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Ryman N, Laikre L, Hössjer O. Do estimates of contemporary effective population size tell us what we want to know? Mol Ecol 2019; 28:1904-1918. [PMID: 30663828 PMCID: PMC6850010 DOI: 10.1111/mec.15027] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 01/14/2019] [Accepted: 01/15/2019] [Indexed: 12/25/2022]
Abstract
Estimation of effective population size (Ne) from genetic marker data is a major focus for biodiversity conservation because it is essential to know at what rates inbreeding is increasing and additive genetic variation is lost. But are these the rates assessed when applying commonly used Ne estimation techniques? Here we use recently developed analytical tools and demonstrate that in the case of substructured populations the answer is no. This is because the following: Genetic change can be quantified in several ways reflecting different types of Ne such as inbreeding (NeI), variance (NeV), additive genetic variance (NeAV), linkage disequilibrium equilibrium (NeLD), eigenvalue (NeE) and coalescence (NeCo) effective size. They are all the same for an isolated population of constant size, but the realized values of these effective sizes can differ dramatically in populations under migration. Commonly applied Ne‐estimators target NeV or NeLD of individual subpopulations. While such estimates are safe proxies for the rates of inbreeding and loss of additive genetic variation under isolation, we show that they are poor indicators of these rates in populations affected by migration. In fact, both the local and global inbreeding (NeI) and additive genetic variance (NeAV) effective sizes are consistently underestimated in a subdivided population. This is serious because these are the effective sizes that are relevant to the widely accepted 50/500 rule for short and long term genetic conservation. The bias can be infinitely large and is due to inappropriate parameters being estimated when applying theory for isolated populations to subdivided ones.
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Affiliation(s)
- Nils Ryman
- Department of Zoology, Division of Population Genetics, Stockholm University, Stockholm, Sweden
| | - Linda Laikre
- Department of Zoology, Division of Population Genetics, Stockholm University, Stockholm, Sweden
| | - Ola Hössjer
- Department of Mathematics, Stockholm University, Stockholm, Sweden
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Monteiro WP, Veiga JC, Silva AR, Carvalho CDS, Lanes ÉCM, Rico Y, Jaffé R. Everything you always wanted to know about gene flow in tropical landscapes (but were afraid to ask). PeerJ 2019; 7:e6446. [PMID: 30783576 PMCID: PMC6377592 DOI: 10.7717/peerj.6446] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 01/15/2019] [Indexed: 11/30/2022] Open
Abstract
The bulk of the world’s biodiversity is found in tropical regions, which are increasingly threatened by the human-led degradation of natural habitats. Yet, little is known about tropical biodiversity responses to habitat loss and fragmentation. Here we review all available literature assessing landscape effects on gene flow in tropical species, aiming to help unravel the factors underpinning functional connectivity in the tropics. We map and classify studies by focus species, the molecular markers employed, statistical approaches to assess landscape effects on gene flow, and the evaluated landscape and environmental variables. We then compare qualitatively and quantitatively landscape effects on gene flow across species and units of analysis. We found 69 articles assessing landscape effects on gene flow in tropical organisms, most of which were published in the last five years, were concentrated in the Americas, and focused on amphibians or mammals. Most studies employed population-level approaches, microsatellites were the preferred type of markers, and Mantel and partial Mantel tests the most common statistical approaches used. While elevation, land cover and forest cover were the most common gene flow predictors assessed, habitat suitability was found to be a common predictor of gene flow. A third of all surveyed studies explicitly assessed the effect of habitat degradation, but only 14 of these detected a reduced gene flow with increasing habitat loss. Elevation was responsible for most significant microsatellite-based isolation by resistance effects and a single study reported significant isolation by non-forested areas in an ant. Our study reveals important knowledge gaps on the study of landscape effects on gene flow in tropical organisms, and provides useful guidelines on how to fill them.
