Literature DB >> 26261436

An Asiatic Chironomid in Brazil: morphology, DNA barcode and bionomics.

Gizelle Amora1, Neusa Hamada1, Lívia Maria Fusari2, Vanderly Andrade-Souza1.   

Abstract

In most freshwater ecosystems, aquatic insects are dominant in terms of diversity; however, there is a disproportionately low number of records of alien species when compared to other freshwater organisms. The Chironomidae is one aquatic insect family that includes some examples of alien species around the world. During a study on aquatic insects in Amazonas state (Brazil), we collected specimens of Chironomidae that are similar, at the morphological level, to Chironomuskiiensis Tokunaga and Chironomusstriatipennis Kieffer, both with distributions restricted to Asia. The objectives of this study were to provide morphological information on this Chironomus population, to investigate its identity using DNA barcoding and, to provide bionomic information about this species. Chironomus DNA barcode data were obtained from GenBank and Barcode of Life Data Systems (BOLD) and, together with our data, were analyzed using the neighbor-joining method with 1000 bootstrap replicates and the genetic distances were estimated using the Kimura-2-parameter. At the morphological level, the Brazilian population cannot be distinguished either from Chironomusstriatipennis or Chironomuskiiensis, configuring a species complex but, at the molecular level our studied population is placed in a clade together with Chironomusstriatipennis, from South Korea. Bionomic characteristics of the Brazilian Chironomus population differ from the ones of Chironomuskiiensis from Japan, the only species in this species complex with bionomic information available. The Brazilian Chironomus population has a smaller size, the double of the number of eggs and inhabits oligotrophic water, in artificial container. In the molecular analysis, populations of Chironomusstriatipennis and Chironomuskiiensis are placed in a clade, formed by two groups: Group A (which includes populations from both named species, from different Asiatic regions and our Brazilian population) and Group B (with populations of Chironomuskiiensis from Japan and South Korea). Genetic distance between the Brazilian population and specimens in Group A suggests that it was recently introduced in Brazil, and that its country of origin is probably South Korea.

Entities:  

Keywords:  Amazonas; Aquatic insects; Chironomuskiiensis; Chironomusstriatipennis; non-native species; sibling species

Year:  2015        PMID: 26261436      PMCID: PMC4525028          DOI: 10.3897/zookeys.514.9925

Source DB:  PubMed          Journal:  Zookeys        ISSN: 1313-2970            Impact factor:   1.546


Introduction

Alien species represent one of the most serious threats to biodiversity at different taxonomic levels (Mack et al. 2000) including freshwater ecosystems (Gherardi 2007). Human activities have been contributing to the increase and to the strengthening of this process (Lodge 1993) as many species can be transported around the world on human transportation systems such as ships, airplanes and automobiles. Examples include the green crab ( Linnaeus, 1758), mud crab ( Gould, 1841) and blue mussel ( Lamark, 1819), which were recorded being transported in ballast tanks (Briski et al. 2012). The Asian tiger mosquito ( (Skuse, 1894)), which is a vector of the dengue viruses, was introduced in several countries through the importation of tires from Asia (Fontenille and Toto 2001). Despite their dominance in terms of diversity in most freshwater ecosystems, aquatic insects have a disproportionately low number of alien species when compared to other freshwater macroinvertebrates (Karatayev et al. 2009). Exceptions include several examples of recognized alien species of (Zimmermann 1957), including one in Brazil, a species from Africa reported in Brazil’s Espirito Santo state (Salles et al. 2014). Among the necessary characteristics for a species to become a successful invasive alien are: phenotypic plasticity, ability for uniparental reproduction and fast growth in disturbed habitats (Kleunen et al. 2010). Additional important characteristics for alien aquatic insects are: generalist feeding (e.g., detritivores), year-round breeding capacity, ability to colonize peri-urban environments and artificial water bodies, and the climatic similarity of invaded and source environments (De Moor 1992). species often have characteristics mentioned above, and cases of successfully introduced species have been reported around the world (Jacobsen and Perry 2007, Hribar et al. 2008; Gray et al. 2012). During a study on aquatic insects in Amazonas state (Brazil), we collected specimens of that were similar, at the morphological level, to Tokunaga and, we have named it as such (Lacerda et al. 2014). However, Martin (2014) reported that Kieffer is morphologically similar to and, that the latter is treated as a junior synonym of ; cytogenetic studies also indicated that both species are included in the pseudothummi-cytocomplex species. Both species have geographic distribution restricted to Asia. is widely distributed in South and Southeast Asia and it is a common species in rice fields and other wetlands in India (Chaudhuri and Chattopadhyay 1990), while is reported as the most prevalent species in South Korea and Japan (Ree 1993). The problem is that identification of these species is based, mainly, on their geographical distribution since it is not possible to distinguish them at the morPageBreakphological level (Martin 2014). This fact results in specimens collected in South and Southeast Asia being identified as and those collected in South Korea and Japan being identified as (e.g., Nath and Lakhotia 1989; Yong et al. 1999; Jeong et al. 2004; Nandi et al. 2011). In view of this complex situation, our objectives were to register a population of this Asiatic species complex in Brazil, to provide morphological information on this population, to investigate its identity using DNA barcoding and, to provide bionomic information about this species.

