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Molecular evidence of hybridization in sympatric populations of the Enantia jethys complex (Lepidoptera: Pieridae)

  • Jovana M. Jasso-Martínez,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Current address: Colección Nacional de Insectos, Instituto de Biología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico

    Affiliation Laboratorio de Genética y Evolución, Departamento de Biología Celular, Universidad Nacional Autónoma de México, Ciudad de México, Mexico

  • Salima Machkour-M’Rabet ,

    Roles Formal analysis, Funding acquisition, Investigation, Methodology, Writing – original draft, Writing – review & editing

    nitxin@ciencias.unam.mx (ANCS); smachkou@ecosur.mx (SMM)

    Affiliation Laboratorio de Ecología Molecular y Conservación, Departamento de Conservación de la Biodiversidad, El Colegio de la Frontera Sur, Chetumal, Quintana Roo, Mexico

  • Roger Vila,

    Roles Funding acquisition, Investigation, Resources, Writing – original draft, Writing – review & editing

    Affiliation Institut de Biologia Evolutiva (CSIC-UPF), Barcelona, Spain

  • Rosario Rodríguez-Arnaiz,

    Roles Funding acquisition, Resources, Writing – review & editing

    Affiliation Laboratorio de Genética y Evolución, Departamento de Biología Celular, Universidad Nacional Autónoma de México, Ciudad de México, Mexico

  • América Nitxin Castañeda-Sortibrán

    Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Project administration, Supervision, Writing – original draft, Writing – review & editing

    nitxin@ciencias.unam.mx (ANCS); smachkou@ecosur.mx (SMM)

    Affiliation Laboratorio de Genética y Evolución, Departamento de Biología Celular, Universidad Nacional Autónoma de México, Ciudad de México, Mexico

Molecular evidence of hybridization in sympatric populations of the Enantia jethys complex (Lepidoptera: Pieridae)

  • Jovana M. Jasso-Martínez, 
  • Salima Machkour-M’Rabet, 
  • Roger Vila, 
  • Rosario Rodríguez-Arnaiz, 
  • América Nitxin Castañeda-Sortibrán
PLOS
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Abstract

Hybridization events are frequently demonstrated in natural butterfly populations. One interesting butterfly complex species is the Enantia jethys complex that has been studied for over a century; many debates exist regarding the species composition of this complex. Currently, three species that live sympatrically in the Gulf slope of Mexico (Enantia jethys, E. mazai, and E. albania) are recognized in this complex (based on morphological and molecular studies). Where these species live in sympatry, some cases of interspecific mating have been observed, suggesting hybridization events. Considering this, we employed a multilocus approach (analyses of mitochondrial and nuclear sequences: COI, RpS5, and Wg; and nuclear dominant markers: inter-simple sequence repeat (ISSRs) to study hybridization in sympatric populations from Veracruz, Mexico. Genetic diversity parameters were determined for all molecular markers, and species identification was assessed by different methods such as analyses of molecular variance (AMOVA), clustering, principal coordinate analysis (PCoA), gene flow, and PhiPT parameters. ISSR molecular markers were used for a more profound study of hybridization process. Although species of the Enantia jethys complex have a low dispersal capacity, we observed high genetic diversity, probably reflecting a high density of individuals locally. ISSR markers provided evidence of a contemporary hybridization process, detecting a high number of hybrids (from 17% to 53%) with significant differences in genetic diversity. Furthermore, a directional pattern of hybridization was observed from E. albania to other species. Phylogenetic study through DNA sequencing confirmed the existence of three clades corresponding to the three species previously recognized by morphological and molecular studies. This study underlines the importance of assessing hybridization in evolutionary studies, by tracing the lineage separation process that leads to the origin of new species. Our research demonstrates that hybridization processes have a high occurrence in natural populations.

Introduction

At the beginning of 20th century, hybrid specimens were considered rare in nature and a phenomenon with little evolutionary importance [1]. Federley [2] pointed out that hybrids between the butterflies Pygaera pigra and P. curtula were chromosomally incompatible and short-lived. Current studies have shown that hybridization is not a rare process in nature and is evidence of the evolutionary speciation process, wherein population splitting lead to the subsequent divergence of entire lineages [3]. In animal species, hybridization is common, with hybridization reported in at least 10% of all animal species, predominantly in the more recent species [4]. Hybridization can be defined as the production of viable hybrids from interspecific mating, and introgression as the integration of foreign genetic material from one species into another through backcrossing [5]. Hybridization events have been repeatedly demonstrated in natural butterfly populations. For example, Lushai and colleagues [67] revealed the existence of a hybrid zone between the tropical Danaus chrysippus (L.) subspecies. They suggested that hybridism was reinforced by the action of a bacterial symbiont male-killer, Spiroplasma, which forced females in female-biased populations to mate with heterotypic males. Furthermore, these studies suggest that hybridization events could result in polyphyletic species. Similarly, Mullen and colleagues [8] demonstrated the existence of a hybrid zone between mimetic and non-mimetic populations of the polytypic Limenitis arthemis-astyanax species complex using mitochondrial and nuclear sequences. Other studies have demonstrated hybridization and introgression events among Neotropical Heliconius species using mitochondrial and nuclear sequences [9], DNA sequences and amplified fragment length polymorphism (AFLP) [10], and genome-wide genotypic and DNA sequences [11], among others. These studies have shown that interspecific gene flow may remain high even after speciation, and that these events (hybridization and introgression) are important factors for the evolution of animal species, as well as a source of genetic variability. Therefore, a new view of hybridization has emerged and is currently regarded as not only forces that oppose diversification and species stability, but to also have the potential to increase biodiversity [1213].

Enantia is a genus of butterflies belonging to the Pieridae family and composed of nine species with a Neotropical distribution [14]. In Mexico, Llorente-Bousquets [15] defined the Enantia jethys complex to be composed of three species with a sympatric distribution that encompasses the Mexican Gulf slopes of the Sierra Madre Occidental mountain range: Enantia jethys Boisduval, 1836; Enantia mazai Llorente-Bousquets, 1984; and Enantia albania Bates, 1864. Enantia mazai and E. jethys are endemic to Mexico [1415]. The principal characteristics defining this species complex are genitalia morphology and wing pattern pigmentation [15]. Specifically, male individuals of each species in the Enantia jethys complex present characteristic wing pigmentation patterns with seasonal variation (i.e., in the wet season they have tonalities closer to orange, while in the dry season, tonalities are closer to yellow) [15]. In addition, to distinguish between female E. jethys and E. mazai, a detailed examination of the wing pigmentation patterns is required. Besides occurring in sympatry, all species of the complex share the same habitat (principally cloud forests), and they oviposit on the same host plants (Inga spp.) [15].

For over a century, there have been numerous debates on the identification of the species belonging to the Enantia jethys complex (see [15] for a review). More recently, molecular studies have contributed to the understanding of the relationship among the different species in Mexico. Castañeda-Sortibrán [16], using allozymes, confirmed the existence of three distinct species (E. albania, E. jethys, and E. mazai) in the sympatric area of the Mexican Gulf slope, with signals of gene flow among species. Using the mitochondrial cytochrome c oxidase subunit I (COI), Jasso-Martínez and colleagues [17] identified some specimens morphologically indistinguishable from E. albania (cryptic species), but forming a sister clade of E. mazai, suggesting the possibility of recent speciation or even hybridization. The existence of hybridization is supported by field expeditions that have permitted the observation of two separate events of interspecific mating: one between male E. jethys and female E. mazai, and another between male E. albania and female E. jethys (personal observation, Castañeda-Sortibrán and Jasso-Martínez in this paper), suggesting that hybridization may be a relatively frequent process in the Enantia jethys complex.

