish Institute for Advanced Study, University of Southern Denmark, Odense, Denmark
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jon Fjeldså
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Peter A Hosner
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Global Mountain Biodiversity, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Natural History, University Museum, Norwegian University of Science and Technology, Trondheim, Norway
| | - Guojie Zhang
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China.
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China.
- Innovation Center of Yangtze River Delta, Zhejiang University, Hangzhou, China.
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
| | - David Nogués-Bravo
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark.
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13
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Lin T, Peng S, Lu S, Fu S, Zeng D, Li J, Chen T, Fan T, Lang C, Feng S, Ma J, Zhao C, Antony B, Cicuttini F, Quan X, Zhu Z, Ding C. Prediction of knee pain improvement over two years for knee osteoarthritis using a dynamic nomogram based on MRI-derived radiomics: a proof-of-concept study. Osteoarthritis Cartilage 2023; 31:267-278. [PMID: 36334697 DOI: 10.1016/j.joca.2022.10.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 09/26/2022] [Accepted: 10/19/2022] [Indexed: 11/05/2022]
Abstract
OBJECTIVES To develop and validate a nomogram to detect improved knee pain in osteoarthritis (OA) by integrating magnetic resonance imaging (MRI) radiomics signature of subchondral bone and clinical characteristics. METHODS Participants were selected from the Vitamin D Effects on Osteoarthritis (VIDEO) study. The primary outcome was 20% improvement of knee pain score over 2 years in participants administrated either vitamin D or placebo. Radiomics features of subchondral bone and clinical characteristics from 216 participants were extracted and analyzed. The participants were randomly split into the training and validation cohorts at a ratio of 8:2. Least absolute shrinkage and selection operator (LASSO) regression was used to select features and generate radiomics signatures. The optimal radiomics signature and clinical indicators were fitted into a nomogram using multivariable logistic regression model. RESULTS The nomogram showed favorable discrimination performance [AUCtraining, 0.79 (95% CI: 0.72-0.79), AUCvalidation, 0.83 (95% CI: 0.70-0.96)] as well as a good calibration. Additional contributing value of fusion radiomics signature to the nomogram was statistically significant (NRI, 0.23; IDI, 0.14, P < 0.001 in training cohort and NRI, 0.29; IDI, 0.18, P < 0.05 in validating cohort). Decision curve analysis confirmed the clinical usefulness of nomogram. CONCLUSION The radiomics-based nomogram comprising the MR radiomics signature and clinical variables achieves a favorable predictive efficacy and accuracy in differentiating improvement in knee pain among OA patients. This proof-of-concept study provides a promising way to predict clinically meaningful outcomes.
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Affiliation(s)
- T Lin
- Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - S Peng
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.
| | - S Lu
- Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - S Fu
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.
| | - D Zeng
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.
| | - J Li
- Division of Orthopaedic Surgery, Department of Orthopaedics, Nanfang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - T Chen
- Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - T Fan
- Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - C Lang
- Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - S Feng
- Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, 999077, Hong Kong, China.
| | - J Ma
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.
| | - C Zhao
- Philips China, Beijing, 100000, China.
| | - B Antony
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, 7000, Australia.
| | - F Cicuttini
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, 3800, Australia.
| | - X Quan
- Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - Z Zhu
- Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - C Ding
- Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China; Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, 7000, Australia.
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14
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Wanders K, Chen G, Feng S, Zhang G, Székely T, Bruford M, Végvári Z, Eichhorn G, Urrutia A. Polygamy and purifying selection in birds. Evolution 2023; 77:276-288. [PMID: 36625454 DOI: 10.1093/evolut/qpac010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 09/05/2022] [Accepted: 10/29/2022] [Indexed: 01/11/2023]
Abstract
Good genes theories of sexual selection predict that polygamy will be associated with more efficient removal of deleterious alleles (purifying selection), due to the alignment of sexual selection with natural selection. On the other hand, runaway selection theories expect no such alignment of natural and sexual selection, and may instead predict less efficient purifying selection in polygamous species due to higher reproductive variance. In an analysis of polymorphism data extracted from 150-bird genome assemblies, we show that polygamous species carry significantly fewer nonsynonymous polymorphisms, relative to synonymous polymorphisms, than monogamous bird species (p = .0005). We also show that this effect is independent of effective population size, consistent with the alignment of natural selection with sexual selection and "good genes" theories of sexual selection. Further analyses found no impact of polygamy on genetic diversity, while polygamy in females (polyandry) had a marginally significant impact (p = .045). We also recapitulate previous findings that smaller body mass and greater geographic range size are associated with more efficient purifying selection, more intense GC-biased gene conversion, and greater genetic diversity.
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Affiliation(s)
- Kees Wanders
- Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
| | - Guangji Chen
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.,BGI-Shenzhen, Shenzhen, China
| | - Shaohong Feng
- Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China.,Evolutionary & Organismal Biology Research Center, Zhejiang University School of Medicine, Hangzhou, China
| | - Guojie Zhang
- Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China.,Evolutionary & Organismal Biology Research Center, Zhejiang University School of Medicine, Hangzhou, China
| | - Tamás Székely
- Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.,Department of Evolutionary Zoology and Human Biology, University of Debrecen, Debrecen, Hungary
| | - Mike Bruford
- School of Biosciences and Sustainable Places Institute, Cardiff University, Cardiff, United Kingdom
| | - Zsolt Végvári
- Centre for Ecological Research, Eötvös Loránd Research Network, Institute of Aquatic Ecology, Budapest, Hungary.,Senckenberg Deutsches Entomologisches Institut, Müncheberg, Germany
| | - Götz Eichhorn
- Vogeltrekstation-Dutch Centre for Avian Migration and Demography, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, Netherlands
| | - Araxi Urrutia
- Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.,Instituto de Ecologia, UNAM, Ciudad de Mexico, Mexico
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15
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Li X, Gao R, Chen G, Price AL, Øksnebjerg DB, Hosner PA, Zhou Y, Zhang G, Feng S. Draft genome assemblies of four manakins. Sci Data 2022; 9:564. [PMID: 36100590 PMCID: PMC9470731 DOI: 10.1038/s41597-022-01680-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 09/04/2022] [Indexed: 11/23/2022] Open
Abstract
Manakins are a family of small suboscine passerine birds characterized by their elaborate courtship displays, non-monogamous mating system, and sexual dimorphism. This family has served as a good model for the study of sexual selection. Here we present genome assemblies of four manakin species, including Cryptopipo holochlora, Dixiphia pipra (also known as Pseudopipra pipra), Machaeropterus deliciosus and Masius chrysopterus, generated by Single-tube Long Fragment Read (stLFR) technology. The assembled genome sizes ranged from 1.10 Gb to 1.19 Gb, with average scaffold N50 of 29 Mb and contig N50 of 169 Kb. On average, 12,055 protein-coding genes were annotated in the genomes, and 9.79% of the genomes were annotated as repetitive elements. We further identified 75 Mb of Z-linked sequences in manakins, containing 585 to 751 genes and an ~600 Kb pseudoautosomal region (PAR). One notable finding from these Z-linked sequences is that a possible Z-to-autosome/PAR reversal could have occurred in M. chrysopterus. These de novo genomes will contribute to a deeper understanding of evolutionary history and sexual selection in manakins. Measurement(s) | whole genome sequencing | Technology Type(s) | BGISEQ-500 Sequencing | Sample Characteristic - Organism | Pipridae |
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Affiliation(s)
- Xuemei Li
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.,BGI-Shenzhen, Shenzhen, 518083, China
| | - Rongsheng Gao
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.,BGI-Shenzhen, Shenzhen, 518083, China
| | - Guangji Chen
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.,BGI-Shenzhen, Shenzhen, 518083, China
| | - Alivia Lee Price
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200, Copenhagen, Denmark
| | - Daniel Bilyeli Øksnebjerg
- GLOBE Institute, Section for Evolutionary Genomics, University of Copenhagen, Copenhagen, Øster Farimagsgade 5, 1014, Copenhagen, Denmark
| | - Peter Andrew Hosner
- Natural History Museum of Denmark, University of Copenhagen, Universitetsparken 15, 2100, Copenhagen, Denmark.,Villum Center for Global Mountain Biodiversity, Biodiversity Section, GLOBE Institute, University of Copenhagen, Universitetsparken 15, 2100, Copenhagen, Denmark
| | - Yang Zhou
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Guojie Zhang
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200, Copenhagen, Denmark.,Evolutionary & Organismal Biology Research Center, Zhejiang University School of Medicine, Hangzhou, 310058, China.,Liangzhu Laboratory, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou, 311121, China.,Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, 314102, China
| | - Shaohong Feng
- Evolutionary & Organismal Biology Research Center, Zhejiang University School of Medicine, Hangzhou, 310058, China. .,Liangzhu Laboratory, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou, 311121, China. .,Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, 314102, China.
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16
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Ji Y, Feng S, Wu L, Fang Q, Brüniche-Olsen A, DeWoody JA, Cheng Y, Zhang D, Hao Y, Song G, Qu Y, Suh A, Zhang G, Hackett SJ, Lei F. Orthologous microsatellites, transposable elements, and DNA deletions correlate with generation time and body mass in neoavian birds. Sci Adv 2022; 8:eabo0099. [PMID: 36044583 PMCID: PMC9432842 DOI: 10.1126/sciadv.abo0099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
The rate of mutation accumulation in germline cells can be affected by cell replication and/or DNA damage, which are further related to life history traits such as generation time and body mass. Leveraging the existing datasets of 233 neoavian bird species, here, we investigated whether generation time and body mass contribute to the interspecific variation of orthologous microsatellite length, transposable element (TE) length, and deletion length and how these genomic attributes affect genome sizes. In nonpasserines, we found that generation time is correlated to both orthologous microsatellite length and TE length, and body mass is negatively correlated to DNA deletions. These patterns are less pronounced in passerines. In all species, we found that DNA deletions relate to genome size similarly as TE length, suggesting a role of body mass dynamics in genome evolution. Our results indicate that generation time and body mass shape the evolution of genomic attributes in neoavian birds.
