Scope for genetic rescue of an endangered subspecies though re-establishing natural gene flow with another subspecies

Genetic diversity is positively linked to the viability and evolutionary potential of species but is often compromised in threatened taxa. Genetic rescue by gene flow from a more diverse or differentiated source population of the same species can be an effective strategy for alleviating inbreeding d...

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Published inMolecular ecology Vol. 25; no. 6; pp. 1242 - 1258
Main Authors Harrisson, Katherine A., Pavlova, Alexandra, Gonçalves da Silva, Anders, Rose, Rebecca, Bull, James K., Lancaster, Melanie L., Murray, Neil, Quin, Bruce, Menkhorst, Peter, Magrath, Michael J. L., Sunnucks, Paul
Format Journal Article
LanguageEnglish
Published England Blackwell Publishing Ltd 01.03.2016
Subjects
Alleles
Animals
birds
Breeding
Cassidix
Conservation of Natural Resources
Endangered Species
Environmental changes
Gene Flow
Genetic diversity
Genetic Drift
genetic rescue
genetic restoration
Genetic Variation
helmeted honeyeater
hybridization
Hybridization, Genetic
Inbreeding
inbreeding depression
Lichenostomus melanops cassidix
Microsatellite Repeats
Models, Genetic
monitoring
outbreeding depression
Passeriformes - classification
Passeriformes - genetics
Population decline
Population Density
Population number
population size
population viability
risk
Sequence Analysis, DNA
viability
vortex
yellow-tufted honeyeater
vortex
population viability
yellow-tufted honeyeater
genetic rescue
genetic restoration
helmeted honeyeater
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Abstract Genetic diversity is positively linked to the viability and evolutionary potential of species but is often compromised in threatened taxa. Genetic rescue by gene flow from a more diverse or differentiated source population of the same species can be an effective strategy for alleviating inbreeding depression and boosting evolutionary potential. The helmeted honeyeater Lichenostomus melanops cassidix is a critically endangered subspecies of the common yellow‐tufted honeyeater. Cassidix has declined to a single wild population of ~130 birds, despite being subject to intensive population management over recent decades. We assessed changes in microsatellite diversity in cassidix over the last four decades and used population viability analysis to explore whether genetic rescue through hybridization with the neighbouring Lichenostomus melanops gippslandicus subspecies constitutes a viable conservation strategy. The contemporary cassidix population is characterized by low genetic diversity and effective population size (Ne < 50), suggesting it is vulnerable to inbreeding depression and will have limited capacity to evolve to changing environments. We find that gene flow from gippslandicus to cassidix has declined substantially relative to pre‐1990 levels and argue that natural levels of gene flow between the two subspecies should be restored. Allowing gene flow (~4 migrants per generation) from gippslandicus into cassidix (i.e. genetic rescue), in combination with continued annual release of captive‐bred cassidix (i.e. demographic rescue), should lead to positive demographic and genetic outcomes. Although we consider the risk of outbreeding depression to be low, we recommend that genetic rescue be managed within the context of the captive breeding programme, with monitoring of outcomes.
AbstractList Genetic diversity is positively linked to the viability and evolutionary potential of species but is often compromised in threatened taxa. Genetic rescue by gene flow from a more diverse or differentiated source population of the same species can be an effective strategy for alleviating inbreeding depression and boosting evolutionary potential. The helmeted honeyeater Lichenostomus melanops cassidix is a critically endangered subspecies of the common yellow-tufted honeyeater. Cassidix has declined to a single wild population of ~130 birds, despite being subject to intensive population management over recent decades. We assessed changes in microsatellite diversity in cassidix over the last four decades and used population viability analysis to explore whether genetic rescue through hybridization with the neighbouring Lichenostomus melanops gippslandicus subspecies constitutes a viable conservation strategy. The contemporary cassidix population is characterized by low genetic diversity and effective population size (N sub(e) < 50), suggesting it is vulnerable to inbreeding depression and will have limited capacity to evolve to changing environments. We find that gene flow from gippslandicus to cassidix has declined substantially relative to pre-1990 levels and argue that natural levels of gene flow between the two subspecies should be restored. Allowing gene flow (~4 migrants per generation) from gippslandicus into cassidix (i.e. genetic rescue), in combination with continued annual release of captive-bred cassidix (i.e. demographic rescue), should lead to positive demographic and genetic outcomes. Although we consider the risk of outbreeding depression to be low, we recommend that genetic rescue be managed within the context of the captive breeding programme, with monitoring of outcomes.
