1
|
Tian P, Wang L, Li Q, Liang C, She D, Liu S, Chen Y, Yao L, Wang W, Wang H, Wang W. Feasibility of urban bird occurrence and nest amount evaluation by the street-view image virtual survey. Proc Biol Sci 2023; 290:20230406. [PMID: 37072036 PMCID: PMC10113023 DOI: 10.1098/rspb.2023.0406] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 03/21/2023] [Indexed: 04/20/2023] Open
Abstract
Bird observation mainly relies on field surveys, which are time-consuming and laborious. In this study, we explored using street-view images in the virtual survey of urban birds and nests. Using the coastal city of Qingdao as the study area, 47 201 seamless spherical photos at 2741 sites were collected using the Baidu street-view (BSV) map. Single-rater-all photo checks and seven-rater-metapopulation checks were used to find inter-rater repeatability, the best viewing layer for BSV collection, and possible environments affecting the results. We also collected community science data for comparison. The BSV time machine was used to assess the temporal dynamics. Kappa square test, generalized linear model, redundancy ordination and ArcMap were used in the analysis. Different rater repeatability was 79.1% in nest evaluations and 46.9% in bird occurrence. A re-check of the different-rating photos can increase them to 92% and 70%. Seven-rater statistics showed that more than 5% sampling ratio could produce a non-significant different bird and nest percentage of the whole data, and the higher sampling ratio could reduce the variation. The middle-viewing layer survey alone could produce 93% precision of the nest checks by saving 2/3 of the time used; in birds, selecting middle and upper-view photos could find 97% of bird occurrences. In the spatial distribution, the nest's hotspot areas from this method were much greater than the community science bird-watching sites. The BSV time machine made it possible to re-check nests in the same sites but challenging the re-check of bird occurrences. The nests and birds can be observed more in the leafless season, on wide, traffic-dense coastal streets with complex vertical structures of trees, and in the gaps of tall buildings dominated by road forests. Our results indicate that BSV photos could be used to virtually evaluate bird occurrence and nests from their numbers, spatial distribution and temporal dynamics. This method provides a pre-experimental and informative supplement to large-scale bird occurrence and nest abundance surveys in urban environments.
Collapse
Affiliation(s)
- Panli Tian
- Key Laboratory of Forest Plant Ecology, Northeast Forestry University, Harbin 150040, People's Republic of China
| | - Lei Wang
- Key Laboratory of Forest Plant Ecology, Northeast Forestry University, Harbin 150040, People's Republic of China
| | - Qi Li
- Key Laboratory of Forest Plant Ecology, Northeast Forestry University, Harbin 150040, People's Republic of China
| | - Chentao Liang
- Key Laboratory of Forest Plant Ecology, Northeast Forestry University, Harbin 150040, People's Republic of China
| | - Danqi She
- Key Laboratory of Forest Plant Ecology, Northeast Forestry University, Harbin 150040, People's Republic of China
| | - Siyu Liu
- State Key Laboratory of Subtropical Silviculture, College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, People's Republic of China
| | - Yuwen Chen
- Key Laboratory of Forest Plant Ecology, Northeast Forestry University, Harbin 150040, People's Republic of China
| | - Liuyang Yao
- Key Laboratory of Forest Plant Ecology, Northeast Forestry University, Harbin 150040, People's Republic of China
| | - Weiqi Wang
- School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Huimei Wang
- State Key Laboratory of Subtropical Silviculture, College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, People's Republic of China
| | - Wenjie Wang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Science, Changchun 130102, People's Republic of China
- State Key Laboratory of Subtropical Silviculture, College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, People's Republic of China
| |
Collapse
|
2
|
Ramos-Martínez IE, Ramos-Martínez E, Segura-Velázquez RÁ, Saavedra-Montañez M, Cervantes-Torres JB, Cerbón M, Papy-Garcia D, Zenteno E, Sánchez-Betancourt JI. Heparan Sulfate and Sialic Acid in Viral Attachment: Two Sides of the Same Coin? Int J Mol Sci 2022; 23:ijms23179842. [PMID: 36077240 PMCID: PMC9456526 DOI: 10.3390/ijms23179842] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 08/26/2022] [Accepted: 08/27/2022] [Indexed: 12/11/2022] Open
Abstract
Sialic acids and heparan sulfates make up the outermost part of the cell membrane and the extracellular matrix. Both structures are characterized by being negatively charged, serving as receptors for various pathogens, and are highly expressed in the respiratory and digestive tracts. Numerous viruses use heparan sulfates as receptors to infect cells; in this group are HSV, HPV, and SARS-CoV-2. Other viruses require the cell to express sialic acids, as is the case in influenza A viruses and adenoviruses. This review aims to present, in a general way, the participation of glycoconjugates in viral entry, and therapeutic strategies focused on inhibiting the interaction between the virus and the glycoconjugates. Interestingly, there are few studies that suggest the participation of both glycoconjugates in the viruses addressed here. Considering the biological redundancy that exists between heparan sulfates and sialic acids, we propose that it is important to jointly evaluate and design strategies that contemplate inhibiting the interactions of both glycoconjugates. This approach will allow identifying new receptors and lead to a deeper understanding of interspecies transmission.
