Research article | Open | Published:
Genome reduction and potential metabolic complementation of the dual endosymbionts in the whitefly Bemisia tabaci
BMC Genomicsvolume 16, Article number: 226 (2015)
The whitefly Bemisia tabaci is an important agricultural pest with global distribution. This phloem-sap feeder harbors a primary symbiont, “Candidatus Portiera aleyrodidarum”, which compensates for the deficient nutritional composition of its food sources, and a variety of secondary symbionts. Interestingly, all of these secondary symbionts are found in co-localization with the primary symbiont within the same bacteriocytes, which should favor the evolution of strong interactions between symbionts.
In this paper, we analyzed the genome sequences of the primary symbiont Portiera and of the secondary symbiont Hamiltonella in the B. tabaci Mediterranean (MED) species in order to gain insight into the metabolic role of each symbiont in the biology of their host. The genome sequences of the uncultured symbionts Portiera and Hamiltonella were obtained from one single bacteriocyte of MED B. tabaci. As already reported, the genome of Portiera is highly reduced (357 kb), but has kept a number of genes encoding most essential amino-acids and carotenoids. On the other hand, Portiera lacks almost all the genes involved in the synthesis of vitamins and cofactors. Moreover, some pathways are incomplete, notably those involved in the synthesis of some essential amino-acids. Interestingly, the genome of Hamiltonella revealed that this secondary symbiont can not only provide vitamins and cofactors, but also complete the missing steps of some of the pathways of Portiera. In addition, some critical amino-acid biosynthetic genes are missing in the two symbiotic genomes, but analysis of whitefly transcriptome suggests that the missing steps may be performed by the whitefly itself or its microbiota.
These data suggest that Portiera and Hamiltonella are not only complementary but could also be mutually dependent to provide a full complement of nutrients to their host. Altogether, these results illustrate how functional redundancies can lead to gene losses in the genomes of the different symbiotic partners, reinforcing their inter-dependency.
Interactions between endosymbionts and insects are widespread in nature [1,2], and are particularly important in members of the suborder Sternorrhyncha such as whiteflies, aphids, psyllids and mealybugs. The ability of these insects to use an unbalanced food source such as plant sap is allowed by the interaction with primary bacterial endosymbionts that complement the diet by providing their host with essential amino acids . These primary endosymbionts are confined in specialized host cells, the bacteriocytes, and are strictly vertically transmitted , leading to a parallel evolution with their insect hosts for millions of years [5-7]. One evolutionary consequence of this lifestyle is an extreme genome reduction and degradation compared to free living relatives. This convergent evolution has been observed in primary symbionts of many insects, particularly in members of the suborder Sternorrhyncha, such as Buchnera aphidicola in aphids (from 422 to 655 kb) [8,9], Carsonella ruddii in psyllids (158-166 kb) , Portiera aleyrodidarum in whiteflies (281-358 kb) [11-13], as well as Moranella endobia (538 kb) and Tremblaya princeps (139-171 kb) in mealybugs [6,14,15].
Besides these primary symbionts, insects often harbor secondary symbionts that are not required for their host’s survival or reproduction. Nonetheless, they can have broad and important effects on the host biology and ecology, ranging from mutualism to reproductive manipulation, which allow them to spread and be maintained in host populations . These secondary symbionts are both vertically and horizontally transmitted [17,18] and inhabit a variety of tissues, including bacteriocytes. As they are intracellular, secondary symbionts also show a pattern of genome reduction but to a lesser extent than primary symbionts. Part of their genome is devoted to the biosynthesis of vitamins and cofactors. For example, Hamiltonella defensa in aphids is able to supply all the essential vitamins except for thiamine (B1) and pantothenate (B5) .
Interestingly, recent advances have shown that these secondary or co-resident symbionts can complement the metabolic network of the primary symbionts. For example, the pair of endosymbionts Carsonella eucalypti (primary symbiont) and Heteropsylla cubana (secondary symbiont) in psyllids exhibits strict complementarity in the biosynthesis of tryptophan , as is also the case in the aphid Cinara cedri where Serratia complements lineage specific gene losses of the primary endosymbiont Buchnera . Similarly, the primary endosymbiont Sulcia muelleri supplies most of the essential amino acids to its hosts while the remaining ones are provided by different co-resident symbionts: Baumannia cicadellinicola in sharpshooters, Hodgkinia cicadicola in cicadas, Zinderia insecticola in spittlebugs and Nasuia deltocephalinicola in leafhoppers [21-24]. Furthermore, “Candidatus Moranella endobia” and “Candidatus Tremblaya princeps” contribute to intermediate steps of the pathways for the synthesis of amino acids . These insects must thus be seen as holobionts where the full community of organisms inhabiting a host must be taken into account to understand its phenotype, including its metabolic capabilities . Interestingly, comparative genomics has revealed that these losses are generally specific to some lineages of primary endosymbionts, suggesting that the ancestor was performing the lost function. The most probable evolutionary scenario is as follows. Co-infection between the primary and the secondary symbiont preceded the function loss, generating a redundancy of some metabolic functions. As selection acts at the level of the holobiont, any loss of a metabolic function in only one symbiotic partner is neutral [26,27]. Such losses in essential functions might thus lead to the observed pattern of complementation and to the inter-dependency between the symbiotic partners.
One interesting case for investigating metabolic complementation within symbiotic communities is the whitefly Bemisia tabaci Gennadius (Homoptera: Aleyrodidae). This whitefly is a complex of at least 35 cryptic species that differ in many ecological respects, including their potential for causing damage. Some of them are serious destructive pests of agricultural, horticultural and ornamental crops with worldwide distribution [28-30]. This phloem-feeding insect harbors the primary bacterial symbiont “Candidatus Portiera aleyrodidarum” (Oceanospirillales, referred as “Portiera” in this study) that is located within bacteriocytes , as well as a variety of secondary symbionts . Portiera is an ancient symbiont of whiteflies, acquired 100-200 million years ago . The recent sequencing of two genomes of Portiera for the Mediterranean (MED, formerly referred to as the ‘Q’ biotype) species and two for the Middle East Asia Minor 1 (MEAM1, formerly referred to as the ‘B’ biotype) species of B. tabaci indicate that this symbiont not only synthesizes essential amino acids but could also protect its host against oxidative stress by supplying carotenoids [11,13]. Another remarkable feature of these genomes is their extreme reduction with a size ranging from 281 to 358 kb, which is intermediate between those observed for classical primary symbionts and the most reduced ones. Such reduction opens widely the possibility that secondary symbionts complement some metabolic functions of Portiera. In whiteflies, secondary symbionts have been reported to affect the life parameters of their host including virus transmission , resistance to natural enemies like parasitic wasps , heat stress  and insecticides . Until now, at least seven secondary symbionts of whitefly have been reported in B. tabaci, including Hamiltonella (Enterobacteriaceae), Arsenophonus (Enterobacteriaceae), Wolbachia (Rickettsiales), Rickettisia (Rickettsiales), Cardinium (Bacteroidetes), Fritschea (Chlamydiales) and Hemipteriphilus (Rickettsiales) [36,37]. They have different patterns of localization but all of them share bacteriocytes with Portiera. These frequent infections with secondary symbionts in addition to Portiera make B. tabaci an interesting model to investigate metabolic complementation within symbiotic communities. Moreover, two of them, Hamiltonella and Arsenophonus, reach almost fixation when present in the insect populations, but they have never yet been found together within the same host individual . In addition, Hamiltonella was recently found to provide fitness advantage under nutritional stress conditions, making it a good candidate for analyzing complementation in B. tabaci .