In this study, we employed the molecular markers commonly used in phylogenetic studies (mitochondrial and nuclear sequences), as well as inter-simple sequence repeat (ISSR) markers to examine contemporary genetic exchange among the butterflies of the Enantia jethys complex. Identification of fast molecular markers, such as ISSR, are the principal tools to study hybridization processes, and are recommended instead of using microsatellites [18]. Hybridization and introgression events have been successfully studied through ISSRs in many taxonomic groups [1922], including butterflies [23]. The ISSR-PCR method is a molecular technique used to screen a large part of the genome without prior knowledge of the sequences. This method provides highly reproducible results and generates abundant polymorphisms in many systems [20]. The ISSRs are dominant molecular markers, where the absence of a band is interpreted as the loss of a locus/allele through either the deletion of the SSR site or a chromosomal rearrangement [24]. The use of ISSR to study species of Lepidoptera is relatively recent, yet abundant (not an exhaustive list: [2531]).

In summary, considering the hypothesis of hybridization events in the Enantia jethys complex, we used a set of molecular markers (one mitochondrial and two nuclear sequences, and ISSR) to: i) confirm the hypothesis of the hybridization process in the butterfly complex, and, in the event our hypothesis is correct, to evaluate the extent of this process; ii) identify the directionality of the introgression; iii) determine if genetic diversity presents variation between admixed and non-admixed individuals (i.e., hybrids and non-hybrids) for each morphospecies; and iv) evaluate, using different molecular markers, the monophyly state of the butterfly complex. Finally, we discuss different hypotheses to explain the evolutionary history of this complex.

Materials and methods

Ethics statement

Species involved in this study are not endangered or protected in the study area, and no specific permission is required for scientific research. No specific permission was required for our fieldwork in any location visited.

Butterfly samples

All butterfly individuals were collected in the central region of Mexico in a total of four different localities in two states: Veracruz (Colonia Álvaro Obregón: 19°24' N, 96°58’W; Camino a la Cascada Texolo: 19°24'N, 96°59'W; Finca Mariposa: 19°23'N, 96°59'W; and Puebla: 20°15'N, 97°53'W) (Fig 1 and Table 1). All butterflies were collected in mountain cloud forests during 2015 (April—September), where the mean monthly temperature over this period varied from 23°C to 28.5°C according to locality. Butterflies were collected during consecutive days from 9:00 am to 4:00 pm using entomological nets. All individuals from the Enantia jethys complex were kept separately in glassine bags, labeled and geo-referenced (mobile navigation application: Locus Map). Other species of butterflies captured in the nets were released. All samples were brought back to the “Laboratorio de Genética y Evolución” (Genetics and Evolution Lab) of the “Universidad Nacional Autónoma de México” (UNAM) for their morphological identification; subsequently, abdomens from all individuals were cut, placed in absolute ethanol, and finally conserved at 4°C until DNA extraction. Voucher specimens were deposited at the “Museo de Zoología de la Facultad de Ciencias” (Science Faculty Museum of Zoology) UNAM (MZFC-UNAM) in Mexico City.

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Fig 1. Map of localities in Veracruz and Puebla (Mexico) where samples of the Enantia jethys complex butterflies were collected.

Localities in Veracruz: Colonia Álvaro Obregón (CAO), Camino a la Cascada Texolo (CCT), and Finca Mariposa (FM). Locality in Puebla (PU). Total number of individuals collected at each locality belonging to the three morphospecies (n).

https://doi.org/10.1371/journal.pone.0197116.g001

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Table 1. Sampling information for the three species of the Enantia jethys complex considered in this study and collected in central Mexico.

https://doi.org/10.1371/journal.pone.0197116.t001

Species identification (Fig 2) was based on color wing phenotypes using the descriptions from Llorente-Bousquets and colleagues [15]. Considering the difficult and sensitive identification of females (from E. jethys and E. mazai), the following steps were taken to ensure correct identification. First, we identified all males, which have wing pigmentation patterns that differ among the three species. Subsequently, females of E. albania were easily identified (presence of a diagnostic mark on the posterior wings), and separated from the remaining females. Finally, females of E. jethys and E. mazai were separated by careful observation with a stereoscopic microscope (Stemi DV4, Zeiss) and photographing each specimen. Once morphospecies (males and females) were identified, all individuals were correctly labelled and deposited (physically and in photograph) in the MZFC-UNAM collection.

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Fig 2. Female and male phenotypes for each morphospecies of the Enantia jethys complex in Mexico.

Enantia albania (A), Enantia jethys (B), Enantia mazai (C), males (1), females (2) (photos by JM Jasso-Martínez).

https://doi.org/10.1371/journal.pone.0197116.g002

DNA extraction and genotyping

DNA was extracted from a small posterior part of the abdomen at the “Laboratorio de Ecología Molecular y Conservación" (Laboratory of Molecular Ecology and Conservation) at the “El Colegio de la Frontera Sur” research center in Chetumal, Mexico. Each DNA sample was rehydrated in ultra-pure water for one hour before extraction, which was performed using a Wizard Genomic DNA Purification Kit (Promega) following the manufacturer’s instructions. Afterwards, DNA products were stored at -20°C until amplification. Concentration of genomic DNA was determined with the Qubit®2.0 fluorometer (Invitrogen), and quality was tested using agarose gel (1% with TAE buffer 1X; Promega) and the post-gel staining method using GelRed™ (Quimica Valaner).

Mitochondrial DNA sequences.

Mitochondrial DNA sequences were obtained at the Butterfly Diversity and Evolution Lab (Institut de Biologia Evolutiva, Barcelona, Spain). GenBank accession numbers are provided in S1 Table. They consisted of the COI gene that was performed on a subset of data, which consisted of 83 individuals. The target region was amplified using primers with demonstrated efficacy in butterfly studies [17, 3233], amplifying a fragment of ~657 pb: LepR1 (5´-TAAACTTCTGGATGTCCAAAAAATCA-3’) and LepF1 (5’-ATTCAACCAATCATAAAGATATTGG-3’). The PCR mix consisted of 14.4 μl ddH2O, 5 μl 5X Green Buffer, 0.5 μl dNTPs mix, 0.1 μl Taq Polymerase 5 U/μl (Promega), 2 μl MgCl2, 2 μl of template DNA, and 0.5 μl of each primer (10 μM). Amplifications were carried out under specific conditions: initial denaturation at 92°C for 60 s, 35 cycles of denaturation at 92°C for 15 s, primer annealing temperature at 49°C for 45 s, an extension at 62°C for 150 s, and a final extension at 62°C for 7 min. Amplification products were visualized by electrophoresis using 3 μl of PCR products on a 1% agarose gel with SBYR-safe staining, at 80 V for 30 min. PCR products were sent for purification and sequencing to Macrogen Inc. (Seoul, Korea).

Nuclear DNA sequences.

Two different nuclear genes were used: the ribosomal protein subunit 5 (RpS5), a relatively fast-evolving gene [34], and the wingless gene (Wg), involved in wing pattern formation (eyespot center formation) [35]. RpS5 sequence was performed on a subset of data that consisted of 74 individuals. The target region was amplified using the hybrid primers with demonstrated efficacy in butterfly studies [3637], amplifying a fragment of ~613 pb [38]: HybRpS5deg (5'-TAATACGACTCACTATAGGGATGGCNGARGARAAYTGGAAYGA-3'; forward) and HybRpS5deg (5'-ATTAACCCTCACTAAAGCGGGTTRGAYTTRGCAACACG-3'; reverse). A subset of data, consisting of 77 individuals, resulted in good sequences for Wg using primers with demonstrated efficacy in butterfly studies [3940], amplifying a fragment of ~400 pb.: LepWg1 (5'-GARTGYAARTGYCAYGGYATGTCTGG-3'; forward) and LepWg2 (5'-ACTICGCARCACCARTGGAATGTRCA-3'; reverse).