Methods

Study area and field collection

Egg masses of the Brazilian population were collected in tap water accumulated in a 10 L plastic container, for several days (5th, 6th, 8th, 10th and 14th), in January 2011 in the urban area of Manaus municipality Amazonas, Brazil (03°06'50.17"S, 59°58'30.99"W). The egg masses were placed individually in 80 mL plastic vials, which were labeled with collection information, covered with a screen and observed daily until the larvae hatched and abandoned the gelatinous mass. Larvae from each egg batch were transferred to a plastic tray (19.5×31×6.5 cm) containing burned sand as substrate and 1.5 L of water (pH = 5.9; electrical conductivity of 20.7 µS cm-1). The trays were covered with wooden structures (40×21×32 cm) serving as frames for screens (2 mm mesh), following a model modified from Fonseca and Rocha (2004) for retention of adults and behavioral observations. Larvae were fed fish food (TETRAMIM®) every 48 hours. The colony established using this collected material was kept in the insect-raising facility at the Coordenação de Biodiversidade, Instituto Nacional de Pesquisas da Amazônia (INPA), at environmental conditions similar to those of the climate in Manaus during the months from May to September 2011: temperature of 26 ± 0.3 °C; air humidity of 75 ± 7.7% and photoperiod of 12/12 hours (data obtained from http://www.inmet.gov.br). The specimens analyzed in the present study were obtained from this colony.

Species identification based on morphological and molecular analysis

Emerged adults with pupal and larval exuviae from the colony were dissected and mounted on slides with Euparal® following the procedures outlined by Epler (1988). The morphological characteristics analyzed were male genitalia, anal spur and distribution of shagreen in pupae and, in structures present on the larval head capsule (antenna, pectin epipharyngis, premandible, mandible, mentum, labral setae). Comparisons between the Brazilian population (n = 40; 10 adult male, 10 adult female, 10 pupae and 10 larvae) and other species were made using available species descriptions PageBreakand related literature (Kieffer 1910; Tokunaga 1936; Chaudhuri et al. 1992; Martin 2014). We also examined specimens of (n = 4; 1 male adult, 1 pupa and 2 larvae) from India (lent by Dr. Jon Martin, University of Melbourne, Australia) and specimens of (n = 30; 10 male adult, 5 adult female, 5 pupae and 10 larvae) from Japan (lent by Dr. Masaru Yamamoto, from Yamaguchi Prefecture). The measurements and images presented in this study were obtained using an Olympus compound microscope with a mounted digital photographic camera, model Olympus DP72, using Cell D (Olympus) software and a stereomicroscope (Leica M165C), with Leica software (auto montage, Application Suite V3). Molecular analyses were done using the DNeasy Blood & Tissue (Qiagen) kit following the manufacturer’s recommendations. Amplifications of the extracted DNA from three specimens (2 larvae and 1 adult male) of the Brazilian population were made using primers developed by Folmer et al. (1994) that are specific for the Cytochrome Oxidase I (COI) gene in the mitochondrial DNA. The amplified fragments were purified by the EXO-SAP (Exonuclease I-Shrimp Alkaline Phosphatase) method and sent to the Centro de Estudo do Genoma Humano (Universidade de São Paulo), where they were sequenced using an ABI 3730 DNA Analyzer. Sequences for 14 species and (Sasa, 1985) available at the GenBank and Barcode of Life Data Systems (BOLD) were used in the analysis (accession numbers in Table 1). The alignment and editing of the sequences were done in BioEdit software v.5.0.6 (Hall 1999). A tree was constructed using the neighbor-joining method with 1000 bootstrap replicates, and genetic distances were estimated using the Kimura-2-parameter (K2P) model in the Mega5 program (Tamura et al. 2011).
Table 1.

