Literature DB >> 25148510

Low genetic diversity in Melanaphis sacchari aphid populations at the worldwide scale.

Samuel Nibouche1, Benjamin Fartek2, Stelly Mississipi1, Hélène Delatte1, Bernard Reynaud1, Laurent Costet1.   

Abstract

Numerous studies have examined the genetic diversity and genetic structure of invading species, with contrasting results concerning the relative roles of genetic diversity and phenotypic plasticity in the success of introduced populations. Increasing evidence shows that asexual lineages of aphids are able to occupy a wide geographical and ecological range of habitats despite low genetic diversity. The anholocyclic aphid Melanaphis sacchari is a pest of sugarcane and sorghum which originated in the old world, was introduced into the Americas, and is now distributed worldwide. Our purpose was to assess the genetic diversity and structuring of populations of this species according to host and locality. We used 10 microsatellite markers to genotype 1333 individuals (57 samples, 42 localities, 15 countries) collected mainly on sugarcane or sorghum. Five multilocus lineages (MLL) were defined, grouping multilocus genotypes (MLG) differing by only a few mutations or scoring errors. Analysis of a 658 bp sequence of mitochondrial COI gene on 96 individuals revealed five haplotypes, with a mean divergence of only 0.19 %. The distribution of MLL appeared to be strongly influenced by geography but not by host plant. Each of the five MLL grouped individuals from (A) Africa, (B) Australia, (C) South America, the Caribbean and the Indian Ocean including East Africa, (D) USA, and (E) China. The MLL A and C, with a wide geographic distribution, matched the definition of superclone. Among aphids, M. sacchari has one of the lowest known rates of genetic diversity for such a wide geographical distribution.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25148510      PMCID: PMC4141858          DOI: 10.1371/journal.pone.0106067

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Range expansion of exotic species can result from either evolutionary adaptation or generalism and plasticity often associated with a change in niche [1]. Genetic diversity is required for evolutionary adaptation, but a reduction in genetic diversity in invasive populations compared to populations in their native range is expected and often observed [2]–[5]. Organisms with clonal reproduction may exhibit reduced genetic diversity within populations, as better-adapted clonal genotypes expand and dominate available resources [6]. In aphids, the concept of “superclones” emerged [7] when a few asexual genotypes of the same species were able to colonize a wide geographical or ecological range of habitats [8]–[11]. The capacity of these populations to adapt to different conditions could be the result of a preadaptation capacity for phenotypic plasticity rather than local selection acting on genetic diversity [12], [13]. What is more, this capacity may be enhanced by their high rate of reproduction and population expansion [14]. For these reasons, clonal aphids are good models to assess the ability of asexual lineages to show rapid and widespread adaptive changes to ecological conditions [15]. The old world genus Melanaphis van der Groot 1917 comprises around 20 species mainly associated with Poaceae, most of which originate from East Asia [16]. The sugarcane aphid Melanaphis sacchari (Zehtner, 1897) (Homoptera, Aphididae), which is considered to be mainly anholocyclic, is present in America, Australia, Asia and Africa. M. sacchari is known to be invasive in continental US [17], [18] and in Central and South America [16]. The host range of this species is restricted to Poaceae [2], [19]. Blackman et al. [20] hypothesised that Melanaphis individuals originating from sorghum or sugarcane were distinct taxa, referred to as M. sorghi and M. sacchari respectively, even though their host plant preference was not absolute. In their catalogue, Remaudière and Remaudière [21] considered M. sorghi to be a synonym for M. sacchari, but both forms were still listed as separate taxa by Blackman and Eastop [22], and it is still not clear whether M. sacchari constitutes a single species or a complex of sibling taxa. In any case, M. sacchari is a major pest of sorghum and sugarcane. On sugarcane, it is considered to be the most common and most efficient vector of the Sugarcane yellow leaf virus (ScYLV), which causes yellow leaf disease [23], [24], a disease of worldwide economic importance [25]–[27]. The aphid is also a major pest of sorghum, causing direct damage (sap feeding) and indirect damage (sooty mould) [19]. Varietal resistance against M. sacchari is one of the main control tactics suggested both for sugarcane [28], [29] and sorghum [19], [30]. Most plant resistance to aphids is specific to a single aphid species or to a few biotypes within a species [31] and it has been demonstrated that variability exists among clonal lineages of aphids in their response to resistant cultivars [32], [33]. Therefore, characterisation of the genetic diversity of aphids is critical for breeding durable and efficient resistance, which has to account for the worldwide diversity of these pests and the potential emergence of new invasive biotypes. Based on a worldwide sample of aphids covering its area of distribution (home range as well as invasive range) and using microsatellite markers and sequencing of a fragment of the mitochondrial cytochrome c oxidase I gene (COI), the purpose of this study was to evaluate 1) the mode of reproduction of M. sacchari; 2) molecular evidence for the existence of sibling species; and 3) its genetic diversity and structuring according to host and locality.