The PCR mix consisted of 14.15 μl (RpS5) and 14.4 μl (Wg) ddH2O, 5 μl 5X Green Buffer, 0.5 μl dNTPs mix, 0.15 μl (RpS5) and 0.1 μl (Wg) Taq Polymerase 5 U/μl (Promega), 2.2 μl (RpS5) and 2 μl (Wg) of MgCl2, 2 μl of template DNA, and 0.5 μl of each primer (10 μM). Amplifications were carried out under specific conditions: initial denaturation at 95°C for 6 min(RpS5) and 3 min (Wg), 40 cycles of denaturation at 95°C for 30 s, primer annealing temperature at 51°C for 30 s (RpS5) and 60 s (Wg), an extension at 72°C for 90 s, and a final extension at 72°C for 10 min (RpS5) and 6 min (Wg). The protocol for visualizing the PCR products was identical to mitochondrial DNA. The PCR products were sent for purification and sequencing to Macrogen Inc. (Seoul, Korea). GenBank accession numbers are presented in S1 Table.

ISSR nuclear gene.

We tested a total of 24 different ISSR markers. The selection of markers for this study was based on the identification of a particular band profile to facilitate the identification of each morphospecies, in addition to presenting good resolution and a high number of bands. Two ISSR markers were retained for our study: (AG)8Y and (GA)8C (Table 2).

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Table 2. Characteristics of ISSR primers used for studying the Enantia jethys complex.

https://doi.org/10.1371/journal.pone.0197116.t002

PCR amplifications were performed in 15 μl reaction volume containing ~20 ng of template DNA, 1.5 μl 5X Green Buffer (Promega), 200 μM dNTP (dNTP mix; Promega), 3 mM MgCl2 (Promega), 1 μM of primer (Integrated DNA Technologies), and 1.25 U GoTaq Flexi DNA Polymerase (Promega); finally, the volume was adjusted with ultrapure water. Amplifications were conducted in a T100 Thermal Cycler (Bio-Rad™): initial denaturation step at 94°C for 4 min, 39 cycles of denaturation at 94°C for 45 s, annealing temperature (Ta) 54°C or 56°C depending on the ISSR primer (Table 2), extension temperature at 72°C for 2 min, and a final extension at 72°C for 10 min. DNA banding patterns were visualized by electrophoresis, performed with 3 μl of amplified products on a 2% agarose gel using 1X TAE buffer and post-staining with GelRed™ (Biotium), at 110 V for 2 h. A 100 bp DNA Ladder (Promega) was used to estimate amplification product lengths. Fragment (band) patterns were visualized and digitized using an imaging system (PhotoDoc-it, UVP®).

DNA sequence analyses

Chromatograms of the forward and reverse sequences were edited and assembled using Geneious R9 [41], and sequences were then aligned with Geneious R9 and Mafft online [42].

Population genetic parameters were determined for each of the three morphospecies (E. albania, E. jethys, and E. mazai) for mitochondrial and nuclear genes. Program DnaSP 5.10.1 [43] was used to determine the number of haplotypes (nHap), haplotype diversity (h, also called genetic diversity), and nucleotide diversity (π). To determine the genetic structure among species, an analysis of molecular variance (AMOVA; 10,100 permutations) was performed using the Arlequin program 3.5 [44] under the Tamura and Nei (TrN) model, the best-fit model for nucleotide substitution, as selected by the corrected Akaike Information Criterion (AICC) in jModelTest 2.1.9 [4546]. Haplotype network analyses were performed for nuclear and mitochondrial sequences with Network software [47] though the probabilities method with the algorithm Median Joining.

For each matrix of DNA sequences, Bayesian inference was conducted in MrBayes 3.2 [48] over the Cipres web platform [49]. We used the reversible jump technique for selecting the best substitution model [50] and considered a gamma distribution with four categories and a percentage of invariant sites; the MCMCMC chains were run for 15 million generations, and the first 25% of the trees (burn-in) were discarded. A consensus tree was calculated after burn-in, and the posterior probabilities summarized in the MrBayes consensus tree were indicated on the nodes.

We performed a molecular clock analysis among species using a relaxed clock approximation with Beast 1.8.2 [51]. The analysis was performed over the web platform Cipres [49] using mean and standard deviation of the COI marker per Papadopoulou and colleagues [52]. We ran the analysis for 100 million generations. The ESS values were revised on Tracer software [51]. Trees sampled after burnin were used to construct the Maximum Clade Credibility Tree in the TreeAnotator software included in the Beast package.

ISSR analysis

The ISSRs were treated as dominant markers; amplified fragments were scored as 1 (presence of a band represents a dominant allele) or 0 (absence represents a recessive allele). With this principle, a binary data matrix was generated for all individuals and the two ISSR markers used. Only bands that could be scored consistently among localities, and individuals that presented genetic information for all primers, were used for analysis. This can explain the low discrepancy between the numbers of collected individuals, and the number of individuals used in our analysis.

All individuals were classified in one of the three morphospecies based on their genetic ISSR profile; after which, the number of individuals of each morphospecies was compared by wing color phenotype and ISSR profile identification. For each morphospecies, we determined the parameters using GenAlex 6.5 [5354] and Popgene 1.31 software [55], considering all localities together and individually: total number of bands (TB), number of rare bands (RB), number of private bands (PB), percentage of polymorphic loci (%P), and Nei’s gene diversity (h). Furthermore, the percentage of polymorphic loci (%P) and Nei’s gene diversity (h) were determined for “no-admixture” individuals and “admixture” individuals, considering all localities together and individually, using Popgene 1.31 software. A one-way analysis of variance (ANOVA) was used to evaluate the differences in genetic diversity (h) among the three morphospecies, considering all localities together and individually, among no-admixture and admixture individuals for each morphospecies, and for each morphospecies among localities, using Statistica7.0. To visualize the relationship among individuals from the three morphospecies, a principal coordinate analysis (PCoA) was performed in GenAlex 6.5.

The level of genetic differentiation among morphospecies was evaluated through the level of gene flow (Nm) and PhiPT parameters (ΦPT), an analogue to standardized FST for binary data, determined for pairs of morphospecies with 9999 permutations via AMOVA analysis. Analyses were performed using Popgene 1.31 and GenAlex 6.5 programs.

To evaluate the level of genetic homogeneity for each morphospecies, we performed a Bayesian analysis implemented in Structure v2.3.3 [5658]. This method was designed to identify K (unknown) groups (or clusters), characterized by a set of allele frequencies for each locus, followed by assigning each individual, with a probability (qi), to one group or more, if group genotypes indicate that they are admixed. In this study, we did not look for the optimal number of populations (K), but we worked with a K = 3, which corresponds to the a priori three morphospecies, identified by wing phenotypes. Equally, considering the a priori morphospecies, we ran Structure software with the no admixture as the ancestry model, and the allele frequencies as the correlated models. The program was run 10 times for K = 3 to verify the homogeneity of results; for each run, the Markov chain Monte Carlo (MCMC) algorithm was run with a burn-in period of 100,000 steps, followed by 100,000 steps. Each genotype individual was assessed and allocated to one of the three clusters based on values of membership probability (qi). Furthermore, each individual was assigned to only one cluster if qi > 0.90 (genetically “pure” individuals considered as no-admixture), otherwise they were associated with two or more clusters (admixture individuals) [19].

Finally, we performed a mean distance analysis (minimum evolution) using a heuristic search for an optimal tree, carried out with tree bisection and reconnection branch swapping. Distance analysis was performed using Paup version 4.0b10 [59] and the tree was displayed using TreeView 1.5 [60]. Negative branch lengths were allowed, but set to zero for tree-score calculation. The steepest descent options were not in effect. Starting tree(s) were obtained via neighbor joining, and bootstrap values were calculated under the same criteria.

Results

A total of 342 butterflies in the Enantia jethys complex were collected and classified according to their morphological characteristics, resulting in 76 E. albania (44 females and 32 males), 123 E. jethys (53 females and 70 males), and 140 E. mazai (45 females and 95 males) (Table 1). A total of 100 randomly selected individuals were sequenced, out of which 83 provided high-quality DNA sequences for the COI, 75 for RpS5, and 77 for Wg genes. Furthermore, 339 samples amplified correctly with ISSR markers and were used for analysis.

