Abstract
Leishmaniasis control often relies upon insecticidal control of phlebotomine sandfly vector populations. Such methods are vulnerable to the evolution of insecticide resistance via a range of molecular mechanisms. There is evidence that two major resistance mechanisms, target site insensitivity and metabolic resistance, have evolved in some sandfly populations and further genetic characterization of resistance would be useful to understand and combat it. To facilitate the study of the mechanisms of metabolic resistance, here we improved the annotation and characterized a major detoxification gene family, the glutathione‐s‐transferases (GST), in the genomes of two sand fly species: Phlebotomus papatasi and Lutzomyia longipalpis. The compositions of the GST gene family differ markedly from those of Aedes and Anopheles mosquitoes. Most strikingly, the xi (X) class of GSTs appears to have expanded in both sand fly genomes. Our results provide a basis for further studies of metabolic resistance mechanisms in these important disease vector species.
Keywords: detoxification, insecticide resistance, Leishmaniasis, Lutzomyia longipalpis, metabolic resistance, Phlebotomus papatasi, sand flies
By extensive manual editing of genome annotations, we determined the complement of glutathione S‐transferase genes in two phlebotomine sand fly species: Phlebotomus papatasi and Lutzomyia longipalpis.
Major differences in GST composition were seen compared with mosquito and fruit fly genomes, especially in classes associated with insecticide resistance.
A novel GST class (xi) is expanded in both sand fly species, while delta and epsilon GST classes were reduced or absent.
Schematic diagram showing results of manual editing of the gene model of a putative GST gene (LLOJ004460) in the genome of Lutzomyia longipalpis. The existing, incorrect, annotation is shown in grey and the modified annotations (splitting the gene into two genes: 'a' and 'b') in green and orange.
INTRODUCTION
The Leishmaniases, a group of neglected parasitic diseases caused by Leishmania parasites, are transmitted by a number of species of phlebotomine sand fly (Burza et al., 2018). Leishmaniases are neglected diseases, often associated with poverty, that collectively exert a large disease burden in over 100 countries. Disease control methods differ in different contexts, though a major pillar of Leishmaniasis control relies upon control of its sand fly vectors (Wilson et al., 2020). However, insecticidal control methods are vulnerable to the evolution of insecticide resistance, so understanding the mechanisms of resistance is important for identifying, tracking and tackling it.
Insecticide resistance can evolve in a number of ways. One is via mutations in the genes encoding the insecticides' target proteins that render the insecticides ineffective (so‐called ‘target site resistance’). Another is via increased metabolism and removal of the insecticide (‘metabolic resistance’). Insecticides of the pyrethroid class (used in impregnated bednets and house spraying) and the organochlorine class (DDT, used in house spraying) both target the voltage‐gated sodium channel (VGSC) on the surface of neurons, while carbamate and organophosphate class insecticides target the acetylcholinesterase enzyme. Metabolic resistance is commonly due to overexpression of members of large multi‐gene families encoding detoxification enzymes such as cytochrome P450 monooxygenases (CYP), glutathione S‐transferases (GST) and carboxylesterases. Both target site and metabolic resistance are widespread in insects (Ffrench‐Constant, 2013) and threaten disease control programmes (Hemingway, 2018).