Materials and Methods

Insect samples

Here, an ‘individual’ refers to one individual aphid and a ‘sample’ refers a several individuals collected from the same host plant species in a given locality and date. The complete set of individuals (Table S1) comprised 57 samples from 42 localities in a total of 15 countries or provinces, and from five host plants: sugarcane, pearl millet, and three wild or cultivated sorghum species (Sorghum bicolor, S. halepense, S. verticilliflorum). The three sorghum species were considered as a single host plant, hereafter named ‘sorghum’. Aphids were collected from wild or cultivated plants and placed in 70% ethanol in Eppendorf tubes, kept frozen at −80°C until they were processed. Only a few aphids were collected on each plant sampled to avoid collecting several individuals from the same colony. Sampling was carried out from 2002 to 2009 by our team in Reunion Island and by colleagues in the other parts of the world (see acknowledgements). Geographic coordinates of sampling localities are provided in Table S1. No specific permissions were required for sampling aphids in these locations. The field studies did not involve endangered or protected species.

DNA extraction, genotyping and sequencing

DNA extraction

DNA was extracted using the “salting-out” protocol of Sunnucks and Hales [34]. Briefly, it consists in extracting DNA from whole aphids by crushing them in a TNES/Proteinase K buffer and precipitating DNA in ethanol. This method is simple and fast, and provided sufficient DNA for phylogeny and microsatellite PCR analyses.

Genotyping

According to their polymorphism, ten microsatellite loci (Tab. 1) were selected among the 14 previously developed by our team for M. sacchari [35]. PCR reactions were performed with labelled primers and multiplexed into two mixes (Type-it, standard procedure, Qiagen), and the following thermocycling protocol was used: denaturation at 95°C for 15 min, 25 denaturation cycles for 30 s at 94°C, a 1-min 30 s annealing step at 54°C, and a 30-s elongation step at 72°C. We used an ABI prism 3110 for genotyping after addition of an internal size standard for each sample (GeneScan LIZ 500, Applied Biosystems). Alleles were identified at each locus by comparison with the size standard using GeneMapper version 2.5 software (Applied Biosystems).
Table 1

Observed microsatellite Multi Locus Genotypes (MLG): allele size (bp) at each locus, distribution by host plant and in each of the five Multi Locus Lineages (MLL) defined with GENCLONE. Within MLL allelic variations are in bold.

