Research Article |
Corresponding author: Raffael Ernst ( raffael.ernst@senckenberg.de ) Academic editor: Sandro Bertolino
© 2022 Franziska Leonhardt, Clara Arranz Aveces, Anke Müller, Baptiste Angin, Mathieu Jegu, Pius Haynes, Raffael Ernst.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Leonhardt F, Arranz Aveces C, Müller A, Angin B, Jegu M, Haynes P, Ernst R (2022) Low genetic diversity in a widespread whistling alien: A comparison of Eleutherodactylus johnstonei Barbour, 1914 (Eleutherodactylidae) and congeners in native and introduced ranges. NeoBiota 79: 31-50. https://doi.org/10.3897/neobiota.79.86778
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There is no clear empirical evidence to support the general assumption that genetic diversity favours successful invasions. Many invading species disperse and establish successfully despite low genetic diversity, a phenomenon known as the genetic paradox of biological invasion. Model systems that allow comparison of genetic patterns between exotic and native source populations are still scarce. This is particularly true for amphibians. Here we compare genetic patterns of the widely introduced Johnstone’s Whistling Frog, Eleutherodactylus johnstonei, with its successful alien congener E. antillensis and the single island endemic E. portoricensis. Genetic diversity and population differentiation in native and introduced populations of the three taxa were inferred from mitochondrial D-loop sequences (235 bp). Our results reveal that exotic populations of the two alien taxa, E. johnstonei and E. antillensis, are not only genetically impoverished due to founder effects, but that, moreover, their native range source-populations exhibit low genetic diversity and inter-population differentiation in the first place. Populations of the endemic E. portoricensis, on the other hand, are genetically more diverse and show marked inter-population differentiation. These observed genetic patterns are consistent with geological processes and invasion histories. We argue that the establishment success of the alien taxa in our model system is better explained by ecological factors and anthropogenic drivers than by genetic diversity. As these factors provide more parsimonious explanations, they should be given priority in management decisions. However, molecular studies with higher resolution are needed to fully test possible genetic and epigenetic components that could promote the invasion process.
Alien amphibians, Anura, D-loop, genetic paradox, Lesser Antilles, population genetics
Understanding the mechanisms of successful invasions is at the heart of invasion biology. More recently, the field has turned to molecular approaches that address their genetic basis (
Evidence from studies that compared genetic diversity of invasive taxa in their native and introduced ranges is ambiguous (
Robber Frogs of the genus Eleutherodactylus Duméril & Bibron, 1841 are a very diverse and species rich (206 recognised species) group of small to medium-sized direct developing frogs that have their distribution centre in the Antilles (
In the present study we investigate the genetic diversity and haplotype distribution of Eleutherodactylus johnstonei across its assumed native range and in selected exotic populations. We compare these data with two congeneric species, E. antillensis (successful alien, native to Puerto Rico) and E. portoricensis (Puerto Rican endemic). We integrate extensive field and laboratory data sets for our focus taxon E. johnstonei with previously published data for E. antillensis and E. portoricensis to test the following assumptions. (1) E. johnstonei goes through genetic bottlenecks resulting in reduced genetic diversity in introduced populations compared to native populations. (2) Successful alien species in our model system (E. johnstonei and E. antillensis) are a priori genetically more diverse with respect to their non-expanding congener (E. portoricensis). We discuss the results in the light of the genetic paradox of biological invasions and with respect to the invasion history and ecology of the species considering previously proposed expansion scenarios.