GSTs play roles in a number of endogenous processes such as hormone biosynthesis and intracellular transport, and they are critical in the detoxification of xenobiotic compounds (Ketterman et al., 2011). GSTs can confer resistance by direct mechanisms – metabolizing and sequestering toxic compounds – and indirect mechanisms – protecting against oxidative stress caused by exposure to the insecticide (Ketterman et al., 2011; Pavlidi et al., 2018). The GSTs form a superfamily, with different GST classes categorized based on sequence similarity. Two broad groups of GSTs – microsomal and cytosolic – are found in insects. Among the cytosolic GSTs, classes omega (GSTO), sigma (GSTS), theta (GSTT), zeta (GSTZ) are found ubiquitously in animals. In addition, in insects and some other arthropods, the GST classes delta (GSTD) and epsilon (GSTE) are found (Enayati et al., 2005; Ketterman et al., 2011) and are often expanded to outnumber the other GST classes (Ranson et al., 2002). Two additional classes, xi (GSTX) and iota (GSTI), were identified (with 2 and 1 members, respectively) and suggested to be specific to Aedes and Anopheles mosquitoes (Lumjuan et al., 2007). Insecticide resistance has most commonly been associated with the insect‐specific, cytosolic GSTD and GSTE classes (Enayati et al., 2005). Multiple lines of evidence have confirmed certain GSTs, such as the epsilon class GSTE2 in Anopheles and Aedes mosquitoes, as major drivers of insecticide resistance. Elevated expression of GSTE2 is seen in DDT‐resistant populations of Anopheles funestus (Riveron et al., 2014; Weedall et al., 2019; Kouamo et al., 2021), Anopheles gambiae (Ranson et al., 2001) and Aedes aegypti (Lumjuan et al., 2005). Population genetic analyses show GSTE loci evolving under strong directional selection in An. funestus (Weedall et al., 2020) and An. gambiae (Anopheles gambiae 1000 Genomes Consortium, 2017). Recombinant protein expression and in vitro biochemical characterization of GSTE2 allelic variants show different abilities to metabolize DDT (Lumjuan et al., 2005; Riveron et al., 2014; Mitchell et al., 2014), explained by protein structure analyses (Wang et al., 2008; Riveron et al., 2014; Mitchell et al., 2014). Heterologous in vivo expression of GSTE2 in Drosophila melanogaster (Riveron et al., 2014; Mitchell et al., 2014) has validated its role in conferring resistance. In vivo RNAi gene silencing of a number of GSTE genes in addition to GSTE2 in An. funestus (Kouamo et al., 2021) and Ae. aegypti (Lumjuan et al., 2011) has also implicated them in resistance to the pyrethroid deltamethrin. In addition to delta and epsilon classes, GSTS (Yamamoto et al., 2007; Gawande et al., 2014; Hassan et al., 2019) and possibly GSTX (Grant & Hammock, 1992; Lumjuan et al., 2007) have also been associated with insecticide resistance by similar experimental approaches.
Though little‐studied compared with aedine and anopheline mosquitoes, insecticide resistance has been reported in sand fly populations subjected to long‐term insecticide exposure. In India, Bangladesh and Nepal, where P. papatasi and P. argentipes transmit cutaneous and visceral Leishmaniasis, respectively, and DDT has been used since the 1950s in disease control programmes, DDT resistance has been reported in P. papatasi populations, reviewed by Dhiman & Yadav (2016). Target site mutations in the VGSC have been detected in P. argentipes in India (Dhiman & Yadav, 2016; Gomes et al., 2017; Sardar et al., 2018) and Sri Lanka (Pathirage et al., 2020), where elevated GST and esterase activity was also reported. Target site mutations in the VGSC have also been reported in a Phlebotomus papatasi population in Turkey (Fotakis et al., 2018). Reduced mortality to deltamethrin and permethrin was seen in sand flies in a region of Turkey with long‐term exposure but full susceptibility in another region without exposure (Karakus et al., 2017). Similarly in Sudan, P. papatasi in regions of historical insecticide exposure showed resistance to malathion and propoxur (Hassan et al., 2012). In Brazil, Lutzomyia longipalpis populations exposed to insecticides showed reduced mortality in bioassays (Alexander et al., 2009; Pathirage et al., 2020).
To understand the evolution and molecular mechanisms of metabolic resistance in sand flies, it is important to first characterize the major detoxification enzyme families. An important first step in this effort is manual editing and curation of the annotation of these gene families in genome assemblies (Weedall et al., 2015). Here, we defined one of these gene families, the glutathione s‐transferases (GST), in the P. papatasi and L. longipalpis genomes and compared its composition with that seen in other disease vector species. The composition of the GST gene family is very different in the sand flies, with a major expansion of the insect‐specific GSTX subfamily, which may influence resistance evolution in these species.