DNA sequences

A variable number of haplotypes (nHap) was observed following molecular markers, demonstrating the lowest number for COI (from 2 to 4) and highest for RpS5 (14 and 26) (Table 3). The COI marker showed a very low variability of nHap among the three species, in contrast to the two nuclear genes. The RpS5 gene and Wg gene showed the highest nHap for E. jethys and E. albania, respectively. Haplotype networks (S1 Fig) of COI and RpS5 showed a clear separation among the three morphospecies, whereas for the Wg haplotype network, E. jethys and E. mazai share its haplotypes. Generally, haplotype diversity is high and relatively homogeneous among molecular markers and species, ranging from 0.5 to 0.9 (Table 3). Only E. jethys presented a very low value of haplotype diversity with respect to the COI gene. Nucleotide diversity did not show a systematic pattern that followed molecular marker or species. All values ranged from 0.002 to 0.005, with a tendency for the lowest values with the COI gene.

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Table 3. Indices of haplotype diversity for the three morphospecies of the Enantia jethys complex based on mitochondrial (COI) and nuclear (RpS5 and Wg) DNA sequences.

https://doi.org/10.1371/journal.pone.0197116.t003

Each molecular marker, based on sequences (Wg, RpS5, and COI), provided different trees (Fig 3), leading to different phylogenetic hypotheses. In the Wg tree (Fig 3A), two clades were observed. In the first clade, all individuals were identified as E. mazai (blue color) and E. jethys (green color) morphospecies; they were clustered with a very high posterior probability (PP) from Bayesian inference (BI). The second clade was composed only of individuals that were identified as E. albania morphospecies (red color). Both molecular markers (RpS5 and COI) define three different clades corresponding to the three morphospecies, as previously reported [1517]; however, the relationship among clades for each tree was different. The RpS5 tree (Fig 3B) suggests that E. albania is the sister clade of E. jethys, whereas E. mazai constitutes a clade located at the base of the tree. Furthermore, the COI tree (Fig 3C) shows that E. jethys and E. mazai are sister groups, whereas E. albania is located at the base of the tree.

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Fig 3. Consensus trees obtained by Bayesian inference for the Enantia jethys complex based on DNA sequences.

(A) Wg, (B) RpS5, and (C) COI. Branch colors of the phylogenetic trees correspond to morphospecies identification: E. albania (red), E. mazai (blue), and E. jethys (green). Asterisks indicate the genetic profile obtained by Structure analysis based on ISSR molecular markers, where a red asterisk indicates a genetic component characteristic of E. albania, a blue asterisk indicates a genetic component of E. mazai, and a green asterisk indicates a genetic component of E. jethys. Presence of two different asterisks indicates an individual with mixed genetic components, based on Structure results.

https://doi.org/10.1371/journal.pone.0197116.g003

The concatenated analysis of the three molecular markers (S2 Fig) was consistent with our COI results (Fig 3C). There was good separation among the three species, where E. albania is a sister clade of the two other species. The molecular clock analysis (S3 Fig) identified the recent origin of the Enantia jethys complex species, starting around 1 Mya.

The AMOVA results varied greatly between mitochondrial and nuclear genes (S2 Table). The mitochondrial marker showed a high and significant level of differentiation among the three morphospecies, whereas both nuclear markers showed a lower but significant level of differentiation.

ISSR

Of the 342 Enantia butterflies collected, 339 samples amplified correctly and were used for the ISSR analysis. All ISSR data are available in S3 Table. We obtained a high number of individuals for each morphospecies (76 to 140; Table 1) and a good number at each locality (Table 1), except for Puebla, where we obtained only 15 individuals belonging to two morphospecies (E. albania and E. mazai). The two ISSR molecular markers produced clear and reproducible fragments (loci) with a total of 66 ISSR fragments scored. We could not identify private bands (used to characterize species; Table 4); however, we identified some band patterns (generally two bands nearly always together; Fig 4) that allowed us to classify individuals as one of the morphospecies. The observation of ISSR band patterns enabled us to identify many individuals with mixed patterns (admixture individuals) (Fig 4).

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Fig 4. Identification of admixture and no-admixture (i.e., hybrids and non-hybrids) individuals of the Enantia jethys complex through ISSR profiles using (AG)8Y primers.

Enantia albania (E. a), Enantia jethys (E. j), Enantia mazai (E. m). Hybrid individuals identified by Structure analysis: hybrid between E. albania and E. jethys (E. a × E. j), hybrid between E. albania and E. mazai (E. a × E. m), and hybrid among the three morphospecies (E. a × E. j × E. m). Information about morphospecies (line 1) and information about genetic profile (line 2) obtained by Structure analysis.

https://doi.org/10.1371/journal.pone.0197116.g004

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Table 4. Genetic diversity in the Enantia jethys complex based on ISSR markers.

https://doi.org/10.1371/journal.pone.0197116.t004

The use of the ISSR band pattern allowed the correct identification of the majority of individuals (93.3%). Out of a total of 76 E. albania collected, 90.8% (n = 69) were confirmed by molecular ISSR technique. From the 123 E. jethys individuals, 97.6% (n = 120) were confirmed, and from the 140 E. mazai individuals, 88,6% (n = 123) were confirmed. Generally, polymorphism is very high, demonstrating values above 90% for each morphospecies (Table 4). If we consider all localities together, the morphospecies E. jethys presents a significantly higher genetic diversity than the other morphospecies, whereas E. mazai demonstrates a significantly lower genetic diversity (ANOVA test: F195,2 = 13.8, P < 0.001) (Table 4). For each locality, values of polymorphism and genetic diversity of each morphospecies remained similar to those observed for all localities together, even with a decrease in the sampling size. Genetic diversity was not significantly different among localities for the three morphospecies (E. albania: F261,2 = 0.19, P = 0.82; E. jethys: F261,2 = 0.68, P = 0.51; E. mazai: F260,3 = 1.49, P = 0.22).

Graphical visualization of the relationship between the three morphospecies, through PCoA analysis, revealed good separation among morphospecies; however, there was an overlapping zone regarding individuals (Fig 5). After identification through the Structure analysis, hybrid and non-hybrid individuals were removed, and the new PCoA clearly separated the three morphospecies (S4 Fig).

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Fig 5. Two-dimensional scatter plot (PCoA) for Enantia jethys complex butterflies obtained through ISSR data.

Colors represent each morphospecies: E. albania (red), E. jethys (green), and E. mazai (blue).

https://doi.org/10.1371/journal.pone.0197116.g005

Both genetic differentiation parameters (Nm and ΦPT) showed the same tendency: a lower level of differentiation between E. albania and the two other morphospecies (E. jethys and E. mazai), than between E. jethys and E. mazai (Table 5).

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Table 5. Genetic differentiation among sympatric morphospecies of the Enantia jethys complex.

https://doi.org/10.1371/journal.pone.0197116.t005

Genetic structure results obtained with the software Structure identified individuals that represent a discrepancy between morphospecies and genetic profile (Fig 6). Based on these results, all individuals were classified as “non-hybrids” if 100% of its membership coefficient (qi) corresponded to the same morphospecies. They were classified as “admixture” when individuals presented a genetic profile belonging to other morphospecies, or when individuals had two or more genetic components. Enantia albania had the lowest level of hybrid individuals (17%), followed by E. jethys with 24%, whereas over half of E. mazai individuals (53%) were classified as hybrids. Each morphospecies presented individuals with a genetic profile belonging completely to another morphospecies, and individuals that presented a genetic profile with two, or sometimes three, different genetic components (Fig 6). Notably, a unique profile that had not been observed was the combination between the E. jethys and E. mazai profiles (blue and green together; Fig 6). Polymorphism and genetic diversity of hybrids were lower than for non-hybrids of E. albania and E. jethys; however, significant differences were only demonstrated for E. jethys. Enantia mazai hybrids showed a significantly higher genetic diversity than non-hybrids (Table 4). At the locality, E. albania did not present significant differences in genetic diversity between hybrids and non-hybrids. Enantia jethys showed a systematic, significant decrease in genetic diversity of hybrids, while E. mazai presented a systematic increase in genetic diversity of hybrid individuals (Table 4).

