1.Metagenomic Analysis of Environmental Samples from Wildlife Rescue Station at Poyang Lake, China.
Jia LIU ; Xi Yan LI ; Wen Tao SONG ; Xiao Xu ZENG ; Hui LI ; Lei YANG ; Da Yan WANG
Biomedical and Environmental Sciences 2023;36(7):595-603
OBJECTIVE:
To improve the understanding of the virome and bacterial microbiome in the wildlife rescue station of Poyang Lake, China.
METHODS:
Ten smear samples were collected in March 2019. Metagenomic sequencing was performed to delineate bacterial and viral diversity. Taxonomic analysis was performed using the Kraken2 and Bracken methods. A maximum-likelihood tree was constructed based on the RNA-dependent RNA polymerase (RdRp) region of picornavirus.
RESULTS:
We identified 363 bacterial and 6 viral families. A significant difference in microbial and viral abundance was found between samples S01-S09 and S10. In S01-S09, members of Flavobacteriia and Gammaproteobacteria were the most prevalent, while in S10, the most prevalent bacteria class was Actinomycetia. Among S01-S09, members of Myoviridae and Herelleviridae were the most prevalent, while the dominant virus family of S10 was Picornaviridae. The full genome of the pigeon mesivirus-like virus (NC-BM-233) was recovered from S10 and contained an open reading frame of 8,124 nt. It showed the best hit to the pigeon mesivirus 2 polyprotein, with 84.10% amino acid identity. Phylogenetic analysis showed that RdRp clustered into Megrivirus B.
CONCLUSION
This study provides an initial assessment of the bacteria and viruses in the cage-smeared samples, broadens our knowledge of viral and bacterial diversity, and is a way to discover potential pathogens in wild birds.
Animals
;
Animals, Wild/genetics*
;
Lakes
;
Phylogeny
;
Picornaviridae/genetics*
;
Viruses/genetics*
;
China
;
Metagenomics
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Genome, Viral
2.Genome sequence analysis of two SARS-CoV-2 virus infections in Inner Mongolia, 2022.
Guo Qing YANG ; Chao MIN ; Jian SONG ; Xiao Feng JIANG ; Hua YUE ; Xiao Wei NAN ; Zhen YAN ; Ai Tao LU ; Yan HAI ; Zhan Song ZHU
Chinese Journal of Preventive Medicine 2023;57(10):1630-1634
The target gene sequences of the novel coronaviruses obtained by sequencing were compared with the reference sequences to analyze the genetic variation of the two cases of the novel coronaviruses from Inner Mongolia Autonomous Region in 2022 and to explore the sources of infection. The results showed that the two sequences belonged to different evolutionary branches, Delta (AY.122) and Omicron (BA.1.1), respectively. hCoV-19/Inner Mongolia/IVDC-591/2022 had 48 single nucleotide polymorphisms on the genome sequences, sharing 40 nucleotide mutation sites with a Mongolian strain; hCoV-19/Inner Mongolia/IVDC-592/2022 genome shared 57 nucleotide mutation sites with a UK strain, and the nucleotide mutation site identity was 100% (57/57). Phylogenetic analysis showed that the target gene sequences were not directly related to domestic novel coronavirus sequences during the same period, but were related to isolates from Europe and Mongolia.
Humans
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COVID-19
;
SARS-CoV-2/genetics*
;
Phylogeny
;
Genome, Viral
;
Nucleotides
;
Sequence Analysis
3.Genome sequence analysis of two SARS-CoV-2 virus infections in Inner Mongolia, 2022.
Guo Qing YANG ; Chao MIN ; Jian SONG ; Xiao Feng JIANG ; Hua YUE ; Xiao Wei NAN ; Zhen YAN ; Ai Tao LU ; Yan HAI ; Zhan Song ZHU
Chinese Journal of Preventive Medicine 2023;57(10):1630-1634
The target gene sequences of the novel coronaviruses obtained by sequencing were compared with the reference sequences to analyze the genetic variation of the two cases of the novel coronaviruses from Inner Mongolia Autonomous Region in 2022 and to explore the sources of infection. The results showed that the two sequences belonged to different evolutionary branches, Delta (AY.122) and Omicron (BA.1.1), respectively. hCoV-19/Inner Mongolia/IVDC-591/2022 had 48 single nucleotide polymorphisms on the genome sequences, sharing 40 nucleotide mutation sites with a Mongolian strain; hCoV-19/Inner Mongolia/IVDC-592/2022 genome shared 57 nucleotide mutation sites with a UK strain, and the nucleotide mutation site identity was 100% (57/57). Phylogenetic analysis showed that the target gene sequences were not directly related to domestic novel coronavirus sequences during the same period, but were related to isolates from Europe and Mongolia.