RESULTS
Glutathione S‐Transferase (GST) proteins from the well‐annotated mosquitoes Aedes aegypti and Anopheles gambiae were used to search the predicted proteomes of P. papatasi and L. longipalpis using BLASTp. Putative GST proteins were carefully inspected and compared with annotated GSTs to assess and manually edit their gene models and produce an improved annotation and an inventory of GST genes in each of the sand fly genomes. This resulted in 23–25 GST genes annotated in the P. papatasi genome and 44–47 in the L. longipalpis genome. Table 1 and Figure 1 summarize these results. Full details of the gene edits and gene‐wise information are shown in Table S1 (for P. papatasi), Table S2 (for L. longipalpis) and Appendix S1 (gene edits in both genomes).
TABLE 1.
GST family | P. papatasi | L. longipalpis | An. gambiae | Ae. aegypti | D. melanogaster |
---|---|---|---|---|---|
delta (D) | 2 | 11 | 12–15 a | 8 | 11 |
epsilon (E) | 0 | 0 | 8 | 15 b | 14 |
iota (I) | 1 | 1–3 c | 1 | 1 | 0–1 d |
omega (O) | 1 | 1 | 1 | 1 | 4 |
sigma (S) | 1 | 1–2 | 1 | 1 | 1 |
theta (T) | 2–3 | 4 | 2 | 4 | 4 |
xi (X) | 11–12 e | 23 | 2 | 2 | 0 |
zeta (Z) | 1 f | 1 | 1 | 1 | 2 |
microsomal (MS) | 4 | 4 | 3 | 3–4 g | 3 |
Total | 23–25 | 44–47 | 31–34 | 33–34 | 39–40 |
Three genes on unlocalized scaffolds show >98% amino acid identity with genes on chromosomes and are potentially allelic rather than paralogous.
In the Ae. aegypti reference genome, tandem duplications within the epsilon cluster have produced two extra copies each of GSTE2 and GSTE5 and three extra copies of GSTE7 – without these there are eight paralogous GSTE genes.
Three adjacent, partial genes, possibly all belong to a single gene.
High level of similarity to part of the GST‐containing FLYWCH zinc‐finger protein, gfzf.
Eleven complete coding sequences could be reconstructed, and additional gene could not be resolved into a complete coding sequence.
One putative gene made by joining two annotated partial genes on different scaffolds.
Gene AAEL023181, on an unlocalized scaffold, is identical to AAEL010157 and may be allelic rather than paralogous.
The most striking differences between the sand fly genomes and those of fellow nematocera Aedes aegypti and Anopheles gambiae mosquitoes and the more distantly‐related brachyceran Drosophila melanogaster fruit flies are the apparent complete absence of the epsilon class of GSTs from both sand fly genomes, the small number of delta GSTs in P. papatasi (though not L. longipalpis) and an apparent expansion of the GSTX class (absent from Drosophila melanogaster and present in only two copies in each mosquito species genome). The large difference between the two sandfly species in the overall number of GST genes, almost twice as many in L. longipalpis than in P. papatasi, is mostly due to the greater number of delta‐ and xi‐class genes in L. longipalpis (Table 1, Figure 1). Each GST class is described in more detail below.
GST delta, epsilon and xi
The GST complements of D. melanogaster, Aedes aegypti and Anopheles gambiae are dominated by expanded GSTD and GSTE classes. These insect‐specific classes tend to occur in gene clusters (Ranson et al., 2002) and members of these classes are commonly associated with insecticide resistance (Han et al., 2016; Hu et al., 2014; Lu et al., 2016; Kouamo et al., 2021; Lumjuan et al., 2005, 2011; Mitchell et al., 2014; Ranson et al., 2001; Riveron et al., 2014; Zhang et al., 2016).
No putative GSTE genes were identified in either the P. papatasi or the L. longipalpis genome. The best matches based on reciprocal BLASTp searches using GSTE proteins as queries were to proteins defined as GSTD and GSTX.