Among the B. tabaci species complex, the MEAM1 and the MED species are the most widespread and economically important. Over the last twenty years, they have spread rapidly to more than eighty countries over six continents, highlighting their ability to adapt to various environments, and caused serious economic damages worldwide [30,39]. While MEAM1 is notorious for its survivability under extreme conditions, MED is highly resistant to some classes of pesticides, especially neonicotinoids . Interestingly, Hamiltonella has so far only been detected in these two species of B. tabaci.
The aim of the present study was to acquire, analyze and study the genome sequences of Hamiltonella and Portiera. Most often B. tabaci individuals harbor more than one secondary symbiont species, which can lead to complex interactions . Here, we used a natural line belonging to the MED species that only harbors Hamiltonella in addition to Portiera. The data obtained provide insights into the dynamics and evolution of symbiont genomes in intracellular ecosystems, and the mechanisms involved in the interactions among the symbiotic partners, especially in terms of metabolic complementation. They confirm that complementation in whiteflies is an on-going process, and that the co-evolution of different symbiotic partners can lead to inter-dependency.
Results and discussion
Isolation of endosymbionts and DNA amplification
PCRs performed using specific primers of Portiera, Hamiltonella, Cardinium, Wolbachia, Rickettsia, Arsenophonus and Hemipteriphilus confirmed that the MED line used in this study only harbors Portiera and Hamiltonella (data not shown). In addition, fluorescence in situ hybridization (FISH) revealed that Hamiltonella shares bacteriocytes with Porteria in this line, and disperses in the cytoplasm of bacteriocytes (Figure 1), as already observed . This contrasts with the situation observed in the aphid Acyrthosiphon pisum where Hamiltonella, is localized within sheath cells and do not share the same bacteriocytes with Buchnera [42,43]. This suggests that the two endosymbionts in MED whiteflies have a more intimate relationship. The endosymbionts were isolated by micromanipulation from a single bacteriocyte cell. Bacterial DNA was amplified by multiple displacement amplification. Diagnostic PCRs were then performed using specific primers to test for the presence of the endosymbiont DNA and the absence of host nuclear DNA contamination (Additional file 1: Figure S1).
Sequencing and general features of the Portiera and Hamitonella genomes
Amplified symbiotic DNA was sequenced using the Illumina HiSeq 2000 sequencer and the genomes of both Portiera and Hamiltonella were independently assembled. The main features for these assemblies are summarized in Table 1. The genome of Portiera was assembled into a single contig. It has the classical characteristics of primary endosymbionts: a biased A + T content of 73.9% with a reduced genome (357,461 base pairs), but which does not reach the smaller sizes reported to date, such as for the genomes of Nasuia deltocephalinic ola (112 kb), Tremblaya princeps (139 kb), Hodgkinia cicadicola (144 kb), Carsonella ruddii (160 kb), Zinderia insecticola (209 kb) and Sulcia muelleri (246 kb), Uzinura diaspidicola (263 kb) (Table 2) [14,16,21,23,44-46]. Despite its reduced size, this genome has a relatively low percentage of coding DNA (67.4%), which is much less than the coding density of Buchnera in aphids (83%). Large intergenic regions have been shown to represent an important substrate for genome rearrangements in Portiera . A total of 272 genes were predicted in the Portiera genome, and 84.5% of them (230 genes) have homologs present in GenBank. The genome encodes three rRNA genes (16S, 23S and 5S), two non-coding RNAs (rnpB, tmRNA) and 33 tRNA genes including at least one for each of the 20 amino acids (Table 3), as observed in the two other assembled Portiera genomes of the MED whitefly species and the two genomes of Portiera in the MEAM1 whitefly species [11,13,47]. The gene content is the same in all deposited genomes, the differences being only due to variations in the annotations and pseudogene detection parameters.
The draft genome of Hamiltonella in this MED line has an approximate size of 1,800,792 bp with an average G + C content of 40.49% and comprises 92 large scaffolds (Table 1) with a N50 size of approximately 102.66 kb. As only one bacteriocyte was used for bacterial DNA extraction and amplification, the incompleteness of the Hamiltonella genome is probably due to the bias during PCR. The genome encodes a total of 1,884 putative CDSs for which 88.75% (1,672 CDSs) can be assigned to a putative biological function. A total of 40 tRNA genes including at least one for all of the 20 amino acids and five small RNAs were predicted (Table 3). The average coding gene identity with H. defensa Hd-Ap is very high (approximately 96.4% average nucleotide similarity). Globally, the general features of this genome are very similar to those of other genomes of secondary symbionts.
Functional annotation of the genomes of Portiera and Hamiltonella and metabolic reconstruction
Protein-coding genes of Portiera and Hamiltonella were classified into Clusters of Orthologous Groups (COGs) . A total of 209 Portiera genes and 1,119 Hamiltonella genes were assigned to COGs (Additional file 2: Figure S2). The three most prominently represented COG categories in the Portiera genome are “Translation, ribosomal structure and biogenesis”, “Amino acid transport and metabolism”, and “Energy production and conversion” (COGs J, E, and C, respectively). These COG categories are essential for cellular metabolism of primary endosymbionts. Conversely, genes related to “RNA processing and modification”, “Chromatin structure and dynamics”, “Cell motility and Signal transduction mechanisms” (COGs A, B, N, and T, respectively) are absent from Portiera. In Hamiltonella, several COG categories are prominently represented, namely “Translation ribosomal structure and biogenesis”, “Replication, recombination and repair”, and “Cell wall/membrane/envelope biogenesis” (COGs J, L, and M, respectively) (Additional file 2: Figure S2).