MLLMLGCIR-Ms-G08CIR-Ms-G403CIR-Ms-B03CIR-Ms-C08CIR-Ms-G01CIR-Ms-E01CIR-Ms-G12CIR-Ms-E03CIR-Ms-D02CIR-Ms-G02
MLL AMs5229/229253/253215/215189/203206/210 245/247214/216176/176220/228 250/316
Ms30229/229253/253215/215189/203 204/206245/247214/216176/176220/228 250/318
Ms31229/229253/253215/215189/203206/206 245/247214/216176/176228/230 254/314
Ms41229/229253/253215/215189/203206/206 245/247214/216176/176220/226 252/314
Ms42229/229253/253215/215189/203206/206 245/247214/216176/176220/226 254/314
Ms301229/229253/253215/215189/203206/206 245/247214/216176/176220/228 248/312
Ms302229/229253/253215/215189/203206/206 245/247214/216176/176220/228 248/314
Ms303229/229253/253215/215189/203206/206 245/247214/216176/176220/228 250/298
Ms304229/229253/253215/215189/203206/206 245/247214/216176/176220/228 250/310
Ms305229/229253/253215/215189/203206/206 245/247214/216176/176220/228 250/312
Ms306229/229253/253215/215189/203206/206 245/247214/216176/176220/228 250/314
Ms307229/229253/253215/215189/203206/206 245/247214/216176/176220/228 250/316
Ms308229/229253/253215/215189/203206/206 245/247214//216176/176220/228 250/318
Ms309229/229253//253215/215189//203206/206 245/247214/216176/176220/228 250/343
Ms310229/229253/253215/215189/203206/206 245/247214/216176/176220/228 250/345
Ms311229/229253/253215/215189/203206/206 245/247214/216176/176220/228 252/312
Ms312229/229253/253215/215189/203206/206 245/247214/216176/176220/228 252/314
Ms313229/229253/253215/215189/203206/206 245/247214/216176/176220/228 254/312
Ms314229/229253/253215/215189/203206/206 245/247214/216176/176220/228 254/314
Ms315229/229253/253215/215189/203206/206 245/247214/216176/176220/228 256/314
MLL BMs1233/233253/259213/215197/199185/206247/247212/216188/193 226/232 199/199
Ms2233/233253/259213/215197/199185/206247/247212/216188/193 226/252 199/199
Ms121233/233253/259213/215197/199185/206247/247212/216188/191 226/232 199/199
Ms122233/233253/259213/215197/199185/206247/247212/216188/191 226/232 199/201
MLL CMs6233/233251/259213/213197/199 185/210 247/247212/216186/193228/234 199/199
Ms7233/233251/259213/213197/199 185/210 247/247204/212186/193228/232 199/199
Ms8233/233251/259213/213197/199 185/212 247/247212/216186/193228/232 199/199
Ms11233/233251/259213/213197/199 185/210 247/247212/216186/193228/232 199/199
Ms12233/233251/259213/213 195/197185/210 247/247212/216186/193228/232 199/205
Ms15233/233251/259213/213197/199 185/210 247/247212/216186/193228/232 199/201
Ms16233/233251/259213/213 195/197185/210 247/247212/216186/193228/232 199/203
Ms21233/233251/259213/213 195/197185/210 247/247212/216186/193228/234 199/203
MLL DMs9233/233251/259213/213197/199185/206247/247212/216 186/188226/234201/201
Ms10233/233251/259213/213197/199185/206247/247212/218 186/188226/234201/201
MLL EMs32229/229253/253215/215197/197198/206245/245208/212 216/224220/222216/216
Ms33229/229253/253215/215197/197198/206245/245208/212 224/224220/222216/216

Sequencing

A total of 91 aphids were chosen among the worldwide sample to represent different combinations of region and host plant. COI fragments were amplified using the LCO1490 and HCO2198 primers designed by Folmer et al. [36]. PCR was carried out using the protocol of Kim and Lee [37]. PCR products were purified and sequenced by a subcontractor (Cogenics), and a consensus sequence of 658 pb was chosen for later analyses.