Six genes (PPAI001211, PPAI006595, LLOJ007285, LLOJ004462, LLOJ004461, LLOJ004460) were identified as putative GSTD. Exon numbers and predicted protein sizes varied greatly among these genes and the gene models were carefully inspected. For P. papatasi, the PPAI001211 gene model was left unchanged and PPAI006595 edited to add two exons (new gene model denoted PPAI006595_a). For L. longipalpis, LLOJ007285 and LLOJ004462 were left unchanged. One gene (LLOJ004461) was very long and clearly consisted of multiple individual genes misanotated as a single gene. This was edited to split the gene and add and extend exons into seven complete individual genes (LLOJ004461_a–LLOJ004461_g). LLOJ004460 was edited and split into two incomplete genes (LLOJ004460_a, LLOJ004460_b) spanning sequencing gaps. LLOJ004460_a had an internal gap (spanning part of the second and third of its three exons). LLOJ004460_b had a gap at its 3′/C‐terminal end that covered part of the third of the three exons. After this extensive manual editing (Appendix S1), two GSTD genes were annotated in the P. papatasi genome and 11 were annotated in the L. longipalpis genome (Table 1, Tables S1 and S2, Figure S1).
GSTD genes occur in clusters in insect genomes. In D. melanogaster, one large cluster on chromosome 3R consists of GSTD10, D9, D1, D2, D3, D4, D5, D6, D7, D8, D11. The mosquito Ae. aegypti has two clusters on chromosome 1: GSTD7, D1, D2, D5 in one cluster and GSTD4, D3, D6, D11 in the other. An. gambiae has three clusters on chromosome 2R: GSTD7, D1, D2 in one, GSTD8, D9, D5 in another and GSTD11, D6, D12, D4, D3, D10 in another. The patterns seen in these species suggest a high rate of gene shuffling, with some conservation still detectable between more closely related mosquito species (e.g., GSTD7, D1, D2 in the two mosquitoes). The D. melanogaster GSTD cluster is flanked on one side by a gene encoding myosin light chain 2 V and a CUB‐domain containing gene (adjacent to GSTD11). Similarly, the Ae. aegypti cluster (GSTD7,1,2,5) and An. gambiae cluster (GSTD7,1,2) are both flanked by the myosin light chain 2 V gene on one side and a cadherin gene on the other (Figure 2). The sand fly GSTD genes were compared with these to try to elucidate their genomic distribution. In P. papatasi, PPAI001211 occurred on its own on scaffold JH662257.1; BLASTx identified no other genes on the scaffold. PPAI006595_a occurred on a scaffold with one other gene (BLASTx identified no other genes on the scaffold), a putative cadherin orthologous to cadherin genes that sit adjacent to GSTD5 (in Ae. aegypti) and GSTD2 (in An. gambiae), suggesting orthology with these two mosquito GSTD clusters (Figure 2). In L. longipalpis, LLOJ007285 occurred adjacent to a myosin light chain 2 V gene and a CUB‐domain containing gene, suggesting orthology with DmGSTD11, or with AaGSTD7 and AgGSTD7. The large cluster of 10 LlGSTD genes was flanked on one side by genes showing no orthology to flanking genes seen in the other species, so no clear inference can be drawn (Figure 2).
Two GST genes originally annotated as ‘unclassified’ in Anopheles gambiae (Ding et al., 2003) and labelled ‘GSTu2’ and ‘GSTu3’ (the ‘u’ here represents ‘unclassified’ and is not to be confused with the plant‐specific tau class GSTU proteins) were later designated as members of a novel, putatively mosquito‐specific class, xi (X), in An. gambiae and Aedes aegypti (Ding et al., 2003; Lumjuan et al., 2007). Phylogenetically, the GSTX class falls between GSTD and GSTE classes (Ding et al., 2003; Lumjuan et al., 2007).
