- Research article
- Open Access
Mitochondrial lineage sorting in action – historical biogeography of the Hyles euphorbiae complex (Sphingidae, Lepidoptera) in Italy
© Mende and Hundsdoerfer; licensee BioMed Central Ltd. 2013
- Received: 14 December 2012
- Accepted: 3 April 2013
- Published: 18 April 2013
Mitochondrial genes are among the most commonly used markers in studies of species’ phylogeography and to draw conclusions about taxonomy. The Hyles euphorbiae complex (HEC) comprises six distinct mitochondrial lineages in the Mediterranean region, of which one exhibits a cryptic disjunct distribution. The predominant mitochondrial lineage in most of Europe, euphorbiae, is also present on Malta; however, it is nowadays strangely absent from Southern Italy and Sicily, where it is replaced by 'italica'. A separate biological entity in Italy is further corroborated by larval colour patterns with a congruent, confined suture zone along the Northern Apennines. By means of historic DNA extracted from museum specimens, we aimed to investigate the evolution of the mitochondrial demographic structure of the HEC in Italy and Malta throughout the Twentieth Century.
At the beginning of the Twentieth Century, the European mainland lineages were also present at a moderate frequency in Southern Italy and Sicily. The proportion of 'italica' then steadily increased in this area from below 60 percent to near fixation in about 120 years. Thus, geographical sorting of mitochondrial lineages in the HEC was not as complete then as the current demography suggests. The pattern of an integral 'italica' core region and a disjunct euphorbiae distribution evolved very recently. To explain these strong demographic changes, we propose genetic drift due to anthropogenic habitat loss and fragmentation in combination with an impact from recent climate warming that favoured the spreading of the potentially better adapted 'italica' populations.
The pattern of geographically separated mitochondrial lineages is commonly interpreted as representing long term separated entities. However, our results indicate that such a pattern can emerge surprisingly quickly, even in a widespread and rather common taxon. We thus caution against drawing hasty taxonomic conclusions from biogeographical patterns of mitochondrial markers derived from modern sampling alone.
- Historic DNA
- Ancient DNA sensu lato
- Natural history collections
- Incomplete lineage sorting
- Genetic drift
- Climate change
Mitochondrial genes are among the most commonly used markers for phylogeographic and taxonomic studies [1–6]. However, there are many pitfalls that can mislead the interpretation of phylogenies and/or phylogeographies based on mitochondrial genes, such as nuclear pseudogenes (‘numts’) [4, 7], introgression through hybridization or incomplete lineage sorting [2, 4]. The latter is commonly encountered and a particular problem for disentangling relatively young species , where different mitochondrial lineages do not necessarily coincide with current evolutionary entities. Nevertheless, the pattern of currently geographically separated lineages is commonly interpreted as being stable in the long term [6, 8] and thus useful to delimit taxa or deduce conservation units [1, 8–11].
The development of methods to extract DNA from ancient and historical samples [11–14] has opened up the possibility to directly study the evolution of demographic and/or biogeographical patterns, i.e. changes in these patterns over time. Thomas et al. found no significant change in the distribution patterns of mitochondrial lineages in stable large populations of kangaroo rats during the Twentieth Century. In contrast, the studies of Pergams et al. and Goldstein & DeSalle  did reveal that such patterns can be altered significantly in a comparable time span. For instance, recent habitat fragmentation led to the extinction of populations with intermediate haplotypes and thus simulated a pattern of long-term separated lineages in the tiger beetle Cicindela dorsalis. Similarly, Leonard et al. could show by means of ancient DNA extracted from subfossil bones that a supposed long-term pattern of geographically separated mitochondrial lineages of the brown bear in Alaska had evolved more recently than was previously thought. Consequently, Pääbo et al. encouraged further studies on the history of phylogeographic patterns to determine whether modern patterns are recent effects of genetic drift or reflect long-term separation of populations.
In the field of evolutionary genetic studies on museum specimens, only few studies were conducted so far on insect species, e.g. [17, 19–22] (also see ), although they are a very suitable model group. Especially those insects that are popular among amateur collectors have accumulated a large representation in museums and collections of specimens dating back to the late Nineteenth Century , which often equates to more than a hundred generations. Hawkmoths are conspicuous insects characterized by large size and often striking colour. The widespread spurge hawkmoth (Hyles euphorbiae complex: HEC) is particularly appealing to collectors due to its great variability in colour pattern [23–25]. Taxonomic delimitations are based on these patterns as genitalia are almost uniform throughout this globally distributed genus, which thus allows (or at least does not prevent) hybridization between even distantly related species [23, 26, 27]. Accordingly, the species-level taxonomy has been controversial for a long time [23, 24, 26–29] and, for example, the taxon Hyles euphorbiae has accumulated 102 synonyms . A recent molecular study (based on sequences of the mitochondrial genes encoding COI, tRNA leucine and COII) of more than 350 specimens from across the whole range of the HEC revealed that it comprises six distinct mitochondrial lineages in the Mediterranean region . Unexpectedly, three of these lineages were found to conflict with the current taxonomy and thus were given provisional names (cited in quotation marks) . The distribution of the lineages appeared mainly to reflect isolation in refuges during the Ice Ages and subsequent postglacial range expansions [25–27, 31]. The southernmost lineage, tithymali corresponds closely to the current valid species, Hyles tithymali, which occurs in the Macaronesian islands, Northern Africa and a now isolated population in Yemen. Most of continental Europe, from the Caucasus and the Balkan Peninsula to Portugal, the range of the current species H. euphorbiae, is occupied sympatrically by the lineages euphorbiae and 'enigmatica'. They were proposed to be colonizers from two Eastern European and/or Central Asian glacial refuges that had expanded simultaneously into large areas of Europe after the end of the last Ice Age [27, 31]. The mitochondrial lineage of the endemic H. cretica is confined to Crete and the Dodecanese islands. As has been found in many other groups of organisms [5, 8, 32, 33], the Italian glacial refuge gave rise to its own endemic HEC entity, the 'italica' lineage. It dominates Southern Italy and Sicily but is replaced by euphorbiae and 'enigmatica' northeast of the Northern Apennines. Even though the Southern Italian populations are currently synonymised under H. euphorbiae, morphology also suggests a distinct entity. The change of mitochondrial haplotypes in northern Central Italy is congruent with a sharp change in larval colour patterns . Furthermore, subspecies of H. euphorbiae have been regularly described from Southern Italy based on the frequent occurrence of a reddish adult forewing pattern variety [34–37] which is absent from Central Europe.
The Maltese endemic, H. sammuti, has long been considered a hybrid population between African and European lineages and therefore probably invalid as a species, though nevertheless interesting from an evolutionary perspective [23, 26, 27, 29, 31, 38]. Paradoxically, it is the European mainland lineage euphorbiae that is the major component (over 50%) of the Maltese population, in addition to the ancient endemic 'melitensis' lineage and migrants of the North African tithymali. No ‘italica’ haplotypes have yet been recorded from this island, despite its proximity to Sicily. This colony of euphorbiae haplotypes on Malta is isolated from the euphorbiae core population in Central Europe and Northern Italy by about 900 kilometres of intervening land inhabited by 'italica'.