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Fig 6. Bayesian analysis of the Enantia jethys complex computed by Structure software 2.3.3 with ISSR data.

Results for K = 3 correspond to the three identified morphospecies: E. albania in red, E. jethys in green, and E. mazai in blue color. Each individual is represented by a single vertical line broken into K segments of length, proportional to the estimated membership probability (qi) in the K clusters.

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If we consider non-hybrid and hybrid individuals from the three morphospecies at each locality (Fig 7), the three localities from Veracruz present a very similar proportion of hybrids: Colonia Álvaro Obregón 27%; Camino a la Cascada Texolo 33%; and Finca Mariposa: 35%. The Puebla locality presented a very high proportion of hybrids (87%).

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Fig 7. Map of the percentage of non-hybrid and hybrid individuals for the three morphospecies of the Enantia jethys complex in the sampled localities.

Enantia albania (red), E. mazai (blue), and E. jethys (green). Non-hybrid individuals (full color); hybrids (hatched color); the number in each pie corresponds to the number of individuals belonging to each category.

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From the total number of hybrid individuals (n = 117), two kinds of individuals could be distinguished: 1) individuals with only one genetic component (but different from its morphospecies), which represent 37% (n = 43); and 2) individuals with two, or three genetic components, representing 63% (n = 74). Different kinds of genetic profile combinations were found (Table 6). One individual presented a mix of the genetic profile from the three morphospecies, but interestingly no individuals combining E. jethys and E. mazai were found. Notably, almost all hybrid individuals presented an E. albania genetic component (96%, n = 112), whereas the genetic components of E. jethys and E. mazai were found in low and similar proportions (38% and 30%, respectively).

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Table 6. Genetic composition of the hybrids found in the Enantia jethys complex in Mexico based on Bayesian analysis with structure software.

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The results of the distance analysis cluster (Fig 8) showed a clear separation of the three morphospecies; however, all bootstrap values were very low. The general topology obtained by cluster analysis corresponded to the classification of individuals obtained by Structure analysis (Fig 6).

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Fig 8. Tree obtained by distance analysis for the Enantia jethys complex using ISSR data.

(A) Parsimony tree for the three morphospecies: E. albania (red); E. mazai (blue); and E. jethys (green). Colored asterisks correspond to the genetic profile obtained by Structure analysis. To improve the understanding of the tree, we present a zoom of each section of the tree corresponding to each morphospecies: (A1) E. albania zone of the tree (red section); (A2) E. mazai (blue section); and (A3) E. jethys (green section).

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Discussion

Genetic diversity in the Enantia jethys complex

The levels of polymorphism found through ISSRs in the species of the Enantia jethys complex were equal or higher than those reported by other authors for butterflies [28, 3031, 61]. Heterogeneous environments and gene exchange among populations (high connectivity) may lead to high levels of genetic variability (i.e., polymorphism) [6263], for example P = 100% [26]. However, species with lower dispersal rates may attain lower values of polymorphism such as P ≤ 85% [29, 31]. Species of the Enantia jethys complex have limited flight capacity [15], which implies low dispersal rates among populations, and therefore probably cannot explain our high level of genetic diversity. Even if no formal studies on the abundance and population density of the Enantia jethys complex exist, we collected around 1,500 Enantia individuals in the field. This suggests a high population density, which could explain the high level of polymorphism.

High genetic diversity in butterflies has been associated with a wide geographic territory and the possibility of populations being isolated from others throughout evolutionary time. For example, Papilio machaon (Lepidoptera: Papilionidae) shows high haplotype (h) and nucleotide diversity (π) (h = 0.856, π = 0.0084) [64], as does Aglais urticae (Lepidoptera: Nymphalidae) (h = 0.9647, π = 0.00983), using mtDNA [65]. The intermediate levels of genetic diversity observed for species of the Enantia jethys complex could reflect their relatively small distribution ranges.

Hybridization in the Enantia jethys complex

In contrast to DNA sequences, ISSR molecular markers provided evidence on the hybridization process in the Enantia jethys complex. Although some studies demonstrated hybridization with mitochondrial DNA sequences (COI) [6667], these hybridization processes have an ancient origin. The choice of molecular markers in hybridization studies is fundamental, considering that genetic isolation is a characteristic of some regions of the genome and not of the entire genome [68]. Some markers may hybridize and/or introgress further/faster than others [68]. This can explain the differences in results between ISSR and DNA sequences. ISSR allows us to observe multilocus variation at many independent loci (random primer amplifying nuclear noncoding region), while DNA sequences show variation at a single locus (with results potentially more affected by natural selection and stochastic effects, and generally showing lower variability [69]) [70]. Consequently, ISSR molecular markers are more useful in identifying hybrids [71] and studying biological processes (e.g., diversification, dispersion, and hybridization) for species of relatively recent origin [7274], like the hybridization processes observed in the Enantia jethys complex, which could be considered contemporary. Llorente-Bousquets [15] suggested that the Enantia jethys complex is a very recent group. Our molecular clock analysis supports this hypothesis, suggesting that the species of the Enantia jethys complex form a clade with a recent divergence starting around 1 Mya.

Our molecular results suggest a directional pattern for hybridization from E. albania to E. jethys and E. mazai. Some field observations (e.g., mating between species) combined with molecular information support this hypothesis. First, in the field, interspecific mating events were observed between E. albania and E. jethys, and between E. mazai and E. jethys, but no genetic profiles corresponding to a combination of E. jethys and E. mazai were identified among the 117 hybrid individuals detected in this study. Second, very few hybrids were observed in the E. albania group; and third, all hybrid individuals from the two other morphospecies contained a genetic component of E. albania. These results could suggest some reproductive barriers among species of the complex and differences in the viability of hybrids, with the existence of a prezygotic barrier (occuring after mating or gametic contact, thereby reducing the probability of fertilization [75]) between E. mazai and E. jethys, while mating involving E. albania does not appear to have a strong prezygotic barrier and hybrids are probably fertile. Prezygotic isolation is favored by natural selection as a process against unfit hybrids, as shown for Agrodiaetus butterflies [76]. Many studies on a variety of taxa ([75] for review) have shown that prezygotic barriers are important barriers to prevent gene flow between closely related species. Other types of reproductive barriers are reported in other butterflies, such as Aricia and Polyommatus, two non-sister cryptic butterfly species for which barriers seem to be precopulatory [77], or between two sympatric sister species (Leptidea sinapis and L. reali) that present premating reproductive isolation [78].

Many cases of interspecific hybridization have been reported for Lepidoptera (non-exhaustive list: [6667, 79]). It is not surprising to observe hybridization in the Enantia jethys complex, considering that closely related species are more likely to hybridize [80], and that hybridization appears to be facilitated by wider sympatric distributions of parental species [81]. Furthermore, species of the Enantia jethys complex are subject to the same environmental pressures as they share the same oviposition and larval host plants [15], which may also facilitate opportunities for interspecific mating.