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Affiliation(s)
- Yanzhu Ji
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Negaunee Integrative Research Center, Field Museum of Natural History, Chicago, IL 60605, USA
| | - Shaohong Feng
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing 314100, China
- Evolutionary and Organismal Biology Research Center, Zhejiang University School of Medicine, Hangzhou, China
| | - Lei Wu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Qi Fang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen DK-2200, Denmark
| | - Anna Brüniche-Olsen
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen DK-2200, Denmark
| | - J. Andrew DeWoody
- Departments of Forestry and Natural Resources and Biological Sciences, Purdue University, West Lafayette, IN 47906, USA
| | - Yalin Cheng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Dezhi Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yan Hao
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Gang Song
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yanhua Qu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Alexander Suh
- School of Biological Sciences, Organism and Environment, University of East Anglia, NR4 7TU, Norwich, UK
- Department of Organismal Biology, Systematic Biology, Evolutionary Biology Centre (EBC), Science for Life Laboratory, Uppsala University, Uppsala SE-752 36, Sweden
| | - Guojie Zhang
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing 314100, China
- Evolutionary and Organismal Biology Research Center, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou 311121, China
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen DK-2200, Denmark
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Women’s Hospital, School of Medicine, Zhejiang University, Shangcheng District, Hangzhou, 310006, China
| | - Shannon J. Hackett
- Negaunee Integrative Research Center, Field Museum of Natural History, Chicago, IL 60605, USA
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China
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17
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Jindal T, Han H, Deshmukh P, De Kouchkovsky I, Kwon D, Borno H, Koshkin V, Desai A, Bose R, Chou J, Friedlander T, Small E, Angelidakis A, Johnson M, Feng S, Patnaik A, Fong L, Alumkal J, Aggarwal R. 1404P A phase II study of ZEN-3694 (ZEN), enzalutamide (ENZ), and pembrolizumab (P) in metastatic castration resistant prostate cancer (mCRPC): Interim safety results. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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18
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Aggarwal R, Trihy L, Hernandez Romero E, Luch Sam S, Rastogi M, De Kouchkovsky I, Small E, Feng F, Kwon D, Friedlander T, Borno H, Bose R, Chou J, Koshkin V, Desai A, Feng S, Angelidakis A, Johnson M, Fong L, Hope T. 1379P A phase Ib study of a single priming dose of 177Lu-PSMA-617 coupled with pembrolizumab in metastatic castration resistant prostate cancer (mCRPC). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1511] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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19
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Klotz S, Baptiste B, Hattori T, Feng S, Jin C, Béneut K, Guigner J, Estève I. High-pressure polymerisation of CS 2: 'Bridgman's black' revisited. Acta Cryst Sect A 2022. [DOI: 10.1107/s2053273322091161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2023]
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20
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Haeusler IL, Daniel O, Isitt C, Watts R, Cantrell L, Feng S, Cochet M, Salloum M, Ikram S, Hayter E, Lim S, Hall T, Athaide S, Cosgrove CA, Tregoning JS, Le Doare K. Group B Streptococcus (GBS) colonisation is dynamic over time, whilst GBS capsular polysaccharides-specific antibody remains stable. Clin Exp Immunol 2022; 209:188-200. [PMID: 35802786 PMCID: PMC9390841 DOI: 10.1093/cei/uxac066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/08/2022] [Accepted: 06/27/2022] [Indexed: 11/20/2022] Open
Abstract
Group B Streptococcus (GBS) is a leading cause of adverse pregnancy outcomes due to invasive infection. This study investigated longitudinal variation in GBS rectovaginal colonization, serum and vaginal GBS capsular polysaccharide (CPS)-specific antibody levels. Non-pregnant women were recruited in the UK and were sampled every 2 weeks over a 12-week period. GBS isolates were taken from recto-vaginal swabs and serotyped by polymerase chain reaction. Serum and vaginal immunoglobulin G (IgG) and nasal immunoglobulin A (IgA) specific to CPS were measured by Luminex, and total IgG/A by ELISA. Seventy women were enrolled, of median age 26. Out of the 66 participants who completed at least three visits: 14/47 (29.8%) women that were GBS negative at screening became positive in follow-up visits and 16/19 (84.2%) women who were GBS positive at screening became negative. There was 50% probability of becoming negative 36 days after the first positive swab. The rate of detectable GBS carriage fluctuated over time, although serum, vaginal, and nasal CPS-specific antibody levels remained constant. Levels of CPS-specific antibodies were higher in the serum of individuals colonized with GBS than in non-colonized, but similar in the vaginal and nasal mucosa. We found correlations between antibody levels in serum and the vaginal and nasal mucosa. Our study demonstrates the feasibility of elution methods to retrieve vaginal and nasal antibodies, and the optimization of immunoassays to measure GBS-CPS-specific antibodies. The difference between the dynamics of colonization and antibody response is interesting and further investigation is required for vaccine development.
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Affiliation(s)
- I L Haeusler
- St George's University of London, Paediatric Infectious Diseases Research Group, London, United Kingdom
| | - O Daniel
- St George's University of London, Paediatric Infectious Diseases Research Group, London, United Kingdom
| | - C Isitt
- St George's University of London, The Vaccine Institute, London, United Kingdom
| | - R Watts
- St George's University of London, Paediatric Infectious Diseases Research Group, London, United Kingdom
| | - L Cantrell
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford
| | - S Feng
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford
| | - M Cochet
- St George's University of London, Paediatric Infectious Diseases Research Group, London, United Kingdom
| | - M Salloum
- St George's University of London, Paediatric Infectious Diseases Research Group, London, United Kingdom.,UnivLyon, Claude Bernard University Lyon I, France
| | - S Ikram
- St George's University of London, The Vaccine Institute, London, United Kingdom
| | - E Hayter
- St George's University of London, The Vaccine Institute, London, United Kingdom
| | - S Lim
- St George's University of London, Paediatric Infectious Diseases Research Group, London, United Kingdom
| | - T Hall
- St George's University of London, Paediatric Infectious Diseases Research Group, London, United Kingdom
| | - S Athaide
- St George's University of London, The Vaccine Institute, London, United Kingdom
| | - C A Cosgrove
- St George's University of London, The Vaccine Institute, London, United Kingdom
| | - J S Tregoning
- Imperial College London, Department of Infectious Disease, London, United Kingdom
| | - K Le Doare
- St George's University of London, Paediatric Infectious Diseases Research Group, London, United Kingdom.,Makerere University John Hopkins Research Collaboration, Kampala, Uganda.,Pathogen Immunology Group, United Kingdom Health Security Agency, Porton Down, United Kingdom
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21
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Liang Y, Feng S, Xie W, Jiang Q, Yang Y, Luo R, Kidd E, Zhai T, Xie L. MO-0887 Clinical value of ITV delineation method in cervical cancer patients receiving chemoradiotherapy. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02453-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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22
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Zhan LT, Ni JQ, Feng S, Kong LG, Feng T. Saturated hydraulic conductivity of compacted steel slag-bentonite mixtures--A potential hydraulic barrier material of landfill cover. Waste Manag 2022; 144:349-356. [PMID: 35436714 DOI: 10.1016/j.wasman.2022.04.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 03/22/2022] [Accepted: 04/05/2022] [Indexed: 06/14/2023]
Abstract
The feasibility of using steel slag and bentonite mixtures to construct the hydraulic barrier of a landfill cover was explored in the present study. Fine-grained steel slag (SS; particle diameter < 1 mm) and sodium-activated calcium bentonite (SACB) were used to prepare compacted specimens, and the saturated hydraulic conductivity (ks) was measured using a flexible-wall permeameter. Influential factors including SACB content (BC), SS gradation, water-washing treatment of SS and compaction water content (ωcomp) were investigated. The hydraulic conductivity results were interpreted in microscopic scale through mercury intrusion porosimetry (MIP) and scanning electron microscope (SEM). It was found that when BC was below 10%, the ks value of the specimens prepared with well graded SS was about one order of magnitude lower than that of the specimens prepared with poorly graded SS. This was due to less macropores caused by better SS gradation. Yet, the effects of SS gradation on ks diminished as BC further increased to 15%, suggesting the dominant role of BC on ks at high BC. Water-washing treatment of SS helped reduce ks significantly to 1.2 × 10-10 m/s at BC of 10%, owing to less multivalent cations and hence lower osmotic swelling reduction caused by cations. Controlling ωcomp 1-2% wetter than the optimum water content (ωopt) also helped reduce ks significantly, owing to the reduction of macropores. Accordingly, it is suggested to use well-graded SS mixed with 10% SACB and then compact at ωcomp slightly wetter than ωopt to the degree of compaction greater than 90% in engineering practice.
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Affiliation(s)
- L T Zhan
- MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Department of Civil Engineering, Zhejiang University, China.
| | - J Q Ni
- MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Department of Civil Engineering, Zhejiang University, China.
| | - S Feng
- MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Department of Civil Engineering, Zhejiang University, China; College of Civil Engineering, Fuzhou University, China.
| | - L G Kong
- MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Department of Civil Engineering, Zhejiang University, China.
| | - T Feng
- MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Department of Civil Engineering, Zhejiang University, China.
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23
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Feng S, Brouwer C, Korevaar E, Vapiwala N, Wang K, Deville C, Langendijk J, Both S, Aluwini S. PO-1500 Robustness evaluation of ultra hypo-fractionated IMPT for PCa on target and OAR dose-constraints. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)03464-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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24
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Feng S, Bai M, Rivas-González I, Li C, Liu S, Tong Y, Yang H, Chen G, Xie D, Sears KE, Franco LM, Gaitan-Espitia JD, Nespolo RF, Johnson WE, Yang H, Brandies PA, Hogg CJ, Belov K, Renfree MB, Helgen KM, Boomsma JJ, Schierup MH, Zhang G. Incomplete lineage sorting and phenotypic evolution in marsupials. Cell 2022; 185:1646-1660.e18. [PMID: 35447073 PMCID: PMC9200472 DOI: 10.1016/j.cell.2022.03.034] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 12/22/2021] [Accepted: 03/21/2022] [Indexed: 12/19/2022]
Abstract
Incomplete lineage sorting (ILS) makes ancestral genetic polymorphisms persist during rapid speciation events, inducing incongruences between gene trees and species trees. ILS has complicated phylogenetic inference in many lineages, including hominids. However, we lack empirical evidence that ILS leads to incongruent phenotypic variation. Here, we performed phylogenomic analyses to show that the South American monito del monte is the sister lineage of all Australian marsupials, although over 31% of its genome is closer to the Diprotodontia than to other Australian groups due to ILS during ancient radiation. Pervasive conflicting phylogenetic signals across the whole genome are consistent with some of the morphological variation among extant marsupials. We detected hundreds of genes that experienced stochastic fixation during ILS, encoding the same amino acids in non-sister species. Using functional experiments, we confirm how ILS may have directly contributed to hemiplasy in morphological traits that were established during rapid marsupial speciation ca. 60 mya.