In the present study, we investigate the evolution of the mitochondrial marker demography of the HEC in Italy and Malta directly by means of historic DNA from museum specimens. Thereby we aim to determine if and/or how the disjunct distribution pattern of the euphorbiae lineage and an integral 'italica' core region evolved during the last century and to propose hypotheses for the underlying mechanisms.
List of museums and/or private collections that provided samples
Museum / private collection
Zoologisches Museum Hamburg
Bernhard Misof, Hans-Georg Riefenstahl, Ralph Peters, Kai Schütte
Museum für Naturkunde, Berlin
Wolfram Mey, Konrad Ebert
Natural History Museum, London
Geoff Martin, Ian J. Kitching
Senckenberg Naturhistorische Sammlungen Dresden, Museum für Tierkunde
Forschungsmuseum Alexander König, Bonn
Dieter Stüning, Ute Heidenreich, Ulrike Kleikamp *
Senckenberg Naturmuseum, Frankfurt/Main
Staatliches Museum für Naturkunde, Karlsruhe
Staatliches Museum für Naturkunde, Stuttgart
Andreas Zwick, Daniel Bartsch *
Zoologische Staatssammlung München
Museum Witt, München
Wolfgang Speidel, Axel Hausmann
Hungarian Natural History Museum, Budapest
Museo Tridentino di Scienze Naturali, Trento
Museo Civico di Storia Naturale, Milano
Fabrizio Rigato, Maurizio Pavesi, Michele Zilioli *
Museo Civico di Storia Naturale, Verona
Museo Regionale di Scienze Naturali, Torino
Luca Christiano, Gianfranco Curletti
Museo Civico di Storia Naturale di Carmagnola
Museo di Storia Naturale “Giacomo Doria”, Genova
Fabio Penati *
Museo Zoologico „La Specola“, Universita di Firenze
Luca Bartolozzi, Fabio Cianferoni, Francesca Zinetti
Museo di Storia Naturale del Territorio, Universita di Pisa, Calci
Marco Dellacasa, Leonardo Dapporto
Museo di Storia Naturale del Mediterraneo, Livorno
Museo di Storia Naturale della Maremma di Grosseto
Museo Civico di Zoologia, Roma
Museo Regionale di Storia Naturale e Mostra Permanente del Carretto Siciliano, Terrasini
Piera Iacobelli, Federico Marrone
Museo di Zoologia „P. Doderlein” dell’ Universita di Palermo
Maurizio Sara, Federico Marrone
National Museum of Natural History, Mdina, Malta
John Borg, Aldo Catania *
Private collection of Paul Sammut, Rabat, Malta
Paul Sammut, Aldo Catania *
Private collection of Aldo Catania, Zebbug, Malta
Aldo Catania *
Lineage distribution through time
In contrast, the proportion of 'italica' in the total population of its core region steadily increased throughout the Twentieth Century from 59% in 1884–1909 to 87% in 2004–2010 (Figure 3A). The curve is strongly linear (y = 0.111x + 0.519; R2 = 0.990). This trend also proves to be robust when we pooled the samples into three decades per time period (Figure 3B) or if only Sicily is considered. The 'italica' lineage gradually increased its abundance in Sicily from 78% in 1884–1929 to 95% in 1970–2010 (Figure 3C). On the Italian mainland, the North African tithymali lineage occurs only in a restricted area around Rome at a rather low frequency throughout at least the past 100 years (Figure 2C/D/F). It slightly increased in abundance in the 'italica' core region’s population from 2% to 8%, if the samples are pooled into time periods of three decades (Figure 3B). In contrast, we did not detect it in other areas of Italy or on Sicily throughout the late Nineteenth and Twentieth Centuries. The Southern lineages, 'italica' and the closely related tithymali, together increased from 65% to 97% of the 'italica' core region’s population.
We were able to gather only few historical specimens of the HEC from Malta, and most of these samples did not yield sequences (see Additional file 1: Table S1). Hence, we cannot deduce historical demographics for the archipelago. However, we were able to show that euphorbiae has been present on Malta since at least 1920 (Figure 2E; Additional file 1: Table S1: #5735, 5736) and tithymali was already present by 1954 (and also detected later in 1980) (Figure 2C/B; Additional file 1: Table S1: #8649, 8004). In the five sequences obtained, the endemic 'melitensis' lineage could not be confirmed for Malta in historical times. However, we found it occasionally on the adjacent island of Sicily as single specimens (Figure 2B/D/E; Additional file 1: Table S1: #5432, 6696, 7941), representing a comparatively stable proportion of 1–2% of the entire Italian (Figure 3B) or 4-5% of the Sicilian population (Figure 3C) through time. As in the recent sampling, 'italica' could not be found on Malta in historical times.
Lineage distribution through time
Geographic isolation in different refuges during the Ice Ages generally led to the evolution of differentiated genetic lineages in European biota [5, 8, 32]. Based on the investigation of present day biogeography, these lineages generally did not mix to a greater geographical extent when they repopulated more northern areas in the postglacial but formed confined contact zones across Europe [5, 8, 32]. By implication, it is often argued that these spatially separated lineages may represent distinct evolutionary entities (subspecies) which remained predominantly separated since their origin and that the suture zones were probably stable since first contact thousands of years ago [8, 11]. Likewise, a separate HEC entity in Southern Italy was supported by the prevalence of the mitochondrial 'italica' lineage (Figure 2A)  and distinct larval morphology  as well as the frequent occurrence of a reddish adult forewing pattern variety [34–37].
In contrast, our study revealed that the distribution patterns of the HEC’s mitochondrial lineages have been highly dynamic only during the last century and that the pattern of the integral 'italica' core region evolved very recently (although 120 years translate to about 300 generations assuming two to three generations per year [23, 24]). The European mainland lineages, euphorbiae and 'enigmatica' were once mixed in a moderate frequency among 'italica' throughout the entire range of the latter, thereby connecting the present-day euphorbiae exclave on Malta with Central European euphorbiae north of the Apennines. Thus, there was no integral source range of a supposed Italian entity a couple of decades ago. Instead, the past situation in Italy resembles the present day sympatric occurrence of euphorbiae and 'enigmatica' in most of the European distribution range of the HEC (see ). In the recent sampling, single specimens of the 'italica' lineage have also been found in southern Greece, north-eastern Spain and Morocco among the dominant euphorbiae and 'enigmatica' or tithymali respectively  which could have been attributed to recent dispersal and introgression of an isolated Italian entity. However, the observed past admixture of lineages in Italy and thus the absence of a pure source range of 'italica' strongly favour ancestral polymorphisms with lineage sorting ‘in action’. Concordantly, the frequency of the reddish adult wing pattern variety appears not to support a separate entity as it did not rise in frequency in correlation with 'italica' in Italy through time but fluctuated independently (data not shown; but see Additional file 1: Table S1).