Twenty‐one genes (PPAI008305, PPAI010868, PPAI010869, PPAI010870, PPAI010871, PPAI010872, LLOJ001842, LLOJ009529, LLOJ009528, LLOJ010488, LLOJ010539, LLOJ010538, LLOJ010537, LLOJ010536, LLOJ010535, LLOJ010534, LLOJ010533, LLOJ010532, LLOJ010530, LLOJ010531, LLOJ010963) were identified as putative GSTX. The genes varied greatly in size and were extensively edited (Appendix S1). In P. papatasi the six genes were edited to produce 11 genes (a possible twelfth, PPAI010871_e, could be identified but not reconstructed into a full‐length gene). Ten of these genes (PPAI010868, PPAI010869, PPAI010870_a‐c, PPAI010871_a‐d, PPAI010872; 11 including PPAI010871_e) formed a gene cluster on scaffold JH660956.1 while a single, partial gene (PPAI008305_a) was found on scaffold JH665757.1, a very small scaffold with no other annotated genes on it. Therefore, the evidence suggested a single gene cluster of GSTX in P. papatasi. In L. longipalpis the 15 genes were edited to produce 23 genes. Two large gene clusters were reconstructed: seven genes (LLOJ001842_a‐g) on scaffold JH690728 and 15 genes (LLOJ009529, LLOJ009528_a‐b, LLOJ010488, LLOJ010539, LLOJ010538, LLOJ010537, LLOJ010536, LLOJ010535_a, LLOJ010534, LLOJ010533_a, LLOJ010532, LLOJ010530, LLOJ010531_a‐b) on scaffold JH690204, with a single gene (LLOJ010963) on scaffold JH689654 (Table 1, Tables S1 and S2, Figure S1).
The GSTX gene cluster in P. papatasi (PPAI010868‐PPAI010872) and the larger of the two gene clusters in L. longipalpis (LLOJ009529‐LLOJ010531_b) are orthologous, occurring adjacent to two annotated RNA helicase genes (PPAI010873/PPAI010874 and LLOJ009530/LLOJ009531) and a tyrosine transporter gene (PPAI010875 and LLOJ009532) at one end (Figure 3). At the other end of the P. papatasi cluster is a large region with no annotated genes followed by two genes (PPAI010866, PPAI010867) that may both be fragments of a single gene encoding a transmembrane protein; its apparent orthologue in L. longipalpis (LLOJ002194) occurs alone on a scaffold (JH690844). The L. longipalpis gene cluster (LLOJ009529‐LLOJ010531_b) runs to the end of the scaffold, with no non‐GST gene flanking it. The other L. longipalpis gene cluster (LLOJ001842_a‐g) occurs alone on a scaffold (JH690728), so its position relative to the other gene cluster (whether it is distinct or forms part of the same gene cluster) cannot be determined. Overall, the data suggest an expansion of the GSTX class in the lineage leading to the sand flies, concentrated in one large gene cluster in both Phlebotomus and Lutzomyia genera, with a possible second cluster in Lutzomyia. The GSTX cluster in the sand flies is not clearly orthologous to the location of either of the single GSTX genes in the mosquitoes, possibly due to gene loss or genomic rearrangement in one or other lineage (Figure 3).
To further study the evolutionary relationship among the GSTE, D and X classes, a phylogeny of all of the proteins from these three classes from the two sand fly species, the mosquitoes Ae. aegypti and An. gambiae and the fruit fly D. melanogaster was constructed (Figure 4). Each GST class forms a separate clade in the tree and within the GSTX clade the sand fly GSTX proteins tend to cluster by species, with some exceptions. This pattern suggests recent independent GSTX gene expansions (or gene conversion among paralogous GSTX genes) in each sand fly lineage. For example, PPAI010870_a, _b, _c and _d all form part of a chromosomal gene cluster and all cluster together in the tree, suggesting they may have arisen by successive tandem duplication of genes (or gene conversion among adjacent genes of the cluster). Reflecting this pattern, the sand fly GSTX proteins showed greater similarity (in BLAST searches) to paralogous GSTXs than to any An. gambiae or Ae. aegypti GST genes: the closest matching An. gambiae or Ae. aegypti proteins were GSTX and GSTD in D. melanogaster (Tables S1 and S2). This pattern indicates that D. melanogaster lacks GSTX entirely and that GSTD is the next‐best match, as the percentage identity between sand fly GSTX and DmGSTD was only around 40% compared with around 60% for sand fly GSTD versus DmGSTD (Tables S1 and S2).