GenBank and BOLD accession numbers of the sequences from species of and included in the analysis.

SpeciesAccession numbersReference
Chironomus kiiensisJF412086JF412089*; KC407765*; AB838642AB838646*; JQ350720*; AB740240AB740241*Kim et al. 2012 -
Chironomus striatipennisCOTW008-08, COTW011-08, COTW012-08, COTW027-10**-
Chironomus balatonicusJN016827*-
Chironomus calligraphusKF278357*; COTW041-11COTW042-11**Proulx et al. 2013 -
Chironomus columbiensisCOTW001-08COTW002-08**-
Chironomus curabilisJN016822*-
Chironomus flaviplumusJF412077*Kim et al. 2012
Chironomus javanusJF412085*Kim et al. 2012
Chironomus nipponensisJN887053*-
Chironomus plumosusJF412198*Kim et al. 2012
Chironomus salinariusKC250756*Kim et al. 2012
Chironomus usenicusJN016819*-
Chironomus xanthusDQ648209*-
Lipiniella fujiprimusJF412078*Kim et al. 2012

*GenBank; **BOLD; - data unpublished.

Voucher specimens of the Brazilian population are deposited in the Coleção de Invertebrados do Instituto Nacional de Pesquisas da Amazônia. Haplotype sequences are deposited in GenBank under the accession numbers KJ424334–KJ424336. GenBank and BOLD accession numbers of the sequences from species of and included in the analysis. *GenBank; **BOLD; - data unpublished.

Biological information

The egg masses were characterized by their shape, length, width and number of eggs; the maximum length and width of eggs were measured. In order to determine the development time of the egg stage, five egg masses were isolated and observed every hour until first instar hatched. Ten egg masses were isolated to determine the development time of each of the four larval instars; starting from the moment at which the first instar hatched, three larvae were fixed (in 80% ethanol) daily, until the last larva of the egg mass pupated. To identify the instar of each of the fixed larvae; they were mounted between slide and coverslip (using Hoyer as the mounting medium) to measure the ventral length of the head capsule, following the methodology of Strixino (1973). To classify larvae into one of the four larval instars, the measurements obtained were subjected to a frequency-distribution analysis; each peak in the graph indicates a larval instar (Strixino 1973). The development time of each instar was determined based on the size limits of each PageBreaklarval instar obtained in the frequency-distribution graph and the day when they were preserved. The development time of each larval instar was determined by combining information gathered from the frequency distribution graph with the measurements of the head capsule of the larvae collected daily. To estimate pupal development time, 50 pupae were observed every 12 hours from the moment of pupation until adult emergence. Longevity of adults was estimated using 50 adults that emerged in the laboratory on the same day; these were isolated in pairs (male and female) in cages made of PET bottles and observed until there were no more survivors.

Results

Morphological analysis

The morphology of the Brazilian population (adult, pupal and larval) is identical to that presented in the original descriptions of and of (Kieffer 1910; Tokunaga 1936), and in other taxonomic papers on these two species (Chaudhuri et al. 1992; Martin 2014), it being impossible to distinguish them from each other morphologically. The examined specimens of (Fig. 1A, D, G) from India and of (Fig. 1B, E, H) from Japan were also morphologically indistinguishable from the Brazilian population (Fig. 1C, F, I).
Figure 1.

Adult male and pupae. , Indian population. A Wing D Hypopygium, dorsal view G Anal spur, dorsal view. , Japanese population B Wing E Hypopygium, dorsal view H Anal spur, dorsal view. , Brazilian population C Wing F Hypopygium, dorsal view I Anal spur, dorsal view. Scale bar: 500 µm (A, B, C, G, H, I); 200 µm (D, E, F).

Adult male and pupae. , Indian population. A Wing D Hypopygium, dorsal view G Anal spur, dorsal view. , Japanese population B Wing E Hypopygium, dorsal view H Anal spur, dorsal view. , Brazilian population C Wing F Hypopygium, dorsal view I Anal spur, dorsal view. Scale bar: 500 µm (A, B, C, G, H, I); 200 µm (D, E, F).