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Affiliation(s)
- Shaohong Feng
- BGI-Shenzhen, Shenzhen 518083, China; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Ming Bai
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; School of Agriculture, Ningxia University, Yinchuan 750021, China; College of Plant Protection, Hebei Agricultural University, Baoding 071001, China
| | | | - Cai Li
- School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | | | - Yijie Tong
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, Hebei 071001, China; Hainan Yazhou Bay Seed Lab, Building 1, No. 7 Yiju Road, Yazhou District, Sanya, Hainan 572024, China
| | - Haidong Yang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China
| | - Guangji Chen
- BGI-Shenzhen, Shenzhen 518083, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Duo Xie
- Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Karen E Sears
- Department of Ecology and Evolutionary Biology, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Lida M Franco
- Facultad de Ciencias Naturales y Matemáticas, Universidad de Ibagué, Carrera 22 Calle 67, Ibagué, Colombia
| | - Juan Diego Gaitan-Espitia
- The Swire Institute of Marine Science and School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Roberto F Nespolo
- Instituto de Ciencias Ambientales y Evolutivas, Facultad de Ciencias, Universidad Austral de Chile, Campus Isla Teja, Valdivia 5090000, Chile; Center of Applied Ecology and Sustainability (CAPES), Facultad de Ciencias Biológicas, Universidad Católica de Chile, Santiago 6513677, Chile; Millenium Institute for Integrative Biology (iBio), Santiago, Chile; Millennium Nucleus of Patagonian Limit of Life (LiLi), Valdivia, Chile
| | - Warren E Johnson
- Center for Species Survival, Smithsonian Conservation Biology Institute, National Zoological Park, 1500 Remont Road, Front Royal, VA 22630, USA; The Walter Reed Biosystematics Unit, Museum Support Center MRC-534, Smithsonian Institution, 4210 Silver Hill Rd., Suitland, MD 20746-2863, USA; Walter Reed Army Institute of Research, 503 Robert Grant Avenue, Silver Spring, MD 20910, USA
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen 518083, China; James D. Watson Institute of Genome Sciences, Hangzhou 310058, China
| | - Parice A Brandies
- School of Life and Environmental Sciences, University of Sydney, NSW 2006, Australia
| | - Carolyn J Hogg
- School of Life and Environmental Sciences, University of Sydney, NSW 2006, Australia
| | - Katherine Belov
- School of Life and Environmental Sciences, University of Sydney, NSW 2006, Australia
| | - Marilyn B Renfree
- School of BioSciences, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Kristofer M Helgen
- Australian Museum Research Institute, Australian Museum, Sydney, NSW 2010, Australia; Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, University of New South Wales, Sydney, NSW 2052, Australia
| | - Jacobus J Boomsma
- Section for Ecology and Evolution, Department of Biology, Universitetsparken 15, University of Copenhagen, 2100 Copenhagen, Denmark
| | | | - Guojie Zhang
- BGI-Shenzhen, Shenzhen 518083, China; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, Universitetsparken 15, University of Copenhagen, 2100 Copenhagen, Denmark; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.
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25
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Abstract
The optimal evacuation route in emergency evacuation can further reduce casualties. Therefore, path planning is of great significance to emergency evacuation. Aiming at the blindness and relatively slow convergence speed of ant colony algorithm path planning search, an improved ant colony algorithm is proposed by combining artificial potential field and quantum evolution theory. On the one hand, the evacuation environment of pedestrians is modeled by the grid method. Use the potential field force in the artificial potential field, the influence coefficient of the potential field force heuristic information, and the distance between the person and the target position in the ant colony algorithm to construct comprehensive heuristic information. On the other hand, the introduction of quantum evolutionary theory. The pheromone is represented by quantum bits, and the pheromone is updated by quantum revolving door feedback control. In this way, it can not only reflect the high efficiency of quantum parallel computing, but also have the better optimization ability of ant colony algorithm. A large number of simulation experiments show that the improved ant colony algorithm has a faster convergence rate and is more effective in evacuation path planning.
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Affiliation(s)
- Longzhen Zhai
- College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Shaohong Feng
- College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China
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26
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Abstract
In order to solve the problem of finding the best evacuation route quickly and effectively, in the event of an accident, a novel evacuation route planning method is proposed based on Genetic Algorithm and Simulated Annealing algorithm in this paper. On the one hand, the simulated annealing algorithm is introduced and a simulated annealing genetic algorithm is proposed, which can effectively avoid the problem of the search process falling into the local optimal solution. On the other hand, an adaptive genetic operator is designed to achieve the purpose of maintaining population diversity. The adaptive genetic operator includes an adaptive crossover probability operator and an adaptive mutation probability operator. Finally, the path planning simulation verification is carried out for the genetic algorithm and the improved genetic algorithm. The simulation results show that the improved method has greatly improved the path planning distance and time compared with the traditional genetic algorithm.
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Affiliation(s)
- Longzhen Zhai
- College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Shaohong Feng
- College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China
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27
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Liu S, Chen H, Wang C, Xu Q, Feng S, Wang Y, Yao J, Zhou Q, Tong C, Yang B, Chen J, Jiang H. POS-340 MAPK1 MEDIATES HIGH GLUCOSE INDUCED RENAL TUBULAR INJURY THROUGH DISRUPTING THE INTEGRITY OF MAM. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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28
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Jiang X, Wang J, Feng S, Xiao L, Han F. POS-445 CONTRIBUTION OF RENAL SYMPATHETIC NERVES TO THE DEVELOPMENT OF IgA NEPHROPATHY IN MICE. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Feng S, Chen JX, Liu S, Zheng P, Sun J, Zhang X, Chen Q. [Clinical and prognostic study of anti-N-methyl-D-aspartate receptor encephalitis children with paroxysmal sympathetic hyperactivity syndrome]. Zhonghua Yi Xue Za Zhi 2021; 101:3600-3603. [PMID: 34808755 DOI: 10.3760/cma.j.issn112137-20210322-00708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The data of clinical characteristics, medical cost and prognosis of 22 anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis children from the Department of Neurology, Capital Institute of Pediatrics between May 2018 and January 2021 were analyzed, and 6 of them occurred paroxysmal sympathetic hyperactivity syndrome (PSH). It was found that the anti-NMDAR encephalitis children with PSH had severer consciousness disorder [median Glasgow Coma Scale (GCS) score at admission: 7.5], longer duration of consciousness disorder (median time: 53 days), higher hospitalization cost (median cost: 230 000 RMB), severer neurological injury at onset [median modified Rankin Scale (mRS) score at admission: 4], and longer recovery time of neurological function (median time of mRS score recovered to 0-2: 7 months), compared with those without PSH (all P<0.05). Therefore, more attention should be paid to sympathetic excited symptoms of anti NMDAR encephalitis, and thus identify and intervene early on PSH to reduce the neurological damage and economic burden.
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Affiliation(s)
- S Feng
- Department of Neurology, Capital Institute of Pediatrics, Beijing 100020, China
| | - J X Chen
- Department of Neurology, Capital Institute of Pediatrics, Beijing 100020, China
| | - S Liu
- Department of Neurology, Capital Institute of Pediatrics, Beijing 100020, China
| | - P Zheng
- Department of Neurology, Capital Institute of Pediatrics, Beijing 100020, China
| | - J Sun
- Department of Neurology, Capital Institute of Pediatrics, Beijing 100020, China
| | - X Zhang
- Department of Medical Genetics, School of Basic Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
| | - Q Chen
- Department of Neurology, Capital Institute of Pediatrics, Beijing 100020, China
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Sinding MHS, Ciucani MM, Ramos-Madrigal J, Carmagnini A, Rasmussen JA, Feng S, Chen G, Vieira FG, Mattiangeli V, Ganjoo RK, Larson G, Sicheritz-Pontén T, Petersen B, Frantz L, Gilbert MTP, Bradley DG. Kouprey ( Bos sauveli) genomes unveil polytomic origin of wild Asian Bos. iScience 2021; 24:103226. [PMID: 34712923 PMCID: PMC8531564 DOI: 10.1016/j.isci.2021.103226] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/11/2021] [Accepted: 10/01/2021] [Indexed: 12/30/2022] Open
Abstract
The evolution of the genera Bos and Bison, and the nature of gene flow between wild and domestic species, is poorly understood, with genomic data of wild species being limited. We generated two genomes from the likely extinct kouprey (Bos sauveli) and analyzed them alongside other Bos and Bison genomes. We found that B. sauveli possessed genomic signatures characteristic of an independent species closely related to Bos javanicus and Bos gaurus. We found evidence for extensive incomplete lineage sorting across the three species, consistent with a polytomic diversification of the major ancestry in the group, potentially followed by secondary gene flow. Finally, we detected significant gene flow from an unsampled Asian Bos-like source into East Asian zebu cattle, demonstrating both that the full genomic diversity and evolutionary history of the Bos complex has yet to be elucidated and that museum specimens and ancient DNA are valuable resources to do so. We generated two genomes from the likely extinct kouprey (Bos sauveli) Extensive mt and nuclear-genome-wide incomplete lineage sorting across wild Asian Bos Initial polytomic diversification of the wild Asian Bos—kouprey, banteng, and gaur
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Affiliation(s)
| | | | | | - Alberto Carmagnini
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Jacob Agerbo Rasmussen
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Laboratory of Genomics and Molecular Medicine, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Shaohong Feng
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, China
| | - Guangji Chen
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, China
- University of Chinese Academy of Sciences, Beijing, China
| | | | | | | | - Greger Larson
- The Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Thomas Sicheritz-Pontén
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Bent Petersen
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Laurent Frantz
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
- Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, Munich, Germany
| | - M. Thomas P. Gilbert
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Evolutionary Hologenomics, University of Copenhagen, Copenhagen, Denmark
- Norwegian University of Science and Technology, University Museum, Trondheim, Norway
| | - Daniel G. Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
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Xie D, Chen G, Meng X, Wang H, Bi X, Fang M, Yang C, Zhou Y, Long E, Feng S. Comparable Number of Genes Having Experienced Positive Selection among Great Ape Species. Animals (Basel) 2021; 11:ani11113264. [PMID: 34827995 PMCID: PMC8614513 DOI: 10.3390/ani11113264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 10/29/2021] [Accepted: 11/10/2021] [Indexed: 11/29/2022] Open
Abstract
Simple Summary It is of great interest to quantify adaptive evolution in human lineage by studying genes under positive selection, since these genes could reveal insights into our own adaptive evolutionary history compared to our closely related species and often these genes are functionally important. We used the great apes as the subjects to detect gene-level adaptive evolution signals in all the great ape lineages and investigated the evolutionary patterns and functional relevance of these adaptive evolution signals. Even the differences in population size among these closely related great apes have resulted in differences in their ability to remove deleterious alleles and to adapt to changing environments, we found that they experienced comparable numbers of positive selection. Notably, we identified several genes that offer insights into great ape and human evolution. For example, SOD1, a gene associated with aging in humans, experienced positive selection in the common ancestor of the great ape and this positive selection may contribute to the aging evolution in great apes. Overall, an updated list of positively selected genes reported by this study not only informs us of adaptive evolution during great ape evolution, but is also helpful to the further study of non-human primate models for disease and other fields. Abstract Alleles that cause advantageous phenotypes with positive selection contribute to adaptive evolution. Investigations of positive selection in protein-coding genes rely on the accuracy of orthology, models, the quality of assemblies, and alignment. Here, based on the latest genome assemblies and gene annotations, we present a comparative analysis on positive selection in four great ape species and identify 211 high-confidence positively selected genes (PSGs). Even the differences in population size among these closely related great apes have resulted in differences in their ability to remove deleterious alleles and to adapt to changing environments, we found that they experienced comparable numbers of positive selection. We also uncovered that more than half of multigene families exhibited signals of positive selection, suggesting that imbalanced positive selection resulted in the functional divergence of duplicates. Moreover, at the expression level, although positive selection led to a more non-uniform pattern across tissues, the correlation between positive selection and expression patterns is diverse. Overall, this updated list of PSGs is of great significance for the further study of the phenotypic evolution in great apes.
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Affiliation(s)
- Duo Xie
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
- Correspondence: (D.X.); (S.F.)
| | - Guangji Chen
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
| | - Xiaoyu Meng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; (X.M.); (H.W.)
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650223, China
| | - Haotian Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; (X.M.); (H.W.)
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650223, China
| | - Xupeng Bi
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
| | - Miaoquan Fang
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
| | - Chentao Yang
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
| | - Yang Zhou
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
| | - Erping Long
- Laboratory of Translational Genomics, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20850, USA;
| | - Shaohong Feng
- BGI-Shenzhen, Shenzhen 518083, China; (X.B.); (M.F.); (C.Y.); (Y.Z.)
