|
1
|
Schlicht E, Kempenaers B. Age trajectories in extra-pair siring success suggest an effect of maturation or early-life experience. J Evol Biol 2023; 36:1213-1225. [PMID: 37438929 DOI: 10.1111/jeb.14201] [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: 01/25/2023] [Revised: 05/22/2023] [Accepted: 06/11/2023] [Indexed: 07/14/2023]
Abstract
Across birds, male age is the most consistent predictor of extra-pair siring success, yet little is known about age effects on paternity over the lifetime of individuals. Here, we use data from a 13-year study of a population of blue tits (Cyanistes caeruleus) to investigate how extra-pair siring success changes with age within individuals. Our results indicate that extra-pair siring success does not continuously increase with male age. Instead, siring success was related to male age in a threshold fashion, whereby yearling males were less likely to gain paternity than older males. This effect was independent of the age of the social partner, but influenced by the age of the extra-pair female: success of yearlings at siring extra-pair young (EPY) with older females was even lower. Among males that sired at least one EPY, the number of extra-pair mates and the proportion of EPY sired were unrelated to male age. We found no evidence for an influence of selective disappearance on extra-pair reproduction. Senescence, if anything, only occurs at ages blue tits rarely reach. A literature review indicates that an effect of male age on extra-pair siring success may be limited to the switch from yearling to older in many species. Thus, the generally observed age effect on male extra-pair siring success may be linked to age class rather than continuous ageing. This suggests that lack of experience or not fully completed maturation are important drivers of age patterns in extra-pair paternity.
Collapse
Affiliation(s)
- Emmi Schlicht
- Department of Ornithology, Max Planck Institute for Biological Intelligence, Seewiesen, Germany
| | - Bart Kempenaers
- Department of Ornithology, Max Planck Institute for Biological Intelligence, Seewiesen, Germany
| |
Collapse
|
|
2
|
Formenti N, Calò S, Parisio G, Guarneri F, Birbes L, Pitozzi A, Scali F, Tonni M, Guadagno F, Giovannini S, Salogni C, Ianieri A, Bellini S, Pasquali P, Alborali GL. ESBL/AmpC-Producing Escherichia coli in Wild Boar: Epidemiology and Risk Factors. Animals (Basel) 2021; 11:ani11071855. [PMID: 34206498 PMCID: PMC8300396 DOI: 10.3390/ani11071855] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 04/29/2021] [Revised: 06/10/2021] [Accepted: 06/20/2021] [Indexed: 11/16/2022] Open
Abstract
The complex health problem of antimicrobial resistance (AMR) involves many host species, numerous bacteria and several routes of transmission. Extended-spectrum β-lactamase and AmpC (ESBL/AmpC)-producing Escherichia coli are among the most important strains. Moreover, wildlife hosts are of interest as they are likely antibiotics free and are assumed as environmental indicators of AMR contamination. Particularly, wild boar (Sus scrofa) deserves attention because of its increased population densities, with consequent health risks at the wildlife-domestic-human interface, and the limited data available on AMR. Here, 1504 wild boar fecal samples were microbiologically and molecularly analyzed to investigate ESBL/AmpC-producing E. coli and, through generalized linear models, the effects of host-related factors and of human population density on their spread. A prevalence of 15.96% of ESBL/AmpC-producing E. coli, supported by blaCTX-M (12.3%), blaTEM (6.98%), blaCMY (0.86%) and blaSHV (0.47%) gene detection, emerged. Young animals were more colonized by ESBL/AmpC strains than older subjects, as observed in domestic animals. Increased human population density leads to increased blaTEM prevalence in wild boar, suggesting that spatial overlap may favor this transmission. Our results show a high level of AMR contamination in the study area that should be further investigated. However, a role of wild boar as a maintenance host of AMR strains emerged.
Collapse
Affiliation(s)
- Nicoletta Formenti
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”, Via Bianchi 7/9, 25124 Brescia, Italy; (S.C.); (G.P.); (F.G.); (L.B.); (A.P.); (F.S.); (M.T.); (F.G.); (S.G.); (C.S.); (S.B.); (G.L.A.)