Molecular analysis

In the neighbor-joining tree (Fig. 2), we observed that the Brazilian population ( sp1BRA, sp2BRA and sp3BRA) grouped, with 94% bootstrap support, with others specimens of and of from different regions of East Asia. The analysis resulted in two groups, each with 100% bootstrap support, which we named “Group A” and “Group B”. Group A is composed of the Brazilian population and specimens identified as from South Korea and Japan and from Malaysia and India. Group B included specimens identified as , also from South Korea and Japan.
Figure 2.

NJ tree based on the COI sequences of the mtDNA of (: ) species. The sequence of was used as the outgroup. Bootstrap values > 50% are shown on branches. Accession numbers and countries are provided beside the species names. Species flagged with an asterisk (*) are neotropical species. Brazilian population: sp1BRA; sp2BRA; sp3BRA

NJ tree based on the COI sequences of the mtDNA of (: ) species. The sequence of was used as the outgroup. Bootstrap values > 50% are shown on branches. Accession numbers and countries are provided beside the species names. Species flagged with an asterisk (*) are neotropical species. Brazilian population: sp1BRA; sp2BRA; sp3BRA species from other regions, including the three specimens from Brazil, were included in a distinct clade (Fig. 2). Considering that Groups A and B represent monophyletic groups, based on the intraspecific genetic distance between their members, we observe that in Group A the genetic distance varied from 0.0 to 3.3%, while in PageBreakGroup B the distance varied from 0.6 to 2.0% (Table 2). The average genetic distance between sequences from Groups A and B was 9.6% (Table 3), and within each group the average genetic distance was 1.3%.
Table 2.

Genetic distance between Groups A and B and other species based on the COI gene in the mtDNA. Values in bold in the first two lines indicate genetic distance within each group, and in the remaining lines bold values indicate intraspecific genetic distances. Analyses were conducted using Kimura-2-parameter model.

12345678910111213
1.Group A1.3
2.Group B9.61.3
3.Chironomus nipponensis17.015.6
4.Chironomus plumosus17.219.512.0
5.Chironomus flaviplumus14.413.313.517.9
6.Chironomus javanus13.313.615.416.715.0
7.Chironomus curabilis17.217.011.05.516.317.4
8.Chironomus usenicus16.517.510.53.116.817.24.0
9.Chironomus balatonicus18.217.212.08.816.116.58.48.2
10.Chironomus salinarius17.915.715.418.715.118.316.417.018.4
11.Chironomus calligraphus14.816.116.117.212.115.517.216.216.317.01.8
12.Chironomus columbiensis13.712.214.315.711.713.815.615.016.616.612.31.2
13.Chironomus stigmateus16.915.616.118.616.215.317.017.619.615.717.515.7
14.Chironomus xanthus10.510.610.15.913.89.47.46.76.512.39.710.513.8
Table 3.

Pairwise per cent nucleotide differences (p-distance) between all specimens based on the COI gene in the mtDNA. Analyses were conducted using the Kimura-2-parameter model. Values in bold are genetic distances between Groups A and B.