Environmental factors that probably caused the demographic changes during the last Century (see below) also fluctuated throughout the entire postglacial . In deduction, the biogeographical pattern of the HEC would have changed repeatedly during this period. Thus, mitochondrial lineage compositions in refuges during the last Ice Age and/or even the actual areas of origin of the different lineages in preceding Ice Ages can neither be reliably deduced from the present day nor the historic Nineteenth Century’s biogeography. Given the HEC is a mobile, rather common and widespread species [23, 24], it appeared to fulfil the criteria of a good model for assessing biogeographical patterns sensu Schmitt . Consequently, a wide range of other species could have likewise experienced such fast demographic changes caused by the same general environmental changes. A similar sorting of mitochondrial lineages into geographically separate areas in an unexpectedly short time period could be shown for the Alaskan brown bear , an organism with a very different life history strategy. However, further studies on historic biogeographies of additional taxa are needed to investigate if such a fast lineage sorting is a common phenomenon or if the HEC and the Alaskan brown bear rather represent single cases.
Causes for demographic changes
The HEC is a strong flier [24, 26] and a widespread taxon that has not been considered rare or endangered in Italy [40, 41]. HEC caterpillars live in a variety of xerothermic open habitats [23, 24], e.g. natural beach dunes, field margins, uncultivated land, etc. These habitats were promoted by deforestation and extensive agriculture by early human settlers and thus probably quite abundant in historical times in Italy [42–45]. However, they started to decline with the acceleration of anthropogenic pressure on the landscape about 150–100 years ago [42, 46–48] in correlation with the observed lineage sorting. Coastal dune habitats lost about three-quarters of their former extent during the last century in Italy [47, 49, 50]. In increasing areas of intensive agriculture , the use of pesticides had a growing impact on insect populations of the field margins [51–53] while vegetation succession on abandoned land [46, 48] also led to population extinctions of many species of open habitats in Italy [44, 54]. For instance, the gradual decline in the number of HEC samples from Capri in the natural history collections (see Figure 2) is postulated to reflect a real decline in population size of the HEC rather than a collector bias since former habitats appeared to be largely overgrown on the island nowadays (unpubl. observations by MBM). Most habitats where we found HEC caterpillars in Italy recently were rather small and sometimes temporary, thus many populations probably undergo bottlenecks and/or local extinctions and founder effects. Hence, we postulate that genetic drift promoted the observed lineage sorting process. It would statistically favour the fixation of the already most abundant lineage 'italica' in Southern Italy as we actually observed in our study. Genetic drift is strongest in small populations . Thus, it is particularly strong for mitochondrial markers because they are haploid and maternally inherited, thus further reducing the effective population size to one-quarter of that of nuclear loci [2, 4]. Furthermore, the existence of biogeographical patterns based on maternally inherited mitochondrial markers  supports the hypothesis that females are rather faithful to a habitat . Thus, mitochondrial gene flow between populations is likely to have decreased with increased habitat fragmentation . In contrast to the majority of small habitats, genetic drift would not play a major role in large, temporally stable populations, such as the one near Rome airport (Figure 2A: large pie in Central Italy) or on Malta. Consequently, the mitochondrial polymorphism could be maintained there. Nevertheless, overall gene flow between the fragmented habitats of the HEC is likely to be maintained more strongly by dispersing males, as postulated by Hundsdoerfer et al.. Further investigations using nuclear microsatellite markers [57, 58] are promising to elucidate the overall gene flow and the actual extent of current biological entities.
In addition to genetic drift, changes in climatic conditions likely have contributed to the observed demographic changes since the HEC appears to be sensitive to temperature as has been shown for many other lepidopterans [59–61]. The northernmost occurrences of 'italica' have - though based on only a few specimens - closely followed the fluctuations of mean summer/autumn air temperatures (Figure 4). Similarly fast range extensions in the 1940s and subsequent retractions in the 1950s have also been found in some butterfly species in Britain . Beyond these short term fluctuations, many insect species gradually expanded their ranges in latitude and/or altitude into previously unsuitable areas throughout the Twentieth Century [54, 59–64]. For a few insects so far, demographic shifts of molecular markers within the existing range could also be shown in correlation with climate warming [65–67]. Likewise, the observed gradual increase of 'italica' haplotypes in its core region (Figure 3) correlates with the trend of temperature anomaly values increasing by about 1°C per century over the last 140 years in Italy . In addition, haplotypes of euphorbiae disappeared slightly earlier in more southern regions. The suture zone along the Apennines that constitutes the present day northern limit of 'italica' is remarkably concordant with the northern limit of summer drought  and the border between the Mediterranean and the Continental biogeographical region . Furthermore, a climate niche modelling based on the extant distribution of mitochondrial lineages predicted a very congruent northern limit of 'italica', while euphorbiae could potentially be present throughout Italy . Thus, 'italica' populations appear to be more successful in a Mediterranean climate and outcompeted euphorbiae in Southern Italy while they could not establish themselves in the continental climate of the Po Plains yet. A mitochondrial lineage could be indirectly linked to nuclear genes under selection at population level, i.e. individuals of more southerly populations in Italy have a higher probability to bear an 'italica' haplotype and are also potentially better adapted to a warmer climate based on alleles of their nuclear genome (e.g. tend to undergo an additional generation in autumn before diapause [23, 24]). Thus, as the climate warms up, the 'italica' lineage would concomitantly increase in frequency. Alternatively, it cannot be ruled out that sequence differences in the mitochondrial genes have a direct influence on individual fitness with regard to climatic conditions, since in poikilotherms, the external temperature is directly experienced by the mitochondria . Nevertheless, such adaptations to local climatic conditions are known to occur within widely distributed lepidopteran taxa  and thus do not necessarily support a distinct Italian entity.
The results of our study are in contrast to the common point of view that the pattern of currently geographically separated lineages indicate taxa which have been long term separated since the origin of these lineages in glacial refuges and which did not mix to a greater extent in the current interglacial. Even though it still has to be investigated on further taxa if the fast lineage sorting observed in the HEC during the Twentieth Century is rather a single case or a common pattern, we strongly emphasize that caution should be taken in interpreting modern day biogeographical patterns based on mitochondrial DNA (even if they are supported by congruent morphological patterns) as unaltered in the long term and for drawing hasty taxonomic conclusions based upon them.
We applied for a sampling permit of Hyles euphorbiae tissue in 27 natural history collections, covering the museums most relevant to the study area (Table 1), to balance a local collectors bias as much as possible . The target area for the moths’ origin was confined to Italy south of the Po River and Malta. We only used specimens with complete data (date and locality) or where these data could be reliably inferred e.g. from the collectors name (Additional file 1: Table S1). From large series of specimens collected on the same date and in the same locality, we sampled only a subset of the most different morphs to minimize the chance of sampling siblings. We plucked one to three legs per individual except for the specimens from the Natural History Museum, London (NHM). From these samples tissue was taken from the abdomens to minimize damage to the specimens (see below).
