scholarly journals Does melanin-based plumage coloration reflect health status of free-living birds in urban environments?

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Hani Amir Aouissi ◽  
Mostefa Ababsa ◽  
Aissam Gaagai ◽  
Zihad Bouslama ◽  
Yassine Farhi ◽  
...  

Abstract Background Ecological functions and processes in urban ecosystems are governed by various human activities. City-adapted and city-exploiting animal species are expected to present certain specific behavioral and physiological traits in comparison to city-avoiders or conspecific individual frequenting less urbanized or rural environments. A trait of high importance, the plumage color polymorphism has been selected as the main study model and was correlated with different morphological and physiological parameters to highlight its importance in determining the possible health status of urban Feral Pigeons (Columba livia) in North African urban habitats. Methods Different body morphometrics, hematological and hemoparasitic parameters were quantified on free-living Feral Pigeons in urban environments of northern Algeria. Moreover, plumage melanin-based coloration (MBC) was measured and the data collected at the individual scale was correlated with the previous parameters using linear and non-linear modeling approaches. Results Plumage MBC scores of the sampled Feral Pigeons ranged between 0.3% and 74.8%. Among the 12 morphological traits measured, body weight, tail length and total length were deemed to be positively correlated with MBC. Darker morphs appeared to have more hemoparasites compared to lighter pigeons. Quite the same observation goes with the immunity but with non-linear trends. The number of monocytes and granulocytes increased with the increase in MBC levels in lighter morphs, while pigeons with high MBC scores exhibited negative relationships between MBC levels and the number of white blood cells. Conclusions Despite the existence of a number of studies demonstrating phenotypic directional selection, further studies are undoubtedly necessary to understand in detail the underlying mechanisms in species life-history strategies between differently colored individuals. Findings of this correlative study open exciting perspectives revealing that MBC can be considered a good indicator of and health status and adaptation strategies to changes in urban environments.

2018 ◽  
Vol 85 (0) ◽  
Author(s):  
Ruben Horn Vasconcelos ◽  
Régis Siqueira de Castro Teixeira ◽  
Isaac Neto Goes da Silva ◽  
Elisângela de Souza Lopes ◽  
William Cardoso Maciel

ABSTRACT: This study aimed to review the scientific literature for information about free-living pigeons (Columba livia) as potential reservoirs of Salmonella sp. and Escherichia coli. Rock doves are currently adapted to the urban environment and distributed all over the world. These birds carry microorganisms that are pathogenic for man and other animals, such as bacteria, viruses, fungi and parasites. Among these microorganisms, Salmonella is a pathogenic genus that cause severe economic losses and it is zoonotic, causing foodborne infections in humans. In addition, Escherichia coli is an worrisome species involved in the poultry industry. However, this micro-organism is also a risk to the public health, considering pathotypes that are known to cause diseases in man have been isolated from feral pigeons. The infections caused by these bacteria depend on virulence factors that provide the necessary tools to develop the disease. These factors are encoded by genes that may be found in pathogenicity islands inside the bacterial genome. In addition, pigeons may harbor antimicrobial-resistant bacteria, which may pass this characteristic to other strains, and present a risk to the public health as well. In conclusion, pigeons are reservoirs of strains of Salmonella sp. and Escherichia coli that may present high levels of resistance to antibiotics.


2004 ◽  
Vol 52 (2) ◽  
pp. 219-226 ◽  
Author(s):  
Alenka Dovč ◽  
Olga Zorman-Rojs ◽  
Aleksandra Vergles Rataj ◽  
Vojka Bole-Hribovšek ◽  
U. Krapež ◽  
...  

In the year 2000 an epidemiological research was undertaken on the health status of free-living pigeons in the city of Ljubljana, Slovenia. A total of 139 pigeons were captured and examined for the most common bacterial, viral, and parasitic diseases. Serum samples, oropharyngeal and cloacal swabs as well as samples of droppings and feathers were taken from the captured birds. Antibodies to paramyxovirus type 1 were found in 84.2% of the sera examined, and 23.7% of birds were serologically positive to Chlamydophila psittaci. Antibodies to avian influenza virus were not detected. Salmonella spp. were isolated from 5.7% of the cloacal swabs. Trichomonas gallinae was clinically suspected and then microscopically confirmed using oropharyngeal swabs in 7.9% of examined birds. Eimeria spp. was identified in 71.9%, Capillaria sp. in 26.6% and Ascaridia columbae in 4.3% of droppings samples examined. Of the ectoparasites, Columbicola columbae and Campanulotesbidentatus compar were found.