12345678910111213141516171819
1.Chironomus sp1BRA
2.Chironomus sp2BRA0.0
3.Chironomus sp3BRA0.00.0
4.Chironomus kiiensis_JF412086_South_Korea0.80.80.8
5.Chironomus kiiensis_JF412087_South_Korea0.80.80.80.0
6.Chironomus kiiensis_JF412089_South_Korea0.80.80.80.00.0
7.Chironomus kiiensis_KC407765_South_Korea0.80.80.80.00.00.0
8.Chironomus kiiensis_JF412088_South_Korea1.11.11.10.30.30.30.3
9.Chironomus kiiensis_AB740241_Japan1.21.21.20.60.60.60.60.6
10.Chironomus kiiensis_AB838643_Japan1.71.71.70.90.90.90.91.21.5
11.Chironomus kiiensis_AB838645_Japan0.90.90.90.20.20.20.20.20.51.1
12.Chironomus kiiensis_AB838646_Japan0.90.90.90.30.30.30.30.30.31.20.2
13.Chironomus striatipennis_COTW008_Japan0.90.90.90.20.20.20.20.20.51.10.00.2
14.Chironomus striatipennis_COTW011_India3.03.03.02.52.52.52.52.83.13.32.62.82.6
15.Chironomus striatipennis_COTW012_India2.82.82.82.62.62.62.62.62.93.32.42.62.41.3
16.Chironomus striatipennis_COTW027_Malaysia2.82.82.82.22.22.22.22.21.93.12.01.92.03.32.8
17.Chironomus kiiensis_AB740240_Japan9.29.29.29.19.19.19.19.29.29.79.19.29.110.410.09.6
18.Chironomus kiiensis_AB838642_Japan9.19.19.19.29.29.29.29.49.49.99.29.49.210.39.89.90.6
19.Chironomus kiiensis_AB838644_Japan9.29.29.29.49.49.49.49.69.610.39.49.69.410.19.69.90.60.6
20.Chironomus kiiensis_JQ350720_South_Korea10.110.110.110.110.110.110.110.39.911.210.19.910.111.110.710.31.92.22.0
Genetic distance between Groups A and B and other species based on the COI gene in the mtDNA. Values in bold in the first two lines indicate genetic distance within each group, and in the remaining lines bold values indicate intraspecific genetic distances. Analyses were conducted using Kimura-2-parameter model. Pairwise per cent nucleotide differences (p-distance) between all specimens based on the COI gene in the mtDNA. Analyses were conducted using the Kimura-2-parameter model. Values in bold are genetic distances between Groups A and B. Within Group A there are three specimens of from Malaysia and India with a mean genetic divergence of 2.6%, a higher value considering that the mean divergence between the remaining group members was 0.6% (Table 3). The mean genetic distance between Groups A, B and other species, including Neotropical species, was 15.6%, ranging from 10.5 to 19.5% (Table 3). Egg masses of the Brazilian population were found attached by a stem in the wall of a plastic tray with water. The egg masses measured 16.6 mm (SD = 3.1; n = 5) in length and 1.59 mm (SD = 0.04; n = 5) in width (median region). Each mass contained an average of 600 eggs (SD = 104; n = 5). The eggs were elliptical in shape and measured, on average, 0.24 mm (SD = 0.02; n = 50) in length and 0.10 mm (SD = 0.01; n = 50) in width. The mean incubation time of the eggs was two days (SD = 0.5; n = 50) at 26 °C, with a hatching rate of 89.9%. The eggs were distributed in a pseudo-spiral pattern, in alternate parallel rows along the primary axis of the gelatinous mass (Fig. 3A) and eggs were eliptic format (Fig. 3B).
Figure 3.

, Brazilian population. A Egg mass B Egg.

, Brazilian population. A Egg mass B Egg. The four instars of the Brazilian population were well defined using the ventral length of the head capsule. Mean length of the head capsule of the 1st-instar is 54.7 µm (SD = 4.2; n = 81); the 2nd 93.7 µm (SD = 4.5; n = 53); the 3rd 157.1 µm (SD = 7.2; n = 67) and the 4th 257.6 µm (SD = 16.7; n = 316) (Fig. 4).
Figure 4.

Frequency of occurrence of the ventral length of the cephalic capsule of a Brazilian population (: ) showing the four larval instars.

Frequency of occurrence of the ventral length of the cephalic capsule of a Brazilian population (: ) showing the four larval instars. Development times of the 1st (SD = 0.6; n = 81), 2nd (SD = 1.0; n = 53) and 3rd instars (SD = 1.1; n = 67) were similar, each averaging three days; the 4th instar was the longest, with mean development time of 10 days (SD = 2.5; n = 316). Mean time for complete larval stage development was 19 days (SD = 5.2; n = 517). Mean development time for the pupal stage, at 26 °C, was two days (SD = 0.24, n = 50). The life span of adults, on average, at 26 °C, was three days for both males (SD = 0.70, n = 50) and females (SD = 0.65, n = 50). Development time of the Brazilian population from the time larvae hatch to the adult stage was 27 days at 26°C. The emergence percentage was 42.9% for females and 57.1% for males.