- Correspondence: (D.X.); (S.F.)
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Gao F, Yang Y, Zhu H, Wang J, Xiao D, Zhou Z, Dai T, Zhang Y, Feng G, Li J, Lin B, Xie G, Ke Q, Zhou K, Li P, Sheng X, Wang H, Yan L, Lao C, Shan L, Li M, Lu Y, Chen M, Feng S, Zhao J, Wu D, Du X. First Demonstration of the FLASH Effect With Ultrahigh Dose-Rate High-Energy X-Rays. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Wang XQ, Feng S, Shu XY, Yang CD, Zhang RY. Serum cholesterol efflux capacity is associated with coronary plaque progression in patients with coronary heart disease. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Coronary plaque progression is a major risk factor of adverse cardiac events in patients with coronary heart disease (CHD). Emerging evidence showed that attenuated high-density lipoprotein (HDL) function measured by cholesterol efflux capacity (CEC) was associated with development of atherosclerosis independent of HDL cholesterol level. In this study, we sought to investigate whether CEC is a predictor for coronary plaque progression in CHD patients.
Methods
We consecutively enrolled CHD patients from January 2017 to August 2019 in our Hospital who underwent elective percutaneous coronary intervention and had at least one non-target coronary lesion. Follow-up coronary angiography were performed at around 12 months. Fluorescence-labeled cholesterol and J774 macrophages were used to measure the CEC of ApoB-depleted serum sample from all patients. Quantitative coronary angiography (QCA) was performed both at baseline and follow-up to analyze the plaque progression.
Results
A total of 430 CHD patients with 586 non-target coronary lesions were included in the final analysis. During a mean follow-up time of 381.04±59.52 days, patients with decreased CEC presented more severe plaque progression (net luminal loss in highest to lowest CEC quartile: 0.22±0.42mm vs 0.20±0.41mm vs 0.13±0.36mm vs 0.11±0.34mm, p=0.035). In multivariate analysis, baseline CEC was independently associated with coronary plaque progression after adjustment for traditional risk factors including HDL cholesterol and ApoA-I, no matter treated as categorical variable (OR: 0.382 [95% CI 0.180–0.781] for highest to lowest quartile) or continuous variable (OR: 0.522 [95% CI 0.373–0.714] for per SD increase]. Furthermore, CEC demonstrated a better power in predicting coronary plaque progression compared with HDL cholesterol concentration (AUC=0.644 vs 0.514).
Conclusions
This study suggests that HDL function reflected by serum CEC is an independent predictor for coronary plaque progression in CHD patients.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): National Natural Science Foundation of China, Shanghai Municipal Commission of Health and Family Planning
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Affiliation(s)
- X Q Wang
- Rui Jin Hospital, Shanghai Jiaotong University School of Medicine, Department of Cardiology, Shanghai, China
| | - S Feng
- Rui Jin Hospital, Shanghai Jiaotong University School of Medicine, Department of Cardiology, Shanghai, China
| | - X Y Shu
- Rui Jin Hospital, Shanghai Jiaotong University School of Medicine, Department of Cardiology, Shanghai, China
| | - C D Yang
- Rui Jin Hospital, Shanghai Jiaotong University School of Medicine, Department of Cardiology, Shanghai, China
| | - R Y Zhang
- Rui Jin Hospital, Shanghai Jiaotong University School of Medicine, Department of Cardiology, Shanghai, China
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Feng S, Yin Y, Li Z, Jia Y, Yan X, Li D. 781P Efficacy and safety of apatinib combined with chemotherapy in patients of cervical cancer with pulmonary metastasis. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Chen N, Wu H, Deng Z, Liao Z, Feng S, Luo Z, Chu Y, Qiu G, Li X, Jin Y, Rong S, Wang F, Gan L, Chen R, Zhao L. [An optimized protocol of meniscus cell extraction for single-cell RNA sequencing]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1310-1318. [PMID: 34658344 DOI: 10.12122/j.issn.1673-4254.2021.09.04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To optimize the protocol of meniscus cell extraction to enhance the efficiency of cell suspension preparation and maintain a high cell viability for single-cell RNA sequencing. METHODS We compared the efficiency of the routine cell extraction methods (short-time digestion and long-time digestion) and the optimized protocol for obtaining meniscus cell suspensions by evaluating the cell number obtained and the cell viability. Single-cell RNA sequencing datasets were analyzed to evaluate the stability of the cell suspension prepared using the optimized protocol. The reliability of the optimized protocol was assessed by comparing the single-cell RNA sequencing dataset obtained by the optimized protocol with published single-cell RNA sequencing datasets of the meniscus. RESULTS The optimized protocol harvested a greater number of cells (over 1×105) than the routine protocols. The cell suspension prepared with the optimized protocol showed a cell viability higher than 80%, the highest among the 3 methods. Analysis of single-cell RNA sequencing datasets showed that the ratio of the mitochondrial genes was below 20% in over 80% of the cells. CD34+ cells, MCAM+ cells and COL1A1+ cells were identified in the datasets. Comparison with the publish datasets showed that the optimized protocol was capable of harvesting COL3A1+, COL1A1+, MYLK+, BMP2+, CD93+ and CDK1+ cells. CONCLUSION Single-cell suspension prepared from the meniscus can be stably obtained using the optimized protocol for single-cell RNA sequencing using the 10× Genomics platform.
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Affiliation(s)
- N Chen
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - H Wu
- Zhujiang Hospital, Southern Medical University, Guangzhou 510080, China
| | - Z Deng
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Z Liao
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - S Feng
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Z Luo
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Y Chu
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - G Qiu
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X Li
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Y Jin
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - S Rong
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - F Wang
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - L Gan
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - R Chen
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - L Zhao
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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Wang Z, Zhang J, Xu X, Witt C, Deng Y, Chen G, Meng G, Feng S, Xu L, Szekely T, Zhang G, Zhou Q. Phylogeny and sex chromosome evolution of palaeognathae. J Genet Genomics 2021; 49:109-119. [PMID: 34872841 DOI: 10.1016/j.jgg.2021.06.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 06/10/2021] [Accepted: 06/17/2021] [Indexed: 12/30/2022]
Abstract
Many paleognaths (ratites and tinamous) have a pair of homomorphic ZW sex chromosomes in contrast to the highly differentiated sex chromosomes of most other birds. To understand the evolutionary causes for the different tempos of sex chromosome evolution, we produced female genomes of 12 paleognathous species and reconstructed the phylogeny and the evolutionary history of paleognathous sex chromosomes. We uncovered that Palaeognathae sex chromosomes had undergone stepwise recombination suppression and formed a pattern of "evolutionary strata". Nine of the 15 studied species' sex chromosomes have maintained homologous recombination in their long pseudoautosomal regions extending more than half of the entire chromosome length. We found that in older strata, the W chromosome suffered more serious functional gene loss. Their homologous Z-linked regions, compared with other genomic regions, have produced an excess of species-specific autosomal duplicated genes that evolved female-specific expression, in contrast to their broadly expressed progenitors. We speculate the "defeminization" of Z chromosome with underrepresentation of female-biased genes and slow divergence of sex chromosomes of paleognaths might be related to their distinctive mode of sexual selection targeting females that evolved in their common ancestors.
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Affiliation(s)
- Zongji Wang
- MOE Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China; Department of Neuroscience and Developmental Biology, University of Vienna, Vienna 1090, Austria; Institute of Animal Sex and Development, Zhejiang Wanli University, Ningbo, Zhejiang 315100, China; BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China
| | - Jilin Zhang
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE-171 77 Stockholm, Sweden
| | - Xiaoman Xu
- MOE Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Christopher Witt
- Department of Biology and the Museum of Southwestern Biology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Yuan Deng
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China
| | - Guangji Chen
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China
| | - Guanliang Meng
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China
| | - Shaohong Feng
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China
| | - Luohao Xu
- Department of Neuroscience and Developmental Biology, University of Vienna, Vienna 1090, Austria
| | - Tamas Szekely
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China; Milner Center for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA1 7AY, UK
| | - Guojie Zhang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.
| | - Qi Zhou
- MOE Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China; Department of Neuroscience and Developmental Biology, University of Vienna, Vienna 1090, Austria; Center for Reproductive Medicine, The 2nd Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310052, China.
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Wei Y, Shrestha R, Pal S, Gerken T, Feng S, McNelis J, Singh D, Thornton MM, Boyer AG, Shook MA, Chen G, Baier BC, Barkley ZR, Barrick JD, Bennett JR, Browell EV, Campbell JF, Campbell LJ, Choi Y, Collins J, Dobler J, Eckl M, Fiehn A, Fried A, Digangi JP, Barton‐Grimley R, Halliday H, Klausner T, Kooi S, Kostinek J, Lauvaux T, Lin B, McGill MJ, Meadows B, Miles NL, Nehrir AR, Nowak JB, Obland M, O’Dell C, Fao RMP, Richardson SJ, Richter D, Roiger A, Sweeney C, Walega J, Weibring P, Williams CA, Yang MM, Zhou Y, Davis KJ. Atmospheric Carbon and Transport - America (ACT-America) Data Sets: Description, Management, and Delivery. Earth Space Sci 2021; 8:e2020EA001634. [PMID: 34435081 PMCID: PMC8365738 DOI: 10.1029/2020ea001634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 04/19/2021] [Accepted: 05/09/2021] [Indexed: 06/13/2023]
Abstract
The ACT-America project is a NASA Earth Venture Suborbital-2 mission designed to study the transport and fluxes of greenhouse gases. The open and freely available ACT-America data sets provide airborne in situ measurements of atmospheric carbon dioxide, methane, trace gases, aerosols, clouds, and meteorological properties, airborne remote sensing measurements of aerosol backscatter, atmospheric boundary layer height and columnar content of atmospheric carbon dioxide, tower-based measurements, and modeled atmospheric mole fractions and regional carbon fluxes of greenhouse gases over the Central and Eastern United States. We conducted 121 research flights during five campaigns in four seasons during 2016-2019 over three regions of the US (Mid-Atlantic, Midwest and South) using two NASA research aircraft (B-200 and C-130). We performed three flight patterns (fair weather, frontal crossings, and OCO-2 underflights) and collected more than 1,140 h of airborne measurements via level-leg flights in the atmospheric boundary layer, lower, and upper free troposphere and vertical profiles spanning these altitudes. We also merged various airborne in situ measurements onto a common standard sampling interval, which brings coherence to the data, creates geolocated data products, and makes it much easier for the users to perform holistic analysis of the ACT-America data products. Here, we report on detailed information of data sets collected, the workflow for data sets including storage and processing of the quality controlled and quality assured harmonized observations, and their archival and formatting for users. Finally, we provide some important information on the dissemination of data products including metadata and highlights of applications of ACT-America data sets.