Data analysis

Clonal diversity analysis

Micro-Checker software [38] was run on the whole population. No evidence was found for the presence of null alleles. Any single combination of alleles was retrieved from genotyping data and arranged as unique multilocus genotypes (MLGs). Given the clonal reproduction of M. sacchari, we assumed that the different occurrences of the same MLG in a sample were the result of local clonal reproduction. We therefore retained a single representative of each MLG in each of the 57 samples for genetic and diversity analysis. Using GENCLONE software [39], we computed a matrix of pairwise genetic distance between MLGs computed as the number of allelic differences between MLGs [40]. Examination of the distribution of these distances enabled us to define a threshold below which MLGs were considered to belong to the same multilocus lineage (MLL), i.e. genotypes which differed slightly due to mutation or scoring errors according to Arnaud-Haond et al. [40]. The same matrix of pairwise distances was also used to construct a minimum spanning network using HAPSTAR software [41]. On the set of identical loci within each MLL, we computed psex, the probability that the repeated MLGs originated from distinct sexual reproductive events. A psex value lower than 0.01 supported the hypothesis that MLGs originated from the same MLL [40]. To describe clonal diversity, we computed the clonal richness index as R  =  (G-1)/(N-1), where G is the number of genotypes detected (either MLGs for RMLG or MLL for RMLL), and N is the number of samples [42].

Phylogenetic analysis

Sequence alignments of the COI gene were performed using Geneious software version 5.6.6 [43]. Five sequences from M. sacchari individuals collected in India [44] were retrieved from GenBank and added to our data. Four sequences from three species of the Melanaphis genus were also retrieved from GenBank and used as outgroups: M. donacis (referenced HQ443314), M. bambusae (referenced EU701747 and EU701746) and M. japonica (referenced GU457792). Maximum Likelihood inference performed with MEGA6 [45] was used to choose the most reliable evolutionary model of base substitution to infer the evolutionary history. Based on the AICc criterion, the best model proved to be the General Time Reversible model with gamma distribution of evolutionary rates among sites (GTR+G) [46]. The GTR+G model was then used with MEGA6 to reconstruct the subsequent phylogenetic tree through the Maximum Likelihood method, with 10,000 bootstrap replicates for branch support.

Population genetic analysis

We used GENEPOP [47] to compute population genetics parameters for each of the MLLs delimited by GENCLONE. We tested departures from Hardy–Weinberg equilibrium and heterozygote deficit and excess, and calculated population fixation index values (Fis). Genetic differentiation between MLLs was tested with a G test and pairwise FST were computed.

Results

Genetic and clonal diversity

We genotyped a total of 1333 aphids using the ten microsatellite markers. When we retained a single representative of each MLG in each of the 57 samples, this yielded a dataset containing 98 individuals. Global genetic diversity was low, with 36 MLGs found (Table 1). Global clonal richness was also low, with a RMLG  = 0.361. The distribution of the pairwise number of different alleles between MLG appeared multimodal, with a first minimum located at a distance of five alleles (Figure S1). Grouping MLGs which differed by one to four alleles defined five groups. Calculation of psex on the set of identical loci within each of these five groups yielded values <0.01, confirming that the MLGs within each group were unlikely to have derived from distinct reproductive events. We therefore considered that the five groups defined five multilocus lineages (MLLs) which grouped slightly distinct MLGs resulting from step mutations or scoring errors (Table 1, Figure 1). Considering the five MLLs, clonal richness was very low, as shown by the RMLL  = 0.041.
Figure 1

Minimum spanning network of Melanaphis sacchari microsatellite distances computed as the number of allele differences between MLGs. Each node represents one step in the network, i.e. a distance of one allele.

The numbers in the circles represent MLGs according to Table 1. Coloured backgrounds represent the Multi Locus Lineages (MLLs). MLGs in the same dashed line box share the same COI haplotype.

Minimum spanning network of Melanaphis sacchari microsatellite distances computed as the number of allele differences between MLGs. Each node represents one step in the network, i.e. a distance of one allele.

The numbers in the circles represent MLGs according to Table 1. Coloured backgrounds represent the Multi Locus Lineages (MLLs). MLGs in the same dashed line box share the same COI haplotype.