- Correspondence:
| | - Stefania Calò
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”, Via Bianchi 7/9, 25124 Brescia, Italy; (S.C.); (G.P.); (F.G.); (L.B.); (A.P.); (F.S.); (M.T.); (F.G.); (S.G.); (C.S.); (S.B.); (G.L.A.)
| | - Giovanni Parisio
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”, Via Bianchi 7/9, 25124 Brescia, Italy; (S.C.); (G.P.); (F.G.); (L.B.); (A.P.); (F.S.); (M.T.); (F.G.); (S.G.); (C.S.); (S.B.); (G.L.A.)
| | - Flavia Guarneri
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”, Via Bianchi 7/9, 25124 Brescia, Italy; (S.C.); (G.P.); (F.G.); (L.B.); (A.P.); (F.S.); (M.T.); (F.G.); (S.G.); (C.S.); (S.B.); (G.L.A.)
| | - Laura Birbes
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”, Via Bianchi 7/9, 25124 Brescia, Italy; (S.C.); (G.P.); (F.G.); (L.B.); (A.P.); (F.S.); (M.T.); (F.G.); (S.G.); (C.S.); (S.B.); (G.L.A.)
| | - Alessandra Pitozzi
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”, Via Bianchi 7/9, 25124 Brescia, Italy; (S.C.); (G.P.); (F.G.); (L.B.); (A.P.); (F.S.); (M.T.); (F.G.); (S.G.); (C.S.); (S.B.); (G.L.A.)
| | - Federico Scali
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”, Via Bianchi 7/9, 25124 Brescia, Italy; (S.C.); (G.P.); (F.G.); (L.B.); (A.P.); (F.S.); (M.T.); (F.G.); (S.G.); (C.S.); (S.B.); (G.L.A.)
| | - Matteo Tonni
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”, Via Bianchi 7/9, 25124 Brescia, Italy; (S.C.); (G.P.); (F.G.); (L.B.); (A.P.); (F.S.); (M.T.); (F.G.); (S.G.); (C.S.); (S.B.); (G.L.A.)
| | - Federica Guadagno
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”, Via Bianchi 7/9, 25124 Brescia, Italy; (S.C.); (G.P.); (F.G.); (L.B.); (A.P.); (F.S.); (M.T.); (F.G.); (S.G.); (C.S.); (S.B.); (G.L.A.)
| | - Stefano Giovannini
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”, Via Bianchi 7/9, 25124 Brescia, Italy; (S.C.); (G.P.); (F.G.); (L.B.); (A.P.); (F.S.); (M.T.); (F.G.); (S.G.); (C.S.); (S.B.); (G.L.A.)
| | - Cristian Salogni
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”, Via Bianchi 7/9, 25124 Brescia, Italy; (S.C.); (G.P.); (F.G.); (L.B.); (A.P.); (F.S.); (M.T.); (F.G.); (S.G.); (C.S.); (S.B.); (G.L.A.)
| | - Adriana Ianieri
- Dipartimento di Scienze degli Alimenti e del Farmaco, Università di Parma, Parco Area delle Scienze 27/A, 43124 Parma, Italy;
| | - Silvia Bellini
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”, Via Bianchi 7/9, 25124 Brescia, Italy; (S.C.); (G.P.); (F.G.); (L.B.); (A.P.); (F.S.); (M.T.); (F.G.); (S.G.); (C.S.); (S.B.); (G.L.A.)
| | - Paolo Pasquali
- Dipartimento di Sicurezza Alimentare, Nutrizione e Sanità Pubblica Veterinaria, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy;
| | - Giovanni Loris Alborali
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”, Via Bianchi 7/9, 25124 Brescia, Italy; (S.C.); (G.P.); (F.G.); (L.B.); (A.P.); (F.S.); (M.T.); (F.G.); (S.G.); (C.S.); (S.B.); (G.L.A.)