Within our analytical framework, we integrated three taxon-based data sets including Eleutherodactylus johnstonei (this study,
Field sampling was carried out in the assumed native range of St Lucia (LCA, Feb – Mar 2020) and exotic ranges in Guadeloupe (GLP, Feb – Mar 2020) and in greenhouses of European botanical gardens in Germany, Switzerland and the Netherlands (EUR, May – Aug 2018). Data sets for Colombia (COL) were established in a previous study (
Haplotype distribution and network for E. johnstonei across native and exotic ranges. Bubble diagram of minimum spanning tree in the lower left shows interrelation between the four recovered haplotypes (Ht1, Ht2, Ht3, Ht4), circle size corresponds to sample size for respective Hts across the four regions, number of crossbars on connecting lines denote the number of polymorphic sites separating these haplotypes. Polymorphic sites are illustrated in the box above the haplotype network, numbers refer to positions in the alignment of the 235 bp D-loop fragment. The maps show the proportions of detected haplotypes at each population site, colours represent the haplotypes, circle size represents no. of samples; Europe: U – Utrecht, O – Osnabrück, H – Halle, F – Frankfurt, A – Augsburg, B – Basel, Colombia: CG – Cartagena, BQ – Barranquilla, SM – Santa Marta, MD – Medellin, BG – Bucaramanga, IB – Ibagué, CH – Chinauta, CA – Cali; Guadeloupe: SR – Saint Rose, RS – Rivière-Sens, LG – Le Gosier, GA – Grande Anse, GB – Grande Bourg; Saint Lucia: CS – Castries, MP – Morne Panache, QF - Quilesse Forest, ML – Morne Le Blanc, TR – Forest Ti Rocher.
The D-loop of the mitochondrial control region was chosen as a marker because it is the most polymorphic mitochondrial region (
We performed a systematic NCBI GenBank (https://www.ncbi.nlm.nih.gov/genbank/) search for D-loop sequences of taxa that are congeneric with E. johnstonei and fulfil the following criteria: a) sufficient sample size (minimum N = 48, matching sample size for native range samples of E. johnstonei) and covering both native and exotic range in case of invasive taxa, b) available meta data (localities, etc.) provided in associated publications. Two datasets of Eleutherodactylus portoricensis (
Species | NCBI Genbank Accession no. & date | Distribu-tion | Region | Nsamples / Nsites | Source |
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E. johnstonei | OW993929–OW994041 | native | Saint Lucia (LCA) | 48 / 5 | this study, |
exotic | Guadeloupe (GLP) | 38 / 5 | |||
exotic | Colombia (COL) | 48 / 8 | |||
exotic | Europe (EUR) | 27 / 6 | |||
E. antillensis | JN385299–JN385583, KY636451–KY636487 (03/12/2020) | native | Western Puerto Rico (WPR) | 139 / 28 |
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native | Eastern Puerto Rico (EPR) | 64 / 13 | |||
native | Eastern Islands (EI) | 67 / 14 | |||
exotic | Saint Croix (SCX) | 37 / 5 | |||
exotic | Panama (PAN) | 15 / 3 | |||
E. portoricensis | HM229815–HM229958 (03/12/2020) | endemic | Puerto Rico – Cayey Mountains: | 32 / 3 |
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Cerro de la Tabla (CAY-CT) | 39 / 3 | ||||
Carite State Forest (CAY-CS) | 32 / 4 | ||||
Puerto Rico – Luquillo Mountains: | 15 / 1 | ||||
El Yunque (LUQ-EY) | 26 / 5 | ||||
Pico del Este (LUQ-PE) | |||||
El Torro (LUQ-ET) |
Sequence sets of each species (E. johnstonei, E. antillensis, E. portoricensis) were aligned using ClustalW multiple alignment within BIOEDIT Sequence Alignment Editor 7.2.5 (
To address our hypothesis 1 (genetic bottlenecks) we estimated levels of molecular diversity within E. johnstonei across the four study regions (LCA, GLP, COL, EUR) and to address hypothesis 2 (genetic diversity differences between invasive and non-invasive species) additionally within native localities of all three sister taxa (E. johnstonei, E. antillensis and E. portoricensis). The following molecular diversity parameters were estimated based on pooled samples for an entire region, as well as for each locality within a region. The number of variable sites (s), the number of haplotypes (nHap) and how equally they are distributed (haplotype diversity, HD), the average number of nucleotide differences between two sequences per site (nucleotide diversity, π) and the mean number of alleles per site (A) were analysed. All parameters were calculated with DnaSP v6 (
Populations of E. johnstonei show low molecular diversity and population differentiation across both native and exotic regions. Partial D-loop sequences (235 bp, 161 samples) across the whole sampled range feature only four haplotypes and six variable sites. Moreover, overall nucleotide diversity (0.0059) and haplotype diversity (0.5) are very low. A comparison of the three exotic (GLP: N = 38, COL: N = 48, EUR: N = 27) regions with the assumed native origin (LCA: N = 48) revealed that the latter did not exhibit the highest genetic diversity as originally hypothesised. In fact, molecular diversity within Guadeloupean populations was similar and even higher than in populations from Saint Lucia for all analysed parameters (see Table
Parameters of molecular diversity and population differentiation for E. johnstonei in native and exotic regions. For each region no. of samples (Nsam) and no. of populations (Npop) are given in brackets. nHap: no. of haplotypes (DNAsp), s: no. of variable sites (DNAsp), HD: haplotype diversity (DNAsp), A: mean number of alleles per locus (Arlequin), π: nucleotide diversity (DNAsp), FST: average pairwise FST (DNAsp); for each region average values per population and total values for all samples (in brackets) are given; p-values of Mann-Withney-Wilcoxon tests testing for greater diversity and differentiation in St Lucia against the other regions are illustrated (p < 0.05*, p < 0.01**, p < 0.001***), Mann-Withney-Wilcoxon tests were based on population averages.