The metabolic networks of the two symbionts were reconstructed and used to identify the sources needed by each symbiont (Tables 4 and 5). Portiera needs 11 different sources to produce less than 180 metabolites, while Hamiltonella needs 15 sources for less than 600 metabolites (Pearson test, p-value < 0.05), which conforms with the expectation of a more reduced and more host-dependent metabolism in this primary endosymbiont than in Hamiltonella. While most of these sources might be provided by the host, the metabolism of Hamiltonella needs some sources which would be only synthesized by Portiera. AroA is a 3-phosphoshikimate-1-carboxyvinyltransferase involved in the sixth step of the chorismate pathway, leading to the production of 5-enolpyruvyl-shikimate-3-phosphate. A mutation in the aroA gene, determined by the in silico analysis, and later confirmed by Sanger sequencing on independent samples (Additional file 3: Figure S3) suggests that 5-enolpyruvyl-shikimate-3-phosphate is a source for the Hamiltonella metabolism. Portiera can produce this source and probably export it to the secondary endosymbiont. Nevertheless, Tamas et al.  reported that a point mutation in a polyA tract can be rescued by transcriptional slippage and result in some functional protein. As the mutation of whitefly aroA gene is also present in the polyA tract (Additional file 3: Figure S3) and aroA is intact in the Hamiltonella from A. pisum , whether the whitefly aroA gene is functional or not warrants further investigation.
Among sources provided by the host, hydrogen sulfide is of particular interest. Indeed, while the two symbionts of the MED whitefly lack the whole gene sets for sulfur metabolism (Figure 2), cysN/cysC [bifunctional enzyme EC: 188.8.131.52, 184.108.40.206], cysQ [EC: 220.127.116.11] and cysJ [EC: 18.104.22.168] of this pathway have been identified in the whitefly transcriptome . It suggests that the host whitefly or its gut microbiota might help the symbionts for sulfate reduction. Notably, the sulfate reduction pathway can transform sulfate into hydrogen sulfide, a precursor for the cysteine synthesis pathway present in Hamiltonella (Table 5).
Essential amino acid synthesis depends on within-pathway complementation between symbionts
A major metabolic contribution of symbionts in phloemophagous insects concerns the synthesis of essential amino acids. As highlighted by the COG analysis, some metabolic functions related to the biosynthesis of amino-acids have been retained in the highly reduced genome of Portiera, which contains 56 genes dedicated to this function (Additional file 4: Figure S4, Additional file 5: Table S1). Portiera is therefore able to synthesize or to participate in the synthesis of several amino acids, and especially essential ones, like other primary endosymbionts (Additional file 4: Figure S4). These results further demonstrate the evolutionary convergence between symbionts from distinct phylogenetic lineages hosted by hosts with similar diets [1,51].
However, Portiera has only two complete pathways for the synthesis of essential amino-acids (threonine and tryptophan) [11,13]. Interestingly, some of the missing genes in these pathways are present in the Hamiltonella genome (Figure 2). For example, aspC, a gene encoding an enzyme required for the phenylalanine synthesis, is missing in the genome of Portiera but is encoded by Hamiltonella. Furthermore, the genome of Portiera lacks three enzymes involved in the biosynthesis of lysine, namely dapF, lysA, which are absent, and dapB which is pseudogenized, while Hamiltonella possesses all of these genes but lacks the argD gene in the same pathway (Figure 2). As for chorismate in Hamiltonella, the production of lysine has only been recently lost in Portiera, since the entire pathway is present and intact in the Portiera of Trialeurodes vaporariorum, another member of Aleyrodidae . This is consistent with the hypothesis that acquisition of secondary endosymbionts generates metabolic redundancies with the primary endosymbiont, leading to specific gene losses in both genomes [10,20]. These losses, if they affect essential functions ancestrally performed by the primary endosymbiont, can rapidly make secondary endosymbionts indispensable for the holobiont [10,20]. Nevertheless, the functions of aspC in Portiera and argD in Hamiltonella could also be performed by other aminotransferases encoded by their respective genomes, an unknown enzyme, or by an already known enzyme which would have changed or extended its prior function, as has already been proposed for other symbiotic genes [10,52]. Interestingly, the lysine (in Carsonella, Sulcia and some Buchnera) and phenylalanine (in Carsonella, Buchnera, Tremblaya and Ishikawella) pathways are often incomplete in the genomes of primary endosymbionts, and have been proposed to be in some cases complemented by the host or co-symbiont (reviewed in Hansen et al. ).
The host itself could also provide enzymes for completing some pathways, as has been recently shown in aphids where the host metabolism has been redirected to complement some missing reactions for amino acid synthesis in Buchnera , similar to what has been hypothesized to occur in the mealybugs and psyllids [6,7]. For example, it has been hypothesized that phloem-feeder hosts encode a homolog of the aspC gene allowing the production of phenylalanine . The same situation might apply to B. tabaci MED for the synthesis of valine, leucine and isoleucine, for which ilvE, the gene encoding the common last enzyme of these pathways is absent from the genomes of both Portiera and Hamiltonella and has been found in the transcriptome of the MED whitefly .
The case of the histidine synthesis pathway is different because the genes which are not present in the genome of Portiera (hisB [EC 22.214.171.124] and hisD; [11,13]) are neither present in the Hamiltonella’s genome (Figure 2), nor have been detected in the whitefly’s transcriptome . This suggests that histidine may be provided by the food. This hypothesis is relevant since previous studies indicated that this essential amino acid is present in high concentration in the phloem sap . Finally, some genes involved in the synthesis of non-essential amino acids like serine and proline are missing in the genomes of both endosymbionts, but can be identified in the sequences obtained from the MED transcriptome . This highlights the fact that gene losses in the symbiotic genomes can also occur when some functional redundancies exist with the host’s genome.
Portiera and Hamiltonella synthesize different vitamins and cofactors
Other types of metabolites frequently provided by the symbionts in sap-feeding insects are vitamins and cofactors. Portiera lacks almost all the genes involved in the synthesis of vitamins and cofactors (Figure 2). However, Portiera is the first symbiont reported to be able to produce carotenoids [11,13]. Interestingly, a thorough BLAST search of the whitefly transcriptome  suggested that the insect cannot synthesize carotenoids, unlike aphids . Conversely, Hamiltonella possesses a number of gene sets (76 genes) dedicated to vitamin production, which include riboflavin (vitamin B2), NAD, pyridoxine (vitamin B6), biotin (vitamin B7), folic acid (vitamin B9) (Figure 2, Additional file 4: Figure S4, Additional file 5: Table S2). However, it is unable to produce thiamine (vitamin B1) and pantothenic acid (vitamin B5) and, in the MED transcriptome, we did not find any genes except panC for synthesizing the two missing vitamins, suggesting that whiteflies might capture thiamine and pantothenic acid from the phloem sap. Because the MED transcriptome was sequenced using the whole whitefly , whether the panC gene is laterally acquired by the whitefly or produced by other symbionts (bacteria) within the whitefly is still unknown.