Humans
;
COVID-19
;
SARS-CoV-2/genetics*
;
Phylogeny
;
Genome, Viral
;
Nucleotides
;
Sequence Analysis
4.Comprehensive analysis of RNA-seq and whole genome sequencing data reveals no evidence for SARS-CoV-2 integrating into host genome.
Yu-Sheng CHEN ; Shuaiyao LU ; Bing ZHANG ; Tingfu DU ; Wen-Jie LI ; Meng LEI ; Yanan ZHOU ; Yong ZHANG ; Penghui LIU ; Yong-Qiao SUN ; Yong-Liang ZHAO ; Ying YANG ; Xiaozhong PENG ; Yun-Gui YANG
Protein & Cell 2022;13(5):379-385
6.Analysis of the whole genome traceability and transmission path simulation experiment of the local cluster COVID-19 epidemic.
Yun SONG ; Shi Dong LU ; Xiao HU ; Bi Cong WU ; Wei FAN ; Hong Xia MA ; Ying YE ; Dong Xiao LI ; Yi LI ; Bai Fan ZHANG ; Sheng ZHAO ; Hai Yan WEI ; Jing Jing PAN ; Da Cheng GUO ; Dong Yang ZHAO ; Wan Shen GUO ; Xue Yong HUANG
Chinese Journal of Preventive Medicine 2022;56(12):1795-1802
Objective: To trace and characterize the whole genome of SARS-CoV-2 of confirmed cases in the outbreak of COVID-19 on July 31, 2021 in Henan Province. Method: Genome-wide sequencing and comparative analysis were performed on positive nucleic acid samples of SARS-CoV-2 from 167 local cases related to the epidemic on July 31, 2021, to analyze the consistency and evolution of the whole genome sequence of virus. Results: Through high-throughput sequencing, a total of 106 cases of SARS-CoV-2 whole genome sequences were obtained. The results of genome analysis showed that the whole genome sequences of 106 cases belonged to the VOC/Delta variant strain (B.1.617.2 clade), and the whole genome sequences of 106 cases were shared with the genomes of 3 imported cases from Myanmar admitted to a hospital in Zhengzhou. On the basis of 45 nucleotide sites, 1-5 nucleotide variation sites were added, and the genome sequence was highly homologous. Conclusion: Combined with the comprehensive analysis of viral genomics, transmission path simulation experiments and epidemiology, it is determined that the local new epidemic in Henan Province is caused by imported cases in the nosocomial area, and the spillover has caused localized infection in the community. At the same time, it spills over to some provincial cities and results in localized clustered epidemics.
Humans
;
COVID-19
;
SARS-CoV-2/genetics*
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Genome, Viral
;
Epidemics
;
Phylogeny
7.Analysis on the sequence mutation and evolution of HBV genome in China.
Yong Hao GUO ; Qiao Hua DOU ; Qian LIU ; Jian Hua YANG ; Yuan Yu LYU ; Da Xing FENG ; Ming Hua SENG ; Yan Yang ZHANG ; Dong Yang ZHAO
Chinese Journal of Epidemiology 2022;43(8):1309-1314
Objective: To understand immune escape mutation, drug resistance mutation, and genome evolution information of HBV genome sequence in China. Methods: The whole genome sequence information of HBV in China submitted in GenBank from 1998 to 2021 was selected as the object for analysis. MAFFT method was used for cluster analysis. Analysis of immune escape and drug-resistant mutations was performed using the online tool Gen2pheno. The BEAST 1.10.4 was used for analysis the time evolution of HBV sequences. Results: A total of 5 426 sequences were included in the dataset and distributed in 19 provinces of China. Type C accounted for the highest proportion (59.1%, 3 211/5 426), followed by type B (33.7%, 1 833/5 426). Immune escape mutations were found in 764 sequences (14.1%, 764/5 426). At least one reverse transcriptase region mutation occurred in 98.1% of the sequences. The evolutionary roots of most HBV sequences in China date from around 1801 AD. Conclusion: HBV-resistant mutation rate is high in China. HBV genomes evolve slowly.
