Literature DB >> 27225935

Retention of Ancestral Genetic Variation Across Life-Stages of an Endangered, Long-Lived Iteroparous Fish.

Evan W Carson1, Thomas F Turner2, Melody J Saltzgiver2, Deborah Adams2, Brian R Kesner2, Paul C Marsh2, Tyler J Pilger2, Thomas E Dowling2.   

Abstract

As with many endangered, long-lived iteroparous fishes, survival of razorback sucker depends on a management strategy that circumvents recruitment failure that results from predation by non-native fishes. In Lake Mohave, AZ-NV, management of razorback sucker centers on capture of larvae spawned in the lake, rearing them in off-channel habitats, and subsequent release ("repatriation") to the lake when adults are sufficiently large to resist predation. The effects of this strategy on genetic diversity, however, remained uncertain. After correction for differences in sample size among groups, metrics of mitochondrial DNA (mtDNA; number of haplotypes, N H , and haplotype diversity, H D ) and microsatellite (number of alleles, N A , and expected heterozygosity, H E ) diversity did not differ significantly between annual samples of repatriated adults and larval year-classes or among pooled samples of repatriated adults, larvae, and wild fish. These findings indicate that the current management program thus far maintained historical genetic variation of razorback sucker in the lake. Because effective population size, N e , is closely tied to the small census population size (N c = ~1500-3000) of razorback sucker in Lake Mohave, this population will remain at risk from genetic, as well as demographic risk of extinction unless N c is increased substantially. © The American Genetic Association 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  census population size; effective number of breeders; effective population size; genetic diversity; microsatellites; mtDNA

Mesh:

Substances:

Year:  2016        PMID: 27225935      PMCID: PMC6281361          DOI: 10.1093/jhered/esw036

Source DB:  PubMed          Journal:  J Hered        ISSN: 0022-1503            Impact factor:   2.645


  18 in total

1.  NeEstimator v2: re-implementation of software for the estimation of contemporary effective population size (Ne ) from genetic data.

Authors:  C Do; R S Waples; D Peel; G M Macbeth; B J Tillett; J R Ovenden
Journal:  Mol Ecol Resour       Date:  2013-08-31       Impact factor: 7.090

2.  ldne: a program for estimating effective population size from data on linkage disequilibrium.

Authors:  Robin S Waples; Chi DO
Journal:  Mol Ecol Resour       Date:  2008-07       Impact factor: 7.090

3.  Testing for Hardy-Weinberg proportions: have we lost the plot?

Authors:  Robin S Waples
Journal:  J Hered       Date:  2014-11-25       Impact factor: 2.645

4.  Journal of heredity adopts joint data archiving policy.

Authors:  C Scott Baker
Journal:  J Hered       Date:  2013 Jan-Feb       Impact factor: 2.645

5.  A generalized approach for estimating effective population size from temporal changes in allele frequency.

Authors:  R S Waples
Journal:  Genetics       Date:  1989-02       Impact factor: 4.562

6.  Temporal allele frequency change and estimation of effective size in populations with overlapping generations.

Authors:  P E Jorde; N Ryman
Journal:  Genetics       Date:  1995-02       Impact factor: 4.562

7.  Demographic genetics of brown trout (Salmo trutta) and estimation of effective population size from temporal change of allele frequencies.

Authors:  P E Jorde; N Ryman
Journal:  Genetics       Date:  1996-07       Impact factor: 4.562

8.  Genetic monitoring of wild and repatriated populations of endangered razorback sucker (Xyrauchen texanus, Catostomidae, Teleostei) in Lake Mohave, Arizona-Nevada.

Authors:  T E Dowling; P C Marsh; A T Kelsen; C A Tibbets
Journal:  Mol Ecol       Date:  2005-01       Impact factor: 6.185

9.  EFFECTS OF INTRINSIC AND EXTRINSIC FACTORS ON POPULATION FRAGMENTATION IN THREE SPECIES OF NORTH AMERICAN MINNOWS (TELEOSTEI: CYPRINIDAE).

Authors:  C Alana Tibbets; Thomas E Dowling
Journal:  Evolution       Date:  1996-06       Impact factor: 3.694

10.  Genetic monitoring and complex population dynamics: insights from a 12-year study of the Rio Grande silvery minnow.

Authors:  Megan J Osborne; Evan W Carson; Thomas F Turner
Journal:  Evol Appl       Date:  2012-01-12       Impact factor: 5.183

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