Transport capabilities in link with exchanged metabolites
As revealed by previous analyses, the metabolic networks of both endosymbionts could be highly intertwined requiring efficient transport systems of metabolites. Compared to secondary symbionts, primary symbionts lack many genes for environmental information processing, such as membrane transport and signal transduction (Additional file 5: Table S2). In addition, most primary endosymbionts have kept only a few transporter systems although metabolite fluxes are required within the symbiotic system . Indeed, the metabolism of Portiera needs amino acid, nucleic acid and isoprenoid uptake (Table 4). Moreover, the products of the metabolism of Portiera (carotenoids, essential amino acids) need also to be exported to the host.
However, the genome of Portiera encodes only eleven putative inner-membrane-located transporters (Additional file 5: Table S3). As the gene content of Portiera has quite not changed since the last ancestor between the obligate endosymbionts of B. tabaci and T. vaporarium , this suggests an ancient loss of transporters. The low number of transporters is of the same order of magnitude as in Buchnera Cc (12 transporters), the symbiont of Cinara cedri, and less than half of the number of transporters identified in other Buchnera genomes (30 to 34) . Different hypotheses have been proposed to explain the weak number of transporters in Buchnera Cc . First, this could be linked to the strong specialization of the aphid host of this symbiont (only found in cedar plants), but in our case, the large plant spectrum of B. tabaci is not consistent with this hypothesis. Second, the presence of general transporters with low affinity with the substrates, or the recruitment of transporters from the host, could compensate the losses. For example, aphid GLNT1 which transports glutamine is located in the bacteriocyte membrane instead of the symbiosomal membrane .
In addition, this reduction of the ancestral transporter stock can be explained by the small number of classes of chemical compounds transported by Portiera. Its genome encodes exporters/importers for all of these classes, excepted sugars, but as it is expected in Buchnera Cc, Portiera probably acquires them by passive diffusion . For example, it encodes a gltP proton dependent transporter involved in Escherichia coli in the uptake of aspartate , a probable source of the Portiera metabolism. In addition, this transporter could also allow the uptake of the other required amino acids (Table 4). Another transporter is argO, which is normally involved in arginine export . Interestingly, arginine is no more synthesized by Portiera from B. tabaci, and consequently, argO could have no more roles, or could be involved in the export of other essential amino acids synthesized by the endosymbiont. Finally, the best hits of BTQP_154 (>50% of homology) are ditE-like genes of Pseudomonas spp. The ditE permease could be involved in diterpenoid transport . Thus, this transporter could be a putative candidate for the uptake of isoprenoid sources (Table 4) and the export of carotenoids.
The analysis of the metabolic pathways in Portiera and Hamiltonella revealed the interdependency between two partners engaged in a mutualistic relationship. First, while the two partners depend principally on sources coming from the host diet and metabolism, they could also rely on some sources they provide to each other. Second, although Portiera encodes a large number of genes in the biosynthesis of essential amino-acids, it lacks almost all genes required for the synthesis of cofactors, while the latter are likely to be produced by Hamiltonella. Third, and in addition to this complementarity in terms of provided-sources and metabolites, some strict within-pathway complementation cases have been inferred by our in silico analysis, which concern two essential amino acids (lysine and phenylalanine). These results suggest that Hamiltonella could be a primary partner of the consortium, and could functionally explain the recent results showing the benefit it provides under nutritional stress conditions , and allow its fixation within populations. Interestingly, Hamiltonella probably replaced the primary endosymbiont for some functions that are still assumed by Portiera in other species of B. tabaci. As Hamiltonella is probably a recent symbiont of Bemisia, it appears that both symbionts have been caught in the act of a switch towards reciprocal complementation. Emergence of dependence between the symbiotic partners is rather due to metabolic redundancies which have been eliminated, a phenomenon that led to an apparent mutualism. Nevertheless, all of these postulations are based on the analysis of Portiera and Hamiltonella draft genomes. In order to confirm this scenario and gain insights into the evolutionary dynamics and history of these interactions, this analysis should be extended to other populations of MED species associated with Arsenophonus, and to other species of B. tabaci. This could allow determining when and in which B. tabaci species Portiera lost some key elements for the holobiont functioning, and whether some secondary endosymbionts only replaced these functions, or widened the initial niche of the holobiont, making it less dependent on specific environmental sources for some metabolites.
The B. tabaci line belonging to the MED species (mtCO1 GenBank accession no: DQ473394) was maintained on cotton Gossypium hirsutum (Malvaceae) (cv. Zhe-Mian 1793) in climate chambers at 27 ± 1°C, 14 h : 10 h (light: darkness) and 40-60% relative humidity. The purity of this whitefly line was monitored every 3-5 generations using the RAPD-PCR technique with the primer H16 (5′-TCTCAGCTGG-3′) . Our previous study confirmed this line only harbors two symbionts, the primary symbiont Portiera and the secondary symbiont Hamiltonella .
Fluorescence in situ hybridization (FISH)
The symbiont localization was determined by performing FISH on nymphs as previously described [31,63] with symbiont-specific 16S/23S rRNA DNA probes: BTP1-Cy3 (TGTCAGTGTCAGCCCAGAAG) for Portiera and BTH-Cy5 (CCAGATTCCCAGACTTTACTCA) for Hamiltonella. The Portiera-specific probe was used for all the individuals for control. Stained samples were whole mounted and photographed on a confocal microscope (Leica). Specificity of detection was confirmed using no probe staining and RNase-digested specimen.
Purification and amplification of endosymbionts DNA from a single bacteriocyte
MED whitefly nymphs with paired, roundish and orange color bacteriome were dissected in PBS (GIBCO®, Invitrogen, USA). A single bacteriocyte was collected with a micropipette on a glass slice and symbiont cells were then isolated by Eppendorf® microcapillary using a TransferMan® NK2 micromanipulator with a CellTram Vario (Eppendorf, Germany) under an inverted microscope. To prepare the total DNA of the symbionts, the symbiont cells in PBS were amplified by multiple displacement amplification (MDA) using the Repli-g UltraFast Mini Kit (Qiagen, Germany) according to the manufacturer’s protocol, with some modifications . The yield of amplified total DNA was about 300 ng per microliter.
The amplified DNA was checked by diagnostic PCR using primers specific for Portiera and Hamiltonella . Contamination by DNA from B. tabaci was also checked by performing PCR on β-actin gene and EF1 gene. The β-actin gene primers were Actin-F (GCTGCCTCCACCTCATTAGA) and Actin-R (AGGGCGGTGATTTCCTTCT). The PCR parameters for β-Actin gene of B. tabaci were 4 min at 94°C, followed by 30 cycles of: 45 s at 94°C, 45 s at 60°C, 1 min at 72°C, and a final extension of 10 min at 72°C. The EF1 gene primers were EF-F (CGTCCCCATTTCTGGATGGCACGG) and EF-R (CATCTCGACGGACTTAACTTCAGT), and the PCR parameters for EF1 gene are described in Ghanim et al. .