A study on Lepidoptera showed that hybrid individuals may present intermediate morphology [82]. Hybrid individuals of the Enantia jethys complex did not show intermediate morphology, however E. mazai males have a wide variation of morphotypes (S5 Fig). The hybridization process in natural populations may act in different ways, such as increasing genetic variation and new gene combinations, which favor novel adaptations [12, 24], or reducing hybrid fitness [13] because of a postzygotic barrier [75]. Our study demonstrates an interesting case with different effects of hybridization on genetic diversity. First, E. albania hybrids showed a lower, although not significant, genetic diversity value (h) than non-hybrids, probably a reflection of sample size. Second, hybrid individuals of E. jethys presented a low but significant decrease in genetic diversity value (h), which could reflect a reduction in hybrid fitness. Finally, hybrid individuals of E. mazai showed an important and significant increase in genetic diversity value (h). This is not surprising because non-hybrid E. mazai individuals presented the lowest value of genetic diversity. Therefore, when they cross with individuals with higher genetic diversity, hybrids presented higher genetic diversity values (h), which could result in novel adaptations. Nevertheless, additional ecological, behavioral, chromosomal, and genomic studies will be necessary to test our hypothesis.

Phylogenetic relationships in the Enantia jethys complex

A previous study of the Enantia jethys complex using morphological data supported the existence of three distinct species: E. albania, E. jethys, and E. mazai, subsequently subdivided in subspecies E. mazai mazai and E. m. diazi [15]. The first study that investigated this species complex through DNA sequences (COI barcode) [17] validated the existence of the species E. albania, E. jethys, and E. mazai, without any evidence for subspecies or deep intraspecific differentiation. However, these authors discovered a sister clade of E. mazai composed of specimens that were morphologically indistinguishable from E. albania, suggesting the existence of a potential cryptic species originating in a specific geographic area (Ahuaxentitla, Puebla, Mexico). Using a multilocus approach (mitochondrial and nuclear markers), we confirmed the existence of three clades in the Enantia jethys complex in agreement with the results reported by Jasso-Matínez and colleagues [17]. The different topology recovered through the Wg marker (E. mazai and E. jethys in the same clade and shared haplotypes, Panel A in S1 Fig) could be explained by incomplete lineage sorting, as observed in other Lepidoptera studies [8384]. Incomplete lineage sorting frequently results in different patterns between nuclear and mitochondrial markers [85], which is common in species of recent divergence [84]. To understand this phenomenon, a multiple independent loci analysis was used to generate a robust phylogenetic hypothesis (S2 Fig), as recommended by Edwards and Bensch [86]. Overall, our results confirmed the existence of three well-defined groups, corresponding to the three different morphospecies previously described [1517].

Supporting information

S1 Fig. Haplotype networks from DNA sequences.

A) Wg, B) RpS5, and C) COI. Black circles are the mutational steps.

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(TIF)

S2 Fig. Bayesian concatenated tree.

COI, RpS5, and Wg for the Enantia jethys complex. E. albania (red), E. jethys (green), and E. mazai (blue).

https://doi.org/10.1371/journal.pone.0197116.s002

(TIF)

S3 Fig. Molecular clock analysis for the Enantia jethys complex.

E. albania (red), E. jethys (green), and E. mazai (blue).

https://doi.org/10.1371/journal.pone.0197116.s003

(TIF)

S4 Fig. Principal coordinate analysis (PCoA).

Obtained after removing hybrid individuals from the dataset. E. albania (red), E. jethys (green), and E. mazai (blue).

https://doi.org/10.1371/journal.pone.0197116.s004

(TIF)

S5 Fig. Illustration of the wide range of phenotypes for Enantia mazai male individuals.

Pictures are organized according to a gradient of brown wing pigmentation, from lower to higher extent of brown spots. A) Phenotype very similar to a male of E. albania; B, C, and D) Common phenotypes; E) Phenotype very similar to E. jethys males.

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(TIF)

S1 Table. GenBank accession numbers for COI, RpS5, and Wg genetic markers.

https://doi.org/10.1371/journal.pone.0197116.s006

(DOC)

S2 Table. Genetic differentiation for the Enantia jethys complex.

Evaluated by analysis of molecular variance using mitochondrial (COI) and nuclear (RpS5 and Wg) DNA sequences.

https://doi.org/10.1371/journal.pone.0197116.s007

(DOC)

Acknowledgments

Thanks to Armando Luis-Martínez, Arturo Arellano-Covarrubias, Saray Acosta, and Gordon Strom for providing assistance in the field. Margarita Marín, Elizabeth Labastida, and Landy Chablé provided assistance for processing samples in the laboratory. We are grateful for Gerard Talavera, for helping with the editing of DNA sequences and for his comments. We would like to thank Luc Legal for helping with the parsimony analysis of the ISSR data, and Abril Tapia-Sedeño and Gabriela Castellanos-Morales for helping with the haplotype network analysis. We appreciate the comments from Alejandro Zaldívar-Riverón and Rubí Meza-Lázaro. Thank you to Holger Weissenberger from El Colegio de la Frontera Sur for helping to produce Figs 1 and 7.