Range (Nsam / Npop) | nHap | S | HD | A | π | FST |
---|---|---|---|---|---|---|
St Lucia (48 / 5) native | 1.8 (3) | 2.6 (5) | 0.26 (0.414) | 1.011 (1.021) | 0.004 (0.0067) | 0.279 |
Guadeloupe (38 / 5) exotic | 2.2 (3) | 3.6 (5) | 0.48 (0.553) | 1.015 (1.002) | 0.006 (0.008) | 0.206 |
Colombia (48 / 8) exotic | 1.25* (3) | 0.75* (3) | 0.11* (0.627) | 1.003* (1.023) | 0.001 (0.0047) | 0.443 |
Europe (27 / 6) exotic | 1** (1) | 0** (0) | 0** (0) | 1** (1) | 0** (0) | 0 |
Geographic distribution of the four detected haplotypes across native and exotic ranges of E. johnstonei, as well as the haplotype network and variable sites defining the haplotypes, are illustrated in Fig.
We found molecular diversity and population differentiation to be lowest in successfully colonising alien species. On average, all parameters estimated per native population (nHap, s, HD, A, π, FST) are higher in E. portoricensis as compared to E. johnstonei and E. antillensis. This was also confirmed by Mann-Withney-Wilcoxon tests for all parameters except of FST, which indicate significantly lower population differentiation of E. johnstonei, but not of E. antillensis, as compared to E. portoricensis (see Table
Parameters of molecular diversity and population differentiation for native populations of E. johnstonei and sister taxa. For each species no. of samples (Nsam) and no. of populations (Npop) are given in brackets. nHap: no. of haplotypes (DNAsp), s: no. of variable sites (DNAsp), HD: haplotype diversity (DNAsp), A: mean number of alleles per locus (Arlequin), π: nucleotide diversity (DNAsp), FST: average pairwise FST (DNAsp); for each taxa average values per population and total values for all samples (in brackets) are given; Mann-Withney-Wilcoxon tests were based on population averages.
Species (Nsam/Npop) | nHap | S | HD | A | Π | FST |
---|---|---|---|---|---|---|
E. johnstonei (48/5) successful alien | 1.8 | 2.6 | 0.258 | 1.011 | 0.0038 | 0.279 |
(3) | (5) | (0.414) | (1.021) | (0.0067) | ||
E. antillensis (270/55) successful alien | 1.3 | 0.33 | 0.149 | 1.002 | 0.0007 | 0.438 |
(15) | (12) | (0.546) | (1.055) | (0.0027) | ||
E. portoricensis (144/16) non-invasive, single-island endemic | 5 (54) | 6.1 (33) | 0.806 (0.964) | 1.028 (1.176) | 0.0102 (0.0277) | 0.457 |
p(Ej < Ep) = 0.002** | p(Ej < Ep) = 0.015* | p(Ej < Ep) = 0.002** | p(Ej < Ep) = 0.008** | p(Ej < Ep) = 0.008** | p(Ej < Ep) = 0.04* | |
p(Ea < Ep) = 5.58e-10*** | p(Ea < Ep) = 3.88e-10*** | p(Ea < Ep) = 1.05e-9*** | p(Ea < Ep) = 7.34e-10*** | p(Ea < Ep) = 4.09e-10*** | p(Ea < Ep) = 0.18 |
Haplotype distribution and networks for all model taxa are visualised in Fig.