Genome sequencing, assembly and annotation
Using the amplified endosymbiotic DNA, two paired-end libraries with an average insert size of 200 bp and 2 kb were generated and sequenced respectively, using the Illumina HiSeq 2000 sequencer according to the manufacturer’s protocols in Beijing Genomics Institute, BGI (Shenzhen, China). The reads belonging to Portiera were retrieved based on previous published Portiera genomes and then assembled using SOAPdenovo v1.05 (http://soap.genomics.org.cn/). The Portiera genome was assembled in a single circular closed contig. The rest of the reads were used for Hamiltonella assembly. By testing a range of k-mers (21, 25, 33, 37, 47, 53 and 57), we selected 33-mer as final K-mer size for assembly with default parameters. The resulted contigs were connected according to the 200 bp and 2 kb mate-paired relationships. This assembly generated a draft genome of Hamiltonella. It has an approximate size of 1,800,792 bp and comprises 92 large scaffolds. The incompleteness of the Hamiltonella genome is probably due to the bias during PCR amplification. CDSs were then predicted by Glimmer v3.0, and a homologous comparison to a nonredundant public database was performed by BLAST for function annotation. Genes were assumed to be pseudogenes if they underwent more than 20% of reduction compared to orthologs following . The annotation of COGs, gene ontologies, and EC numbers was performed using SWISSPROT. We used RNAmmer and tRNAscan to identify rRNAs  and tRNAs . tRNA genes with anticodon CAT were discriminated according to Silva et al. .
KEGG (Kyoto Encyclopedia of Genes and Genome) analysis
For functional categorization, the protein sequences of the symbionts were annotated by mapping to KEGG pathways. All genes of Portiera and Hamiltonella were analyzed based on BBH (bi-directional best hit) by using the KAAS tool , which compared the metabolic capacity of the two bacteria with the other primary and secondary symbionts (see Additional file 5: Table S2).
Metabolic complementation analysis
PathwayTools  was used to build the metabolic networks of both Portiera and Hamiltonella on the basis of E.C. numbers and annotations. MetExplore  was used to check and curate each metabolic reconstruction individually. Cytoscape was used for network visualisation . Each reaction removed or corrected in MetExplore was followed by a strict manual control (see below). The refined networks were used to identify the metabolic sources in the two symbionts, i.e. the inputs which permit to produce all the different metabolites. Thus, it was important to avoid the detection of sources with no biological sense. To do this, we removed reactions which were unlikely to take place in these organisms, or which did not interest us in the case of this work. More precisely, the automatic reconstruction generated isolated reactions which do not use any inputs produced by the metabolism of either symbiont (Additional file 5: Table S4 and S5). These reactions can correspond to spontaneous reactions that have been placed in the networks because they do not need enzymes and can thus theoretically occur in all organisms. They can also correspond to enzymes that can theoretically perform different reactions. In that case only the reactions that are connected with the rest of the network were kept. Some reactions can also involve generic metabolites (“a sugar”) and were replaced by the specific metabolites (“glucose”), or removed if these specific reactions were not connected to the rest of the network. Finally, reactions that are not assumed to occur in prokaryotes were also removed. For each removed reaction in the metabolic network of a given endosymbiont, we checked that the concerned metabolites were not a product or a source of the metabolism of the other endosymbiont. Finally, to detect sources, we applied the Borenstein’s method  on the two metabolic reconstructions independently, using the Igraph package (R software) . Some sources were due to missing reactions in the pathways. It is the case for lysine or folate biosynthesis in Hamiltonella. In order to check for the validity of these sources, the missing genes were searched on the basis of both MetaCyc and KEGG maps. For each missing reaction, we used queries based on Blast, domain identification, and enzyme name/E.C number to identify putative candidates – the last two steps were performed using the MaGe platform.
Portiera transporter analysis
Analysis of the transporters of Portiera was performed as described in Charles et al. . At first, Blast was used against the Transport Classification DataBase (TCDB) in order to find a set of potential transporters and to assess their classification according to the TCDB. Then GO annotations of the homologous genes present in UniprotKB were used to identify genes involved in transport. The genes found from these two steps were manually curated. The enzymatic reactions generally need some cofactors to occur. These last are not produced by Portiera and have also to be transported inside the cell from the environment. Thus, we considered these cofactors as an additional source of the metabolism of Portiera (Additional file 5: Table S6). The Uniprot database allowed us to find the cofactors associated with the different enzymes encoded by the Portiera genome.
Nucleotide sequence accession numbers
The complete genome sequence of “Candidatus Portiera aleyrodidarum” from the MED whiteflies has been deposited at GenBank under the accession number CP007563. The draft genome of “Candidatus Hamiltonella defense” from the MED whiteflies has been deposited under the accession number AJLH00000000 . The version described in this paper is the second version, AJLH02000000.
Moran NA, McCutcheon JP, Nakabachi A. Genomics and evolution of heritable bacterial symbionts. Annu Rev Genet. 2008;42:165–90.
Moya A, Pereto J, Gil R, Latorre A. Learning how to live together: genomic insights into prokaryote-animal symbioses. Nat Rev Genet. 2008;9:218–29.
Douglas AE. Nutritional interactions in insect-microbial symbioses: aphids and their symbiotic bacteria Buchnera. Annu Rev Entomol. 1998;43:17–37.
Thao ML, Baumann P. Evolutionary relationships of primary prokaryotic endosymbionts of whiteflies and their hosts. Appl Environ Microbiol. 2004;70:3401–6.
Wilson ACC, Ashton PD, Calevro F, Charles H, Colella S, Febvay G, et al. Genomic insight into the amino acid relations of the pea aphid, Acyrthosiphon pisum, with its symbiotic bacterium Buchnera aphidicola. Insect Mol Biol. 2010;19 Suppl 2:249–58.
Husnik F, Nikoh N, Koga R, Ross L, Duncan RP, Fujie M, et al. Horizontal gene transfer from diverse bacteria to an insect genome enables a tripartite nested mealybug symbiosis. Cell. 2013;153:1567–78.
Sloan DB, Nakabachi A, Richards S, Qu J, Murali SC, Gibbs RA, et al. Parallel histories of horizontal gene transfer facilitated extreme reduction of endosymbiont genomes in sap-feeding insects. Mol Biol Evol. 2014;31:857–71.
Shigenobu S, Watanabe H, Hattori M, Sakaki Y, Ishikawa H. Genome sequence of the endocellular bacterial symbiont of aphids Buchnera sp. APS Nature. 2000;407:81–6.
Perez-Brocal V, Gil R, Ramos S, Lamelas A, Postigo M, Michelena JM, et al. A small microbial genome: the end of a long symbiotic relationship? Science. 2006;314:312–3.
Sloan DB, Moran NA. Genome reduction and co-evolution between the primary and secondary bacterial symbionts of psyllids. Mol Biol Evol. 2012;29:3781–92.