Phylogenetic relationship within samples

Within our 91 M. sacchari COI sequences, only three distinct haplotypes were observed (Figure 2). One haplotype was observed in individuals belonging to MLL-A, MLL-B or MLL-E (Figure 1, Figure 2). The second haplotype was only observed in individuals belonging to MLL-C. The third haplotype was observed in individuals belonging to MLL-D. No association of haplotypes with the host plant was observed (Figure 2). These three haplotypes differed from the two available in GenBank from five Indian samples, giving a total of five haplotypes and five nucleotide substitutions among 96 M. sacchari individuals. The phylogenetic tree built from a 658 bp fragment of the COI gene clearly separated the four Melanaphis species with >80% bootstrap support (Figure S2). But within the M. sacchari sequences, the presence of distinct taxa was not supported by bootstrap analysis at the 80% threshold. Intraspecific genetic divergence in M. sacchari was low, with a mean pairwise divergence of 0.19% (range 0.000.61%). When the five M. sacchari sequences retrieved from GenBank were excluded, the mean divergence was 0.17% (range 0.000.30%). The mean divergence of M. sacchari sequences with the closest taxa, M. japonica, was 1.06% (range 0.92%1.39%).
Figure 2

COI haplotype network (top), in which Melanaphis sacchari COI sequences originating from the present study are numbered from 1 to 3.

M. sacchari GenBank COI sequences from India [44] are numbered 4 (JX051388, JX05189, JX051390) and 5 (HQ112185, JX051402). Mj  =  Melanaphis japonica COI sequence from GenBank (GU457792). Distribution as a function of host plant (middle): sorghum (blue) vs. sugarcane (red). Distribution as a function of MLL (bottom): A (green), B (blue), C (yellow), D (violin), E (red).

COI haplotype network (top), in which Melanaphis sacchari COI sequences originating from the present study are numbered from 1 to 3.

M. sacchari GenBank COI sequences from India [44] are numbered 4 (JX051388, JX05189, JX051390) and 5 (HQ112185, JX051402). Mj  =  Melanaphis japonica COI sequence from GenBank (GU457792). Distribution as a function of host plant (middle): sorghum (blue) vs. sugarcane (red). Distribution as a function of MLL (bottom): A (green), B (blue), C (yellow), D (violin), E (red).

Standard population genetics

Plotting the results of the factorial correspondence analysis with GENETIX confirmed the grouping of the 36 MLGs in five MLLs (Figure 3). Factor 1 distinguished MLL-A and MLL-E, and a group formed by the three MLL-B, MLL-C and MLL-D. Factor 2 distinguished MLL-E from other MLLs. Factor 3 distinguished between MLL-B, MLL-C and MLL-D.
Figure 3

Factorial correspondence analysis of microsatellite data with GENETIX.

Each symbol represents one of the 36 MLGs. Colours and letters refer to Multilocus Lineage (MLL) assignment with GENCLONE.

Factorial correspondence analysis of microsatellite data with GENETIX.

Each symbol represents one of the 36 MLGs. Colours and letters refer to Multilocus Lineage (MLL) assignment with GENCLONE. Genetic differentiation between the five MLLs was strong, with a highly significant Fst ranging from 0.262 to 0.694 (Table S2). The five populations comprised by each distinct MLL differed significantly from Hardy-Weinberg equilibrium, and showed a clear signature of asexual reproduction with a significant heterozygote excess and negative FIS values (Table S3).

Geographical and host distribution of MLLs

Distribution of the MLLs revealed strong geographical structuring (Figure 4). MLL-A was observed in Africa, MLL-B was restricted to Australia, MLL-C exhibited the widest distribution area (South America, the Caribbean, the Indian Ocean and East Africa), MLL-D was observed in the USA, and MLL-E was only observed in China. Kenya was the only country where two MLLs were observed simultaneously: one sample (Ken1) contained a mix of MLL-A and MLL-B, one sample (Ken5) contained MLL-A alone, and three samples (Ken2, Ken3, Ken4) contained MLL-B alone.
Figure 4

Relative geographical within-state distribution of Multilocus lineages (MLL).

The size of circle is not proportional to the size of the sample. Aus  =  Australia, Bra  =  Brazil, Col  =  Columbia, Ecu  =  Ecuador, Gua  =  Guadeloupe, Haw  =  Hawaii, Lou  =  Louisiana, Mar  =  Martinique, Mau  =  Mauritius, Run  =  Reunion Island, Ben  =  Benin, Cam  =  Cameroon, Nig  =  Niger, Chi  =  China, Ken  =  Kenya.