Collapse
Affiliation(s)
- Ivan Emmanuel Ramos-Martínez
- Departamento de Medicina y Zootecnia de Cerdos, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - Edgar Ramos-Martínez
- Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - René Álvaro Segura-Velázquez
- Unidad de Investigación, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - Manuel Saavedra-Montañez
- Departamento de Microbiología e Inmunología, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - Jacquelynne Brenda Cervantes-Torres
- Departamento de Microbiología e Inmunología, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - Marco Cerbón
- Unidad de Investigación en Reproducción Humana, Instituto Nacional de Perinatología-Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - Dulce Papy-Garcia
- Glycobiology, Cell Growth ant Tissue Repair Research Unit (Gly-CRRET), Université Paris Est Créteil (UPEC), F-94010 Créteil, France
| | - Edgar Zenteno
- Departamento de Bioquímica, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - José Ivan Sánchez-Betancourt
- Departamento de Medicina y Zootecnia de Cerdos, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
- Correspondence:
| |
Collapse
|
3
|
Ding L, Li J, Li X, Qu B. Evolutionary and Mutational Characterization of the First H5N8 Subtype Influenza A Virus in Humans. Pathogens 2022; 11:pathogens11060666. [PMID: 35745520 PMCID: PMC9227545 DOI: 10.3390/pathogens11060666] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 05/29/2022] [Accepted: 06/01/2022] [Indexed: 02/04/2023] Open
Abstract
Highly pathogenic influenza A virus H5 subtype remains a risk for transmission in humans. The H5N8 subtype has caused multiple outbreaks in poultry in Europe over the past few winters. During one recent outbreak in poultry in Astrakhan, workers on the farm were also infected. So far, little is known about how this virus evolves and adapts to infect humans. Here, we performed a time-resolved phylogenetic analysis of 129 HA sequences representing all 1891 available H5N8 viruses collected from 2010 to 2020. We also conducted a whole-genome scan on the human virus at the protein level. We found that H5N8 viruses have spilled over in 34 European countries during the flu season of 2020–2021. These viruses underwent two significant evolutionary steps during 2015–2016 and after 2018. Furthermore, we characterized a number of critical mutations in all viral proteins except PB1-F2, which contribute to increased virulence and avian-to-human adaptation. Our findings suggested that the accumulated mutations under evolution led to quantitative and qualitative changes, likely allowing the virus to spread to humans. Given that the H5N8 virus is co-circulating with other H5 viruses in Europe, the risk of a pandemic should not be underestimated. Continental surveillance and pandemic preparedness are to be established.
Collapse
Affiliation(s)
- Lin Ding
- Department of Cardiology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200240, China;
| | - Jie Li
- Department of Basic Medical Sciences & Forensic Medicine, Hangzhou Medical College, Hangzhou 310059, China;
| | - Xue Li
- Department of Internal Medicine III, University Hospital Heidelberg, 69120 Heidelberg, Germany;
| | - Bingqian Qu
- Department of Veterinary Medicine, Paul Ehrlich Institute, 63225 Langen, Germany
- European Virus Bioinformatics Center (EVBC), 07743 Jena, Germany
- Correspondence:
| |
Collapse
|
4
|
Gan SKE, Phua SX, Yeo JY. Sagacious epitope selection for vaccines, and both antibody-based therapeutics and diagnostics: tips from virology and oncology. Antib Ther 2022; 5:63-72. [PMID: 35372784 PMCID: PMC8972324 DOI: 10.1093/abt/tbac005] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 01/24/2022] [Accepted: 02/12/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
The target of an antibody plays a significant role in the success of antibody-based therapeutics and diagnostics, and vaccine development. This importance is focused on the target binding site—epitope, where epitope selection as a part of design thinking beyond traditional antigen selection using whole cell or whole protein immunization can positively impact success. With purified recombinant protein production and peptide synthesis to display limited/selected epitopes, intrinsic factors that can affect the functioning of resulting antibodies can be more easily selected for. Many of these factors stem from the location of the epitope that can impact accessibility of the antibody to the epitope at a cellular or molecular level, direct inhibition of target antigen activity, conservation of function despite escape mutations, and even non-competitive inhibition sites. By incorporating novel computational methods for predicting antigen changes to model-informed drug discovery and development, superior vaccines and antibody-based therapeutics or diagnostics can be easily designed to mitigate failures. With detailed examples, this review highlights the new opportunities, factors and methods of predicting antigenic changes for consideration in sagacious epitope selection.
Collapse
Affiliation(s)
- Samuel Ken-En Gan
- Antibody & Product Development Lab, EDDC-BII, Agency for Science, Technology and Research (A*STAR), Singapore 138672, Singapore
- APD SKEG Pte Ltd, Singapore 439444, Singapore
| | - Ser-Xian Phua
- Antibody & Product Development Lab, EDDC-BII, Agency for Science, Technology and Research (A*STAR), Singapore 138672, Singapore
| | - Joshua Yi Yeo
- Antibody & Product Development Lab, EDDC-BII, Agency for Science, Technology and Research (A*STAR), Singapore 138672, Singapore
| |
Collapse
|