The GstX gene models differed between sand flies and mosquitoes (Figure 5). Mosquito GSTX genes typically had three exons and two introns (though AgGSTU3 lacked the second intron). Sand fly GSTX genes typically had 3 or 4 exons (with more of the 3‐exon form in P. papatasi and more of the 4‐exon form in L. longipalpis). The 4‐exon form shared intron 1 and 2 positions with the mosquito GSTX genes but had an additional novel intron in what is exon 2 (of the mosquito GSTXs). The 3‐exon form lacked what is intron 1 (of the mosquito GSTXs) but had the novel intron and shared (mosquito) intron 2.
GST iota, omega, sigma, theta, zeta and microsomal GSTs
A GST originally annotated as ‘unclassified’ in Anopheles gambiae (Ding et al., 2003) and labelled ‘GSTu1’ (the ‘u’ here represents ‘unclassified’ and is not to be confused with the plant‐specific tau class GSTU proteins) was later designated as a member of a novel class, iota, in An. gambiae and Aedes aegypti (Ding et al., 2003; Lumjuan et al., 2007). In the sand fly genomes, two genes (PPAI009870, LLOJ002711) were identified as putative GSTI. For P. papatasi, the PPAI009870 gene model was left unchanged. For L. longipalpis, LLOJ002711 was edited to form three incomplete genes (LLOJ002711_a ‐ LLOJ002711_c). The poor quality of the genome assembly at this region (the gene or genes crosses two sequencing gaps) mean that it is possible that these are not three distinct genes, but may be fragments of a single gene that is not fully collapsed in the assembly. This is supported by the observation that the overlapping regions are identical at the amino acid level (Appendix S1).
The best match in the D. melanogaster genome was to a ‘GST‐containing FLYWCH zinc‐finger protein’, gfzf (FBgn0250732) (Dai et al., 2004). The percentage identity was considerably higher to this gene (around 76%) than to the next‐best matches (around 44%). Two isoforms of the gfzf gene contain large exons upstream of the GST region that contain repeated FLYWCH zinc‐finger domains. One of these isoforms (from transcript FBtr0091512) was used to search the proteomes and genomes of the two sand flies in order to try to extend the gene models in those species. However, neither BLASTp nor tBLASTn searches could identify the non‐GST region of the gene. We therefore annotated the genes as GSTI, as defined by Lumjuan et al. (Lumjuan et al., 2007).
The GstI gene models differed between sand flies and mosquitoes (Figure 6). Both mosquito and sand fly GSTI genes had two exons and one intron, but the intron occurred in a different place in the mosquito and sand fly genes.
Two genes (PPAI000142, LLOJ009136) were identified as putative GSTO. Both gene models were edited (Appendix S1), to alter the boundaries of exons (LLOJ009136_a) and, for PPAI000142_a, the first half of the gene was found, unannotated, on a different scaffold (AJVK01076482.1) by a tBLASTn search. After editing, each sand fly genome contained 1 GSTO gene like An. gambiae and Aedes aegypti but unlike D. melanogaster, which has 4 (Table 1, Tables S1 and S2). The GstO gene models were largely the same between sand flies and mosquitoes with four exons and three introns (An. gambiae lacked a fourth exon) occurring at the same locations in the genes (Figure 7).