Relative geographical within-state distribution of Multilocus lineages (MLL).

The size of circle is not proportional to the size of the sample. Aus  =  Australia, Bra  =  Brazil, Col  =  Columbia, Ecu  =  Ecuador, Gua  =  Guadeloupe, Haw  =  Hawaii, Lou  =  Louisiana, Mar  =  Martinique, Mau  =  Mauritius, Run  =  Reunion Island, Ben  =  Benin, Cam  =  Cameroon, Nig  =  Niger, Chi  =  China, Ken  =  Kenya. No host plant structuring was observed: in all the countries where both sorghum and sugarcane samples were collected, each MLL was found on both host plants (Table 2).
Table 2

Distribution of the 98 individuals, a single representative of each MLG in each of the 57 samples, as a function of country/province and host plant.

StateHost plantNumber of individualsNumber of samples
MLL-AMLL-BMLL-CMLL-DMLL-E
Beninsorghum32
sugarcane61
pearl millet11
Cameroonsorghum205
Kenyasorghum21
sugarcane244
Nigersorghum52
Australiasugarcane117
Brazilsugarcane21
Columbiasugarcane73
Ecuadorsugarcane11
Guadeloupesugarcane65
Martiniquesugarcane33
Mauritiussugarcane11
Reunionsorghum33
sugarcane75
Hawaiisugarcane33
Louisianasorghum11
sugarcane87
Chinasorghum21

Discussion

Molecular analysis revealed a very low genetic diversity among 57 samples collected in 15 countries on two main hosts, with 36 MLGs structured in five MLLs. The distribution of MLLs was strongly structured by geography but not by the host plant (sorghum vs. sugarcane). Sequencing the COI ‘barcoding’ region, a typical locus used for species discrimination and phylogeny, particularly in aphids [48], [49], did not enable the detection of cryptic species in our samples. Specifically, we observed no molecular evidence for a clear separation into two species, M. sacchari and M. sorghi. We found sequence variations peaking at 0.61%, with a mean value of 0.19%, both of which are within the range of intraspecific divergence observed in the Aphididae family by Footit et al. [50] or Lee et al. [51].

Reproduction

Population genetic parameters were consistent with populations which only reproduce by apomictic parthenogenesis, as previously described by Blackman and Eastop [22]. Each population significantly differed from Hardy-Weinberg equilibrium, with a high heterozygote excess. These features are a common consequence of populations which have reproduced clonally for a long time. In a global study of genetic diversity on Aphis gossypii, Carletto et al. [52] obtained similar results to ours as they observed low genetic diversity, with the predominance of a few clones at the worldwide scale reproducing only by apomictic parthenogenesis. But later, evidence for sexual reproduction of A. gossypii was found in Iran [53]. High genetic diversity and evidence for sexual reproduction was also observed in A. gossypii alate spring migrants in France [54]. Similarly, in the Brachycaudus helichrysi (Kaltenbach) sibling species H2, a sexually reproducing population was identified in India, despite almost exclusively clonal reproduction at the worldwide scale [11]. This shows that sexual admixture can still exist in a local population even in species which are highly clonal at the worldwide scale. A holocycle has been observed in M. sacchari in Asia [16] and this suggests that higher genetic diversity may exist in some parts of its geographic distribution area even if our sampling did not allow us to observe it.