We conducted the laboratory work in a dedicated ancient DNA clean-laboratory with Class II Safety Cabinets (HERAsafe KSP9; Thermo Scientific, Waltham, USA) and 4 hours of UV-light decontamination between the working steps. Tissue sampling of abdomens followed the protocol of Hundsdoerfer & Kitching  whereby abdomens are broken off carefully, macerated and glued on again after drying. DNA was isolated with the AGOWA sbeadex Forensic Kit (AGOWA Genomics, Berlin, Germany) using 120 μL of macerate or one leg cut into small pieces. We modified the manufacturer’s protocol by digestion overnight and using only 60 μL elution buffer. To avoid cross contaminations (especially when processing macerates), we spun down the liquid inside the vials after every mixing step, used a fresh piece of absorbent paper to open each vial and decontaminated gloves with DNA away (Carl Roth, Karlsruhe, Germany) after processing each sample.
The most informative fragments of marker genes were chosen for enzymatic amplification (PCR). The definition of the mitochondrial lineages of the HEC is based upon sequences of the genes for CO I/II and the interposed gene for t-RNA leucine (2284 bp in total; ). Specific primers to sequence these genes from historical specimens in 13 overlapping fragments (fragments A to M) had already been designed for the entire genus Hyles, see . In the present study, we used a subset of three fragments covering 794 bp in total (fragment B: 277 bp, H: 280 bp, L: 237 bp). One primer had been published previously; the others were designed specifically for Hyles or the HEC (see below). They were chosen to cover parsimony-informative sites representing autapomorphies of each of the six known lineages of the HEC in the Mediterranean region (Additional file 2: Table S2; only the tithymali lineage does not have autapomorphic PI sites in the complete sequence of all three genes). Except for fragment B, where tithymali and 'enigmatica' have identical sequences, each lineage can be discriminated by every fragment alone (Additional file 2: Table S2).
We performed a multiplex PCR setup  to amplify all three fragments at once in a separate Class II Safety Cabinet (Thermo Scientific) in the dedicated clean-laboratory using the “Type-it Microsatellite PCR Kit” (Qiagen, Hilden, Germany). Amplification was carried out in a total volume of 20 μL containing 1x Type-it Multiplex PCR Master Mix (Qiagen), 0.2 μM of each primer (biomers.net, Ulm, Germany; fragment B: "HylesCOIca100f": 5′-TAAGATTAYTAATTCGAGCAG-3′, "MLepR1": 5′-CCTGTTCCAGCTCCATTTTC-3′; H: "HEC-COIca1110f" 5′-ATGATACATATTATGTTGTAGC-3′, "HEC-COIca1350r" 5′-GARATATATGAYCCTAATGATGA-3′; L: "HylesMCOIIf" 5′-GATAYTGAAGATATGAATATTC-3′, "HylesCOIIca2125r" 5′-TTGTTTGRTTTAAACGTCCAGG-3′) and 5 μL of DNA extract. The PCR comprised denaturation at 95°C for 5 min, 35 cycles of 95°C for 30 s, 57°C for 1 min 30 s and 72°C for 45 s and final elongation at 60°C for 30 min and was conducted on an Eppendorf Mastercycler gradient or gradient pro S (Eppendorf, Hamburg, Germany) in a separate laboratory building.
A subsequent simplex PCR was set up under a “UV Sterilizing PCR Workstation” (peqLab Biotechnologie, Erlangen, Germany) with a total volume of 20 μL containing 1 unit Taq polymerase (Bioron, Ludwigshafen, Germany), 1x ‘complete’ PCR buffer (Bioron), 0.2 mM of each dNTP (Fermentas, St. Leon-Rot, Germany), 0.25 μM each of forward and reverse primer for one fragment and 1 μL of the multiplex PCR product. The PCR comprised denaturation at 94°C for 4 min followed by 40 cycles of 94°C for 45 s, 47°C for 45 s and 72°C for 45 s and final elongation at 72°C for 10 min.
Success of the simplex PCR was visualized on a 2% Agarose gel stained with GelRed (Biotium Inc., Hayward, USA). Only products with a visible band of the fragment were used for the following cycle sequencing reaction. The PCR product was purified with the Exo SAP-IT enzymatic cleanup (USB Europe GmbH, Staufen, Germany) at 37°C for 30 min and 80°C for 15 min. 1 μL of the product was used for cycle sequencing with the BigDye Terminator v. 3.1 Cycle Sequencing Kit (Applied Biosystems, Life Technologies Corporation, Carlsbad, USA) following the manufacturer’s instructions. The cycle sequencing product was purified using Sephadex G-50 fine (GE Healthcare, München, Germany) and sequenced in both directions on an ABI 3130xl sequencer (Applied Biosystems).
To monitor contaminations, we followed the common recommendations [11, 13, 72] to include negative controls in DNA extraction and add further blank samples to each of the subsequent PCRs. Furthermore, the three different fragments could be used to detect contaminations as chimeras (i.e. contradicting lineage assignment between different fragments of the same specimen). As a positive control [74–76], we included DNA from a fresh larval sample of the distantly related Hyles livornica (MTD-# 7528; ~30 ng DNA per reaction), which is clearly distinguishable from the target sequences in every fragment (Additional file 2: Table S2). This DNA was stored in the PCR laboratory and added immediately before starting the multiplex-PCR to detect contamination effects of neighbouring vials and to monitor PCR success.
For validation, DNA extraction and amplifications were processed a second time for some individuals that belonged to a lineage that was unexpected in its locality (see Additional file 1: Table S1). Most of the macerate samples were also processed twice. We thereby achieved six independent amplifications (twice three fragments) for crucial specimens and thus met the recommendations for repeated extractions and amplifications in ancient DNA studies . Nevertheless, repeated extraction was not possible for all specimens since sometimes only one leg had been plucked (common among studies on historical insect specimens: [17, 19, 22]). In a few cases, we were able to amplify only the shortest fragment L from a specimen. However, since unambiguous lineage assignment was still possible by means of this fragment (Additional file 2: Table S2; Figure 1B) we included these specimens in further statistical analyses. Most individuals possessing a potential ‘ghost haplotype’ (i.e. a substitution or ambiguity at an invariable site of the extant samples data set) were processed again from multiplex PCR onwards to verify these or detect and correct nucleotide misincorporations [77, 78].
We confirmed that the different lineages of the HEC are derived from transcribed mitochondrial genes rather than nuclear pseudogenes ('numts') by performing a cDNA transcription of mRNA from frozen tissue of recently caught HEC specimens (Mende et al., in prep.). Specimens of the lineages euphorbiae, 'melitensis', 'italica' and 'enigmatica' were included, whereas specimens of the lineages tithymali and cretica were not available as RNA containing tissue.