Genetic diversity is positively linked to the viability and evolutionary potential of species but is often compromised in threatened taxa. Genetic rescue by gene flow from a more diverse or differentiated source population of the same species can be an effective strategy for alleviating inbreeding depression and boosting evolutionary potential. The helmeted honeyeater Lichenostomus melanops cassidix is a critically endangered subspecies of the common yellow-tufted honeyeater. Cassidix has declined to a single wild population of ~130 birds, despite being subject to intensive population management over recent decades. We assessed changes in microsatellite diversity in cassidix over the last four decades and used population viability analysis to explore whether genetic rescue through hybridization with the neighbouring Lichenostomus melanops gippslandicus subspecies constitutes a viable conservation strategy. The contemporary cassidix population is characterized by low genetic diversity and effective population size (N(e) < 50), suggesting it is vulnerable to inbreeding depression and will have limited capacity to evolve to changing environments. We find that gene flow from gippslandicus to cassidix has declined substantially relative to pre-1990 levels and argue that natural levels of gene flow between the two subspecies should be restored. Allowing gene flow (~4 migrants per generation) from gippslandicus into cassidix (i.e. genetic rescue), in combination with continued annual release of captive-bred cassidix (i.e. demographic rescue), should lead to positive demographic and genetic outcomes. Although we consider the risk of outbreeding depression to be low, we recommend that genetic rescue be managed within the context of the captive breeding programme, with monitoring of outcomes.
Genetic diversity is positively linked to the viability and evolutionary potential of species but is often compromised in threatened taxa. Genetic rescue by gene flow from a more diverse or differentiated source population of the same species can be an effective strategy for alleviating inbreeding depression and boosting evolutionary potential. The helmeted honeyeater Lichenostomus melanops cassidix is a critically endangered subspecies of the common yellow‐tufted honeyeater. Cassidix has declined to a single wild population of ~130 birds, despite being subject to intensive population management over recent decades. We assessed changes in microsatellite diversity in cassidix over the last four decades and used population viability analysis to explore whether genetic rescue through hybridization with the neighbouring Lichenostomus melanops gippslandicus subspecies constitutes a viable conservation strategy. The contemporary cassidix population is characterized by low genetic diversity and effective population size (Nₑ < 50), suggesting it is vulnerable to inbreeding depression and will have limited capacity to evolve to changing environments. We find that gene flow from gippslandicus to cassidix has declined substantially relative to pre‐1990 levels and argue that natural levels of gene flow between the two subspecies should be restored. Allowing gene flow (~4 migrants per generation) from gippslandicus into cassidix (i.e. genetic rescue), in combination with continued annual release of captive‐bred cassidix (i.e. demographic rescue), should lead to positive demographic and genetic outcomes. Although we consider the risk of outbreeding depression to be low, we recommend that genetic rescue be managed within the context of the captive breeding programme, with monitoring of outcomes.
Genetic diversity is positively linked to the viability and evolutionary potential of species but is often compromised in threatened taxa. Genetic rescue by gene flow from a more diverse or differentiated source population of the same species can be an effective strategy for alleviating inbreeding depression and boosting evolutionary potential. The helmeted honeyeater Lichenostomus melanops cassidix is a critically endangered subspecies of the common yellow-tufted honeyeater. Cassidix has declined to a single wild population of ~130 birds, despite being subject to intensive population management over recent decades. We assessed changes in microsatellite diversity in cassidix over the last four decades and used population viability analysis to explore whether genetic rescue through hybridization with the neighbouring Lichenostomus melanops gippslandicus subspecies constitutes a viable conservation strategy. The contemporary cassidix population is characterized by low genetic diversity and effective population size (Ne < 50), suggesting it is vulnerable to inbreeding depression and will have limited capacity to evolve to changing environments. We find that gene flow from gippslandicus to cassidix has declined substantially relative to pre-1990 levels and argue that natural levels of gene flow between the two subspecies should be restored. Allowing gene flow (~4 migrants per generation) from gippslandicus into cassidix (i.e. genetic rescue), in combination with continued annual release of captive-bred cassidix (i.e. demographic rescue), should lead to positive demographic and genetic outcomes. Although we consider the risk of outbreeding depression to be low, we recommend that genetic rescue be managed within the context of the captive breeding programme, with monitoring of outcomes.