Three genes (PPAI002540, LLOJ009036, LLOJ009037) were identified as putative GSTS. PPAI002540 appeared to be a partial gene, lacking the first exon. The full‐length scaffold JH662805.1 up to the gene PPAI002540 was searched for evidence of the first exon of the gene but a BLASTx search of the six‐frame translation of the scaffold against Aedes aegypti and Anopheles gambiae predicted proteomes identified nothing. The scaffold was highly fragmented, with a lot of sequence gaps, which may account for this. A tBLASTn search of all P. papatasi contigs, using the N‐terminal region of the Anopheles gambiae gene identified exon 1, unannotated on another scaffold (AJVK01074729.1), allowing a putative full‐length protein (PPAI002540_a) to be reconstructed. LLOJ009036 and LLOJ009037 were adjacent to one another on the same scaffold, in a region containing sequencing gaps. LLOJ009036 was edited and appeared to consist only of the first exon of the gene (the partial gene denoted LLOJ009036_a). LLOJ009037 was left unchanged, and contained three exons, producing a full‐length protein. It is possible that both are fragments of a single gene that is not fully collapsed in the assembly (the amino acid sequence of LLOJ009036_a was identical to exon 1 of LLOJ009037). After editing (Appendix S1), it could be determined that each genome contained at least one GSTS gene.
Sand fly GstS genes shared most structural similarity with Ae. aegypti GstS isoform E and An. gambiae isoform A, lacking the additional upstream exon of Ae. aegypti GstS isoforms C and D and the final intron of Ae. aegypti GstS isoforms D and F and An. gambiae isoform B. However, they shared sequence similarity with both AaCE‐AgA‐type and AaDF‐AgB‐type isoforms in their C‐terminal regions, which in the mosquitoes are encoded by homologous but non‐overlapping exons. This pattern suggests that the mosquito isoforms may have arisen by duplication of these exons and that they remain un‐duplicated in the sand flies (Figure 8, Figure S2).
Six genes (PPAI003974, PPAI000341, LLOJ005757, LLOJ002025, LLOJ008830, LLOJ002682) were identified as putative GSTT. In P. papatasi, PPAI003974 was edited to reconstruct a full‐length, two‐exon gene (PPAI003974_a). The intron occurred downstream in the gene compared with other GSTT genes (Figure 9), but this gene model was also seen in the two‐exon L. longipalpis gene LLOJ005757 (which was left unchanged) and these genes were reciprocal best BLASTp matches. The three‐exon gene LLOJ002025 was left unchanged and two unusually long genes, LLOJ008830 (786 aa, nine exons) and LLOJ002682 (446 aa; six exons), were edited to reconstruct 3‐exon GSTT genes LLOJ008830_a (229 aa; three exons) and LLOJ002682_a (230 aa; three exons). These three genes shared their intron locations with a gene in Ae. aegypti (AAEL009017) and An. gambiae (AGAP000761). The P. papatasi gene PPAI000341 was edited (to PPAI000341_a) to alter the length of its first exon, producing a two‐exon gene. However, PPAI000341_a was shorter than other GSTT genes and its 3′ end did not align well, suggesting misannotation and a possible missing third exon (a nearby downstream gap may have prevented this being found). Downstream of this gap, a partial sequence matching the end of a GSTT was found (PPAI000341_b) and PPAI000341_a and PPAI000341_b may be a single gene, but they could not be reconstructed into a good single gene model. Overall, four GSTT genes were identified in the L. longipalpis genome and 2–3 in the P. papatsi genome (Table 1, Tables S1 and S2).
Three genes (PPAI006902, PPAI000943, LLOJ000305) were identified as putative GSTZ. Closer inspection (Appendix S1) suggested that PPAI006902 and PPAI000943 might be the start and end of the same gene (though missing an internal exon) on different scaffolds. LLOJ000305 was a complete gene. At the beginning of each gene, evidence of alternative splicing patterns could be seen allowing two protein isoforms to be reconstructed (as seen in Aedes and Anopheles orthologues). This suggested that a single GSTZ gene, encoding at least two protein isoforms, was present in each genome. In both sand fly genomes, the number and position of the introns differed from those seen in both mosquitoes (Figure 10).