We calculated a Spearman’s rank correlation between PCR success of the samples and sample ages and/or latitude of the storage place with the ‘stats’ package in R 2.14.0 . The latitude was used as a variable for the mean temperature to which the specimens were exposed, because temperatures are generally higher outside and likewise inside the collection’s building in more southern cities (open windows, nor air-conditioning; unpubl. observations by MBM). However, the potential influence of different preparation methods  could not be addressed.
We aligned the sequences and assembled the fragments per individual with BioEdit 184.108.40.206 . The alignment is available in the Dryad digital repository at doi:10.5061/dryad.1g98b. Mutational relationships of the contigs of all three fragments per individual were examined by a median joining network analysis in Network 220.127.116.11 (Fluxus Technology, Suffolk, UK). In addition to the historical samples, the network contains the 60 haplotypes of recent Mediterranean HEC samples from the reduced data set of Hundsdoerfer et al. (only the three fragments used in the present study; ambiguities in these sequences were corrected according to the sole or most common nucleotide for the lineage at that position). We also calculated networks for individuals, of which only sequences of two fragments (B, L or H, L, not shown) or just the shortest fragment (L) could be obtained, again including the 60 recent sample sequences.
For illustration of the geographical distribution of mitochondrial lineages, we pooled the historical samples to five time periods of about two decades each. We plotted the samples as pie charts on a map for each time period using ArcGIS 10 (Esri Inc., Redlands, USA). The topographic map was generated using the SRTM 90 m Digital Elevation Dataset 4.1 . For comparison with the extant distribution of lineages we used the data from Hundsdoerfer et al. of 62 specimens collected in Italy and Malta between 2004 and 2010 (Figure 2A). We calculated bar charts to illustrate the proportion of every lineage in the total population of the extant 'italica' core region (see Results for definition) or only Sicily (as the most pure 'italica' population without interference from the suture zone in Northern Italy). Samples were pooled to time periods of two or three decades each to obtain statistically relevant numbers per period. Geographic and chronologic pooling of specimens is mostly unavoidable in historic DNA studies (also see ) but appears reasonable for our purpose since the HEC is known to be a strong flier [24, 26].
To compare the northernmost occurrences of 'italica' haplotypes in northern Central Italy with mean summer/autumn air temperatures we used a graph of CRU temperature data from 1901–2009 [84, 85] (improved by ) for the grid point 44.25 °N, 9.75 °E. This point is closest to the northernmost occurrence of 'italica' in the recent sampling (Fillatiera, NW-Tuscany). Summer/autumn refers to June - October, the main period of adult flight and larval activity of the HEC in Italy. According to their latitude, we plotted the northernmost 'italica' occurrences and all other more northern occurrences (localities from northern Lazio to the Po River plains) onto the graph.
AKH had the initial idea and together with MBM designed the study. MBM sampled the specimens, carried out the experimental work, analyzed the data and wrote the manuscript. AKH contributed to the analysis of climate data, the discussion and manuscript editing. Both authors have approved of the final version of the manuscript.
The present study was conducted at the Senckenberg Natural History Collections Dresden and funded by the research funding programme "LOEWE – Landes-Offensive zur Entwicklung Wissenschaftlich-ökonomischer Exzellenz" of Hesse's Ministry of Higher Education, Research, and the Arts via the Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main.
We would like to thank sincerely all the curators and co-workers, who are listed in Table 1, for access to the collections, loaning or sending probes or just giving helpful information. We are thankful to Christian Kehlmaier, Anke Müller and Anja Rauh (Dresden) for their support in the lab and Michael Hofreiter (York) for advice on ancient DNA handling. We gratefully acknowledge Peter Werner (Potsdam) for his help with the climate data/diagram and Monique Hölting (Dresden) for her help with statistics. We thank Uwe Fritz and Martin Päckert (Dresden) for general advice and Alberto Zilli (Roma), Andrea Sciarretta (Campobasso), Filippo Fabiano (Firenze), Francesca Vegliante (Dresden) and Paolo Mazzei (Roma) for valuable suggestions on the literature. We gratefully acknowledge Ian Kitching (London), Melita Vamberger, Christian Kehlmaier (Dresden) and three anonymous reviewers for valuable comments on the first drafts of the manuscript. The first author further thanks Katja Eckelmann (Dresden) for personal support.
- Avise JC: Phylogeography: retrospect and prospect. J Biogeogr. 2009, 36: 3-15. 10.1111/j.1365-2699.2008.02032.x.View ArticleGoogle Scholar
- Ballard JWO, Whitlock MC: The incomplete natural history of mitochondria. Mol Ecol. 2004, 13: 729-744. 10.1046/j.1365-294X.2003.02063.x.PubMedView ArticleGoogle Scholar
- Hebert PDN, Cywinska A, Ball SL, de Waard JR: Biological identifications through DNA barcodes. Proc R Soc Lond B. 2003, 270: 313-321. 10.1098/rspb.2002.2218.View ArticleGoogle Scholar
- Funk DJ, Omland KE: Species-level paraphyly and polyphyly: Frequency, causes, and consequences, with insights from animal mitochondrial DNA. Annu Rev Ecol Evol Syst. 2003, 34: 397-423. 10.1146/annurev.ecolsys.34.011802.132421.View ArticleGoogle Scholar
- Hewitt GM: Molecular genetics in animal ecology. Biol J Linn Soc. 1999, 68: 87-112. 10.1111/j.1095-8312.1999.tb01160.x.View ArticleGoogle Scholar