Sloan DB, Moran NA. Endosymbiotic bacteria as a source of carotenoids in whiteflies. Biol Lett. 2012;8:986–9.
Sloan DB, Moran NA. The evolution of genomic instability in the obligate endosymbionts of whiteflies. Genome Biol Evol. 2013;5:783–93.
Santos-Garcia D, Farnier PA, Beitia F, Zchori-Fein E, Vavre F, Mouton L, et al. Complete genome sequence of “Candidatus Portiera aleyrodidarum” BT-QVLC, an obligate symbiont that supplies amino acids and carotenoids to Bemisia tabaci. J Bacteriol. 2012;194:6654–5.
McCutcheon JP, von Dohlen CD. An interdependent metabolic patchwork in the nested symbiosis of mealybugs. Curr Biol. 2011;21:1366–72.
Lopez-Madrigal S, Latorre A, Porcar M, Moya A, Gil R. Mealybugs nested endosymbiosis: going into the ‘matryoshka’ system in Planococcus citri in depth. BMC Microbiol. 2013;13:74.
Zchori-Fein E, Bourtzis K. Manipulative tenants: bacteria associated with arthropods. Boca Raton, USA: CRC Press; 2012.
Sintupachee S, Milne JR, Poonchaisri S, Baimai V, Kittayapong P. Closely related Wolbachia strains within the pumpkin arthropod community and the potential for horizontal transmission via the plant. Microb Ecol. 2006;51:294–301.
Chiel E, Zchori-Fein E, Inbar M, Gottlieb Y, Adachi-Hagimori T, Kelly SE, et al. Almost there: transmission routes of bacterial symbionts between trophic levels. PLoS One. 2009;4:e4767.
Degnan PH, Yu Y, Sisneros N, Wing RA, Moran NA. Hamiltonella defensa, genome evolution of protective bacterial endosymbiont from pathogenic ancestors. Proc Natl Acad Sci U S A. 2009;106:9063–8.
Lamelas A, Gosalbes MJ, Manzano-Marin A, Pereto J, Moya A, Latorre A. Serratia symbiotica from the aphid Cinara cedri: a missing link from facultative to obligate insect endosymbiont. PLoS Genet. 2011;7:e1002357.
Wu D, Daugherty SC, Van Aken SE, Pai GH, Watkins KL, Khouri H, et al. Metabolic complementarity and genomics of the dual bacterial symbiosis of sharpshooters. PLoS Biol. 2006;4:1079–92.
McCutcheon JP, McDonald BR, Moran NA. Convergent evolution of metabolic roles in bacterial co-symbionts of insects. Proc Natl Acad Sci U S A. 2009;106:15394–9.
McCutcheon JP, Moran NA. Functional convergence in reduced genomes of bacterial symbionts spanning 200 My of evolution. Genome Biol Evol. 2010;2:708–18.
Bennett GM, Moran NA. Small, smaller, smallest: the origins and evolution of ancient dual symbioses in a phloem-feeding insect. Genome Biol Evol. 2013;5:1675–88.
Ferrari J, Vavre F. Bacterial symbionts in insects or the story of communities affecting communities. Proc R Soc B-Biol Sci. 2011;366:1389–400.
Vautrin E, Vavre F. Interactions between vertically transmitted symbionts: cooperation or conflict? Trends in Microbiol. 2009;17:95–9.
Vautrin E, Genieys S, Charles S, Vavre F. Do vertically transmitted symbionts co-existing in a single host compete or cooperate? A modelling approach. J Evolution Biol. 2008;21:145–61.
Dinsdale A, Cook L, Riginos C, Buckley YM, Barro PD. Refined global analysis of Bemisia tabaci (Hemiptera: Sternorrhyncha: Aleyrodoidea: Aleyrodidae) mitochondrial cytochrome oxidase 1 to identify species level genetic boundaries. Ann Entomol Soc Am. 2010;103:196–208.
De Barro PJ, Liu SS, Boykin LM, Dinsdale AB. Bemisia tabaci: A statement of species status. Annu Rev Entomol. 2011;56:1–19.
Hu J, De Barro P, Zhao H, Wang J, Nardi F, Liu SS. An extensive field survey combined with a phylogenetic analysis reveals rapid and widespread invasion of two alien whiteflies in China. PLoS One. 2011;6:e16061.
Gottlieb Y, Ghanim M, Gueguen G, Kontsedalov S, Vavre F, Fleury F, et al. Inherited intracellular ecosystem: symbiotic bacteria share bacteriocytes in whiteflies. FASEB J. 2008;22:2591–9.
Baumann P. Biology of bacteriocyte-associated endosymbionts of plant sap-sucking insects. Annu Rev Microbiol. 2005;59:155–89.
Mahadav A, Gerling D, Gottlieb Y, Czosnek H, Ghanim M. Parasitization by the wasp Eretmocerus mundus induces transcription of genes related to immune response and symbiotic bacteria proliferation in the whitefly Bemisia tabaci. BMC Genomics. 2008;9:342.
Brumin M, Kontsedalov S, Ghanim M. Rickettsia influences thermotolerance in the whitefly Bemisia tabaci B biotype. Insect Sci. 2011;18:57–66.
Ghanim M, Kontsedalov S. Susceptibility to insecticides in the Q biotype of Bemisia tabaci is correlated with bacterial symbiont densities. Pest Manag Sci. 2009;65:939–42.
Bing XL, Ruan YM, Rao Q, Wang XW, Liu SS. Diversity of secondary endosymbionts among different putative species of the whitefly Bemisia tabaci. Insect Sci. 2013;20:194–206.
Bing XL, Yang J, Zchori-Fein E, Wang XW, Liu SS. Characterization of a newly discovered symbiont of the whitefly Bemisia tabaci (Hemiptera: Aleyrodidae). Appl Environ Microbiol. 2013;79:569–75.
Su Q, Xie W, Wang S, Wu Q, Liu B, Fang Y, et al. The endosymbiont Hamiltonella increases the growth rate of its host Bemisia tabaci during periods of nutritional stress. PLoS One. 2014;9:e89002.
Rao Q, Luo C, Zhang H, Guo X, Devine GJ. Distribution and dynamics of Bemisia tabaci invasive biotypes in central China. Bull Entomol Res. 2011;101:81–8.
Rao Q, Xu YH, Luo C, Zhang HY, Jones CM, Devine GJ, et al. Characterisation of neonicotinoid and pymetrozine resistance in strains of Bemisia tabaci (Hemiptera: Aleyrodidae) from China. J Integr Agr. 2012;11:321–6.
Gueguen G, Vavre F, Gnankine O, Peterschmitt M, Charif D, Chiel E, et al. Endosymbiont metacommunities, mtDNA diversity and the evolution of the Bemisia tabaci (Hemiptera: Aleyrodidae) species complex. Mol Ecol. 2010;19:4365–78.