Genetic diversity is positively linked to the viability and evolutionary potential of species but is often compromised in threatened taxa. Genetic rescue by gene flow from a more diverse or differentiated source population of the same species can be an effective strategy for alleviating inbreeding depression and boosting evolutionary potential. The helmeted honeyeater Lichenostomus melanops cassidix is a critically endangered subspecies of the common yellow‐tufted honeyeater. Cassidix has declined to a single wild population of ~130 birds, despite being subject to intensive population management over recent decades. We assessed changes in microsatellite diversity in cassidix over the last four decades and used population viability analysis to explore whether genetic rescue through hybridization with the neighbouring Lichenostomus melanops gippslandicus subspecies constitutes a viable conservation strategy. The contemporary cassidix population is characterized by low genetic diversity and effective population size (Ne < 50), suggesting it is vulnerable to inbreeding depression and will have limited capacity to evolve to changing environments. We find that gene flow from gippslandicus to cassidix has declined substantially relative to pre‐1990 levels and argue that natural levels of gene flow between the two subspecies should be restored. Allowing gene flow (~4 migrants per generation) from gippslandicus into cassidix (i.e. genetic rescue), in combination with continued annual release of captive‐bred cassidix (i.e. demographic rescue), should lead to positive demographic and genetic outcomes. Although we consider the risk of outbreeding depression to be low, we recommend that genetic rescue be managed within the context of the captive breeding programme, with monitoring of outcomes.
Genetic diversity is positively linked to the viability and evolutionary potential of species but is often compromised in threatened taxa. Genetic rescue by gene flow from a more diverse or differentiated source population of the same species can be an effective strategy for alleviating inbreeding depression and boosting evolutionary potential. The helmeted honeyeater Lichenostomus melanops cassidix is a critically endangered subspecies of the common yellow‐tufted honeyeater. Cassidix has declined to a single wild population of ~130 birds, despite being subject to intensive population management over recent decades. We assessed changes in microsatellite diversity in cassidix over the last four decades and used population viability analysis to explore whether genetic rescue through hybridization with the neighbouring Lichenostomus melanops gippslandicus subspecies constitutes a viable conservation strategy. The contemporary cassidix population is characterized by low genetic diversity and effective population size ( N e  < 50), suggesting it is vulnerable to inbreeding depression and will have limited capacity to evolve to changing environments. We find that gene flow from gippslandicus to cassidix has declined substantially relative to pre‐1990 levels and argue that natural levels of gene flow between the two subspecies should be restored. Allowing gene flow (~4 migrants per generation) from gippslandicus into cassidix (i.e. genetic rescue), in combination with continued annual release of captive‐bred cassidix (i.e. demographic rescue) , should lead to positive demographic and genetic outcomes. Although we consider the risk of outbreeding depression to be low, we recommend that genetic rescue be managed within the context of the captive breeding programme, with monitoring of outcomes.
Author Pavlova, Alexandra
Sunnucks, Paul
Rose, Rebecca
Bull, James K.
Menkhorst, Peter
Gonçalves da Silva, Anders
Magrath, Michael J. L.
Harrisson, Katherine A.
Murray, Neil
Quin, Bruce
Lancaster, Melanie L.
Author_xml – sequence: 1
  givenname: Katherine A.
  surname: Harrisson
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  organization: School of Biological Sciences, Monash University, Clayton Campus, Vic., 3800, Clayton, Australia
– sequence: 2
  givenname: Alexandra
  surname: Pavlova
  fullname: Pavlova, Alexandra
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  surname: Gonçalves da Silva
  fullname: Gonçalves da Silva, Anders
  organization: School of Biological Sciences, Monash University, Clayton Campus, 3800, Clayton, Vic., Australia
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  surname: Rose
  fullname: Rose, Rebecca
  organization: School of Biological Sciences, Monash University, Clayton Campus, Vic., 3800, Clayton, Australia
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  surname: Bull
  fullname: Bull, James K.
  organization: School of Biological Sciences, Monash University, Clayton Campus, Vic., 3800, Clayton, Australia
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  organization: Department of Ecology, Environment and Evolution, La Trobe University, Vic., 3086, Melbourne, Australia
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  fullname: Menkhorst, Peter
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  organization: School of Biological Sciences, Monash University, Clayton Campus, Vic., 3800, Clayton, Australia
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Issue 6
Keywords vortex
population viability
yellow-tufted honeyeater
genetic rescue
genetic restoration
helmeted honeyeater
Language English
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2016 John Wiley & Sons Ltd.
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Notes Zoos Victoria
Victorian Department of Environment and Primary Industries (DEPI)
Goulburn Broken Catchment Management Authority
Merrin Foundation
Holsworth Wildlife Research Endowment
North Central Catchment Management Authority
istex:91A7C997D03927FF17F8F66C3AEA994D15E6B6E4
Museum of Victoria
Australian Research Council - No. LP0776322
Victorian Government
Birds Australia
Parks Victoria
ark:/67375/WNG-RNLK61JT-W
CSIRO Ecosystem Sciences
Appendix S1. vortex simulation parameters.Appendix S2. Yellingbo population history.Appendix S3. Sampling info.Appendix S4. Lab methods.Appendix S5. migrate-n sample information.Appendix S6. migrate-n analysis.Appendix S7. Allele frequencies.Appendix S8. Summary of structure analysis based on all cassidix samples.Appendix S9. Summary of structure analysis based on all cassidix and gippslandicus samples.
