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      Social structure of the harem-forming promiscuous fruit bat, Cynopterus sphinx, is the harem truly important?

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          Abstract

          Bats are social animals and display a diverse variety of mating and social systems, with most species exhibiting some form of polygyny. Their social organization is fluid and individuals frequently switch partners and roosting sites. While harem-like social organization is observed in multiple tropical species, its importance is contested in many of them. In this study, we investigated the role of harems in the social organization of the old world fruit bat Cynopterus sphinx. Based on regular behavioural observations over a period of 20 months and genetic data from microsatellite markers, we observed that the social organization is flexible, individuals regularly shift between roosts and the social organization resembles a fission–fusion society. Behavioural and genetic analyses suggest that the harems are not strict units of social structure, and the colony does not show signatures of subdivision with harems as behavioural units. We also observed that there was no correlation between individuals with high association index and pairwise relatedness. Our findings indicate that similar to the mating system, the social organization of C. sphinx can also be categorized as a fission–fusion society, and hence the term ‘harem’ is a misnomer. We conclude that the social system of C. sphinx is flexible, with multi-male multi-female organization, and individuals tend to be loyal to a given area rather than a roost.

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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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            COANCESTRY: a program for simulating, estimating and analysing relatedness and inbreeding coefficients.

            The software package COANCESTRY implements seven relatedness estimators and three inbreeding estimators to estimate relatedness and inbreeding coefficients from multilocus genotype data. Two likelihood estimators that allow for inbred individuals and account for genotyping errors are for the first time included in this user-friendly program for PCs running Windows operating system. A simulation module is built in the program to simulate multilocus genotype data of individuals with a predefined relationship, and to compare the estimators and the simulated relatedness values to facilitate the selection of the best estimator in a particular situation. Bootstrapping and permutations are used to obtain the 95% confidence intervals of each relatedness or inbreeding estimate, and to test the difference in averages between groups. © 2010 Blackwell Publishing Ltd.
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              SOCPROG programs: analysing animal social structures

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                Author and article information

                Journal
                R Soc Open Sci
                R Soc Open Sci
                RSOS
                royopensci
                Royal Society Open Science
                The Royal Society Publishing
                2054-5703
                February 2018
                7 February 2018
                7 February 2018
                : 5
                : 2
                : 172024
                Affiliations
                [1 ]Ecology and Evolution, National Centre for Biological Sciences , TIFR, Bellary Road, Bangalore 560065, India
                [2 ]Department of Biological Sciences, National University of Singapore , Singapore
                Author notes
                Author for correspondence: Kritika M. Garg e-mail: dbskg@ 123456nus.edu.sg , kritika.m.garg@ 123456gmail.com

                Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.3983967

                Author information
                http://orcid.org/0000-0003-3510-3408
                Article
                rsos172024
                10.1098/rsos.172024
                5830788
                8d6c699c-1b02-4758-a049-f1e84bcce10e
                © 2018 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : 1 December 2017
                : 4 January 2018
                Funding
                Funded by: Department of Atomic Energy, Government of India, http://dx.doi.org/10.13039/501100001502;
                Funded by: National Centre for Biological Sciences, http://dx.doi.org/10.13039/501100005879;
                Funded by: SEABIG;
                Award ID: WBS R-154-000-648-646
                Award ID: WBS R-154-000-648-733
                Funded by: Department of Science and Technology;
                Award ID: SR/S0/AS-65/2012
                Categories
                1001
                14
                70
                197
                Biology (Whole Organism)
                Research Article
                Custom metadata
                February, 2018

                promiscuous,social system and fission fusion
                promiscuous, social system and fission fusion

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