Literature DB >> 24577352

The effect of ecological and temporal factors on the composition of Bartonella infection in rodents and their fleas.

Ricardo Gutiérrez1, Danny Morick1, Carmit Cohen2, Hadas Hawlena2, Shimon Harrus1.   

Abstract

The composition of Bartonella infection was explored in wild Gerbillus andersoni rodents and their Synosternus cleopatrae fleas. Rodent blood samples and fleas were collected in two periods (two different seasons; 4 months apart) from juveniles and adult hosts, and their bartonellae lineages were identified by a 454-pyrosequencing analysis targeting a specific Bartonella citrate synthase gene (gltA) fragment. The rate of Bartonella spp. co-infection was estimated and the assemblage and distribution of bartonellae lineages across the samples with respect to ecological and phylogenetic distance similarities were analyzed. Moreover, environmental factors that could explain potential differences between samples were investigated. Out of the 91 bartonellae-positive samples, 89% were found to be co-infected with more than two phylogenetically distant Bartonella genotypes and additional closely related (but distinguishable) variants. These bartonellae lineages were distributed in a non-random manner, and a negative interaction between lineages was discovered. Interestingly, the overall composition of those infections greatly varied among samples. This variability was partially explained by factors, such as type of sample (blood versus fleas), flea sex and period of collection. This investigation sheds light on the patterns of Bartonella infection and the organization of Bartonella lineages in fleas and rodents in nature.

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Year:  2014        PMID: 24577352      PMCID: PMC4817610          DOI: 10.1038/ismej.2014.22

Source DB:  PubMed          Journal:  ISME J        ISSN: 1751-7362            Impact factor:   10.302


  46 in total

1.  Longitudinal monitoring of the dynamics of infections due to Bartonella species in UK woodland rodents.

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3.  Building phylogenetic trees from molecular data with MEGA.

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4.  Prospective studies of Bartonella of rodents. Part II. Diverse infections in a single rodent community.

Authors:  Michael Kosoy; Eric Mandel; Douglas Green; Eric Marston; Dana Jones; James Childs
Journal:  Vector Borne Zoonotic Dis       Date:  2004       Impact factor: 2.133

5.  Differentiation of Bartonella-like isolates at the species level by PCR-restriction fragment length polymorphism in the citrate synthase gene.

Authors:  A F Norman; R Regnery; P Jameson; C Greene; D C Krause
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6.  Isolation and phylogenetic analysis of Bartonella species from wild carnivores of the suborder Caniformia in Japan.

Authors:  Shingo Sato; Hidenori Kabeya; Tatsuya Miura; Kazuo Suzuki; Ying Bai; Michael Kosoy; Hiroshi Sentsui; Hiroaki Kariwa; Soichi Maruyama
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Authors:  Susan M Huse; David Mark Welch; Hilary G Morrison; Mitchell L Sogin
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8.  Bartonella rattaustraliani sp. nov., Bartonella queenslandensis sp. nov. and Bartonella coopersplainsensis sp. nov., identified in Australian rats.

Authors:  Vijay A K B Gundi; Carmel Taylor; Didier Raoult; Bernard La Scola
Journal:  Int J Syst Evol Microbiol       Date:  2009-07-23       Impact factor: 2.747

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10.  Exotic small mammals as potential reservoirs of zoonotic Bartonella spp.

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  15 in total

1.  Prevalence and Phylogenetic Analysis of Bartonella Species of Wild Carnivores and Their Fleas in Northwestern Mexico.

Authors:  A M López-Pérez; L Osikowicz; Y Bai; J Montenieri; A Rubio; K Moreno; K Gage; G Suzán; M Kosoy
Journal:  Ecohealth       Date:  2017-02-14       Impact factor: 3.184

Review 2.  Bartonella infection in rodents and their flea ectoparasites: an overview.

Authors:  Ricardo Gutiérrez; Boris Krasnov; Danny Morick; Yuval Gottlieb; Irina S Khokhlova; Shimon Harrus
Journal:  Vector Borne Zoonotic Dis       Date:  2015-01       Impact factor: 2.133

3.  Association of Bartonella Species with Wild and Synanthropic Rodents in Different Brazilian Biomes.

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Journal:  Appl Environ Microbiol       Date:  2016-11-21       Impact factor: 4.792

4.  From endosymbionts to host communities: factors determining the reproductive success of arthropod vectors.

Authors:  Irit Messika; Mario Garrido; Hadar Kedem; Victor China; Yoni Gavish; Qunfeng Dong; Clay Fuqua; Keith Clay; Hadas Hawlena
Journal:  Oecologia       Date:  2017-07-18       Impact factor: 3.225

5.  Eco-epidemiology of Novel Bartonella Genotypes from Parasitic Flies of Insectivorous Bats.

Authors:  Attila D Sándor; Mihály Földvári; Aleksandra I Krawczyk; Hein Sprong; Alexandra Corduneanu; Levente Barti; Tamás Görföl; Péter Estók; Dávid Kováts; Sándor Szekeres; Zoltán László; Sándor Hornok; Gábor Földvári
Journal:  Microb Ecol       Date:  2018-04-29       Impact factor: 4.552

6.  Similarities and seasonal variations in bacterial communities from the blood of rodents and from their flea vectors.

Authors:  Carmit Cohen; Evelyn Toh; Daniel Munro; Qunfeng Dong; Hadas Hawlena
Journal:  ISME J       Date:  2015-01-09       Impact factor: 10.302

7.  Identification of different Bartonella species in the cattle tail louse (Haematopinus quadripertusus) and in cattle blood.

Authors:  Ricardo Gutiérrez; Liron Cohen; Danny Morick; Kosta Y Mumcuoglu; Shimon Harrus; Yuval Gottlieb
Journal:  Appl Environ Microbiol       Date:  2014-06-27       Impact factor: 4.792

8.  Association of host and microbial species diversity across spatial scales in desert rodent communities.

Authors:  Yoni Gavish; Hadar Kedem; Irit Messika; Carmit Cohen; Evelyn Toh; Daniel Munro; Qunfeng Dong; Clay Fuqua; Keith Clay; Hadas Hawlena
Journal:  PLoS One       Date:  2014-10-24       Impact factor: 3.240

9.  Path analyses of cross-sectional and longitudinal data suggest that variability in natural communities of blood-associated parasites is derived from host characteristics and not interspecific interactions.

Authors:  Carmit Cohen; Monica Einav; Hadas Hawlena
Journal:  Parasit Vectors       Date:  2015-08-19       Impact factor: 3.876

10.  16S rRNA Amplicon Sequencing for Epidemiological Surveys of Bacteria in Wildlife.

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Journal:  mSystems       Date:  2016-07-19       Impact factor: 6.496

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