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PublicationTitle Molecular ecology
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Publisher Blackwell Publishing Ltd
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References Frankham R, Ballou JD, Briscoe DA (2010) Introduction to Conservation Genetics, 2nd edn. Cambridge University Press, Cambridge.
Waples RS, Do C (2008) LDNE: a program for estimating effective population size from data on linkage disequilibrium. Molecular Ecology Resources, 8, 753-756.
Frankham R (1995) Conservation genetics. Annual Review of Genetics, 29, 305-327.
Reed DH, Frankham R (2003) Correlation between fitness and genetic diversity. Conservation Biology, 17, 230-237.
Beerli P, Palczewski M (2010) Unified framework to evaluate panmixia and migration direction among multiple sampling locations. Genetics, 185, 313-326.
Beerli P, Felsenstein J (1999) Maximum-likelihood estimation of migration rates and effective population numbers in two populations using a coalescent approach. Genetics, 152, 763-773.
Frankham R (1996) Relationship of genetic variation to population size in wildlife. Conservation Biology, 10, 1500-1508.
Blackney J, Menkhorst P (1993) Distribution of subspecies of the yellow-tufted honeyeater in the Yarra Valley region, Victoria. Emu, 93, 209-213.
McMahon A, Franklin D (1993) The significance of Mountain Swamp Gum for helmeted honeyeater populations in the Yarra Valley. The Victorian Naturalist, 110, 230-237.
Jorde PE, Ryman N (2007) Unbiased estimator for genetic drift and effective population size. Genetics, 177, 927-935.
Weeks AR, Sgro CM, Young AG et al. (2011) Assessing the benefits and risks of translocations in changing environments: a genetic perspective. Evolutionary Applications, 4, 709-725.
Westemeier RL, Brawn JD, Simpson SA et al. (1998) Tracking the long-term decline and recovery of an isolated population. Science, 282, 1695-1698.
Hemmings N, West M, Birkhead T (2012) Causes of hatching failure in endangered birds. Biology Letters, 12, rsbl.2012.0655.
Pickup M, Field DL, Rowell DM, Young AG (2013) Source population characteristics affect heterosis following genetic rescue of fragmented plant populations. Proceedings of the Royal Society B: Biological Sciences, 280, 20122058.
Waples RS (2005) Genetic estimates of contemporary effective population size: to what time periods do the estimates apply? Molecular Ecology, 14, 3335-3352.
Waples RS, Antao T, Luikart G (2014) Effects of overlapping generations on linkage disequilibrium estimates of effective population size. Genetics, 197, 769-780.
Wakefield N (1958) The yellow-tufted honeyeater with a description of a new subspecies. Emu, 58, 163-194.
Falush D, Stephens M, Pritchard JK (2003) Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics, 164, 1567-1587.
Fernández J, Toro M, Caballero A (2008) Management of subdivided populations in conservation programs: development of a novel dynamic system. Genetics, 179, 683-692.
Lacy RC (1995) Clarification of genetic terms and their use in the management of captive populations. Zoo Biology, 14, 565-577.
Lowe WH, Allendorf FW (2010) What can genetics tell us about population connectivity? (vol 19, pg 3038, 2010). Molecular Ecology, 19, 5320.
Lacy RC (1987) Loss of genetic diversity from managed populations: interacting effects of drift, mutation, immigration, selection, and population subdivision. Conservation Biology, 1, 143-158.
Crandall KA, Bininda-Emonds OR, Mace GM, Wayne RK (2000) Considering evolutionary processes in conservation biology. Trends in Ecology & Evolution, 15, 290-295.
Pavlova A, Selwood P, Harrisson KA et al. (2014) Integrating phylogeography and morphometrics to assess conservation merits and inform conservation strategies for an endangered subspecies of a common bird species. Biological Conservation, 174, 136-146.
Peakall R, Smouse PE (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update. Bioinformatics, 28, 2537-2539.
Queller DC, Goodnight KF (1989) Estimating relatedness using genetic markers. Evolution, 43, 258-275.
Earl DA, Vonholdt BM (2012) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conservation Genetics Resources, 4, 359-361.
Harrisson KA, Pavlova A, Telonis-Scott M, Sunnucks P (2014) Using genomics to characterize evolutionary potential for conservation of wild populations. Evolutionary Applications, 7, 1008-1025.
Wang J (2011) COANCESTRY: a program for simulating, estimating and analysing relatedness and inbreeding coefficients. Molecular Ecology Resources, 11, 141-145.
Tallmon DA, Gregovich D, Waples RS et al. (2010) When are genetic methods useful for estimating contemporary abundance and detecting population trends? Molecular Ecology Resources, 10, 684-692.