Sandstrom JP, Russell JA, White JP, Moran NA. Independent origins and horizontal transfer of bacterial symbionts of aphids. Mol Ecol. 2001;10:217–28.
Moran NA, Russell JA, Koga R, Fukatsu T. Evolutionary relationships of three new species of Enterobacteriaceae living as symbionts of aphids and other insects. Appl Environ Microbiol. 2005;71:3302–10.
Nakabachi A, Yamashita A, Toh H, Ishikawa H, Dunbar HE, Moran NA, et al. The 160-kilobase genome of the bacterial endosymbiont Carsonella. Science. 2006;314:267.
McCutcheon JP, McDonald BR, Moran NA. Origin of an alternative genetic code in the extremely small and GC-rich genome of a bacterial symbiont. PLoS Genet. 2009;5:e1000565.
Sabree ZL, Huang CY, Okusu A, Moran NA, Normark BB. The nutrient supplying capabilities of Uzinura, an endosymbiont of armoured scale insects. Environ Microbiol. 2013;15:1988–99.
Jiang ZF, Xia F, Johnson KW, Bartom E, Tuteja JH, Stevens R, et al. Genome sequences of the primary endosymbiont “Candidatus Portiera aleyrodidarum” in the whitefly Bemisia tabaci B and Q biotypes. J Bacteriol. 2012;194:6678–9.
Tatusov RL, Koonin EV, Lipman DJ. A genomic perspective on protein families. Science. 1997;278:631–7.
Tamas I, Wernegreen JJ, Nystedt B, Kauppinen SN, Darby AC, Gomez-Valero L, et al. Endosymbiont gene functions impaired and rescued by polymerase infidelity at poly(A) tracts. Proc Natl Acad Sci U S A. 2008;105:14934–9.
Wang XW, Luan JB, Li JM, Bao YY, Zhang CX, Liu SS. De novo characterization of a whitefly transcriptome and analysis of its gene expression during development. BMC Genomics. 2010;11:400.
Lopez-Sanchez MJ, Neef A, Pereto J, Patino-Navarrete R, Pignatelli M, Latorre A, et al. Evolutionary convergence and nitrogen metabolism in Blattabacterium strain Bge, primary endosymbiont of the cockroach Blattella germanica. PLoS Genet. 2009;5:e1000721.
Charles H, Balmand S, Lamelas A, Cottret L, Perez-Brocal V, Burdin B, et al. A genomic reappraisal of symbiotic function in the aphid/Buchnera symbiosis: reduced transporter sets and variable membrane organisations. PLoS One. 2011;6:e29096.
Hansen AK, Moran NA. The impact of microbial symbionts on host plant utilization by herbivorous insects. Mol Ecol. 2014;23:1473–96.
Russell CW, Bouvaine S, Newell PD, Douglas AE. Shared metabolic pathways in a coevolved insect-bacterial symbiosis. Appl Environ Microbiol. 2013;79:6117–23.
Douglas AE. Phloem-sap feeding by animals: problems and solutions. J Exp Bot. 2006;57:747–54.
Moran NA, Jarvik T. Lateral transfer of genes from fungi underlies carotenoid production in aphids. Science. 2010;328:624–7.
Ren Q, Paulsen IT. Comparative analyses of fundamental differences in membrane transport capabilities in prokaryotes and eukaryotes. PLoS Comput Biol. 2005;1:e27.
Price DRG, Feng H, Baker JD, Bavan S, Luetje CW, Wilson ACC. Aphid amino acid transporter regulates glutamine supply to intracellular bacterial symbionts. Proc Natl Acad Sci U S A. 2014;111:320–5.
Wallace B, Yang YJ, Hong JS, Lum D. Cloning and sequencing of a gene encoding a glutamate and aspartate carrier of Escherichia coli K-12. J Bacteriol. 1990;172:3214–20.
Nandineni MR, Gowrishankar J. Evidence for an arginine exporter encoded by yggA (argO) that is regulated by the LysR-type transcriptional regulator ArgP in Escherichia coli. J Bacteriol. 2004;186:3539–46.
Martin VJ, Mohn WW. Genetic investigation of the catabolic pathway for degradation of abietane diterpenoids by Pseudomonas abietaniphila BKME-9. J Bacteriol. 2000;182:3784–93.
De Barro PJ, Driver F. Use of RAPD-PCR to distinguish the B biotype from other biotypes of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae). Aust J Entomol. 1997;36:149–52.
Gottlieb Y, Ghanim M, Chiel E, Gerling D, Portnoy V, Steinberg S, et al. Identification and localization of a Rickettsia sp. in Bemisia tabaci (Homoptera : Aleyrodidae). Appl Environ Microbiol. 2006;72:3646–52.
Woyke T, Tighe D, Mavromatis K, Clum A, Copeland A, Schackwitz W, et al. One bacterial cell, one complete genome. PLoS One. 2010;5:e10314.
Zchori-Fein E, Brown JK. Diversity of prokaryotes associated with Bemisia tabaci (Gennadius) (Hemiptera : Aleyrodidae). Ann Entomol Soc Am. 2002;95:711–8.
Ghanim M, Sobol I, Ghanim M, Czosnek H. Horizontal transmission of begomoviruses between Bemisia tabaci biotypes. Arthropod-Plant Interactions. 2007;1:195–204.
Lerat E, Ochman H. Recognizing the pseudogenes in bacterial genomes. Nucleic Acids Res. 2005;33:3125–32.
Lagesen K, Hallin P, Rodland EA, Staerfeldt HH, Rognes T, Ussery DW. Consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 2007;35:3100–8.
Schattner P, Brooks AN, Lowe TM. The tRNAscan-SE, snoscan and snoGPS web servers for the detection of tRNAs and snoRNAs. Nucleic Acids Res. 2005;33:W686–689.
Silva FJ, Belda E, Talens SE. Differential annotation of tRNA genes with anticodon CAT in bacterial genomes. Nucleic Acids Res. 2006;34:6015–22.
Moriya Y, Itoh M, Okuda S, Yoshizawa AC, Kanehisa M. KAAS: an automatic genome annotation and pathway reconstruction server. Nucleic Acids Res. 2007;35:W182–185.
Karp PD, Paley S, Romero P. The pathway tools software. Bioinformatics. 2002;18 Suppl 1:S225–232.
Cottret L, Wildridge D, Vinson F, Barrett MP, Charles H, Sagot MF, et al. MetExplore: a web server to link metabolomic experiments and genome-scale metabolic networks. Nucleic Acids Res. 2010;38:W132–137.
Smoot ME, Ono K, Ruscheinski J, Wang PL, Ideker T. Cytoscape 2.8: new features for data integration and network visualization. Bioinformatics. 2011;27:431–2.