- Hewitt GM: Speciation, hybrid zones and phylogeography – or seeing genes in space and time. Mol Ecol. 2001, 10: 537-549.PubMedView ArticleGoogle Scholar
- Song H, Buhay JE, Whiting MF, Crandall KA: Many species in one: DNA barcoding overestimates the number of species when nuclear mitochondrial pseudogenes are coamplified. Proc Natl Acad Sci U S A. 2008, 105 (36): 13486-13491. 10.1073/pnas.0803076105.PubMed CentralPubMedView ArticleGoogle Scholar
- Schmitt T: Molecular biogeography of Europe: Pleistocene cycles and postglacial trends. Front Zool. 2007, 4: 11-10.1186/1742-9994-4-11.PubMed CentralPubMedView ArticleGoogle Scholar
- Moritz C: Defining ‚evolutionary significant units‘ for conservation. Trends Ecol Evol. 1994, 9 (10): 373-375. 10.1016/0169-5347(94)90057-4.PubMedView ArticleGoogle Scholar
- Pons J, Barraclough TG, Gomez-Zurita J, Cardoso A, Duran DP, Hazell S, Kamoun S, Sumlin WD, Vogler AP: Sequence-based species delimitation for the DNA taxonomy of undescribed insects. Syst Biol. 2006, 55 (4): 595-609. 10.1080/10635150600852011.PubMedView ArticleGoogle Scholar
- Pääbo S, Poinar H, Serre D, Jaenicke-Després V, Hebler J, Rohland N, Kuch M, Krause J, Vigilant L, Hofreiter M: Genetic analysis from ancient DNA. Annu Rev Genet. 2004, 38: 645-679. 10.1146/annurev.genet.37.110801.143214.PubMedView ArticleGoogle Scholar
- Wandeler P, Hoeck PEA, Keller LF: Back to the future: museum specimens in population genetics. Trends Ecol Evol. 2007, 22: 634-642. 10.1016/j.tree.2007.08.017.PubMedView ArticleGoogle Scholar
- Hofreiter M, Serre D, Poinar HN, Kuch M, Pääbo S: Ancient DNA. Nat Rev Genet. 2001, 2: 353-359.PubMedView ArticleGoogle Scholar
- Higuchi R, Bowman B, Freiberger M, Ryder OA, Wilson AC: DNA sequences from the quagga, an extinct member of the horse family. Nature. 1984, 312: 282-284. 10.1038/312282a0.PubMedView ArticleGoogle Scholar
- Thomas WK, Pääbo S, Villablanca FX, Wilson AC: Spatial and temporal continuity of kangaroo rat populations shown by sequencing mitochondrial DNA from museum specimens. J Mol Evol. 1990, 31: 101-102. 10.1007/BF02109479.PubMedView ArticleGoogle Scholar
- Pergams ORW, Barnes WM, Nyberg D: Rapid change in mouse mitochondrial DNA. Nature. 2003, 423: 397-10.1038/423397a.PubMedView ArticleGoogle Scholar
- Goldstein PZ, DeSalle R: Calibrating phylogenetic species formation in a threatened insect using DNA from historical specimens. Mol Ecol. 2003, 12: 1993-1998. 10.1046/j.1365-294X.2003.01860.x.PubMedView ArticleGoogle Scholar
- Leonard JA, Wayne RK, Cooper A: Population genetics of Ice Age brown bears. Proc Natl Acad Sci U S A. 2000, 97: 1651-1654. 10.1073/pnas.040453097.PubMed CentralPubMedView ArticleGoogle Scholar
- Harper GL, Maclean N, Goulson D: Analysis of museum specimens suggests extreme genetic drift in the adonis blue butterfly (Polyommatus bellargus). Biol J Linn Soc. 2006, 88: 447-452. 10.1111/j.1095-8312.2006.00632.x.View ArticleGoogle Scholar
- Hartley CJ, Newcomb RD, Russell RJ, Yong CG, Stevens JR, Yeates DK, La Salle J, Oakeshott JG: Amplification of DNA from preserved specimens shows blowflies were preadapted for rapid evolution of insecticide resistance. Proc Natl Acad Sci U S A. 2006, 103: 8757-8762. 10.1073/pnas.0509590103.PubMed CentralPubMedView ArticleGoogle Scholar
- Lozier JD, Cameron SA: Comparative genetic analyses of historical and contemporary collections highlight contrasting demographic histories for the bumble bees Bombus pensylvanicus and B. impatiens in Illinois. Mol Ecol. 2009, 18 (9): 1875-1886. 10.1111/j.1365-294X.2009.04160.x.PubMedView ArticleGoogle Scholar
- Ugelvig LV, Nielsen PS, Boomsma JJ, Nash DR: Reconstructing eight decades of genetic variation in an isolated Danish population of the large blue butterfly Maculinea arion. BMC Evol Biol. 2011, 11: 201-10.1186/1471-2148-11-201.PubMed CentralPubMedView ArticleGoogle Scholar
- Pittaway AR: The Hawkmoths of the Western Palaearctic. 1993, Colchester: Harley BooksGoogle Scholar
- Danner F, Eitschberger U, Surholt B: Die Schwärmer der westlichen Palaearktis. Bausteine zu einer Revision (Lepidoptera: Sphingidae). Herbipoliana. 1998, 4 (1): 1-368.Google Scholar
- Hundsdoerfer AK, Mende MB, Harbich H, Pittaway AR, Kitching IJ: Larval pattern morphotypes in the Western Palaearctic Hyles euphorbiae complex (Lepidoptera: Sphingidae: Macroglossinae). Insect Systematics Evolut. 2011, 42: 41-86. 10.1163/187631211X555302.View ArticleGoogle Scholar
- Hundsdoerfer AK, Kitching IJ, Wink M: A molecular phylogeny of the hawkmoth genus Hyles (Lepidoptera: Sphingidae, Macroglossinae). Mol Phylogenet Evol. 2005, 35: 442-458. 10.1016/j.ympev.2005.02.004.PubMedView ArticleGoogle Scholar
- Hundsdoerfer AK, Kitching IJ, Wink M: The phylogeny of the Hyles euphorbiae complex (Lepidoptera: Sphingidae): Molecular evidence from sequence data and ISSR-PCR fingerprints. Organ Divers Evol. 2005, 5: 173-198. 10.1016/j.ode.2004.11.012.View ArticleGoogle Scholar
- Harbich H: Der Hyles euphorbiae-Komplex - ein taxonomisches Problem? (Lepidoptera: Sphingidae) 1. Teil. Entomologische Zeitschrift. 1988, 98 (7): 81-96.Google Scholar
- Hundsdoerfer AK, Rubinoff D, Attie M, Wink M, Kitching IJ: A revised molecular phylogeny of the globally distributed hawkmoth genus Hyles (Lepidoptera: Sphingidae), based on mitochondrial and nuclear DNA sequences. Mol Phylogenet Evol. 2009, 52: 852-865. 10.1016/j.ympev.2009.05.023.PubMedView ArticleGoogle Scholar
- Kitching IJ, Cadiou J-M: Hawkmoths of the World: An Annotated and Illustrated Revisionary Checklist (Lepidoptera: Sphingidae). 2000, Ithaca and London: University Press and The Natural History MuseumGoogle Scholar
- Hundsdoerfer AK, Mende MB, Kitching IJ, Cordellier M: Taxonomy, phylogeography and climate relations of the Western Palaearctic spurge hawkmoth (Lepidoptera, Sphingidae, Macroglossinae). Zoologica Scripta. 2011, 40 (4): 403-417. 10.1111/j.1463-6409.2011.00477.x.View ArticleGoogle Scholar