Garnett ST, Szabo J, Dutson G (2011) Action Plan for Australian Birds. CSIRO Publishing, Melbourne.
Hedrick PW (1995) Gene flow and genetic restoration: the Florida panther as a case study. Conservation Biology, 9, 996-1007.
Frankham R (2015) Genetic rescue of small inbred populations: meta-analysis reveals large and consistent benefits of gene flow. Molecular Ecology, 24, 2610-2618.
Heber S, Varsani A, Kuhn S et al. (2013) The genetic rescue of two bottlenecked South Island robin populations using translocations of inbred donors. Proceedings of the Royal Society B: Biological Sciences, 280, 20122228.
Smales IJ, Quin B, Menkhorst PW, Franklin DC (2009) Demography of the helmeted honeyeater (Lichenostomus melanops cassidix). Emu, 109, 352-359.
Hedrick PW, Fredrickson R (2010) Genetic rescue guidelines with examples from Mexican wolves and Florida panthers. Conservation Genetics, 11, 615-626.
Rosenberg NA (2004) DISTRUCT: a program for the graphical display of population structure. Molecular Ecology Notes, 4, 137-138.
Frankham R, Ballou JD, Eldridge MDB et al. (2011) Predicting the probability of outbreeding depression. Conservation Biology, 25, 465-475.
Hufbauer RA, Szűcs M, Kasyon E et al. (2015) Three types of rescue can avert extinction in a changing environment. Proceedings of the National Academy of Sciences, 112, 10557-10562.
Whiteley AR, Fitzpatrick SW, Funk WC, Tallmon DA (2015) Genetic rescue to the rescue. Trends in Ecology & Evolution, 30, 42-49.
Sánchez-Molano E, Caballero A, Fernández J (2013) Efficiency of conservation management methods for subdivided populations under local adaptation. Journal of Heredity, 104, 554-564.
Pierson JC, Beissinger SR, Bragg JG et al. (2015) Incorporating evolutionary processes into population viability models. Conservation Biology, 29, 755-764.
Pimm SL, Dollar L, Bass O (2006) The genetic rescue of the Florida panther. Animal Conservation, 9, 115-122.
Waples RS (1989) A generalized-approach for estimating effective population-size from temporal changes in allele frequency. Genetics, 121, 379-391.
Do C, Waples RS, Peel D et al. (2014) NEESTIMATOR v2: re-implementation of software for the estimation of contemporary effective population size (N-e) from genetic data. Molecular Ecology Resources, 14, 209-214.
Jamieson IG, Allendorf FW (2012) How does the 50/500 rule apply to MVPs? Trends in Ecology & Evolution, 27, 578-584.
Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular Ecology, 14, 2611-2620.
Hamilton JA, Miller JM (2015) Adaptive introgression as a resource for management and genetic conservation in a changing climate. Conservation Biology, 30, 30-41.
Beerli P, Felsenstein J (2001) Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach. Proceedings of the National Academy of Sciences, 98, 4563-4568.
Menkhorst P (2008) National Recovery Plan for the Helmeted Honeyeater Lichenostomus melanops cassidix. Department of Sustainability and Environment, Melbourne.
Menkhorst P, Middleton D (1991) Helmeted Honeyeater Recovery Plan: 1989-1993. Department of Conservation and Environment, Melbourne.
Jakobsson M, Rosenberg NA (2007) CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformatics, 23, 1801-1806.
Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics, 155, 945-959.
Mills LS, Allendorf FW (1996) The one-migrant-per-generation rule in conservation and management. Conservation Biology, 10, 1509-1518.
Frankham R, Bradshaw CJA, Brook BW (2014) Genetics in conservation management: revised recommendations for the 50/500 rules, Red List criteria and population viability analyses. Biological Conservation, 170, 56-63.
Lacy RC, Pollak JP (2015) A Stochastic Simulation of the Extinction Process. Chicago Zoological Society, Brookfield, Illinois.
Wright S (1931) Evolution in Mendelian populations. Genetics, 16, 97.
Gonçalves da Silva A, Appleyard SA, Upston J (2015) Establishing the evolutionary compatibility of potential sources of colonizers for overfished stocks: a population genomics approach. Molecular Ecology, 24, 564-579.
Madsen T, Ujvari B, Olsson M (2004) Novel genes continue to enhance population growth in adders (Vipera berus). Biological Conservation, 120, 145-147.