Discussion

Species identification

High morphological similarities observed between the Brazilian population and both and (Kieffer 1910; Tokunaga 1936) corroborate the studies that reported the difficulty in distinguishing the latter two species at the morphological level, including the one that proposed as a synonym of (Martin 2014). However, cytotaxonomic studies have indicated that they are sibling species that belong to the same cytocomplex (Martin 2014). Our molecular analysis showed that both species names have been applied to specimens with high genetic divergence, and that the identification based on geographical distribution, which is currently in common usage to circumscribe both species (e.g., Nath and Lakhotia 1989; Yong et al. 1999; Jeong et al. 2004; Nandi et al. 2011), is not a good taxonomic practice. Studies on the genetic intraspecific divergence in some genera have reported values between 0.5 and 2.3% (Sinclair and Gresens 2008; Silva et al. 2013; Proulx et al. 2013; Trivinho-Strixino et al. 2012). Similar values were observed in studies on other insects, including some families (e.g., Beckenbach and Borkent 2003; Hamada et al. 2010; Hernández-Triana et al. 2012). Although Silva et al. (2013) attributed low intraspecific divergence (mean 0.91%) to the specimens having been collected in the same place, our results and other studies, for example, with and , do not corroborate this hypothesis (e.g., Hebert et al. 2004; Hernández-Triana et al. 2012). The interspecific genetic divergence observed in our data is in accordance with results for other groups of and other aquatic families, with values around 15% (Beckenbach and Borkent 2003; Sinclair and Gresens 2008; Proulx et al. 2013; Silva et al. 2013), corroborating the hypothesis that Groups A and B represents at least two distinct species. Group A is composed of specimens identified as and from different regions of Asia. Within this group, there are three specimens identified as from Malaysia and India (the country where this species was described) with high genetic divergence (mean 2.62%) when compared to other members in Group A (Table 3.). This fact might be an indication of the presence of two sibling species in Group A. But, since we have no detailed information on the morphology of all life stages of the populations included in Group A, we suggest that this group should be treated as a species complex. Based on ICNZ rules (Principle of Priority – Article 23.3), and as encouraged by Martin (2014), we named Group A as the species complex. The large genetic distance (mean 9%) between Group B specimens (composed of specimens identified as from Japan and South Korea) and Group A is a clear indication that each clade represents a distinct species. This is also corroborated by the genetic distance observed between specimens in each species group (maximum = 3.3%), and by the interspecific genetic distance values reported by other studies. For example, a study on three populations observed that the genetic distances PageBreakbetween them were greater than 7%, indicating the presence of three species (Trivinho-Strixino et al. 2012). Since was described from Japan, we hypothesized that the specimens in Group B may represent this species. On the other hand, because of the lack of information on the morphology of all life stages of these populations, and based on genetic information obtained from GenBank for specimens collected near the type locality of , we choose do not propose any name for Group B specimens. The placement of the Brazilian population in Group A and its small genetic distance from South Korean specimens (0.8%) indicates that this might represents a recently introduced species in Brazil, probably, from a population from South Korea. This could have occurred due to the fact that Manaus is located in a port zone, receiving many cargo ships from different continents, including Asia, due to the presence of industries in the Manaus Tax-Free Zone (SUFRAMA). We therefore assume that specimens of the Brazilian species arrived in Brazil by ship. Other exotic species have been entering the country by this way, perhaps using ballast water or some other source of standing water (e.g. Santos and Lamonica 2008; Brodin and Anderson 2009; Raunio et al. 2009; Jensen 2010). Environmental conditions where the Brazilian population and the Japanese population were collected were different: the Brazilian population was observed inhabiting oligotrophic water and the Japonese population eutrophic water (Inoue et al. 2008; Al-Shami et al. 2010). The Brazilian population has double the number of eggs (~ 600 eggs) compared to from Japan, although they were reared at similar water temperatures (25–26 °C), feeding methodology and food type were not the same (Maeda and Yano 1988). Larval development time of the Brazilian population was shorter (10 days) than that of the Japanese population (14–20 days) (Nandi et al. 2011). Development times of the 1st, 2nd and the 3rd instars of the Brazilian population was shorter than that of the 4th instar, as has also been observed in other species (Fonseca and Rocha 2004; Zilli et al. 2008). The 4th instar’s long larval development time is probably due to the greatest body growth occurring in this period (Tokeshi 1995), as well the production and maturation of the oocytes (Strixino and Trivinho-Strixino 1985). The size of last-instar larvae, represented by the ventral length of the head capsule, of the Brazilian population was smaller than that of the Japanese population (Maeda and Yano 1998). Male survival time of the Brazilian population under laboratory conditions was shorter (three days) than in the Japanese population at similar air temperature (25 °C) (Maeda and Yano 1988; Nandi et al. 2011). Environmental conditions can have an effect on species biology and information in this area is important for characterizing the habitat of each species in a species complex and can help to delimit each species in the complex.

