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      Polyandry Is a Common Event in Wild Populations of the Tsetse Fly Glossina fuscipes fuscipes and May Impact Population Reduction Measures

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          Abstract

          Background

          Glossina fuscipes fuscipes is the main vector of human and animal trypanosomiasis in Africa, particularly in Uganda. Attempts to control/eradicate this species using biological methods require knowledge of its reproductive biology. An important aspect is the number of times a female mates in the wild as this influences the effective population size and may constitute a critical factor in determining the success of control methods. To date, polyandry in G.f. fuscipes has not been investigated in the laboratory or in the wild. Interest in assessing the presence of remating in Ugandan populations is driven by the fact that eradication of this species is at the planning stage in this country.

          Methodology/Principal Findings

          Two well established populations, Kabukanga in the West and Buvuma Island in Lake Victoria, were sampled to assess the presence and frequency of female remating. Six informative microsatellite loci were used to estimate the number of matings per female by genotyping sperm preserved in the female spermathecae. The direct count of the minimum number of males that transferred sperm to the spermathecae was compared to Maximum Likelihood and Bayesian probability estimates. The three estimates provided evidence that remating is common in the populations but the frequency is substantially different: 57% in Kabukanga and 33% in Buvuma.

          Conclusions/Significance

          The presence of remating, with females maintaining sperm from different mates, may constitute a critical factor in cases of re-infestation of cleared areas and/or of residual populations. Remating may enhance the reproductive potential of re-invading propagules in terms of their effective population size. We suggest that population age structure may influence remating frequency. Considering the seasonal demographic changes that this fly undergoes during the dry and wet seasons, control programmes based on SIT should release large numbers of sterile males, even in residual surviving target populations, in the dry season.

          Author Summary

          Glossina fuscipes fuscipes is the most common tsetse species in Uganda where it is responsible for transmitting Trypanosoma brucei rhodensiense and Trypanosoma brucei gambiense parasites causing sleeping sickness in humans in addition to related trypanosomes that cause Nagana in cattle. An understanding of the reproductive biology of this vector is essential for the application of sustainable control/eradication methods such as Sterile Insect Technique (SIT). We have analysed the number of times a female mates in the wild as this aspect of the reproductive behaviour may affect the stability and size of populations. We provide evidence that remating is a common event in the wild and females store sperm from multiple males, which may potentially be used for insemination. In vector eradication programmes, re-infestation of cleared areas and/or in cases of residual populations, the occurrence of remating may unfortunately enhance the reproductive potential of the re-invading propagules. We suggest that population age structure may influence remating frequency. Considering the seasonal demographic changes that this fly undergoes during the dry and wet seasons, control programmes based on SIT should release large numbers of sterile males, even in residual surviving target populations, in the dry season.

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          Most cited references57

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          Statistical confidence for likelihood-based paternity inference in natural populations.

          Paternity inference using highly polymorphic codominant markers is becoming common in the study of natural populations. However, multiple males are often found to be genetically compatible with each offspring tested, even when the probability of excluding an unrelated male is high. While various methods exist for evaluating the likelihood of paternity of each nonexcluded male, interpreting these likelihoods has hitherto been difficult, and no method takes account of the incomplete sampling and error-prone genetic data typical of large-scale studies of natural systems. We derive likelihood ratios for paternity inference with codominant markers taking account of typing error, and define a statistic delta for resolving paternity. Using allele frequencies from the study population in question, a simulation program generates criteria for delta that permit assignment of paternity to the most likely male with a known level of statistical confidence. The simulation takes account of the number of candidate males, the proportion of males that are sampled and gaps and errors in genetic data. We explore the potentially confounding effect of relatives and show that the method is robust to their presence under commonly encountered conditions. The method is demonstrated using genetic data from the intensively studied red deer (Cervus elaphus) population on the island of Rum, Scotland. The Windows-based computer program, CERVUS, described in this study is available from the authors. CERVUS can be used to calculate allele frequencies, run simulations and perform parentage analysis using data from all types of codominant markers.
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            Molecular Markers, Natural History and Evolution

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              Postcopulatory sexual selection.

              The female reproductive tract is where competition between the sperm of different males takes place, aided and abetted by the female herself. Intense postcopulatory sexual selection fosters inter-sexual conflict and drives rapid evolutionary change to generate a startling diversity of morphological, behavioural and physiological adaptations. We identify three main issues that should be resolved to advance our understanding of postcopulatory sexual selection. We need to determine the genetic basis of different male fertility traits and female traits that mediate sperm selection; identify the genes or genomic regions that control these traits; and establish the coevolutionary trajectory of sexes.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Negl Trop Dis
                plos
                plosntds
                PLoS Neglected Tropical Diseases
                Public Library of Science (San Francisco, USA )
                1935-2727
                1935-2735
                June 2011
                7 June 2011
                : 5
                : 6
                : e1190
                Affiliations
                [1 ]Department of Animal Biology, University of Pavia, Pavia, Italy
                [2 ]Department of Mathematics, University of Pavia, Pavia, Italy
                [3 ]Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America
                [4 ]Trypanosomiasis Research Centre, Kenya Agricultural Research Institute, Kikuyu, Kenya
                [5 ]National Livestock Resources Research Institute, Tororo, Uganda
                [6 ]Division of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
                [7 ]Department of Genetics and Microbiology, University of Pavia, Pavia, Italy
                IRD/CIRDES, Burkina Faso
                Author notes

                Conceived and designed the experiments: ARM SA JOO AC. Performed the experiments: AB PG MF FS. Analyzed the data: AB FB ER PG LMG CRG SA ARM. Contributed reagents/materials/analysis tools: JB LMO AC GMA. Wrote the paper: ARM CRG SA FB.

                Article
                PNTD-D-11-00056
                10.1371/journal.pntd.0001190
                3110164
                21666797
                258b2797-e3d1-4f94-ba78-12c32416ad2d
                Bonomi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 24 January 2011
                : 20 April 2011
                Page count
                Pages: 13
                Categories
                Research Article
                Biology
                Ecology
                Behavioral Ecology
                Population Ecology
                Theoretical Ecology
                Genetics
                Population Genetics
                Effective Population Size
                Gene Pool
                Genetic Polymorphism
                Population Biology
                Population Ecology
                Population Modeling
                Mathematics
                Mathematical Computing
                Statistics
                Biostatistics
                Statistical Methods

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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