China/epidemiology*
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DNA, Viral/genetics*
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Drug Resistance, Viral/genetics*
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Genome, Viral
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Genotype
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Hepatitis B virus/genetics*
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Humans
;
Mutation
8.SARS-CoV-2 with transcription regulatory sequence motif mutation poses a greater threat.
Jin Long BEI ; Guo Feng XU ; Jia CHANG ; Xin Yu WANG ; Dong An QIU ; Ji Shou RUAN ; Xin LI ; Shan GAO
Journal of Southern Medical University 2022;42(3):399-404
OBJECTIVE:
To analyze the mutations in transcription regulatory sequences (TRSs) of coronaviruss (CoV) to provide the basis for exploring the patterns of SARS-CoV-2 transmission and outbreak.
METHODS:
A combined evolutionary and molecular functional analysis of all sets of publicly available genomic data of viruses was performed.
RESULTS:
A leader transcription regulatory sequence (TRS-L) usually comprises the first 60-70 nts of the 5' UTR in a CoV genome, and the body transcription regulatory sequences (TRS-Bs) are located immediately upstream of the genes other than ORF1a and 1b. In each CoV genome, the TRS-L and TRS-Bs share a specific consensus sequence, namely the TRS motif. Any changes of nucleotide residues in the TRS motifs are defined as TRS motif mutations. Mutations in the TRS-L or multiple TRS-Bs result in superattenuated variants. The spread of super-attenuated variants may cause an increase in asymptomatic or mild infections, prolonged incubation periods and a decreased detection rate of the viruses, thus posing new challenges to SARS-CoV-2 prevention and control. The super-attenuated variants also increase their possibility of long-term coexistence with humans. The Delta variant is significantly different from all the previous variants and may lead to a large-scale transmission. The Delta variant (B.1.617.2) with TRS motif mutation has already appeared and shown signs of spreading in Singapore, which, and even the Southeast Asia, may become the new epicenter of the next wave of SARS-CoV-2 outbreak.
CONCLUSION
TRS motif mutation will occur in all variants of SARS-CoV-2 and may result in super-attenuated variants. Only super-attenuated variants with TRS motif mutations will eventually lose the abilities of cross-species transmission and causing outbreaks.
COVID-19/virology*
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Genome, Viral
;
Humans
;
Mutation
;
SARS-CoV-2/genetics*
9.Full-Length Genome Sequencing of SARS-CoV-2 Directly from Clinical and Environmental Samples Based on the Multiplex Polymerase Chain Reaction Method.
Pei Hua NIU ; Xiang ZHAO ; Rou Jian LU ; Li ZHAO ; Bao Ying HUANG ; Fei YE ; Da Yan WANG ; Wen Jie TAN
Biomedical and Environmental Sciences 2021;34(9):725-728
10.A Longitudinal Survey for Genome-based Identification of SARS-CoV-2 in Sewage Water in Selected Lockdown Areas of Lahore City, Pakistan: A Potential Approach for Future Smart Lockdown Strategy.
Yaqub TAHIR ; Nawaz MUHAMMAD ; Z Shabbir MUHAMMAD ; A Ali MUHAMMAD ; Altaf IMRAN ; Raza SOHAIL ; A B Shabbir MUHAMMAD ; A Ashraf MUHAMMAD ; Z Aziz SYED ; Q Cheema SOHAIL ; B Shah MUHAMMAD ; Rafique SAIRA ; Hassan SOHAIL ; Sardar NAGEEN ; Mehmood ADNAN ; W Aziz MUHAMMAD ; Fazal SEHAR ; Hussain NADIR ; T Khan MUHAMMAD ; M Atique MUHAMMAD ; Asif ALI ; Anwar MUHAMMAD ; A Awan NABEEL ; U Younis MUHAMMAD ; A Bhattee MUHAMMAD ; Tahir ZARFISHAN ; Mukhtar NADIA ; Sarwar HUDA ; S Rana MAAZ ; Farooq OMAIR
Biomedical and Environmental Sciences 2021;34(9):729-733

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