2010; 11
1987; 1
1931; 16
2010; 10
2004; 120
1989; 43
2010; 19
2015; 30
1958; 58
2004; 4
2010; 185
2011; 11
2008; 8
2003; 17
2014; 170
2013; 280
2012; 12
2014; 174
2001
1990
2000; 15
2007; 177
2014; 14
2012; 28
2012; 27
1995; 29
2011; 25
2014; 7
2007; 23
1998; 282
2003; 164
2001; 98
1995; 9
2011
2010
1995; 14
2013; 104
2006; 9
2008
1995
2000; 155
1991
2011; 4
2014; 197
1996; 10
2015; 24
2015; 29
1993; 93
2015; 112
1989; 121
1999; 152
2015
2008; 179
2012; 4
2009; 109
1993; 110
2005; 14
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Hamilton JA (e_1_2_6_22_1) 2015; 30
Smales IJ (e_1_2_6_51_1) 1990
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Weeks AR (e_1_2_6_61_1) 2015
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References_xml – reference: Rosenberg NA (2004) DISTRUCT: a program for the graphical display of population structure. Molecular Ecology Notes, 4, 137-138.
– reference: Whiteley AR, Fitzpatrick SW, Funk WC, Tallmon DA (2015) Genetic rescue to the rescue. Trends in Ecology & Evolution, 30, 42-49.
– reference: Fernández J, Toro M, Caballero A (2008) Management of subdivided populations in conservation programs: development of a novel dynamic system. Genetics, 179, 683-692.
– reference: Frankham R (1995) Conservation genetics. Annual Review of Genetics, 29, 305-327.
– reference: Lacy RC (1987) Loss of genetic diversity from managed populations: interacting effects of drift, mutation, immigration, selection, and population subdivision. Conservation Biology, 1, 143-158.
– reference: Beerli P, Palczewski M (2010) Unified framework to evaluate panmixia and migration direction among multiple sampling locations. Genetics, 185, 313-326.
– reference: Jamieson IG, Allendorf FW (2012) How does the 50/500 rule apply to MVPs? Trends in Ecology & Evolution, 27, 578-584.
– reference: Hufbauer RA, Szűcs M, Kasyon E et al. (2015) Three types of rescue can avert extinction in a changing environment. Proceedings of the National Academy of Sciences, 112, 10557-10562.
– reference: Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics, 155, 945-959.
– reference: Menkhorst P, Middleton D (1991) Helmeted Honeyeater Recovery Plan: 1989-1993. Department of Conservation and Environment, Melbourne.
– reference: Crandall KA, Bininda-Emonds OR, Mace GM, Wayne RK (2000) Considering evolutionary processes in conservation biology. Trends in Ecology & Evolution, 15, 290-295.
– reference: Hamilton JA, Miller JM (2015) Adaptive introgression as a resource for management and genetic conservation in a changing climate. Conservation Biology, 30, 30-41.
– reference: Pickup M, Field DL, Rowell DM, Young AG (2013) Source population characteristics affect heterosis following genetic rescue of fragmented plant populations. Proceedings of the Royal Society B: Biological Sciences, 280, 20122058.
– reference: Waples RS (2005) Genetic estimates of contemporary effective population size: to what time periods do the estimates apply? Molecular Ecology, 14, 3335-3352.
– reference: Westemeier RL, Brawn JD, Simpson SA et al. (1998) Tracking the long-term decline and recovery of an isolated population. Science, 282, 1695-1698.
– reference: Hedrick PW (1995) Gene flow and genetic restoration: the Florida panther as a case study. Conservation Biology, 9, 996-1007.
– reference: Lowe WH, Allendorf FW (2010) What can genetics tell us about population connectivity? (vol 19, pg 3038, 2010). Molecular Ecology, 19, 5320.
– reference: Garnett ST, Szabo J, Dutson G (2011) Action Plan for Australian Birds. CSIRO Publishing, Melbourne.
– reference: Gonçalves da Silva A, Appleyard SA, Upston J (2015) Establishing the evolutionary compatibility of potential sources of colonizers for overfished stocks: a population genomics approach. Molecular Ecology, 24, 564-579.
– reference: Falush D, Stephens M, Pritchard JK (2003) Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics, 164, 1567-1587.
– reference: Hemmings N, West M, Birkhead T (2012) Causes of hatching failure in endangered birds. Biology Letters, 12, rsbl.2012.0655.
– reference: Earl DA, Vonholdt BM (2012) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conservation Genetics Resources, 4, 359-361.
– reference: Beerli P, Felsenstein J (2001) Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach. Proceedings of the National Academy of Sciences, 98, 4563-4568.
– reference: Menkhorst P (2008) National Recovery Plan for the Helmeted Honeyeater Lichenostomus melanops cassidix. Department of Sustainability and Environment, Melbourne.
– reference: Mills LS, Allendorf FW (1996) The one-migrant-per-generation rule in conservation and management. Conservation Biology, 10, 1509-1518.
– reference: Pimm SL, Dollar L, Bass O (2006) The genetic rescue of the Florida panther. Animal Conservation, 9, 115-122.