References

  1. 1. Mayr E. Systematics and the origin of species, from the viewpoint of a zoologist. Harvard University Press; 1942.
  2. 2. Federley H. Meiosis and intersexuality in reciprocal Drepana hybrids (Lep.). Hereditas 1949;35: 49–66.
  3. 3. Harrison RG. Hybrid zones and the evolutionary process. Oxford University Press, 1993.
  4. 4. Mallet J. Hybridization as an invasion of the genome. Trends Ecol Evol. 2005;20: 229–237. pmid:16701374
  5. 5. Baack EJ, Rieseberg LHA. Genomic view of introgression and hybrid speciation. Curr Op Genet Dev. 2007;17: 513–518. pmid:17933508
  6. 6. Lushai G, Smith DA, Gordon IJ, Goulson D, Allen JA, Maclean N. Incomplete sexual isolation in sympatry between subspecies of the butterfly Danaus chrysippus (L.) and the creation of a hybrid zone. Heredity. 2003;90: 236–246. pmid:12634807
  7. 7. Lushai G, Allen JA, Goulson D, Maclean N, Smith DA. The butterfly Danaus chrysippus (L.) in East Africa comprises polyphyletic, sympatric lineages that are, despite behavioural isolation, driven to hybridization by female‐biased sex ratios. Biol J Linn Soc. 2005;86: 117–131.
  8. 8. Mullen SP, Dopman EB, Harrison RG. Hybrid zone origins, species boundaries, and the evolution of wing‐pattern diversity in a polytypic species complex of north American admiral butterflies (Nymphalidae: Limenitis). Evol. 2008;62: 1400–1417.
  9. 9. Bull V, Beltrán M, Jiggins CD, McMillan WO, Bermingham E, Mallet J. Polyphyly and gene flow between non-sibling Heliconius species. BMC Biol. 2006;4: 1.
  10. 10. Kronforst MR, Young LG, Blume LM, Gilbert LE. Multilocus analyses of admixture and introgression among hybridizing Heliconius butterflies. Evol. 2006;60: 1254–1268.
  11. 11. Kronforst MR. Gene flow persists millions of years after speciation in Heliconius butterflies. BMC Evol Biol. 2008;8: 1.
  12. 12. Rieseberg L, Raymond O, Rosenthal DM, Lai Z, Livingstone K, Nakazato T, et al. Major ecological transitions in wild sunflowers facilitated by hybridization. Sci. 2003;301: 1211–1216.
  13. 13. Seehausen O. Hybridization and adaptive radiation. Trends Ecol Evol. 2004;19: 198–207. pmid:16701254
  14. 14. Lamas G. Atlas of Neotropical Lepidoptera, Checklist: Part 4A, Hesperioidea–Papilionoidea. Association for Tropical Lepidoptera, Scientific Publishers, Gainesville, Florida, 439 pp. 2003.
  15. 15. Llorente-Bousquets JE. Sinopsis, Sistemática y Biogeografía de los Dismorphiinae de México con especial referencia al género Enantia Huebner (Lepidoptera: Pieridae). Folia Entomológica Mexicana. 1984; 58: 3–206.
  16. 16. Castañeda-Sortibrán A. Estructura genética en el complejo “jethys” (LEPIDOPTERA: PAPILINOIDEA; Enantia) en México. PhD. Thesis. Instituto de Ecología. Universidad Nacional Autónoma de México. 1996.
  17. 17. Jasso-Martínez JM, Castañeda-Sortibrán N, Pozo, García-Sandoval R, Prado BR, Luis-Martínez A, Llorente-Bousquets J Rodríguez-Arnaiz R. The Enantia jethys Complex: Insights from COI Confirm the Species Complex and Reveal a New Potential Cryptic Species. Southwest Entomol. 2016;41: 1005–1020.
  18. 18. Wink M. Use of DNA markers to study bird migration. J Ornithol. 2006;147: 234–244.
  19. 19. Barilani M, Sfougaris A, Giannakopoulos A, Mucci N, Tabarroni C, Randi E. Detecting introgressive hybridisation in rock partridge populations (Alectorisgraeca) in Greece through Bayesian admixture analyses of multilocus genotypes. Conserv Genet. 2007;8: 343–354.
  20. 20. Machkour-M’Rabet S, Hénaut Y, Charruau P, Gevrey M, Winterton P, Legal L. Between introgression events and fragmentation, islands are the last refuge for the American crocodile in Caribbean Mexico. Mar Biol. 2009;156: 1321–1333.
  21. 21. Liu T, Chen Y, Chao L, Wang S, Wu W, Dai S, et al. Extensive Hybridization and Introgression between Melastoma candidum and M. sanguineum. PLoS ONE. 2014; 9(S): e96680.
  22. 22. Sutkowska A, Pasierbinski A, Baba W, Warzecha T, Mitka J. Additivity of ISSR markers in natural hybrids of related forest species Bromus benekenii and B. ramosus (Poaceae). Acta Biologica Cracoviensia. Series Botanica. 2015; 57: 82–94.
  23. 23. Hundsdoerfer AK, Kitching IJ, Wink M. The phylogeny of the Hyles euphorbiae complex (Lepidoptera: Sphingidae): molecular evidence from sequence data and ISSR-PCR fingerprints. Org Divers Evol. 2005;5: 173–198.
  24. 24. Wolfe AD, Liston A. Contributions of PCR-based methods to plant systematics and evolutionary biology. In: Soltis DE, Soltis PS, Doyle JJ, editors. Plant Molecular Systematics II. Kluwer Academic Publishers, Dordrecht, 1998. pp. 43–86.
  25. 25. Luque C, Legal L, Staudter H, Gers C, Wink M. Brief report ISSR (Inter Simple Sequence Repeats) as genetic markers in Noctuids (Lepidoptera). Hereditas. 2002;136: 251–253. pmid:12471674
  26. 26. Hundsdoerfer A. Wink M. New source of genetic polymorphisms in Lepidoptera. ZNaturforsch. 2005; 60: 618–624.
  27. 27. Khurad AM, Kanginakudru S, Qureshi SO, Rathod MK, Rai MM, Nagaraju JA. New Bombyx mori larval ovarian cell line highly susceptible to nucleopolyhedro virus. J Invertebr Pathol. 2006;92: 59–65 pmid:16713602
  28. 28. Roux O, Gevrey M, Arvanitakis L, Gers C, Bordat D, Legal L. ISSR-PCR: tool for population identification and genetic structure of Plutella xylostella. Mol Phylogenet Evol. 2007;43: 240–250. pmid:17098449
  29. 29. Luque C, Legal L, Machkour-M’Rabet S, Winterton P, Gers C, Wink M. Apparent influences of host plant distribution on the structure and the genetic variability of local populations of the Purple Clay (Diarsia brunnea). Biochem Syst Ecol. 2009;37: 6–15
  30. 30. Radjabi R, Sarafrazi A, Tarang A, Kamali K, Tirgari S. Intraspecific biodiversity ofiranian local races of silkworm Bombyx mori by ISSR (inter-simple sequence repeat) molecular marker. World J Zool. 2012;7: 17–22.
  31. 31. Machkour-M’Rabet S, Leberger R, León-Cortés JL, Gers C, Legal . Population structure and genetic diversity of the only extant Baroninae swallowtail butterfly, Baronia brevicornis, revealed by ISSR markers. J Insect Conserv. 2014;18: 385–396.
  32. 32. Prado BR, Pozo C, Valdez-Moreno M, Hebert PD. Beyond the colours: discovering hidden diversity in the Nymphalidae of the Yucatan Peninsula in Mexico through DNA barcoding. PLoS One. 2011;6: e27776. pmid:22132140
  33. 33. Dincă V, Montagud S, Talavera G, Hernández-Roldán J, Munguira ML, García-Barros E, et al. DNA barcode reference library for Iberian butterflies enables a continental-scale preview of potential cryptic diversity. Sci Rep. 2015;5: 12395. pmid:26205828
  34. 34. Kodandaramaiah U, Weingartner E, Janz N, Dalén L, Nylin S. Population structure in relation to host‐plant ecology and Wolbachia infestation in the comma butterfly. J Evol Biol. 2011;24: 2173–2185. pmid:21745252
  35. 35. Monteiro A. Origin, development, and evolution of butterfly eyespots. Annu Rev Entomol. 2015;60.
  36. 36. Peña C, Nylin S, Freitas AV, Wahlberg N. Biogeographic history of the butterfly subtribe Euptychiina (Lepidoptera, Nymphalidae, Satyrinae). Zool Scr. 2010;39: 243–258.
  37. 37. Abbasi R, Marcus JM. Color pattern evolution in Vanessa butterflies (Nymphalidae: Nymphalini): non‐eyespot characters. Evol Dev. 2015;17: 63–81. pmid:25627714
  38. 38. Wahlberg N, Wheat CW. Genomic outposts serve the phylogenomic pioneers: designing novel nuclear markers for genomic DNA extractions of Lepidoptera. Syst Biol. 2008;57: 231242. pmid:18398768
  39. 39. Brower AVZ, DeSalle R. Patterns of mitochondrial versus nuclear DNA sequence divergence among nymphalid butterflies: the utility of wingless as a source of characters for phylogenetic inference. Insect Mol Biol. 1998;7: 73–82. pmid:9459431
  40. 40. Kleckova , Cesanek M, Fric Z, Pellissier L. Diversification of the cold-adapted butterfly genus Oeneis related to Holarctic biogeography and climatic niche shifts. Mol Phylogenet Evol. 2015;92: 255–265. pmid:26166775
  41. 41. Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, et al. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinform. 2012;28: 1647–1649.