Borenstein E, Kupiec M, Feldman MW, Ruppin E. Large-scale reconstruction and phylogenetic analysis of metabolic environments. Proc Natl Acad Sci U S A. 2008;105:14482–7.
Csardi G, Nepusz T. The igraph software package for complex network research. Complex Systems: Inter Journal; 2012.
Rao Q, Wang S, Su YL, Bing XL, Liu SS, Wang XW. Draft genome sequence of “Candidatus Hamiltonella defensa”, an endosymbiont of the whitefly. Bemisia tabaci J Bacteriol. 2012;194:3558.
Ogata H, La Scola B, Audic S, Renesto P, Blanc G, Robert C, et al. Genome sequence of Rickettsia bellii illuminates the role of amoebae in gene exchanges between intracellular pathogens. PLoS Genet. 2006;2:e76.
Wu M, Sun LV, Vamathevan J, Riegler M, Deboy R, Brownlie JC, et al. Phylogenomics of the reproductive parasite Wolbachia pipientis wMel: a streamlined genome overrun by mobile genetic elements. PLoS Biol. 2004;2:e69.
Nakabachi A, Ueoka R, Oshima K, Teta R, Mangoni A, Gurgui M, et al. Defensive bacteriome symbiont with a drastically reduced genome. Curr Biol. 2013;23:1478–84.
Blattner FR, Plunkett 3rd G, Bloch CA, Perna NT, Burland V, Riley M, et al. The complete genome sequence of Escherichia coli K-12. Science. 1997;277:1453–62.
Toh H, Weiss BL, Perkin SA, Yamashita A, Oshima K, Hattori M, et al. Massive genome erosion and functional adaptations provide insights into the symbiotic lifestyle of Sodalis glossinidius in the tsetse host. Genome Res. 2006;16:149–56.
Darby AC, Choi JH, Wilkes T, Hughes MA, Werren JH, Hurst GD, et al. Characteristics of the genome of Arsenophonus nasoniae, son-killer bacterium of the wasp Nasonia. Insect Mol Biol. 2010;19 Suppl 1:75–89.
Degnan PH, Lazarus AB, Wernegreen JJ. Genome sequence of Blochmannia pennsylvanicus indicates parallel evolutionary trends among bacterial mutualists of insects. Genome Res. 2005;15:1023–33.
Gil R, Silva FJ, Zientz E, Delmotte F, Gonzalez-Candelas F, Latorre A, et al. The genome sequence of Blochmannia floridanus: comparative analysis of reduced genomes. Proc Natl Acad Sci U S A. 2003;100:9388–93.
McCutcheon JP, Moran NA. Parallel genomic evolution and metabolic interdependence in an ancient symbiosis. Proc Natl Acad Sci U S A. 2007;104:19392–7.
Zientz E, Dandekar T, Gross R. Metabolic interdependence of obligate intracellular bacteria and their insect hosts. Microbiol Mol Biol Rev. 2004;68:745–70.
Cottret L, Milreu PV, Acuña V, Marchetti-Spaccamela A, Stougie L, Charles H, et al. Graph-based analysis of the metabolic exchanges between two co-resident intracellular symbionts, Baumannia cicadellinicola and Sulcia muelleri, with their insect host, Homalodisca coagulata. PLoS Comput Biol. 2010;6:e1000904.
Lin H, Lou B, Glynn JM, Doddapaneni H, Civerolo EL, Chen C, et al. The complete genome sequence of “Candidatus Liberibacter solanacearum”, the bacterium associated with potato zebra chip disease. PLoS One. 2011;6:e19135.
This work was supported by grants from the National Natural Science Foundation of China (Projects 31321063 and 31390421). This work was supported by grants BFU2012-39816-C02-01 (co-financed by FEDER funds and Ministerio de Economía y Competitividad, Spain) and Prometeo 92/2009 from Generalitat Valenciana (Spain) and by EU COST Action FA0701. D.S-G. is a recipient of a contract from Prometeo 92/2009. These results have been achieved within the framework of the 1st call on Mediterranean agriculture carried out by ARIMNet, with funding from MOARD (IL), ANR (FR), INIA (ES), NAGREF-DEMETER (GR), and GDAR (TR). P. A. Rollat-Farnier is a recipient of a grant from the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007-2013) / ERC grant agreement n°  10 SISYPHE. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
The authors declare that they have no competing interests.
FS, FV, SSL, LM and XWW conceived and designed the experimental plan. QR, PR, DTZ, DS and CK performed experiments. QR, PR, DS, FV, FS, AM, AL and MS analyzed the data. QR, PR, FS, FV, LM and XWW drafted the manuscript. All authors read and approved the final manuscript.
Laurence Mouton and Xiao-Wei Wang are last co-authors.
Qiong Rao and Pierre-Antoine Rollat-Farnier contributed equally to this work.
Amplified DNA and diagnostic PCR. Diagnostic PCRs were performed with Portiera-specific primers, Hamiltonella-specific primers and B. tabaci primers targeting β-actin and elongation factor gene (EF1). From left to right, S1 and S2-two samples of amplified bacterial DNA, B- amplified DNA from one whole bacteriocyte (including symbionts and the bacteriocyte of B. tabaci), A- DNA from adults of B. tabaci, N- DNA from nymphs of B. tabaci, C- negative control.
COG-based characterization of all proteins with annotated functions in Portiera and Hamiltonella.
Mutation in the aroA gene of Hamiltonella from whitefly and aphid. Ap: partial aroA CDS of Hamiltonella from aphid (GenBank: CP001277.1; 267 bp: 683, 503-683, 769); Bt: partial aroA CDS in this study (Q-B.HGL0000044); W1-W7: partial aroA CDS of Hamiltonella from adults of B. tabaci by PCR sequencing.
Comparative analysis of genes by metabolism functional KEGG categories from the genomes of Portiera and other bacteria. For abbreviations of symbionts, Tp: Tremblaya princeps, Hc: Hodgkinia cicadicola, Cr: Carsonella ruddii, Sm: Sulcia muelleri, Pa: Portiera aleyrodidarum, Ba-Cc : Buchnera aphidicola (Cinara cedri), Ba-Ap: Buchnera aphidicola (Acyrthosiphon pisum).
Amino acid metabolism functional KEGG categories from the genomes of Portiera. Table S2. Comparative analysis of genes by functional KEGG categories. Table S3. Transporters. Table S4. Removed reactions in the metabolic network of Portiera. Legend: G(eneric reactions), I(solated reactions), P(seudogenes), Sp(ontaneous reactions), T(axonomic issues). Table S5. Reactions in the metabolic network of Portiera. Legend: G(eneric reactions), I(solated reactions), P(seudogenes), Sp(ontaneous reactions), T(axonomic issues). Table S6. Necessary cofactors for the Portiera enzymes. The left column gives the list of the cofactors (based on Uniprot information), the right column the number of associated enzymes.