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Shadman M, Sharman JP, Levy MY, Porter R, Zafar SF, Burke JM, Chaudhry A, Freeman B, Misleh J, Yimer HA, Cultrera JL, Guthrie TH, Kingsley E, Rao SS, Chen DY, Zhang X, Idoine A, Cohen A, Feng S, Huang J, Flinn I. PRELIMINARY RESULTS OF THE PHASE 2 STUDY OF ZANUBRUTINIB IN PATIENTS WITH PREVIOUSLY TREATED B‐CELL MALIGNANCIES INTOLERANT TO IBRUTINIB AND/OR ACALABRUTINIB. Hematol Oncol 2021. [DOI: 10.1002/hon.42_2880] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- M. Shadman
- Fred Hutchinson Cancer Research Center University of Washington Clinical Research Division Seattle, Washington USA
| | - J. P. Sharman
- Willamette Valley Cancer Institute and Research Center Clinical Research Division Eugene USA
| | - M. Y. Levy
- Texas Oncology‐Baylor Charles A. Sammons Cancer Center Hematology Dallas USA
| | - R. Porter
- SSM Health Dean Medical Group Hematology Madison USA
| | - S. F. Zafar
- Florida Cancer Specialists & Research Institute Oncology Fort Myers USA
| | - J. M. Burke
- Rocky Mountain Cancer Centers Oncology Aurora Colorado USA
| | | | - B. Freeman
- Summit Medical Group Oncology Florham Park USA
| | - J. Misleh
- Medical Oncology Hematology Consultants PA Hematology Newark USA
| | | | - J. L. Cultrera
- Florida Cancer Specialists & Research Institute Oncology Leesburg USA
| | | | - E. Kingsley
- Comprehensive Cancer Centers of Nevada Oncology Las Vegas USA
| | - S. S. Rao
- Alpha Med Physicians Group Oncology & Hematology Tinley Park USA
| | - D. Y. Chen
- BeiGene (Beijing) Co. Ltd. Beijing, China and BeiGene USA, Inc. Hematology San Mateo USA
| | - X. Zhang
- BeiGene (Beijing) Co. Ltd. Beijing, China and BeiGene USA, Inc. Hematology San Mateo USA
| | - A. Idoine
- BeiGene (Beijing) Co. Ltd. Beijing, China and BeiGene USA, Inc. Hematology San Mateo USA
| | - A. Cohen
- BeiGene (Beijing) Co. Ltd. Beijing, China and BeiGene USA, Inc. Hematology San Mateo USA
| | - S. Feng
- BeiGene (Beijing) Co. Ltd. Beijing, China and BeiGene USA, Inc. Hematology San Mateo USA
| | - J. Huang
- BeiGene (Beijing) Co. Ltd. Beijing, China and BeiGene USA, Inc. Hematology San Mateo USA
| | - I. Flinn
- Sarah Cannon Research Institute/Tennessee Oncology Oncology Nashville USA
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Zhang WQ, Chen LL, Cheng FF, Dai ZR, Feng S, Zhang J, Tian JM, Zhang T, Zhao GM. [Study on clinical symptoms and influencing factors of influenza-associated severe acute respiratory illness in children younger than 5 years old in Suzhou of China, 2011-2017]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1044-1049. [PMID: 34814504 DOI: 10.3760/cma.j.cn112338-20200831-01113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To study the influencing factors of influenza-associated severe acute respiratory illness (SARI) in children younger than 5 years of old in Suzhou, and to provide evidence to support the improvement of prevention and control strategies for influenza in children. Methods: We conducted a prospective influenza surveillance for hospitalized SARI and outpatient influenza-like illness (ILI) at Children's Hospital of Soochow University from April 2011 to March 2017. We compared the clinical and other characteristics of influenza-positive patients with SARI to those with ILI to find the differences and to identify influencing factors of influenza-associated SARI, using χ2 test and unconditional logistic regression. Results: We found 786 cases of influenza-associated ILI and 413 cases of influenza-associated SARI during the study period. Cough, runny nose, shortness of breath, asthma or wheezing were more common in influenza-associated SARI than in influenza-associated ILI (P<0.01). Univariate and multivariate logistic regression showed that the influencing factors which significantly associated with increased risk of influenza-associated SARI were as follows: younger age (<6 months OR=3.6, 6-23 months aOR=2.5), respiratory infection history within 3 months (aOR=4.5), chronic lung disease history (OR=3.4), fever above 39.0 ℃ (39.0-39.9 ℃ aOR=2.4, ≥40.0 ℃ aOR=6.0), and the presence of A/H1N1 (aOR=2.3), A/H3N2 (aOR=1.9). Conclusion: Children younger than 2 years old, with a history of chronic lung disease, a history of respiratory infection within 3 months, or with a fever peak above 39.0 ℃ should seek medical advice as soon as possible or receive annual influenza vaccination to reduce the incidence of influenza-associated serious outcomes.
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Affiliation(s)
- W Q Zhang
- Department of Epidemiology, School of Public Health, Fudan University/Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - L L Chen
- Department of Infectious Disease Prevention and Control, Suzhou Center for Disease Control and Prevention, Suzhou 215004, China
| | - F F Cheng
- Department of Infection, Children's Hospital of Soochow University, Suzhou 215003, China
| | - Z R Dai
- Department of Epidemiology, School of Public Health, Fudan University/Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - S Feng
- Department of Epidemiology, School of Public Health, Fudan University/Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - J Zhang
- Department of Infectious Disease Prevention and Control, Suzhou Center for Disease Control and Prevention, Suzhou 215004, China
| | - J M Tian
- Department of Infection, Children's Hospital of Soochow University, Suzhou 215003, China
| | - T Zhang
- Department of Epidemiology, School of Public Health, Fudan University/Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - G M Zhao
- Department of Epidemiology, School of Public Health, Fudan University/Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
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Zheng C, Zhang SX, Zhao R, Cheng L, Kong T, Sun X, Feng S, Wang Q, Li X, Yu Q, He PF. POS0851 IDENTIFICATION OF HUB GENES AND PATHWAYS IN DERMATOMYOSITIS BY BIOINFORMATICS ANALYSIS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.2026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Dermatomyositis (DM) is a chronic systemic autoimmune disease characterized by inflammatory infiltrates in the skin and muscle1. The genes and pathways in the inflamed myopathies in patients with DM are poorly understood2.Objectives:To identify the key genes and pathways associated with DM and further discover its pathogenesis.Methods:Muscle tissue gene expression profile (GSE143323) were acquired from the GEO database, which included 39 DM samples and 20 normal samples. The differentially expressed genes (DEGs) in DM muscle tissue were screened by adopting the R software. Gene ontology (GO) and Kyoto Encyclopedia of Genome (KEGG) pathway enrichment analysis was performed by Metascape online analysis tool. A protein-protein interaction (PPI) network was then constructed by STRING software using the genes in significantly different pathways. Network of DEGs was analyzed by Cytoscape software. And degree of nodes was used to screen key genes.Results:Totally, 126 DEGs were obtained, which contained 122 up-regulated and 4 down-regulated. GO analysis revealed that most of the DEGs were significantly enriched in type I interferon signaling pathway, response to interferon-gamma, collagen-containing extracellular matrix, response to interferon-alpha and bacterium, positive regulation of cell death, leukocyte chemotaxis. KEGG pathway analysis showed that upregulated DEGs enhanced pathways associated with the hepatitis C, complement and coagulation cascades, p53 signaling pathway, RIG-I-like receptor signaling, Osteoclast differentiation, and AGE-RAGE signaling pathway. Ten hub genes were identified in DM, they were ISG15, IRF7, STAT1, MX1, OASL, OAS2, OAS1, OAS3, GBP1, and IRF9 according to the Cytoscape software and cytoHubba plugin.Conclusion:The findings from this bioinformatics network analysis study identified the key hub genes that might provide new molecular markers for its diagnosis and treatment.References:[1]Olazagasti JM, Niewold TB, Reed AM. Immunological biomarkers in dermatomyositis. Curr Rheumatol Rep 2015;17(11):68. doi: 10.1007/s11926-015-0543-y [published Online First: 2015/09/26].[2]Chen LY, Cui ZL, Hua FC, et al. Bioinformatics analysis of gene expression profiles of dermatomyositis. Mol Med Rep 2016;14(4):3785-90. doi: 10.3892/mmr.2016.5703 [published Online First: 2016/09/08].[3]Zhou Y, Zhou B, Pache L, et al. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun 2019;10(1):1523. doi: 10.1038/s41467-019-09234-6 [published Online First: 2019/04/05].Acknowledgements:This project was supported by National Science Foundation of China (82001740), Open Fund from the Key Laboratory of Cellular Physiology (Shanxi Medical University) (KLCP2019) and Innovation Plan for Postgraduate Education in Shanxi Province (2020BY078).Disclosure of Interests:None declared
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Cheng L, Zhang SX, Song S, Zheng C, Sun X, Feng S, Kong T, Shi G, Li X, He PF, Yu Q. POS0458 IDENTIFICATION OF HUB GENES AND MOLECULAR PATHWAYS IN PATIENTS WITH RHEUMATOID ARTHRITIS BY BIOINFORMATICS ANALYSIS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.1938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Rheumatoid arthritis (RA) is a chronic, inflammatory synovitis based systemic disease of unknown etiology1. The genes and pathways in the inflamed synovium of RA patients are poorly understood.Objectives:This study aims to identify differentially expressed genes (DEGs) associated with the progression of synovitis in RA using bioinformatics analysis and explore its pathogenesis2.Methods:RA expression profile microarray data GSE89408 were acquired from the public gene chip database (GEO), including 152 synovial tissue samples from RA and 28 healthy synovial tissue samples. The DEGs of RA synovial tissues were screened by adopting the R software. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed. Protein-protein interaction (PPI) networks were assembled with Cytoscape software.Results:A total of 654 DEGs (268 up-regulated genes and 386 down-regulated genes) were obtained by the differential analysis. The GO enrichment results showed that the up-regulated genes were significantly enriched in the biological processes of myeloid leukocyte activation, cellular response to interferon-gamma and immune response-regulating signaling pathway, and the down-regulated genes were significantly enriched in the biological processes of extracellular matrix, retinoid metabolic process and regulation of lipid metabolic process. The KEGG annotation showed the up-regulated genes mainly participated in the staphylococcus aureus infection, chemokine signaling pathway, lysosome signaling pathway and the down-regulated genes mainly participated in the PPAR signaling pathway, AMPK signaling pathway, ECM-receptor interaction and so on. The 9 hub genes (PTPRC, TLR2, tyrobp, CTSS, CCL2, CCR5, B2M, fcgr1a and PPBP) were obtained based on the String database model by using the Cytoscape software and cytoHubba plugin3.Conclusion:The findings identified the molecular mechanisms and the key hub genes of pathogenesis and progression of RA.References:[1]Xiong Y, Mi BB, Liu MF, et al. Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid Arthritis. Med Sci Monit 2019;25:2246-56. doi: 10.12659/MSM.915451 [published Online First: 2019/03/28][2]Mun S, Lee J, Park A, et al. Proteomics Approach for the Discovery of Rheumatoid Arthritis Biomarkers Using Mass Spectrometry. Int J Mol Sci 2019;20(18) doi: 10.3390/ijms20184368 [published Online First: 2019/09/08][3]Zhu N, Hou J, Wu Y, et al. Identification of key genes in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis. Medicine (Baltimore) 2018;97(22):e10997. doi: 10.1097/MD.0000000000010997 [published Online First: 2018/06/01]Acknowledgements:This project was supported by National Science Foundation of China (82001740), Open Fund from the Key Laboratory of Cellular Physiology (Shanxi Medical University) (KLCP2019) and Innovation Plan for Postgraduate Education in Shanxi Province (2020BY078).Disclosure of Interests:None declared