- Hewitt G: The genetic legacy of the Quaternary ice ages. Nature. 2000, 405: 907-913. 10.1038/35016000.PubMedView ArticleGoogle Scholar
- Dapporto L: Speciation in Mediterranean refugia and post-glacial expansion of Zerynthia polyxena (Lepidoptera, Papilionidae). J Zool Syst Evol Res. 2009, 48 (3): 229-237.Google Scholar
- Staudinger O: Deilephila Euphorbiae L. var. Grentzenbergi Stgr., und eine neue Anthocharis. Entomologische Nachrichten. 1885, 1: 10-Google Scholar
- Stauder H: Neues aus Unteritalien. Deutsche Entomologische Zeitschrift Iris. 1921, 35: 26-31.Google Scholar
- Stauder H: Neue Lepidopterenformen aus Sizilien. Lepidopterologische Rundschau. 1928, 2: 113-116.Google Scholar
- Dannehl F: Neue Formen und geographische Rassen aus meinen Ausbeuten und Erwerbungen der letzten Jahre. Mitteilungen der Münchner Entomologischen Gesellschaft. 1929, 19: 99-Google Scholar
- Harbich H: Anmerkungen zur Wolfsmilchschwärmerpopulation (Hyles euphorbiae (Linnaeus, 1758)-Komplex) von Malta (Lepidoptera: Sphingidae). Entomologische Zeitschrift. 2009, 119 (2): 51-58.Google Scholar
- Küster H: Geschichte der Landschaft in Mitteleuropa: Von der Eiszeit bis zur Gegenwart. 1995, Munich: Verlag C.H. BeckGoogle Scholar
- Pavan M: Contributo per un libro rosso della fauna e della flora minacciate in Italia. 1992, Pavia: Edizioni dell': Instituto di Entomologia dell’Università di PaviaGoogle Scholar
- Cerfolli F, Petrassi F, Petretti F: Il Libro Rosso degli Invertebrati. 2002, Roma: WWF Italia-Onlus e Ministero dell’Università e della Ricerca Scientifica e TechnologicaGoogle Scholar
- Preiss E, Martin JL, Debussche M: Rural depopulation and recent landscape changes in a Mediterranean region: consequences to the breeding avifauna. Landsc Ecol. 1997, 12: 51-61. 10.1007/BF02698207.View ArticleGoogle Scholar
- Grove AT, Rackham O: The nature of Mediterranean Europe. An ecological history. 2003, New Haven, London: Yale University PressGoogle Scholar
- Moreira F, Russo D: Modelling the impact of agricultural abandonment and wildfires on vertebrate diversity in Mediterranean Europe. Landsc Ecol. 2007, 22: 1461-1476. 10.1007/s10980-007-9125-3.View ArticleGoogle Scholar
- Mastronuzzi G, Sanso P: Holocene coastal dune development and environmental changes in Apulia (southern Italy). Sedimentary Geology. 2002, 150: 139-152. 10.1016/S0037-0738(01)00272-X.View ArticleGoogle Scholar
- Falcucci A, Maiorano L, Boitani L: Changes in land-use/land-cover patterns in Italy and their implications for biodiversity conservation. Landsc Ecol. 2007, 22: 617-631. 10.1007/s10980-006-9056-4.View ArticleGoogle Scholar
- Cencini C, Marchi M, Torresani S, Varani L: The impact of tourism on Italian deltaic coastlands: Four case studies. Ocean Shoreline Manag. 1988, 11: 353-374. 10.1016/0951-8312(88)90014-8.View ArticleGoogle Scholar
- Tellini-Florenzano G: Birds as indicators of recent environmental changes in the Apennines (Foreste Casentinesi National Park, central Italy). Italian J Zool. 2004, 71: 317-324. 10.1080/11250000409356589.View ArticleGoogle Scholar
- Carranza ML, Acosta ATR, Stanisci A, Pirone G, Ciaschetti G: Ecosystem classification for EU habitat distribution assessment in sandy coastal environments: An application in central Italy. Environ Monit Assess. 2007, 140: 99-107.PubMedView ArticleGoogle Scholar
- Prisco I, Acosta ATR, Ercole S: An overview of the Italian coastal dune EU habitats. Annali di Botanica (Roma). 2012, 2: 39-48.Google Scholar
- Ghini S, Fernandez M, Pico Y, Martin R, Fini F, Manes J, Girotti S: Occurrence and distribution of pesticides in the Province of Bologna, Italy, using Honeybees as bioindicators. Arch Environ Contam Toxicol. 2004, 47: 479-488. 10.1007/s00244-003-3219-y.PubMedView ArticleGoogle Scholar
- Isenring R: Pesticides and the loss of biodiversity. 2010, Pesticide Action Network Europe: How intensive pesticide use affects wildlife populations and species diversityGoogle Scholar
- Kahlen M, Hellrigl K, Schwienbacher W: Lista Rossa delle specie animali minacciate in Alto Adige. 1994, Ripartizione Tutela del paesaggio e della natura, Provincia Autonoma di Bolzano - Alto Adige: Tezzele, Laives (BZ)Google Scholar
- Bonelli S, Cerrato C, Loglisci N, Balletto E: Population extinctions in the Italian diurnal Lepidoptera: an analysis of possible causes. J Insect Conserv. 2011, 15: 879-890. 10.1007/s10841-011-9387-6.View ArticleGoogle Scholar
- Ridley M: Evolution. 2004, Malden: Blackwell Publishing, 3Google Scholar
- Hanski I: Metapopulation ecology. 1999, Oxford, USA: Oxford University PressGoogle Scholar
- Hundsdoerfer AK, Sanetra M, Corbeil D, Stuckas H: Eleven hawkmoth microsatellite loci of Canary Island Hyles tithymali (Lepidoptera). Conserv Genet Res. 2009, 2: 241-244.View ArticleGoogle Scholar
- Mende MB, Stuckas H, Hundsdoerfer AK: Eight new microsatellite loci of the Western Palearctic Hyles euphorbiae complex (Lepidoptera, Sphingidae). Annales Zoologici Fennici. 2011, 48: 142-146. 10.5735/086.048.0302.View ArticleGoogle Scholar
- Parmesan C, Ryrholm N, Stefanescu C, Hill JK, Thomas CD, Descimon H, Huntley B, Kaila L, Kullberg J, Tammaru T, Tennent WJ, Thomas JA, Warren M: Poleward shifts in geographical ranges of butterfly species associated with regional warming. Nature. 1999, 399: 579-583. 10.1038/21181.View ArticleGoogle Scholar
- Thomas CD, Bodsworth EJ, Wilson RJ, Simmons AD, Davies ZG, Musche M, Conradt L: Ecological processes at expanding range margins. Nature. 2001, 411: 577-581. 10.1038/35079066.PubMedView ArticleGoogle Scholar
- Warren MS, Hill JK, Thomas JA, Asher J, Fox R, Huntley B, Roy DB, Telfer MG, Jeffcoate S, Harding P, Jeffcoate G, Willis SG, Greatorex-Davies JN, Moss D, Thomas CD: Rapid responses of British butterflies to opposing forces of climate and habitat change. Nature. 2001, 414: 65-69. 10.1038/35102054.PubMedView ArticleGoogle Scholar