Geographic genetic structure

Microsatellite analyses showed that population structuring at the worldwide scale was only influenced by geography, delimiting five MLLs corresponding to five geographic zones: Africa, China, Australia, USA, and South America – Indian Ocean (including Kenya) and the Caribbean. Variation within each of the four biggest zones (excluding China where only one sample was analysed) was low, with MLGs within a zone differing by a few step mutations, which we suggest is due to one or few separate introductions. These results suggest that each of the five zones was colonized separately following the introduction of one or a few clones from the region of origin of M. sacchari, which the present study did not allow us to identify. At least two of the five MLLs covered a very wide geographic area and matched the pattern of a single asexual genotype with a high capacity for dispersal which would have spread across a large area: MLL-A was observed in West and East Africa, and MLL-C was observed in South America, the Indian Ocean, East Africa, and the Caribbean. Both MLLs match the definition of “superclone” [7], characterised by geographically and ecologically widespread distribution, which has already been documented in several aphid species [9], [10], [11], [55], [56]. The low rate of genetic diversity observed in the whole geographic area covered by our study, and the lack of published data about the dates of introduction of M. sacchari in the countries sampled, meant we were not able to reconstruct the invasion routes of this species. The only exception was continental USA. M. sacchari was first described in Hawaii in the late 19th century [57], [58], and was first recorded in continental USA at the end of the 1970s in Florida [59], [60] and in 2001 in Louisiana [18]. In our study, almost all individuals sampled in Louisiana and Hawaii belonged to the same MLG, Ms9, and shared the same COI haplotype, neither of which were observed in other regions. This strongly suggests that M. sacchari was introduced in continental USA from Hawaii. This finding is noteable, as one would expect an introduction into continental USA from either South America or the Caribbean, a shorter invasion route. However, Mondor et al. [61] emphasized that the relationship between the colonization of the Hawaiian Islands by an aphid species and its presence in continental USA was due to the high rate of commercial exchanges between the two. Here we provide an example of reverse colonization from Hawaii to continental USA. In Kenya, MLL-C was observed in three samples from the coastal region of Kenya but was not found in a sample collected inland. This underlines the fact that, even though M. sacchari has been recorded in almost all areas where sugarcane is cultivated, the possibility for the expansion of some genotypes should be taken seriously, mainly its unknown potential impact on the epidemiology of the viral diseases it transmits. Distribution of the pairwise number of different alleles between MLGs. (PDF) Click here for additional data file. Molecular Phylogenetic analysis by Maximum Likelihood method with bootstrap support (10,000 replicates) using 658 bp cytochrome c oxidase subunit I sequences from 100 spp. individuals. (PDF) Click here for additional data file. Voucher number, sampling information, GenBank accession and SSR genotyping of individual aphids. (XLSX) Click here for additional data file. Genetic differentiation between MLLs: pairwise F (PDF) Click here for additional data file. Population genetics parameters for each MLL. (PDF) Click here for additional data file.
  26 in total

1.  Phylogeny of the genus Aphis Linnaeus, 1758 (Homoptera: Aphididae) inferred from mitochondrial DNA sequences.

Authors:  A Coeur d'acier; E Jousselin; J-F Martin; J-Y Rasplus
Journal:  Mol Phylogenet Evol       Date:  2006-10-17       Impact factor: 4.286

2.  A general eco-evolutionary framework for understanding bioinvasions.

Authors:  Benoit Facon; Benjamin J Genton; Jacqui Shykoff; Philippe Jarne; Arnaud Estoup; Patrice David
Journal:  Trends Ecol Evol       Date:  2005-11-08       Impact factor: 17.712

Review 3.  Standardizing methods to address clonality in population studies.

Authors:  S Arnaud-Haond; C M Duarte; F Alberto; E A Serrão
Journal:  Mol Ecol       Date:  2007-10-17       Impact factor: 6.185

4.  Numerous transposed sequences of mitochondrial cytochrome oxidase I-II in aphids of the genus Sitobion (Hemiptera: Aphididae).

Authors:  P Sunnucks; D F Hales
Journal:  Mol Biol Evol       Date:  1996-03       Impact factor: 16.240

5.  Comparison of genetic diversity of the invasive weed Rubus alceifolius poir. (Rosaceae) in its native range and in areas of introduction, using amplified fragment length polymorphism (AFLP) markers.