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Sun X, Zhang SX, Song S, Kong T, Zheng C, Cheng L, Feng S, Shi G, LI X, He PF, Yu Q. AB0005 IDENTIFICATION OF KEY GENES AND PATHWAYS FOR PSORIASIS BASED ON GEO DATABASES BY BIOINFORMATICS ANALYSIS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.1773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Psoriasis is an immune-mediated, genetic disease manifesting in the skin or joints or both, and also has a strong genetic predisposition and autoimmune pathogenic traits1. The hallmark of psoriasis is sustained inflammation that leads to uncontrolled keratinocyte proliferation and dysfunctional differentiation. And it’s also a chronic relapsing disease, which often necessitates a long-term therapy2.Objectives:To investigate the molecular mechanisms of psoriasis and find the potential gene targets for diagnosis and treating psoriasis.Methods:Total 334 gene expression data of patients with psoriasis research (GSE13355 GSE14905 and GSE30999) were obtained from the Gene Expression Omnibus database. After data preprocessing and screening of differentially expressed genes (DEGs) by R software. Online toll Metascape3 was used to analyze Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs. Interactions of proteins encoded by DEGs were discovered by Protein-protein interaction network (PPI) using STRING online software. Cytoscape software was utilized to visualize PPI and the degree of each DEGs was obtained by analyzing the topological structure of the PPI network.Results:A total of 611 DEGs were found to be differentially expressed in psoriasis. GO analysis revealed that up-regulated DEGs were mostly associated with defense and response to external stimulus while down-regulated DEGs were mostly associated with metabolism and synthesis of lipids. KEGG enrichment analysis suggested they were mainly enriched in IL-17 signaling, Toll-like receptor signaling and PPAR signaling pathways, Cytokine-cytokine receptor interaction and lipid metabolism. In addition, top 9 key genes (CXCL10, OASL, IFIT1, IFIT3, RSAD2, MX1, OAS1, IFI44 and OAS2) were identified through Cytoscape.Conclusion:DEGs of psoriasis may play an essential role in disease development and may be potential pathogeneses of psoriasis.References:[1]Boehncke WH, Schon MP. Psoriasis. Lancet 2015;386(9997):983-94. doi: 10.1016/S0140-6736(14)61909-7 [published Online First: 2015/05/31].[2]Zhang YJ, Sun YZ, Gao XH, et al. Integrated bioinformatic analysis of differentially expressed genes and signaling pathways in plaque psoriasis. Mol Med Rep 2019;20(1):225-35. doi: 10.3892/mmr.2019.10241 [published Online First: 2019/05/23].[3]Zhou Y, Zhou B, Pache L, et al. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun 2019;10(1):1523. doi: 10.1038/s41467-019-09234-6 [published Online First: 2019/04/05].Acknowledgements:This project was supported by National Science Foundation of China (82001740), Open Fund from the Key Laboratory of Cellular Physiology (Shanxi Medical University) (KLCP2019) and Innovation Plan for Postgraduate Education in Shanxi Province (2020BY078).Disclosure of Interests:None declared
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Kong T, Zhang SX, Song S, Sun X, Zheng C, Feng S, Cheng L, Shi G, Li X, He PF, Yu Q. POS0742 SCREENING AND BIOINFORMATICS ANALYSIS OF HUB GENES AND PATHWAYS FOR PRIMARY SJÖGREN’S SYNDROME BASED ON GEO DATABASE. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Primary Sjögren’s syndrome (pSS) is an autoimmune disease that featured as lymphoplasmacytic infiltration of the exocrine glands leading to sicca symptoms1. However, its underlying molecular mechanisms remain elusive.Objectives:This study aims to identify differentially expressed genes (DEGs) and pathways associated with the progression of pSS using bioinformatics analysis and explore its pathogenesis.Methods:The pSS-associated gene chip data set GSE66795 was obtained from the Gene Expression Omnibus (GEO) database, which included 131 cases of fully-phenotyped pSS patients’ whole blood samples and 29 cases of control samples. DEGs were screened Using R software. Online tool Metascape2 was used to make Gene Ontology (GO) and KEGG pathway enrichment. The PPI network was performed using String database. Hub genes were identified by Cytoscape.Results:A total of 108 DEGs were captured, including 101 up-regulated genes and 7 down-regulated genes. GO enrichment showed that these DEGs were primarily enriched in defense response to virus, response to interferon-gamma, regulation of innate immune response, response to interferon-beta, double-stranded RNA binding, response to interferon-alpha. KEGG pathway enrichment analysis showed these DEGs were principally enriched in Influenza A, RIG-I-like receptor signaling pathway, necroptosis, Staphylococcus aureus infection. Finally, 9 hub genes (STAT1, IRF7, OAS2, GBP1, OAS1, IFIT3, IFIH1, OAS3, DDX60) had highest degree value.Conclusion:The findings identified molecular mechanisms and the key hub genes that may involve in the occurrence and development of pSS.References:[1]Francois H, Mariette X. Renal involvement in primary Sjogren syndrome. Nat Rev Nephrol 2016;12(2):82-93. doi: 10.1038/nrneph.2015.174 [published Online First: 2015/11/17].[2]Zhou Y, Zhou B, Pache L, et al. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun 2019;10(1):1523. doi: 10.1038/s41467-019-09234-6 [published Online First: 2019/04/05].Acknowledgements:This project was supported by National Science Foundation of China (82001740), Open Fund from the Key Laboratory of Cellular Physiology (Shanxi Medical University) (KLCP2019) and Innovation Plan for Postgraduate Education in Shanxi Province (2020BY078).Disclosure of Interests:None declared
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Feng S, Clarkson T, Harkness G. Using the TWIST scoring system to evaluate for testicular torsion safely reduces unnecessary ultrasound and surgical exploration. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01516-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Feng S, Zhang SX, Zhao R, Zheng C, Cheng L, Kong T, Sun X, Wang Q, Li X, Yu Q, He PF. POS0848 IDENTIFICATION OF POTENTIAL CRUCIAL GENES AND KEY PATHWAYS IN PULMONARY ARTERIAL HYPERTENSION WITH SYSTEMIC SCLEROSIS BY BIOINFORMATIC ANALYSIS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.1947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Pulmonary arterial hypertension with systemic sclerosis (SSc-PAH) is the main cause of death in patients with SSc. Early diagnosis and timely treatment are very important to reduce the mortality of patients with SSc-PAH1. At present, there are not many sensitive markers for the diagnosis of SSc-PAH. Therefore, it is necessary to mine more sensitive markers as more accurate and practical predictors, which is of great significance for the diagnosis and treatment of SSc-PAH.Objectives:To discover the differentially expressed genes (DEGs) and activated signaling pathways in SSc-PAH.Methods:Fifty-five samples (27 SSc-PAH v.s 28 normal controls) in GSE33463 chip data obtained from Gene Expression Omnibus (GEO) were included in this study. DEGs in SSc-PAH patients were screened by R, key pathways and hub genes were discoved by Metascape2, STRING3 and Cytoscape.Results:Total 431 genes with large differences were identified, including 238 up-regulated genes and 193 down-regulated genes, after standardizing the data (|logFC| > 1; P < 0.05). GO analysis showed that the upregulated genes were mainly involved in defense response to virus, hemoglobin complex, platelet alpha granule membrane and cytokine binding. The downregulated genes were mainly characterized by positive regulation of cell death, regulation of MAPK cascade, regulation of DNA-binding transcription factor activity and transcription factor AP-1 complex. Several significant enriched pathways obtained in the KEGG pathway analysis were Influenza A, Hepatitis C, IL-17 signaling pathway, MAPK signaling pathway, Toll-like receptor signaling pathway. Finally, after the selected differential genes were introduced into STRING online software, the data information of protein interaction network was derived, and 12 core genes in the network were identified, they were CXCL8, PPBP, LPAR1, FPR2, GNG11, CXCL10, LPAR5, JUN, C3AR1, CCR2, CCR3, IRF2.Conclusion:The genes and signal pathways related to SSc-PAH discovered by bioinformatics methods could not only provided new molecular markers for its diagnosis and treatment, but also provided new ideas for its related biological research.References:[1]Zheng JN, Li Y, Yan YM, et al. Identification and Validation of Key Genes Associated With Systemic Sclerosis-Related Pulmonary Hypertension. Front Genet 2020;11:816. doi: 10.3389/fgene.2020.00816 [published Online First: 2020/08/15].[2]Zhou Y, Zhou B, Pache L, et al. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun 2019;10(1):1523. doi: 10.1038/s41467-019-09234-6 [published Online First: 2019/04/05].[3]Szklarczyk D, Gable AL, Lyon D, et al. STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res 2019;47(D1):D607-D13. doi: 10.1093/nar/gky1131 [published Online First: 2018/11/27].Acknowledgements:This project was supported by National Science Foundation of China (82001740), Open Fund from the Key Laboratory of Cellular Physiology (Shanxi Medical University) (KLCP2019) and Innovation Plan for Postgraduate Education in Shanxi Province (2020BY078).Disclosure of Interests:None declared
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Yu C, Gu J, Liao Z, Feng S. Prediction of spinal anesthesia-induced hypotension during elective cesarean section: a systematic review of prospective observational studies. Int J Obstet Anesth 2021; 47:103175. [PMID: 34034957 DOI: 10.1016/j.ijoa.2021.103175] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 04/15/2021] [Accepted: 04/25/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Spinal anesthesia is the standard for elective cesarean section but spinal anesthesia-induced hypotension remains an important problem. Accurate prediction of hypotension could enhance clinical decision-making, alter management, and facilitate early intervention. We performed a systematic review of predictors of spinal anesthesia-induced hypotension and their predictive value during cesarean section. METHODS PubMed, Embase, Cochrane Library, Google Scholar and Web of Science databases were searched for prospective observational studies assessing the diagnostic accuracy of predictors of spinal anesthesia-induced hypotension in elective cesarean section. The quality of studies was assessed and predictors were grouped in domains based on the type of predictor. RESULTS Thirty-eight studies (n=3086 patients) were included. In most studies, patients received 500-1000 mL crystalloid preload or 500-2000 mL crystalloid coload. Vasopressors for post-spinal hypotension were boluses of ephedrine 5-15 mg and/or phenylephrine 25-100 µg in most studies. The hypotension rate varied from 29% to 80% based on the definition. For analysis, >30 predictors were classified into seven domains: demographic characteristics, baseline hemodynamic variables, baseline sympathovagal balance, postural stress testing, peripheral perfusion indices, blood volume and fluid responsiveness indices, and genetic polymorphism. CONCLUSIONS Environmental and individual factors increased outcome variability, which restricted the value of the autonomic nervous system and peripheral perfusion indices for prediction of spinal anesthesia-induced hypotension. Supine stress tests may reflect parturients' cardiovascular tolerance during hemodynamic fluctuations and may optimize the predictive value of static state predictors. Future research for predicting spinal anesthesia-induced hypotension should focus on composite and dynamic parameters during the supine stress tests.