– reference: Heber S, Varsani A, Kuhn S et al. (2013) The genetic rescue of two bottlenecked South Island robin populations using translocations of inbred donors. Proceedings of the Royal Society B: Biological Sciences, 280, 20122228.
– reference: Hedrick PW, Fredrickson R (2010) Genetic rescue guidelines with examples from Mexican wolves and Florida panthers. Conservation Genetics, 11, 615-626.
– reference: Smales IJ, Quin B, Menkhorst PW, Franklin DC (2009) Demography of the helmeted honeyeater (Lichenostomus melanops cassidix). Emu, 109, 352-359.
– reference: Do C, Waples RS, Peel D et al. (2014) NEESTIMATOR v2: re-implementation of software for the estimation of contemporary effective population size (N-e) from genetic data. Molecular Ecology Resources, 14, 209-214.
– reference: Frankham R (2015) Genetic rescue of small inbred populations: meta-analysis reveals large and consistent benefits of gene flow. Molecular Ecology, 24, 2610-2618.
– reference: Weeks AR, Sgro CM, Young AG et al. (2011) Assessing the benefits and risks of translocations in changing environments: a genetic perspective. Evolutionary Applications, 4, 709-725.
– reference: Frankham R, Bradshaw CJA, Brook BW (2014) Genetics in conservation management: revised recommendations for the 50/500 rules, Red List criteria and population viability analyses. Biological Conservation, 170, 56-63.
– reference: Sánchez-Molano E, Caballero A, Fernández J (2013) Efficiency of conservation management methods for subdivided populations under local adaptation. Journal of Heredity, 104, 554-564.
– reference: Pierson JC, Beissinger SR, Bragg JG et al. (2015) Incorporating evolutionary processes into population viability models. Conservation Biology, 29, 755-764.
– reference: Wang J (2011) COANCESTRY: a program for simulating, estimating and analysing relatedness and inbreeding coefficients. Molecular Ecology Resources, 11, 141-145.
– reference: Blackney J, Menkhorst P (1993) Distribution of subspecies of the yellow-tufted honeyeater in the Yarra Valley region, Victoria. Emu, 93, 209-213.
– reference: McMahon A, Franklin D (1993) The significance of Mountain Swamp Gum for helmeted honeyeater populations in the Yarra Valley. The Victorian Naturalist, 110, 230-237.
– reference: Peakall R, Smouse PE (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update. Bioinformatics, 28, 2537-2539.
– reference: Waples RS (1989) A generalized-approach for estimating effective population-size from temporal changes in allele frequency. Genetics, 121, 379-391.
– reference: Jakobsson M, Rosenberg NA (2007) CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformatics, 23, 1801-1806.
– reference: Lacy RC (1995) Clarification of genetic terms and their use in the management of captive populations. Zoo Biology, 14, 565-577.
– reference: Waples RS, Do C (2008) LDNE: a program for estimating effective population size from data on linkage disequilibrium. Molecular Ecology Resources, 8, 753-756.
– reference: Harrisson KA, Pavlova A, Telonis-Scott M, Sunnucks P (2014) Using genomics to characterize evolutionary potential for conservation of wild populations. Evolutionary Applications, 7, 1008-1025.
– reference: Frankham R, Ballou JD, Briscoe DA (2010) Introduction to Conservation Genetics, 2nd edn. Cambridge University Press, Cambridge.
– reference: Waples RS, Antao T, Luikart G (2014) Effects of overlapping generations on linkage disequilibrium estimates of effective population size. Genetics, 197, 769-780.
– reference: Beerli P, Felsenstein J (1999) Maximum-likelihood estimation of migration rates and effective population numbers in two populations using a coalescent approach. Genetics, 152, 763-773.
– reference: Queller DC, Goodnight KF (1989) Estimating relatedness using genetic markers. Evolution, 43, 258-275.
– reference: Frankham R (1996) Relationship of genetic variation to population size in wildlife. Conservation Biology, 10, 1500-1508.
– reference: Frankham R, Ballou JD, Eldridge MDB et al. (2011) Predicting the probability of outbreeding depression. Conservation Biology, 25, 465-475.
– reference: Madsen T, Ujvari B, Olsson M (2004) Novel genes continue to enhance population growth in adders (Vipera berus). Biological Conservation, 120, 145-147.
– reference: Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular Ecology, 14, 2611-2620.
– reference: Tallmon DA, Gregovich D, Waples RS et al. (2010) When are genetic methods useful for estimating contemporary abundance and detecting population trends? Molecular Ecology Resources, 10, 684-692.
– reference: Pavlova A, Selwood P, Harrisson KA et al. (2014) Integrating phylogeography and morphometrics to assess conservation merits and inform conservation strategies for an endangered subspecies of a common bird species. Biological Conservation, 174, 136-146.
