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      Invasive potential of cattle fever ticks in the southern United States

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          Abstract

          Abstract'
          Background

          For >100 years cattle production in the southern United States has been threatened by cattle fever. It is caused by an invasive parasite-vector complex that includes the protozoan hemoparasites Babesia bovis and B. bigemina, which are transmitted among domestic cattle via Rhipicephalus tick vectors of the subgenus Boophilus. In 1906 an eradication effort was started and by 1943 Boophilus ticks had been confined to a narrow tick eradication quarantine area (TEQA) along the Texas-Mexico border. However, a dramatic increase in tick infestations in areas outside the TEQA over the last decade suggests these tick vectors may be poised to re-invade the southern United States. We investigated historical and potential future distributions of climatic habitats of cattle fever ticks to assess the potential for a range expansion.

          Methods

          We built robust spatial predictions of habitat suitability for the vector species Rhipicephalus (Boophilus) microplus and R. (B.) annulatus across the southern United States for three time periods: 1906, present day (2012), and 2050. We used analysis of molecular variance (AMOVA) to identify persistent tick occurrences and analysis of bias in the climate proximate to these occurrences to identify key environmental parameters associated with the ecology of both species. We then used ecological niche modeling algorithms GARP and Maxent to construct models that related known occurrences of ticks in the TEQA during 2001–2011 with geospatial data layers that summarized important climate parameters at all three time periods.

          Results

          We identified persistent tick infestations and specific climate parameters that appear to be drivers of ecological niches of the two tick species. Spatial models projected onto climate data representative of climate in 1906 reproduced historical pre-eradication tick distributions. Present-day predictions, although constrained to areas near the TEQA, extrapolated well onto climate projections for 2050.

          Conclusions

          Our models indicate the potential for range expansion of climate suitable for survival of R. microplus and R. annulatus in the southern United States by mid-century, which increases the risk of reintroduction of these ticks and cattle tick fever into major cattle producing areas.

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          Most cited references56

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          The Community Climate System Model Version 3 (CCSM3)

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            The GARP modelling system: problems and solutions to automated spatial prediction

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              ECOLOGICAL-NICHE FACTOR ANALYSIS: HOW TO COMPUTE HABITAT-SUITABILITY MAPS WITHOUT ABSENCE DATA?

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                Author and article information

                Contributors
                Journal
                Parasit Vectors
                Parasit Vectors
                Parasites & Vectors
                BioMed Central
                1756-3305
                2014
                17 April 2014
                : 7
                : 189
                Affiliations
                [1 ]Center for Microbial Genetics and Genomics, Northern Arizona University, PO Box 4073, Flagstaff, AZ 86011, USA
                [2 ]Biodiversity Institute, University of Kansas, Lawrence, KS 66045, USA
                [3 ]USDA,ARS, Knipling-Bushland United States Livestock Insects Research Laboratory, 2700 Fredericksburg Rd Kerrville, TX 78028, USA
                [4 ]USDA, ARS, Animal Diseases Research Unit, Washington State University, Pullman, WA 99164, USA
                [5 ]USDA, ARS, Cattle Fever Tick Research Laboratory, Moore Air Base, Building 6419, 22675 N Moorefield Rd, Edinburg, TX 78541, USA
                Article
                1756-3305-7-189
                10.1186/1756-3305-7-189
                4021724
                24742062
                fd6e100d-ca6f-4199-9200-d9ccf2022354
                Copyright © 2014 Giles et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 11 December 2013
                : 5 April 2014
                Categories
                Research

                Parasitology
                Parasitology

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