Landscape determinants of fine-scale genetic structure of a small rodent in a heterogeneous landscape (Hluhluwe-iMfolozi Park, South Africa)

被引:18
作者
Russo, Isa-Rita M. [1 ]
Sole, Catherine L. [2 ]
Barbato, Mario [1 ,4 ]
von Bramann, Ullrich [3 ]
Bruford, Michael W. [1 ]
机构
[1] Cardiff Univ, Cardiff Sch Biosci, Sir Martin Evans Bldg,Museum Ave, Cardiff CF10 3AX, S Glam, Wales
[2] Univ Pretoria, Dept Zool & Entomol, Private Bag X20, ZA-0028 Hatfield, South Africa
[3] Tech Univ Carolo Wilhelmina Braunschweig, Inst Geosyst & Bioindikat, Langer Kamp 19c, D-38106 Braunschweig, Germany
[4] Univ Cattolica Sacro Cuore, Ist Zootecn, Via Emilia Parmense 84, I-29122 Piacenza, Italy
基金
新加坡国家研究基金会;
关键词
MASTOMYS-NATALENSIS; MODEL SELECTION; FLOW; DISPERSAL; INFERENCE; CONNECTIVITY; POPULATIONS; CRICETIDAE; SOFTWARE; PATTERNS;
D O I
10.1038/srep29168
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Small mammals provide ecosystem services, acting, for example, as pollinators and seed dispersers. In addition, they are also disease reservoirs that can be detrimental to human health and they can also act as crop pests. Knowledge of their dispersal preferences is therefore useful for population management and landscape planning. Genetic data were used alongside landscape data to examine the influence of the landscape on the demographic connectedness of the Natal multimammate mouse (Mastomys natalensis) and to identify landscape characteristics that influence the genetic structure of this species across a spatially and temporally varying environment. The most significant landscape features shaping gene flow were aspect, vegetation cover, topographic complexity (TC) and rivers, with western facing slopes, topographic complexity and rivers restricting gene flow. In general, thicket vegetation was correlated with increased gene flow. Identifying features of the landscape that facilitate movement/dispersal in M. natalensis potentially has application for other small mammals in similar ecosystems. As the primary reservoir host of the zoonotic Lassa virus, a landscape genetics approach may have applications in determining areas of high disease risk to humans. Identifying these landscape features may also be important in crop management due to damage by rodent pests.
引用
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页数:14
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