2018 ◽  
Vol 38 (11) ◽  
pp. 2150-2154 ◽  
Author(s):  
Ruben V. Horn ◽  
Windleyanne G.A. Bezerra ◽  
Elisângela S. Lopes ◽  
Régis S.C. Teixeira ◽  
Isaac N.G. Silva ◽  
...  

ABSTRACT: This study aimed to isolate Escherichia coli and Salmonella enterica from captured feral pigeons in Fortaleza, Brazil, and, in addition to evaluate the antimicrobial susceptibility profiles and diagnose diarrheagenic E. coli strains. Pigeons were captured in four public locations in Fortaleza with three techniques. Individual cloacal swab samples were collected and submitted to bacterial isolation, biochemical identification and antimicrobial susceptibility test. Disk diffusion technique was used with twelve antibiotics. E. coli strains were submitted to DNA extraction followed by PCR to diagnose five diarrheagenic pathotypes. A total of 124 birds were captured. One bird was positive for Salmonella enterica (0.81%) and 121 (97.58%) were positive for E. coli. Among these, 110 isolates were submitted to antimicrobial susceptibility test and 28.18% (31/110) presented resistance to at least one antibiotic. Resistance to azithromycin was the most frequent (21.82%), followed by tetracycline (10.91%) and sulfamethoxazole with trimethoprim (8.9%). Multidrug resistance, calculated as a resistance to at least 3 antimicrobial classes, was identified in 3.64% (4/110) of strains. The maximum number of antimicrobial classes to which one strain was resistant was seven. Results demonstrated nine different resistance profiles and the most frequent was tetracycline and sulfamethoxazole with trimethoprim (4 strains), followed by chloramphenicol, azithromycin, tetracycline and sulfamethoxazole with trimethoprim (3 strains). Amoxicillin with clavulanic acid and tobramycin presented lowest levels of antimicrobial resistance, to which none of the tested strains were resistant. A single strain was positive for the eltB gene, which is a diagnostic tool to identify the Enterotoxigenic E. coli (ETEC) pathotype. None of the other investigated genes (stx1, stx2, estA, eaeA, ipaH, aatA and aaiC) were identified. The single isolate of S. enterica was a rough strain of Salmonella enterica subsp. enterica, but serotype identification was not possible. However, this isolate presented resistance to amoxicillin, amoxicillin with clavulanic acid, tetracycline and sulfamethoxazole with trimethoprim. Therefore, captured feral pigeons of Fortaleza presented a low prevalence of S. enterica and diarrheagenic E. coli. Considering the investigated pathogens, our results suggest a good health status and a low public health risk. However, important antimicrobial resistance profiles were identified.


2014 ◽  
Author(s):  
Christian Scheiblegger ◽  
Nantu Roy ◽  
Orlando Silva Parez ◽  
Andrew Hillis ◽  
Peter Pfeffer ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Elzbieta Wisniewski ◽  
Wit Wisniewski

<p>The presented research examines what minimum combination of input variables are required to obtain state-of-the-art fractional snow cover (FSC) estimates for heterogeneous alpine-forested terrains. Currently, one of the most accurate FSC estimators for alpine regions is based on training an Artificial Neural Network (ANN) that can deconvolve the relationships among numerous compounded and possibly non-linear bio-geophysical relations encountered in alpine terrain. Under the assumption that the ANN optimally extracts available information from its input data, we can exploit the ANN as a tool to assess the contributions toward FSC estimation of each of the data sources, and combinations thereof. By assessing the quality of the modeled FSC estimates versus ground equivalent data, suitable combinations of input variables can be identified. High spatial resolution IKONOS images are used to estimate snow cover for ANN training and validation, and also for error assessment of the ANN FSC results. Input variables are initially chosen representing information already incorporated into leading snow cover estimators (ex. two multispectral bands for NDSI, etc.). Additional variables such as topographic slope, aspect, and shadow distribution are evaluated to observe the ANN as it accounts for illumination incidence and directional reflectance of surfaces affecting the viewed radiance in complex terrain. Snow usually covers vegetation and underlying geology partially, therefore the ANN also has to resolve spectral mixtures of unobscured surfaces surrounded by snow. Multispectral imagery if therefore acquired in the fall prior to the first snow of the season and are included in the ANN analyses for assessing the baseline reflectance values of the environment that later become modified by the snow. In this study, nine representative scenarios of input data are selected to analyze the FSC performance. Numerous selections of input data combinations produced good results attesting to the powerful ability of ANNs to extract information and utilize redundancy. The best ANN FSC model performance was achieved when all 15 pre-selected inputs were used. The need for non-linear modeling to estimate FSC was verified by forcing the ANN to behave linearly. The linear ANN model exhibited profoundly decreased FSC performance, indicating that non-linear processing more optimally estimates FSC in alpine-forested environments.</p>


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