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Affiliation(s)
- C Yu
- Department of Anesthesiology and Key Laboratory of Birth Defects and Related Diseases of Women and Children Sichuan University, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - J Gu
- Department of Anesthesiology and Key Laboratory of Birth Defects and Related Diseases of Women and Children Sichuan University, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Z Liao
- Department of Anesthesiology and Key Laboratory of Birth Defects and Related Diseases of Women and Children Sichuan University, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - S Feng
- Department of Anesthesiology and Key Laboratory of Birth Defects and Related Diseases of Women and Children Sichuan University, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.
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Feng S, Stiller J, Deng Y, Armstrong J, Fang Q, Reeve AH, Xie D, Chen G, Guo C, Faircloth BC, Petersen B, Wang Z, Zhou Q, Diekhans M, Chen W, Andreu-Sánchez S, Margaryan A, Howard JT, Parent C, Pacheco G, Sinding MHS, Puetz L, Cavill E, Ribeiro ÂM, Eckhart L, Fjeldså J, Hosner PA, Brumfield RT, Christidis L, Bertelsen MF, Sicheritz-Ponten T, Tietze DT, Robertson BC, Song G, Borgia G, Claramunt S, Lovette IJ, Cowen SJ, Njoroge P, Dumbacher JP, Ryder OA, Fuchs J, Bunce M, Burt DW, Cracraft J, Meng G, Hackett SJ, Ryan PG, Jønsson KA, Jamieson IG, da Fonseca RR, Braun EL, Houde P, Mirarab S, Suh A, Hansson B, Ponnikas S, Sigeman H, Stervander M, Frandsen PB, van der Zwan H, van der Sluis R, Visser C, Balakrishnan CN, Clark AG, Fitzpatrick JW, Bowman R, Chen N, Cloutier A, Sackton TB, Edwards SV, Foote DJ, Shakya SB, Sheldon FH, Vignal A, Soares AER, Shapiro B, González-Solís J, Ferrer-Obiol J, Rozas J, Riutort M, Tigano A, Friesen V, Dalén L, Urrutia AO, Székely T, Liu Y, Campana MG, Corvelo A, Fleischer RC, Rutherford KM, Gemmell NJ, Dussex N, Mouritsen H, Thiele N, Delmore K, Liedvogel M, Franke A, Hoeppner MP, Krone O, Fudickar AM, Milá B, Ketterson ED, Fidler AE, Friis G, Parody-Merino ÁM, Battley PF, Cox MP, Lima NCB, Prosdocimi F, Parchman TL, Schlinger BA, Loiselle BA, Blake JG, Lim HC, Day LB, Fuxjager MJ, Baldwin MW, Braun MJ, Wirthlin M, Dikow RB, Ryder TB, Camenisch G, Keller LF, DaCosta JM, Hauber ME, Louder MIM, Witt CC, McGuire JA, Mudge J, Megna LC, Carling MD, Wang B, Taylor SA, Del-Rio G, Aleixo A, Vasconcelos ATR, Mello CV, Weir JT, Haussler D, Li Q, Yang H, Wang J, Lei F, Rahbek C, Gilbert MTP, Graves GR, Jarvis ED, Paten B, Zhang G. Author Correction: Dense sampling of bird diversity increases power of comparative genomics. Nature 2021; 592:E24. [PMID: 33833441 PMCID: PMC8081657 DOI: 10.1038/s41586-021-03473-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Shaohong Feng
- China National GeneBank, BGI-Shenzhen, Shenzhen, China.,State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,BGI-Shenzhen, Shenzhen, China
| | - Josefin Stiller
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Yuan Deng
- China National GeneBank, BGI-Shenzhen, Shenzhen, China.,BGI-Shenzhen, Shenzhen, China.,Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Joel Armstrong
- UC Santa Cruz Genomics Institute, UC Santa Cruz, Santa Cruz, CA, USA
| | - Qi Fang
- China National GeneBank, BGI-Shenzhen, Shenzhen, China.,BGI-Shenzhen, Shenzhen, China.,Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Andrew Hart Reeve
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Duo Xie
- China National GeneBank, BGI-Shenzhen, Shenzhen, China.,BGI-Shenzhen, Shenzhen, China.,BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
| | - Guangji Chen
- China National GeneBank, BGI-Shenzhen, Shenzhen, China.,BGI-Shenzhen, Shenzhen, China.,BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
| | - Chunxue Guo
- China National GeneBank, BGI-Shenzhen, Shenzhen, China.,BGI-Shenzhen, Shenzhen, China
| | - Brant C Faircloth
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.,Museum of Natural Science, Louisiana State University, Baton Rouge, LA, USA
| | - Bent Petersen
- Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia.,Section for Evolutionary Genomics, The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Zongji Wang
- China National GeneBank, BGI-Shenzhen, Shenzhen, China.,BGI-Shenzhen, Shenzhen, China.,MOE Laboratory of Biosystems Homeostasis and Protection, Life Sciences Institute, Zhejiang University, Hangzhou, China.,Department of Neuroscience and Developmental Biology, University of Vienna, Vienna, Austria
| | - Qi Zhou
- MOE Laboratory of Biosystems Homeostasis and Protection, Life Sciences Institute, Zhejiang University, Hangzhou, China.,Department of Neuroscience and Developmental Biology, University of Vienna, Vienna, Austria.,Center for Reproductive Medicine, The 2nd Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, UC Santa Cruz, Santa Cruz, CA, USA
| | - Wanjun Chen
- China National GeneBank, BGI-Shenzhen, Shenzhen, China.,BGI-Shenzhen, Shenzhen, China
| | - Sergio Andreu-Sánchez
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Ashot Margaryan
- Section for Evolutionary Genomics, The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Institute of Molecular Biology, National Academy of Sciences, Yerevan, Armenia
| | | | | | - George Pacheco
- Section for Evolutionary Genomics, The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mikkel-Holger S Sinding
- Section for Evolutionary Genomics, The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lara Puetz
- Section for Evolutionary Genomics, The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emily Cavill
- Section for Evolutionary Genomics, The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ângela M Ribeiro
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Leopold Eckhart
- Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - Jon Fjeldså
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.,Center for Macroecology, Evolution, and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Peter A Hosner
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.,Center for Macroecology, Evolution, and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Robb T Brumfield
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.,Museum of Natural Science, Louisiana State University, Baton Rouge, LA, USA
| | - Les Christidis
- Southern Cross University, Coffs Harbour, New South Wales, Australia
| | - Mads F Bertelsen
- Centre for Zoo and Wild Animal Health, Copenhagen Zoo, Frederiksberg, Denmark
| | - Thomas Sicheritz-Ponten
- Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia.,Section for Evolutionary Genomics, The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | | | - Gang Song
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,Environmental Futures Research Institute, Griffith University, Nathan, Queensland, Australia
| | - Gerald Borgia
- Department of Biology, University of Maryland, College Park, MD, USA
| | - Santiago Claramunt
- Department of Natural History, Royal Ontario Museum, Toronto, Ontario, Canada.,Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - Irby J Lovette
- Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA
| | - Saul J Cowen
- Biodiversity and Conservation Science, Department of Biodiversity Conservation and Attractions, Perth, Western Australia, Australia
| | - Peter Njoroge
- Ornithology Section, Zoology Department, National Museums of Kenya, Nairobi, Kenya
| | | | - Oliver A Ryder
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA.,Evolution, Behavior, and Ecology, Division of Biology, University of California San Diego, La Jolla, CA, USA
| | - Jérôme Fuchs
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum National d'Histoire Naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, Paris, France
| | - Michael Bunce
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Western Australia, Perth, Australia
| | - David W Burt
- UQ Genomics, University of Queensland, Brisbane, Queensland, Australia
| | - Joel Cracraft
- Department of Ornithology, American Museum of Natural History, New York, NY, USA
| | | | - Shannon J Hackett
- Integrative Research Center, Field Museum of Natural History, Chicago, IL, USA
| | - Peter G Ryan
- FitzPatrick Institute of African Ornithology, University of Cape Town, Cape Town, South Africa
| | - Knud Andreas Jønsson
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Ian G Jamieson
- Department of Zoology, University of Otago, Dunedin, New Zealand
| | - Rute R da Fonseca
- Center for Macroecology, Evolution, and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Edward L Braun
- Department of Biology, University of Florida, Gainesville, FL, USA
| | - Peter Houde
- Department of Biology, New Mexico State University, Las Cruces, NM, USA
| | - Siavash Mirarab
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Alexander Suh
- Department of Ecology and Genetics - Evolutionary Biology, Evolutionary Biology Centre (EBC), Science for Life Laboratory, Uppsala University, Uppsala, Sweden.,Department of Organismal Biology - Systematic Biology, Evolutionary Biology Centre (EBC), Science for Life Laboratory, Uppsala University, Uppsala, Sweden.,School of Biological Sciences, University of East Anglia, Norwich, UK
| | - Bengt Hansson
- Department of Biology, Lund University, Lund, Sweden
| | - Suvi Ponnikas
- Department of Biology, Lund University, Lund, Sweden
| | - Hanna Sigeman
- Department of Biology, Lund University, Lund, Sweden
| | - Martin Stervander
- Department of Biology, Lund University, Lund, Sweden.,Institute of Ecology and Evolution, University of Oregon, Eugene, OR, USA
| | - Paul B Frandsen
- Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT, USA.,Data Science Lab, Office of the Chief Information Officer, Smithsonian Institution, Washington, DC, USA
| | | | - Rencia van der Sluis
- Focus Area for Human Metabolomics, North-West University, Potchefstroom, South Africa
| | - Carina Visser
- Department of Animal Sciences, University of Pretoria, Pretoria, South Africa
| | | | - Andrew G Clark
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | | | - Reed Bowman
- Avian Ecology Program, Archbold Biological Station, Venus, FL, USA
| | - Nancy Chen
- Department of Biology, University of Rochester, Rochester, NY, USA
| | - Alison Cloutier
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.,Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA
| | | | - Scott V Edwards
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.,Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA
| | - Dustin J Foote
- Department of Biology, East Carolina University, Greenville, NC, USA.,Sylvan Heights Bird Park, Scotland Neck, NC, USA
| | - Subir B Shakya
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.,Museum of Natural Science, Louisiana State University, Baton Rouge, LA, USA
| | - Frederick H Sheldon
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.,Museum of Natural Science, Louisiana State University, Baton Rouge, LA, USA
| | - Alain Vignal
- GenPhySE, INRA, INPT, INP-ENVT, Université de Toulouse, Castanet-Tolosan, France
| | - André E R Soares
- Laboratório Nacional de Computação Científica, Petrópolis, Brazil.,Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA.,Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Jacob González-Solís
- Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Barcelona, Spain.,Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals (BEECA), Universitat de Barcelona, Barcelona, Spain
| | - Joan Ferrer-Obiol
- Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Barcelona, Spain.,Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Spain
| | - Julio Rozas
- Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Barcelona, Spain.,Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Spain
| | - Marta Riutort
- Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Barcelona, Spain.,Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Spain
| | - Anna Tigano
- Department of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH, USA.,Department of Biology, Queen's University, Kingston, Ontario, Canada
| | - Vicki Friesen
- Department of Biology, Queen's University, Kingston, Ontario, Canada
| | - Love Dalén
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Centre for Palaeogenetics, Stockholm, Sweden
| | - Araxi O Urrutia
- Milner Centre for Evolution, University of Bath, Bath, UK.,Instituto de Ecologia, UNAM, Mexico City, Mexico
| | - Tamás Székely
- Milner Centre for Evolution, University of Bath, Bath, UK
| | - Yang Liu