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Affiliation(s)
| | - Jamille Costa Veiga
- Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Pará, Brazil
| | - Amanda Reis Silva
- Departamento de Botânica, Museu Paraense Emílio Goeldi, Belém, Pará, Brazil
| | | | | | - Yessica Rico
- CONACYT, Red de Diversidad Biológica del Occidente Mexicano, Instituto de Ecología, A.C., Michoacán, Mexico
| | - Rodolfo Jaffé
- Instituto Tecnológico Vale, Belém, PA, Brazil.,Departamento de Ecologia, Universidade de São Paulo, São Paulo, Brazil
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Mekonnen A, Rueness EK, Stenseth NC, Fashing PJ, Bekele A, Hernandez-Aguilar RA, Missbach R, Haus T, Zinner D, Roos C. Population genetic structure and evolutionary history of Bale monkeys (Chlorocebus djamdjamensis) in the southern Ethiopian Highlands. BMC Evol Biol 2018; 18:106. [PMID: 29986642 PMCID: PMC6038355 DOI: 10.1186/s12862-018-1217-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Accepted: 06/13/2018] [Indexed: 12/31/2022] Open
Abstract
Background Species with a restricted geographic distribution, and highly specialized habitat and dietary requirements, are particularly vulnerable to extinction. The Bale monkey (Chlorocebus djamdjamensis) is a little-known arboreal, bamboo-specialist primate endemic to the southern Ethiopian Highlands. While most Bale monkeys inhabit montane forests dominated by bamboo, some occupy forest fragments where bamboo is much less abundant. We used mitochondrial DNA (mtDNA) sequences to analyse the genetic structure and evolutionary history of Bale monkeys covering the majority of their remaining distribution range. We analysed 119 faecal samples from their two main habitats, continuous forest (CF) and fragmented forests (FF), and sequenced 735 bp of the hypervariable region I (HVI) of the control region. We added 12 orthologous sequences from congeneric vervets (C. pygerythrus) and grivets (C. aethiops) as well as animals identified as hybrids, previously collected in southern Ethiopia. Results We found strong genetic differentiation (with no shared mtDNA haplotypes) between Bale monkey populations from CF and FF. Phylogenetic analyses revealed two distinct and highly diverged clades: a Bale monkey clade containing only Bale monkeys from CF and a green monkey clade where Bale monkeys from FF cluster with grivets and vervets. Analyses of demographic history revealed that Bale monkey populations (CF and FF) have had stable population sizes over an extended period, but have all recently experienced population declines. Conclusions The pronounced genetic structure and deep mtDNA divergence between Bale monkey populations inhabiting CF and FF are likely to be the results of hybridization and introgression of the FF population with parapatric Chlorocebus species, in contrast to the CF population, which was most likely not impacted by hybridization. Hybridization in the FF population was probably enhanced by an alteration of the bamboo forest habitat towards a more open woodland habitat, which enabled the parapatric Chlorocebus species to invade the Bale monkey's range and introgress the FF population. We therefore propose that the CF and FF Bale monkey populations should be managed as separate units when developing conservation strategies for this threatened species. Electronic supplementary material The online version of this article (10.1186/s12862-018-1217-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Addisu Mekonnen
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, N-0316, Oslo, Norway. .,Department of Zoological Sciences, Addis Ababa University, P.O. Box: 1176, Addis Ababa, Ethiopia.
| | - Eli K Rueness
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, N-0316, Oslo, Norway
| | - Nils Chr Stenseth
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, N-0316, Oslo, Norway.,Department of Zoological Sciences, Addis Ababa University, P.O. Box: 1176, Addis Ababa, Ethiopia
| | - Peter J Fashing
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, N-0316, Oslo, Norway.,Department of Anthropology and Environmental Studies Program, California State University Fullerton, Fullerton, CA, 92834, USA
| | - Afework Bekele
- Department of Zoological Sciences, Addis Ababa University, P.O. Box: 1176, Addis Ababa, Ethiopia
| | - R Adriana Hernandez-Aguilar
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, N-0316, Oslo, Norway
| | - Rose Missbach
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
| | - Tanja Haus
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany.,Cognitive Ethology Laboratory, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
| | - Dietmar Zinner
- Cognitive Ethology Laboratory, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
| | - Christian Roos
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany.,Gene Bank of Primates, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
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Atickem A, Stenseth NC, Drouilly M, Bock S, Roos C, Zinner D. Deep divergence among mitochondrial lineages in African jackals. ZOOL SCR 2017. [DOI: 10.1111/zsc.12257] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Anagaw Atickem
- Cognitive Ethology Laboratory; Primate Genetics Laboratory; German Primate Center (DPZ); Leibniz Institute for Primate Research; Göttingen Germany
- Department of Biosciences; Centre for Ecological and Evolutionary Synthesis (CEES); University of Oslo; Oslo Norway
| | - Nils Chr. Stenseth
- Department of Biosciences; Centre for Ecological and Evolutionary Synthesis (CEES); University of Oslo; Oslo Norway
| | - Marine Drouilly
- Department of Biological Sciences; Institute for Communities and Wildlife in Africa; University of Cape Town; Rondebosch South Africa
| | | | - Christian Roos
- Primate Genetics Laboratory; Gene Bank of Primates; German Primate Center (DPZ); Leibniz Institute for Primate Research; Göttingen Germany
| | - Dietmar Zinner
- Cognitive Ethology Laboratory; German Primate Center (DPZ); Leibniz Institute for Primate Research; Göttingen Germany
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