- Battisti A, Stastny M, Netherer S, Robinet C, Schopf A, Roques A, Larsson S: Expansion of geographic range in the pine processionary moth caused by increased winter temperatures. Ecol Appl. 2005, 15 (6): 2084-2096. 10.1890/04-1903.View ArticleGoogle Scholar
- Parmesan C: Ecological and evolutionary response to recent climate change. Annu Rev Ecol Evol Syst. 2006, 37: 637-669. 10.1146/annurev.ecolsys.37.091305.110100.View ArticleGoogle Scholar
- Hickling R, Roy DB, Hill JK, Fox R, Thomas CD: The distributions of a wide range of taxonomic groups are expanding polewards. Glob Chang Biol. 2006, 12: 450-455. 10.1111/j.1365-2486.2006.01116.x.View ArticleGoogle Scholar
- Levitan M, Etges WJ: Climate change and recent genetic flux in populations of Drosophila robusta. BMC Evol Biol. 2005, 5: 4-10.1186/1471-2148-5-4.PubMed CentralPubMedView ArticleGoogle Scholar
- Balanya J, Oller JM, Huey RB, Gilchrist GW, Serra L: Global genetic change tracks global climate warming in Drosophila subobscura. Science. 2006, 313: 1773-1775. 10.1126/science.1131002.PubMedView ArticleGoogle Scholar
- Mallet J, Wynne IR, Thomas CD: Hybridisation and climate change: brown argus butterflies in Britain (Polyommatus subgenus Aricia). Insect Conserv Divers. 2010, 4 (3): 192-199.View ArticleGoogle Scholar
- Brunetti M, Maugeri M, Monti F, Nanni T: Temperature and precipitation variability in Italy in the last two centuries from homogenized instrumental time series. Int J Climatology. 2006, 26: 345-381. 10.1002/joc.1251.View ArticleGoogle Scholar
- Natura. 2000, http://ec.europa.eu/environment/nature/natura2000/sites_hab/biogeog_regions/maps/mediterranean.pdf, – Mediterranean biogeographical region,
- Ayres MP, Scriber JM: Local adaptation to regional climates in Papilio canadensis (Lepidoptera: Papilionidae). Ecol Monogr. 1994, 64 (4): 465-482. 10.2307/2937146.View ArticleGoogle Scholar
- Hundsdoerfer AK, Kitching IJ: A method for improving DNA yield from century-plus old specimens of large Lepidoptera while minimizing damage to external and internal abdominal characters. Arthropod Systematics Phylogeny. 2010, 68 (1): 151-155.Google Scholar
- Römpler H, Dear PH, Krause J, Meyer M, Rohland N, Schöneberg T, Spriggs H, Stiller M, Hofreiter M: Multiplex amplification of ancient DNA. Nat Protoc. 2006, 1 (2): 720-728. 10.1038/nprot.2006.84.PubMedView ArticleGoogle Scholar
- Hajibabaei M, Smith MA, Janzen DH, Rodriguez JJ, Whitfield J, Hebert PDN: A minimalist barcode can identify a specimen whose DNA is degraded. Mol Ecol Notes. 2006, 6: 959-964. 10.1111/j.1471-8286.2006.01470.x.View ArticleGoogle Scholar
- Glenn TC, Stephan W, Braun MJ: Effects of a population bottleneck on whooping crane mitochondrial DNA variation. Conserv Biol. 1999, 13 (5): 1097-1107. 10.1046/j.1523-1739.1999.97527.x.View ArticleGoogle Scholar
- Godoy JA, Negro JJ, Hiraldo F, Donazar JA: Phylogeography, genetic structure and diversity in the endangered bearded vulture (Gypaetus barbatus, L.) as revealed by mitochondrial DNA. Mol Ecol. 2004, 13: 371-390. 10.1046/j.1365-294X.2003.02075.x.PubMedView ArticleGoogle Scholar
- Stuart BL, Fritz U: Historical DNA from museum type specimens clarifies diversity of Asian leaf turtles (Cyclemys). Biol J Linn Soc. 2008, 94: 131-141. 10.1111/j.1095-8312.2008.00966.x.View ArticleGoogle Scholar
- Sefc KM, Payne RB, Sorenson MD: Single base errors in PCR products from avian museum specimens and their effect on estimates of historical genetic diversity. Conser Genet. 2007, 8: 879-884. 10.1007/s10592-006-9240-8.View ArticleGoogle Scholar
- Stiller M, Green RE, Ronan M, Simons JF, Du L, He W, Egholm M, Rothberg JM, Keates SG, Ovodov ND, Antipina EE, Baryshnikov GF, Kuzmin YV, Vasilevski AA, Wuenschell GE, Termini J, Hofreiter M, Jaenicke-Després V, Pääbo S: Patterns of nucleotide misincorporations during enzymatic amplification and direct large-scale sequencing of ancient DNA. Proc Natl Acad Sci U S A. 2006, 103: 13578-13584. 10.1073/pnas.0605327103.PubMed CentralPubMedView ArticleGoogle Scholar
- The Comprehensive R Archive Network. http://cran.r-project.org/,
- Dean MD, Ballard JWO: Factors affecting mitochondrial DNA quality from museum preserved Drosophila simulans. Entomol Exp Appl. 2001, 98: 279-283. 10.1046/j.1570-7458.2001.00784.x.View ArticleGoogle Scholar
- Hall TA: BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symposia Series. 1999, 41: 95-98.Google Scholar
- Jarvis A, Reuter HI, Nelson A, Guevara E: Hole-filled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90 m Database. 2008, http://srtm.csi.cgiar.org,Google Scholar
- Pertoldi C, Hansen MMI, Loeschcke V, Madsen AB, Jacobsen L, Baagoe H: Genetic consequences of population decline in the European Otter (Lutra lutra): An assessment of microsatellite DNA variation in Danish otters from 1883 to 1993. Proc R Soc Lond B. 2001, 268 (1478): 1775-1781. 10.1098/rspb.2001.1762.View ArticleGoogle Scholar
- University of East Anglia Climatic Research Unit [Jones P, Harris I]: CRU Time Series (TS) high resolution gridded datasets. 2008, NCAS British Atmospheric Data Centre, http://badc.nerc.ac.uk/view/badc.nerc.ac.uk__ATOM__dataent_1256223773328276,Google Scholar
- Mitchell TD, Jones PD: An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int J Climatology. 2005, 25 (6): 693-712. 10.1002/joc.1181.View ArticleGoogle Scholar
- Österle H, Gerstengarbe F-W, Werner PC: Qualitätsprüfung, Ergänzung und Homogenisierung der täglichen Datenreihen in Deutschland, 1951–2003: Ein neuer Datenansatz. Proceedings der 7 Deutschen Klimatagung, Klimatrends: Vergangenheit und Zukunft; 9–11. 2006, München, http://www.meteo.physik.uni-muenchen.de/dkt, October ,Google Scholar
- Historical Climatology Group. http://www.isac.cnr.it/~climstor/
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