– reference: Lacy RC, Pollak JP (2015) A Stochastic Simulation of the Extinction Process. Chicago Zoological Society, Brookfield, Illinois.
– reference: Wakefield N (1958) The yellow-tufted honeyeater with a description of a new subspecies. Emu, 58, 163-194.
– reference: Reed DH, Frankham R (2003) Correlation between fitness and genetic diversity. Conservation Biology, 17, 230-237.
– reference: Jorde PE, Ryman N (2007) Unbiased estimator for genetic drift and effective population size. Genetics, 177, 927-935.
– reference: Wright S (1931) Evolution in Mendelian populations. Genetics, 16, 97.
– volume: 25
  start-page: 465
  year: 2011
  end-page: 475
  article-title: Predicting the probability of outbreeding depression
  publication-title: Conservation Biology
– year: 2011
– volume: 58
  start-page: 163
  year: 1958
  end-page: 194
  article-title: The yellow‐tufted honeyeater with a description of a new subspecies
  publication-title: Emu
– start-page: 76
  year: 1995
  end-page: 111
– volume: 10
  start-page: 1509
  year: 1996
  end-page: 1518
  article-title: The one‐migrant‐per‐generation rule in conservation and management
  publication-title: Conservation Biology
– volume: 112
  start-page: 10557
  year: 2015
  end-page: 10562
  article-title: Three types of rescue can avert extinction in a changing environment
  publication-title: Proceedings of the National Academy of Sciences
– volume: 120
  start-page: 145
  year: 2004
  end-page: 147
  article-title: Novel genes continue to enhance population growth in adders ( )
  publication-title: Biological Conservation
– volume: 15
  start-page: 290
  year: 2000
  end-page: 295
  article-title: Considering evolutionary processes in conservation biology
  publication-title: Trends in Ecology & Evolution
– year: 2001
– volume: 24
  start-page: 2610
  year: 2015
  end-page: 2618
  article-title: Genetic rescue of small inbred populations: meta‐analysis reveals large and consistent benefits of gene flow
  publication-title: Molecular Ecology
– volume: 28
  start-page: 2537
  year: 2012
  end-page: 2539
  article-title: GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research‐an update
  publication-title: Bioinformatics
– volume: 4
  start-page: 709
  year: 2011
  end-page: 725
  article-title: Assessing the benefits and risks of translocations in changing environments: a genetic perspective
  publication-title: Evolutionary Applications
– volume: 14
  start-page: 565
  year: 1995
  end-page: 577
  article-title: Clarification of genetic terms and their use in the management of captive populations
  publication-title: Zoo Biology
– volume: 110
  start-page: 230
  year: 1993
  end-page: 237
  article-title: The significance of Mountain Swamp Gum for helmeted honeyeater populations in the Yarra Valley
  publication-title: The Victorian Naturalist
– volume: 4
  start-page: 137
  year: 2004
  end-page: 138
  article-title: DISTRUCT: a program for the graphical display of population structure
  publication-title: Molecular Ecology Notes
– year: 1990
– volume: 11
  start-page: 141
  year: 2011
  end-page: 145
  article-title: COANCESTRY: a program for simulating, estimating and analysing relatedness and inbreeding coefficients
  publication-title: Molecular Ecology Resources
– volume: 9
  start-page: 115
  year: 2006
  end-page: 122
  article-title: The genetic rescue of the Florida panther
  publication-title: Animal Conservation
– volume: 16
  start-page: 97
  year: 1931
  article-title: Evolution in Mendelian populations
  publication-title: Genetics
– volume: 30
  start-page: 30
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Snippet Genetic diversity is positively linked to the viability and evolutionary potential of species but is often compromised in threatened taxa. Genetic rescue by...
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SubjectTerms Alleles
Animals
birds
Breeding
Cassidix
Conservation of Natural Resources
Endangered Species
Environmental changes
Gene Flow
Genetic diversity
Genetic Drift
genetic rescue
genetic restoration
Genetic Variation
helmeted honeyeater
hybridization
Hybridization, Genetic
Inbreeding
inbreeding depression
Lichenostomus melanops cassidix
Microsatellite Repeats
Models, Genetic
monitoring
outbreeding depression
Passeriformes - classification
Passeriformes - genetics
Population decline
Population Density
Population number
population size
population viability
risk
Sequence Analysis, DNA
viability
vortex
yellow-tufted honeyeater
Title Scope for genetic rescue of an endangered subspecies though re-establishing natural gene flow with another subspecies
URI https://api.istex.fr/ark:/67375/WNG-RNLK61JT-W/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fmec.13547
https://www.ncbi.nlm.nih.gov/pubmed/26820991
https://www.proquest.com/docview/1771054765
https://www.proquest.com/docview/1776659617
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Volume 25
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