  42. 42. Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013;30; 772–780. pmid:23329690
  43. 43. Librado P, Rozas J. DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinform. 2009;25: 1451–1452.
  44. 44. Excoffier L, Lischer HE. Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour. 2010;10: 564–567. pmid:21565059
  45. 45. Guindon S, Gascuel O. A simple, fast and accurate method to estimate large phylogenies by maximum-likelihood. Syst Biol. 2003;52: 696–704. pmid:14530136
  46. 46. Darriba D, Taboada GL, Doallo R, Posada D. jModelTest 2: more models, new heuristics and parallel computing. Nat Methods. 2012;9: 772.
  47. 47. Bandelt HJ, Forster J, Rohl A. Median-Joining networks for inferring intraspecific phylogenies. Mol Biol Evol. 1999;16: 37–48. pmid:10331250
  48. 48. Ronquist F, Teslenko P, Van Der Mark DL, Ayres A, Darling C, Höhna B, Larget L, Liu MA, Suchard, Huelsenbeck JP. Mrbayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol. 2012;61: 539–542. pmid:22357727
  49. 49. Miller MA, Pfeiffer W, Schwartz T. Creating the CIPRES Science Gateway for inference of large phylogenetic trees. In Proceedings of the Gateway Computing Environments Workshop (GCE). 2010. New Orleans, LA.
  50. 50. Huelsenbeck JP, Larget B, Alfaro ME. Bayesian phylogenetic model selection using reversible jump Markov chain Monte Carlo. Mol Biol Evol. 2004;21: 1123–1133. pmid:15034130
  51. 51. Drummond AJ, Rambaut A. BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evol Biol. 2007;7: 214. pmid:17996036
  52. 52. Papadopoulou A, Anastasiou I, Vogler AP. Revisiting the insect mitochondrial molecular clock: the mid-Aegean trench calibration. Mol Biol Evol. 2010;27: 1659–1672. pmid:20167609
  53. 53. Peakall R, Smouse PE. GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol Ecol Notes. 2006;6: 288–295
  54. 54. Peakall R, Smouse PE. GENALEX 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update. Bioinform. 2012;28: 2537–2539
  55. 55. Yeh FC, Yang R, Boyle TJB. Population genetic analysis of co-dominant and dominant markers and quantitative traits. Belg J Bot. 1999;129: 157
  56. 56. Pritchard JK, Stephens M, Donnelly PJ. Inference of population structure using multilocus genotype data. Genet. 2000;155: 945–959.
  57. 57. Falush D, Stephens M, Pritchard JK. Inference of population structure using multilocus genotype data: dominant markers and null alleles. Mol Ecol Notes. 2006;7: 574–578.
  58. 58. Hubisz MJ, Falush D, Stephens M, Pritchard JK. Inferring weak population structure with the assistance of sample group information. Mol Ecol Resour. 2009;9: 1322–1332 pmid:21564903
  59. 59. Swofford DL. PAUP Phylogenetic analysis using parsimony. Sinauer, Sunderland, MA (Version 4.0b10). 2001.
  60. 60. Page RDM. Treeview: An application to display phylogenetic trees on personal computers. Bioinform. 1996;12: 357–358
  61. 61. Chen F, Ahmed T, Liu Y, He K, Wang Z. Analysis of genetic diversity among different geographic populations of Athetis lepigone using ISSR molecular markers. J Asia Pac Entomol. 2014;17: 793–798.
  62. 62. Hedrick PW, Ginevan ME, Ewing E. P. Genetic polymorphism in heterogeneous environments. Ann Rev Ecol Syst. 1976; 1–32.
  63. 63. Hedrick PW. Genetic polymorphism in heterogeneous environments: a decade later. Ann Rev Ecol Syst. 1986; 535–566.
  64. 64. Sperling FA, Harrison RG. Mitochondrial DNA variation within and between species of the Papilio machaon group of swallowtail butterflies. Evol. 1994;48: 408–422.
  65. 65. Vandewoestijne S, Baguette M, Brakefield PM, Saccheri IJ. Phylogeography of Aglais urticae (Lepidoptera) based on DNA sequences of the mitochondrial COI gene and control region. Mol Phylogenet Evol. 2004;31: 630–646. pmid:15062799
  66. 66. Rougerie R, Haxaire J, Kitching IJ, Hebert PD. DNA barcodes and morphology reveal a hybrid hawkmoth in Tahiti (Lepidoptera: Sphingidae). Invert Syst. 2012;26: 445–450.
  67. 67. Moyal P, Le Rü B, Van Den Berg J, Ratnadass A, Cugala T, Matama-Kauma B, Pallangyo D, Conlong , Defabachew B. Morphological reinforcement, ancient introgressive hybridization and species delimitation in African stem‐borer species of the genus Sesamia Guenée (Lepidoptera: Noctuidae). Syst Entomol. 2011;36: 421–434.
  68. 68. Harrison RG. Hybrid zones: windows on evolutionary process. In: Futuyma D, Antonovics J, editors. Oxford surveys in evolutionary biology. Vol. 7. New York: Oxford University Press. 1990. p. 69–128.
  69. 69. Ballard JWO, Whitlock MC. The incomplete natural history of mitochondria. Mol Ecol. 2004;13: 729–744. pmid:15012752
  70. 70. Casu M, Rivera-Ingraham GA, Cossu P, Lai T, Sanna D, Dedola GL, et al. Patterns of spatial genetic structuring in the endangered limpet Patella ferruginea: implications for the conservation of a Mediterranean endemic. Genetica. 2011;139: 1293–1308. pmid:22286933
  71. 71. Archibald JK, Wolfe AD, Johnson SD. Hybridization and gene flow between a day-and night-flowering species of Zaluzianskya (Scrophulariaceaess, tribe Manuleeae). Am J Bot. 2004;1: 1333–1344.
  72. 72. Mort ME, Crawford DJ, Santos-Guerra A, Francisco-Ortega J, Esselman EJ, Wolfe AD. Relationships among the Macaronesian members of Tolpis (Asteraceae: Lactuceae) based upon analyses of inter simple sequence repeat (ISSR) markers. Taxon. 2003;52: 511–518.
  73. 73. Machkour-M’Rabet S, Hénaut Y, Calmé S, Legal L. When landscape modification is advantageous for protected species. The case of a synanthropic tarantula, Brachypelma vagans. J Insect Conserv. 2012;16: 479–488.
  74. 74. Machkour-M’Rabet S, Vilchis-Nestor CA, Barriga-Sosa ID, Legal L, Hénaut Y. A molecular approach to understand the riddle of the invasive success of the tarantula, Brachypelma vagans, on Cozumel Island, Mexico. Biochem Syst Ecol. 2017;70: 260–267.
  75. 75. Mendelson TC, Imhoff VE, Venditti JJ. The accumulation of reproductive barriers during speciation: postmating barriers in two behaviorally isolated species of darters (Percidae: Etheostoma). Evol. 2007;61: 2596–2606.
  76. 76. Lukhtanov VA, Kandul NP, Plotkin JB, Dantchenko AV. Reinforcement of pre-zygotic isolation and karyotype evolution in Agrodiaetus butterflies. Nat. 2005;436: 385.
  77. 77. Vodă R, Dapporto L, Dincă V, Vila R. Why do cryptic species tend not to co-occur? A case study on two cryptic pairs of butterflies. PloS one. 2015;10: e0117802. pmid:25692577
  78. 78. Friberg M, Vongvanich N, Borg-Karlson AK, Kemp DJ, Merilaita S, Wiklund C. Female mate choice determines reproductive isolation between sympatric butterflies. Behav Ecol Sociobiol. 2008;62: 873–886.
  79. 79. Wang C, Dong J. Interspecific hybridization of Helicoverpa armigera and H. assulta (Lepidoptera: Noctuidae). Chin Sci Bull. 2001;46: 489–491.
  80. 80. Mallet J. Hybrid speciation. Nat. 2007;446: 279.
  81. 81. Schulte K, Silvestro D, Kiehlmann E, Vesely S, Novo P, Zizka G. Detection of recent hybridization between sympatric Chilean Puya species (Bromeliaceae) using AFLP markers and reconstruction of complex relationships. Mol Phylogenet Evol. 2010;57: 1105–1119. pmid:20832496
  82. 82. Mavárez J, Salazar CA, Bermingham E, Salcedo C, Jiggins CD, Linares M. Speciation by hybridization in Heliconius butterflies. Nat. 2006;441: 868–871.
  83. 83. Talavera G, Lukhtanov VA, Rieppel L, Pierce NE, Vila R. In the shadow of phylogenetic uncertainty: the recent diversification of Lysandra butterflies through chromosomal change. Mol Phylogenet Evol. 2013;69: 469–478. pmid:23954756
  84. 84. Mende MB, Hundsdoerfer AK. Mitochondrial lineage sorting in action–historical biogeography of the Hyles euphorbiae complex (Sphingidae, Lepidoptera) in Italy. BMC Evol Biol. 2013;13: 83. pmid:23594258
  85. 85. Toews DP, Brelsford A. The biogeography of mitochondrial and nuclear discordance in animals. Mol Ecol. 2012;21: 3907–3930. pmid:22738314
  86. 86. Edwards S, Bensch S. Looking forwards or looking backwards in avian phylogeography? Comment Mol Ecol. 2009;18: 2930–2933. pmid:19552688