Comparative haplotype distribution and networks for all species of the Eleutherodactylus model system. Circle sizes correspond to respective sample sizes; pie chart colours correspond to respective populations. Yellow, orange and red correspond to exotic range populations in: EUR – Europe, COL – Colombia, GLP – Guadeloupe for E. johnstonei; PAN – Panama, SCX – Saint Croix for E. antillensis, blue and greenish colours represent native range populations (CS, QF, TR, MP, ML on Saint Lucia for E. johnstonei; WPR – Western Puerto Rico, EPR – Eastern Puerto Rico, EI – Eastern Islands for E. antillensis; LUQ-EY, LUQ-PE, LUQ-ET in the Luquillo Mountains and CAY-CS, CAY-CT in the Cayey Mountains on Puerto Rico for E. portoricensis). Photo sources: E. johnstonei - F. Leonhardt, E. antillensis - A. Lopéz, https://mir-s3-cdncf.behance.net/project_modules/max_1200/c1290514066123.5627cd91e1baf.jpg, E. portoricensis - A.D. Colón Archilla, https://alfredocolon.zenfolio.com/p973584972/h21cf17fc#h21cf17fc.
The Caribbean features America’s most extensive Cretaceous and Cenozoic oceanic-continental tectonic zone and it has the majority of the active volcanic centres of the New World (
The genetic patterns observed in exotic populations of E. johnstonei (see Fig.
Genetic diversity and inter-population differentiation in E. johnstonei’s assumed origin St. Lucia (
Despite the differences between native and introduced populations, overall genetic diversity in E. johnstonei is comparatively low and matches that of the congeneric E. antillensis (
Although it is commonly assumed that high intra-population genetic diversity promotes the adaptive capacity of a species and therefore correlates with invasion success, empirical data does not seem to support this notion (
The existing data strongly support the relevance of ecological and anthropogenic factors that drive the invasion process in our target taxa and explain the establishment success of our focus taxon E. johnstonei. These include: (1) Increased continuous propagule pressure (
Frequent environmental disturbance causes a decrease of genetic diversity in various taxa (
Our empirical results add to an increasing body of evidence showing that successfully invasive species are not genetically more diverse or structured than their non-invasive congeners (
Permission to conduct field work on Saint Lucia was granted by the Government of Saint Lucia, Ministry of Agriculture, Fisheries, Physical Planning, Natural Resources and Co-operatives, Department of Forestry, who also provided logistic support and assistance in the field. Field work in Guadeloupe was carried out under permission of the Republic of France, Ministère de la transition écologique et solidaire and with the approval of DEAL Guadeloupe and the Parc national de la Guadeloupe. We thank A. Kubik, E. Bezault, T. Zozio, and D. Charles for logistic and administrative support. All genetic analyses were conducted in accordance with the Nagoya protocol and registered under ABS-CH-UID: ABSCH-IRCC-FR-251971-1. The study was partially funded through a grant of the Peters Fonds granted by the Deutsche Gesellschaft für Herpetologie und Terrarienkunde. We thank all Botanical Gardens (BG) involved in this study for permission to collect samples and for providing logistic support, particularly S. Renner and T. Haegele (BG Munich), N. Friesen (BG Osnabrück), R. Vonk (BG Utrecht), C. Bayer and H. Steinecke (BG Frankfurt Palmengarten), M. Hoffmann and A. Fläschendräger (BG Halle), R. Omlor (BG Mainz), B. Winzenhörlein (BG Augsburg), B. Erny, F. Bärtschi and D. Meierhofer (BG Basel). We thank J. D. Jimenez-Bolaño for assistance during field work and M. Vamberger for assistance with data handling.
Detailed information on all populations of the three congeneric taxa used in the molecular data sets of this study
Data type: Occurences.
Explanation note: For each population of the three taxa, the following details are given: region, site, coordinates (if available), NCBI GenBank Accession numbers, source publication.