| |
Collapse
|
|
3
|
Hernández‐Salinas U, Ramírez‐Bautista A, Cruz‐Elizalde R, Meiri S, Berriozabal‐Islas C. Ecology of the growth of Anolis nebulosus (Squamata: Dactyloidae) in a seasonal tropical environment in the Chamela region, Jalisco, Mexico. Ecol Evol 2019; 9:2061-2071. [PMID: 30847092 PMCID: PMC6392371 DOI: 10.1002/ece3.4899] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [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: 04/06/2018] [Revised: 12/05/2018] [Accepted: 12/13/2018] [Indexed: 12/03/2022] Open
Abstract
Juvenile growth rates are thought to be restricted by available food resources. In animals that grow throughout the year, such as tropical lizards, growth is therefore predicted to be faster during the rainy season. We test this prediction using a population of Anolis nebulosusby describing the growth trajectories of both sexes using nonlinear regression models, and we then correlate the growth rates of individuals with food available in the environment, precipitation, and temperature. The Von Bertalanffy model fits the growth rates of the females better, while the logistic-by-length model fits the males better. According to both models, the males grew faster than females, reaching slightly smaller sizes at adulthood. Males reached sexual maturity when 35 mm long, at an age of seven months, and females matured at 37 mm (SVL), taking nine months to reach this size. In 1989, juvenile males and females grew more in both seasons (rainy and dry) than adults; for 1990, there were no differences by season or between age classes. These results are interesting since in the 1989 and 1990 rainy seasons, practically the same orders of prey and the greatest abundance of prey available in the environment were registered. A possible explanation could be that predation was more intense in 1990 than in 1989. There is little evidence that food, temperature, and humidity affect growth rates of A. nebulosus, refuting our predictions. This is mainly due to the low variation in growth observed in 1990. Therefore we think that the growth of this species reflects a complex combination of ecological and genetic factors.
Collapse
Affiliation(s)
- Uriel Hernández‐Salinas
- Instituto Politécnico NacionalCentro Interdisciplinario de Investigación para el Desarrollo Integral Regional (CIIDIR) Unidad DurangoDurangoMéxico
| | - Aurelio Ramírez‐Bautista
- Laboratorio de Ecología de Poblaciones, Centro de Investigaciones Biológicas, Instituto de Ciencias Básicas e IngenieríaUniversidad Autónoma del Estado de HidalgoMineral de La ReformaMéxico
| | - Raciel Cruz‐Elizalde
- Laboratorio de Ecología de Poblaciones, Centro de Investigaciones Biológicas, Instituto de Ciencias Básicas e IngenieríaUniversidad Autónoma del Estado de HidalgoMineral de La ReformaMéxico
| | - Shai Meiri
- School of ZoologyTel Aviv UniversityTel AvivIsrael
- Steinhardt Museum for Natural HistoryTel Aviv UniversityTel AvivIsrael
| | - Christian Berriozabal‐Islas
- Laboratorio de Ecología de Poblaciones, Centro de Investigaciones Biológicas, Instituto de Ciencias Básicas e IngenieríaUniversidad Autónoma del Estado de HidalgoMineral de La ReformaMéxico
| |
Collapse
|
|
4
|
Carey JR, Müller HG, Wang JL, Papadopoulos NT, Diamantidis A, Koulousis NA. Graphical and demographic synopsis of the captive cohort method for estimating population age structure in the wild. Exp Gerontol 2012; 47:787-91. [PMID: 22776134 PMCID: PMC4177107 DOI: 10.1016/j.exger.2012.06.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [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: 02/13/2012] [Revised: 06/18/2012] [Accepted: 06/28/2012] [Indexed: 10/28/2022]
Abstract
The purpose of this paper is to complement the literature concerned with the captive cohort method for estimating age structure including (1) graphic techniques to visualize and thus better understand the underlying life table identity in which the age structure of a stationary population equals the time-to-death distribution of the individuals within it; (2) re-derive the basic model for estimating age structure in non-stationary population in demographic rather than statistical notation; and (3) describe a simplified method for estimating changes in the mean age of a wild population.
Collapse
Affiliation(s)
- James R Carey
- Department of Entomology, University of California, Davis, CA 95616, USA.
| | | | | | | | | | | |
Collapse
|