Concluding remarks

In this study we addressed the taxonomic problem involving the species named and from Asia, since these names have been used for specimens morphologically similar and closely related. Regional variation among Asian populations of the two above mentioned species was observed, but only at molecular level, based on the genetic distance estimated using a partial COI sequence. We hypothesize that these two names encompass at least two, and perhaps three, species, based on sequences deposited in GenBank and BOLD. We indicated that the usual way to identify these two species, which are practically indistinguishable at the morphological level, based on geographical distribution is not a feasible approach, since specimens identified with the same name () from Japan and South Korea have highly genetic divergent (genetic distance of 9%). A detailed study, including the morphology of all life stages and a multilocus molecular analysis of populations from the entire distribution needs to be done to solve this taxonomic problem. The presence of an Asiatic in Brazil might be the consequence of human globalization, where fast and easy global transportation systems are available to any organisms with the minimum characteristics of alien species. This example also demonstrates that the geographic limits of species cannot be considered in isolation, but rather need to be examined from a broad perspective to avoid mistakes.
  15 in total

1.  Molecular analysis of the biting midges (Diptera: Ceratopogonidae), based on mitochondrial cytochrome oxidase subunit 2.

Authors:  Andrew T Beckenbach; Art Borkent
Journal:  Mol Phylogenet Evol       Date:  2003-04       Impact factor: 4.286

2.  Are invaders different? A conceptual framework of comparative approaches for assessing determinants of invasiveness.

Authors:  Mark van Kleunen; Wayne Dawson; Daniel Schlaepfer; Jonathan M Jeschke; Markus Fischer
Journal:  Ecol Lett       Date:  2010-06-23       Impact factor: 9.492

3.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

4.  Biological invasions: Lessons for ecology.

Authors:  D M Lodge
Journal:  Trends Ecol Evol       Date:  1993-04       Impact factor: 17.712

5.  Using various lines of evidence to identify Chironomus species (Diptera: Chironomidae) in eastern Canadian lakes.

Authors:  Isabelle Proulx; Jon Martin; Melissa Carew; Landis Hare
Journal:  Zootaxa       Date:  2013-11-29       Impact factor: 1.091

6.  Chironomus calligraphus (Diptera: Chironomidae), a new pest species in Georgia.

Authors:  Elmer W Gray; Candace Royals; John H Epler; Roger D Wyatt; Ben Brewer; Ray Noblet
Journal:  J Am Mosq Control Assoc       Date:  2012-09       Impact factor: 0.917

7.  Aedes (Stegomyia) albopictus (Skuse), a potential new Dengue vector in southern Cameroon.

Authors:  D Fontenille; J C Toto
Journal:  Emerg Infect Dis       Date:  2001 Nov-Dec       Impact factor: 6.883

8.  Discrimination of Cricotopus species (Diptera: Chironomidae) by DNA barcoding.

Authors:  C S Sinclair; S E Gresens
Journal:  Bull Entomol Res       Date:  2008-07-01       Impact factor: 1.750

9.  DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates.

Authors:  O Folmer; M Black; W Hoeh; R Lutz; R Vrijenhoek
Journal:  Mol Mar Biol Biotechnol       Date:  1994-10

10.  Discovery of an alien species of mayfly in South America (Ephemeroptera).

Authors:  Frederico F Salles; Jean-Luc Gattolliat; Kamila B Angeli; Márcia R De-Souza; Inês C Gonçalves; Jorge L Nessimian; Michel Sartori
Journal:  Zookeys       Date:  2014-04-08       Impact factor: 1.546

View more
  2 in total

1.  Water diversion in Brazil threatens biodiversity.

Authors:  Vanessa S Daga; Valter M Azevedo-Santos; Fernando M Pelicice; Philip M Fearnside; Gilmar Perbiche-Neves; Lucas R P Paschoal; Daniel C Cavallari; José Erickson; Ana M C Ruocco; Igor Oliveira; André A Padial; Jean R S Vitule
Journal:  Ambio       Date:  2019-04-27       Impact factor: 5.129

Review 2.  Freshwater ecosystems and aquatic insects: a paradox in biological invasions.

Authors:  Stefano Fenoglio; Núria Bonada; Simone Guareschi; Manuel J López-Rodríguez; Andrés Millán; J Manuel Tierno de Figueroa
Journal:  Biol Lett       Date:  2016-04       Impact factor: 3.703

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.