- State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Guangzhou, China
| | - Michael G Campana
- Center for Conservation Genomics, Smithsonian Conservation Biology Institute, Smithsonian Institution, Washington, DC, USA
| | | | - Robert C Fleischer
- Center for Conservation Genomics, Smithsonian Conservation Biology Institute, Smithsonian Institution, Washington, DC, USA
| | - Kim M Rutherford
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Neil J Gemmell
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Nicolas Dussex
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Centre for Palaeogenetics, Stockholm, Sweden.,Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Henrik Mouritsen
- AG Neurosensory Sciences, Institut für Biologie und Umweltwissenschaften, University of Oldenburg, Oldenburg, Germany
| | - Nadine Thiele
- AG Neurosensory Sciences, Institut für Biologie und Umweltwissenschaften, University of Oldenburg, Oldenburg, Germany
| | - Kira Delmore
- Biology Department, Texas A&M University, College Station, TX, USA.,MPRG Behavioural Genomics, Max Planck Institute for Evolutionary Biology, Plön, Germany
| | | | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts- University of Kiel, Kiel, Germany
| | - Marc P Hoeppner
- Institute of Clinical Molecular Biology, Christian-Albrechts- University of Kiel, Kiel, Germany
| | - Oliver Krone
- Department of Wildlife Diseases, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
| | - Adam M Fudickar
- Environmental Resilience Institute, Indiana University, Bloomington, IN, USA
| | - Borja Milá
- National Museum of Natural Sciences, Spanish National Research Council (CSIC), Madrid, Spain
| | | | - Andrew Eric Fidler
- Institute of Marine Science, University of Auckland, Auckland, New Zealand
| | - Guillermo Friis
- Center for Genomics and Systems Biology, Department of Biology, New York University - Abu Dhabi, Abu Dhabi, UAE
| | | | - Phil F Battley
- Wildlife and Ecology Group, Massey University, Palmerston North, New Zealand
| | - Murray P Cox
- School of Fundamental Sciences, Massey University, Palmerston North, New Zealand
| | - Nicholas Costa Barroso Lima
- Laboratório Nacional de Computação Científica, Petrópolis, Brazil.,Departamento de Bioquímica e Biologia Molecular, Centro de Ciências, Universidade Federal do Ceará, Fortaleza, Brazil
| | - Francisco Prosdocimi
- Laboratório de Genômica e Biodiversidade, Instituto de Bioquímica Médica Leopoldo de Meis, Rio de Janeiro, Brazil
| | | | - Barney A Schlinger
- Department of Integrative Biology and Physiology, UCLA, Los Angeles, CA, USA.,Smithsonian Tropical Research Institute, Panama City, Panama
| | - Bette A Loiselle
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA.,Center for Latin American Studies, University of Florida, Gainesville, FL, USA
| | - John G Blake
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA
| | - Haw Chuan Lim
- Center for Conservation Genomics, Smithsonian Conservation Biology Institute, Smithsonian Institution, Washington, DC, USA.,Department of Biology, George Mason University, Fairfax, VA, USA
| | - Lainy B Day
- Department of Biology and Neuroscience Minor, University of Mississippi, University, MS, USA
| | - Matthew J Fuxjager
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA
| | | | - Michael J Braun
- Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA.,Behavior, Ecology, Evolution and Systematics Program, University of Maryland, College Park, MD, USA
| | - Morgan Wirthlin
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Rebecca B Dikow
- Data Science Lab, Office of the Chief Information Officer, Smithsonian Institution, Washington, DC, USA
| | - T Brandt Ryder
- Migratory Bird Center, Smithsonian National Zoological Park and Conservation Biology Institute, Washington, DC, USA
| | - Glauco Camenisch
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Lukas F Keller
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | | | - Mark E Hauber
- Department of Evolution, Ecology, and Behavior, School of Integrative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Matthew I M Louder
- Department of Biology, East Carolina University, Greenville, NC, USA.,Department of Evolution, Ecology, and Behavior, School of Integrative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,International Research Center for Neurointelligence, University of Tokyo, Tokyo, Japan
| | - Christopher C Witt
- Museum of Southwestern Biology, Department of Biology, University of New Mexico, Albuquerque, NM, USA
| | - Jimmy A McGuire
- Museum of Vertebrate Zoology, Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Joann Mudge
- National Center for Genome Resources, Santa Fe, NM, USA
| | - Libby C Megna
- Department of Zoology and Physiology, University of Wyoming, Laramie, WY, USA
| | - Matthew D Carling
- Department of Zoology and Physiology, University of Wyoming, Laramie, WY, USA
| | - Biao Wang
- School of BioSciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Scott A Taylor
- Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Glaucia Del-Rio
- Museum of Natural Science, Louisiana State University, Baton Rouge, LA, USA
| | - Alexandre Aleixo
- Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | | | - Claudio V Mello
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA
| | - Jason T Weir
- Department of Natural History, Royal Ontario Museum, Toronto, Ontario, Canada.,Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.,Department of Biological Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - David Haussler
- UC Santa Cruz Genomics Institute, UC Santa Cruz, Santa Cruz, CA, USA
| | - Qiye Li
- China National GeneBank, BGI-Shenzhen, Shenzhen, China.,BGI-Shenzhen, Shenzhen, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen, China.,James D. Watson Institute of Genome Sciences, Hangzhou, China
| | | | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Carsten Rahbek
- Center for Macroecology, Evolution, and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,Danish Institute for Advanced Study, University of Southern Denmark, Odense, Denmark.,Institute of Ecology, Peking University, Beijing, China.,Department of Life Sciences, Imperial College London, Ascot, UK
| | - M Thomas P Gilbert
- Section for Evolutionary Genomics, The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,University Museum, Norwegian University of Science and Technology, Trondheim, Norway
| | - Gary R Graves
- Center for Macroecology, Evolution, and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - Erich D Jarvis
- Duke University Medical Center, Durham, NC, USA.,The Rockefeller University, New York, NY, USA.,Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, UC Santa Cruz, Santa Cruz, CA, USA.
| | - Guojie Zhang
- China National GeneBank, BGI-Shenzhen, Shenzhen, China. .,State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China. .,Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark. .,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
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Huang M, Feng S, Yang C, Wen F, He D, Jiang P. Construction of an MnO 2 nanosheet array 3D integrated electrode for sensitive enzyme-free glucose sensing. Anal Methods 2021; 13:1247-1254. [PMID: 33615320 DOI: 10.1039/d0ay02163f] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
MnO2 based electrochemical enzyme-free glucose sensors remain significantly limited by their low electronic conductivity and associated complex preparation. In this paper, an MnO2 nanosheet array supported on nickel foam (MnO2 NS/NF) was prepared using a simple hydrothermal synthesis and employed as a 3D integrated electrode for enzyme-free glucose detection. It was found that MnO2 NS/NF shows high performance with a wide linear range from 1 μM to 1.13 mM, a high sensitivity of 6.45 mA mM-1 cm-2, and a low detection limit of 0.5 μM (S/N = 3). Besides, MnO2 NS/NF shows high selectivity against common interferences and good reliability for glucose detection in human serum. This work demonstrates the promising role of MnO2 NS/NF as an efficient integrated electrode in enzyme-free glucose detection with high performance.
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Affiliation(s)
- M Huang
- Chongqing Key Laboratory of Inorganic Functional Materials, College of Chemistry, Chongqing Normal University, Chongqing 401331, China.
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Liu J, Wang Z, Li J, Xu L, Liu J, Feng S, Guo C, Chen S, Ren Z, Rao J, Wei K, Chen Y, Jarvis ED, Zhang G, Zhou Q. A new emu genome illuminates the evolution of genome configuration and nuclear architecture of avian chromosomes. Genome Res 2021; 31:497-511. [PMID: 33408157 PMCID: PMC7919449 DOI: 10.1101/gr.271569.120] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 12/30/2020] [Indexed: 01/30/2023]
Abstract
Emu and other ratites are more informative than any other birds in reconstructing the evolution of the ancestral avian or vertebrate karyotype because of their much slower rate of genome evolution. Here, we generated a new chromosome-level genome assembly of a female emu, and estimated the tempo of chromosome evolution across major avian phylogenetic branches, by comparing it to chromosome-level genome assemblies of 11 other bird and one turtle species. We found ratites exhibited the lowest numbers of intra- and inter-chromosomal changes among birds since their divergence with turtles. The small-sized and gene-rich emu microchromosomes have frequent inter-chromosomal contacts that are associated with housekeeping genes, which appears to be driven by clustering their centromeres in the nuclear interior, away from the macrochromosomes in the nuclear periphery. Unlike nonratite birds, only less than one-third of the emu W Chromosome regions have lost homologous recombination and diverged between the sexes. The emu W is demarcated into a highly heterochromatic region (WS0) and another recently evolved region (WS1) with only moderate sequence divergence with the Z Chromosome. WS1 has expanded its inactive chromatin compartment, increased chromatin contacts within the region, and decreased contacts with the nearby regions, possibly influenced by the spreading of heterochromatin from WS0. These patterns suggest that alteration of chromatin conformation comprises an important early step of sex chromosome evolution. Overall, our results provide novel insights into the evolution of avian genome structure and sex chromosomes in three-dimensional space.
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Affiliation(s)
- Jing Liu
- MOE Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China
- Department of Neuroscience and Developmental Biology, University of Vienna, Vienna 1090, Austria
| | - Zongji Wang
- MOE Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China
- Department of Neuroscience and Developmental Biology, University of Vienna, Vienna 1090, Austria
- Institute of Animal Sex and Development, Zhejiang Wanli University, Ningbo 315100, China
| | - Jing Li
- MOE Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China
| | - Luohao Xu
- Department of Neuroscience and Developmental Biology, University of Vienna, Vienna 1090, Austria
| | - Jiaqi Liu
- Wuhan Gooalgene Technology Company, Wuhan 430070, China
| | - Shaohong Feng
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China
| | - Chunxue Guo
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China
| | - Shengchan Chen
- Longteng Ecological Culture Company, Limited, Zhashui 711400, China
| | - Zhanjun Ren
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Jinpeng Rao
- Center for Reproductive Medicine, The 2nd Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310052, China
| | - Kai Wei
- Center for Reproductive Medicine, The 2nd Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310052, China
| | - Yuezhou Chen
- Jianzhou Poultry Industry Company, Limited, Yong'an 366000, China
| | - Erich D Jarvis
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, New York 10065, USA
- Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA
| | - Guojie Zhang
- China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Qi Zhou
- MOE Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China
- Department of Neuroscience and Developmental Biology, University of Vienna, Vienna 1090, Austria
- Center for Reproductive Medicine, The 2nd Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310052, China
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50
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