Authors:  L Amsellem; J L Noyer; T Le Bourgeois; M Hossaert-McKey
Journal:  Mol Ecol       Date:  2000-04       Impact factor: 6.185

6.  Ecological specialization of the aphid Aphis gossypii Glover on cultivated host plants.

Authors:  J Carletto; E Lombaert; P Chavigny; T Brévault; L Lapchin; F Vanlerberghe-Masutti
Journal:  Mol Ecol       Date:  2009-05       Impact factor: 6.185

7.  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

8.  Regular or covert sex defines two lineages and worldwide superclones within the leaf-curl plum aphid (Brachycaudus helichrysi, Kaltenbach).

Authors:  J Piffaretti; A-L Clamens; F Vanlerberghe-Masutti; R K Gupta; E Call; S Halbert; E Jousselin
Journal:  Mol Ecol       Date:  2013-06-20       Impact factor: 6.185

9.  Evidence for an invasive aphid "superclone": extremely low genetic diversity in Oleander aphid (Aphis nerii) populations in the southern United States.

Authors:  John Scott Harrison; Edward B Mondor
Journal:  PLoS One       Date:  2011-03-09       Impact factor: 3.240

10.  What do spring migrants reveal about sex and host selection in the melon aphid?

Authors:  Sophie Thomas; Nathalie Boissot; Flavie Vanlerberghe-Masutti
Journal:  BMC Evol Biol       Date:  2012-04-03       Impact factor: 3.260

View more
  7 in total

1.  Melanaphis&amp;nbsp;sorghi (Hemiptera: Aphididae) Clonal Diversity in the United States and Brazil.

Authors:  Karen Harris-Shultz; John Scott Armstrong; Geraldo Carvalho; Jurandir Pereira Segundo; Xinzhi Ni
Journal:  Insects       Date:  2022-04-28       Impact factor: 3.139

Review 2.  Plant immunity in plant-aphid interactions.

Authors:  Maëlle Jaouannet; Patricia A Rodriguez; Peter Thorpe; Camille J G Lenoir; Ruari MacLeod; Carmen Escudero-Martinez; Jorunn I B Bos
Journal:  Front Plant Sci       Date:  2014-12-01       Impact factor: 5.753

3.  Morphometric and molecular discrimination of the sugarcane aphid, Melanaphis sacchari, (Zehntner, 1897) and the sorghum aphid Melanaphis sorghi (Theobald, 1904).

Authors:  Samuel Nibouche; Laurent Costet; Raul F Medina; Jocelyn R Holt; Joëlle Sadeyen; Anne-Sophie Zoogones; Paul Brown; Roger L Blackman
Journal:  PLoS One       Date:  2021-03-25       Impact factor: 3.240

4.  Evaluating Sugarcane Aphid, Melanaphis sacchari (Hemiptera: Aphididae), Population Dynamics, Feeding Injury, and Grain Yield Among Commercial Sorghum Varieties in Alabama.

Authors:  Adrian J Pekarcik; Alana L Jacobson
Journal:  J Econ Entomol       Date:  2021-04-13       Impact factor: 2.381

5.  Host Plant Specialization in the Sugarcane Aphid Melanaphis sacchari.

Authors:  Samuel Nibouche; Stelly Mississipi; Benjamin Fartek; Hélène Delatte; Bernard Reynaud; Laurent Costet
Journal:  PLoS One       Date:  2015-11-24       Impact factor: 3.240

6.  Invasion of sorghum in the Americas by a new sugarcane aphid (Melanaphis sacchari) superclone.

Authors:  Samuel Nibouche; Laurent Costet; Jocelyn R Holt; Alana Jacobson; Adrian Pekarcik; Joëlle Sadeyen; J Scott Armstrong; Gary C Peterson; Neal McLaren; Raul F Medina
Journal:  PLoS One       Date:  2018-04-25       Impact factor: 3.240

7.  Effects of sugarcane aphid herbivory on transcriptional responses of resistant and susceptible sorghum.

Authors:  Mahnaz Kiani; Adrianna Szczepaniec
Journal:  BMC Genomics       Date:  2018-10-26       Impact factor: 3.969

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.