Five genes (PPAI007443, LLOJ002060, LLOJ010490, LLOJ008423, LLOJ004345) were identified as putative microsomal GSTs. PPAI007443 was split into four separate genes (PPAI007443_a–PPAI007443_d). LLOJ002060 and LLOJ010490 were not changed. LLOJ004345 and LLOJ008423 were both edited but LLOJ008423_a remained incomplete, lacking a first exon possibly due to a sequencing gap upstream of the annotated exons. The four P. papatsi genes were all adjacent to one another on scaffold JH665380.1, as were LLOJ004345_a and LLOJ010490 (on scaffold JH689577). The other two L. longipalpis genes were on different scaffolds (LLOJ002060 on JH689469; LLOJ008423_a on JH690025). Overall, four microsomal GST genes were identified in the L. longipalpis genome and four in the P. papatsi genome (Table 1, Tables S1 and S2, Appendix S1). The gene models were largely the same between sand flies and mosquitoes (Figure 11).
DISCUSSION
We characterized the glutathione S‐transferase complement in the genomes of Phlebotomus papatasi and Lutzomyia longipalpis. From the study we drew two main conclusions: (i) accurate gene annotation in these species is difficult due to the fragmentary nature of the genome assemblies; (ii) the insect‐specific GST complement of these sand flies differs markedly from those of mosquitoes and of Drosophila melanogaster, with no GSTE class and an expansion of the GSTX class.
Overall, 23–25 GST genes were identified in P. papatasi and 44–47 in L. longipalpis, both within the typical range for insects but quite different from one another. It is difficult to conclude definitively if this difference in numbers is due to a real biological difference, or is an artefact of the differing quality of the two genome assemblies. The L. longipalpis assembly (11,532 scaffolds; N50 = 85,093) is much more contiguous than that of P. papatasi (106,826 scaffolds; N50 = 27,956), which may affect the number of GST genes identified in each genome. Genes are more likely to go unannotated in, or to be missing from more fragmented assemblies, and during manual editing of the GST gene annotations, we saw a number of cases of genes running into unsequenced assembly gaps in scaffolds and some cases of genes split across two scaffolds. These factors all affect the quality of genome annotation, so our estimates of gene numbers are necessarily cautious ones. With this in mind, we did try to find additional unannotated GST genes (using tBLASTn searching of the genome assemblies), which did identify some partial genes, though not large numbers. We did not, for example, find any unannotated GSTD genes in P. papatasi in addition to the two we annotated, though it remains a possibility that they exist on parts of the genome not represented in the assembly. Nor did we find any evidence for GSTE genes in either genome, lending weight to the conclusion that this class has been lost from the sand fly lineage.
Extensive manual editing and curation of the annotation of key gene families is often required in draft genome assemblies and is an important prerequisite for further analysis such RNAseq‐based gene expression profiling (Weedall et al., 2015). Here, the value of manual curation of the gene models and the draft status of the existing annotation are illustrated by the amount of editing that was required. In P. papatasi, only five gene models were left unedited while 20 resulted from manual editing. In L. longipalpis, 16 gene models were left unedited and 31 resulted from manual editing. This editing ranged from minor alteration of intron–exon boundaries to splitting of large ‘genes’ into multiple members of gene clusters. Additional genome sequencing to improve the genome assemblies, alongside RNAseq (Petrella et al., 2015) and sequencing of more sand fly genomes would markedly improve the genome annotation of these species.
Compared with Anopheles gambiae, Aedes aegypti and Drosophila melanogaster, the microsomal GSTs and the cytosolic GSTs found across the animal kingdom (GSTO, S, T, Z) showed similar numbers in the sand flies. The most striking contrasts were seen in the ‘insect‐specific’ expanded classes: the absence of the GSTE class from both sand fly genomes; the apparent reduction in the size of the GSTD class in P. papatasi (to two genes) but not L. longipalpis (11 genes); and the expansion of the GSTX class seen in both sand fly genomes (from two copies seen in the mosquitoes and none in D. melanogaster to 11–12 in P. papatasi and 23 in L. longipalpis). Given the importance of these insect‐specific GST classes in insecticide resistance, these differences may be important for understanding resistance in sand flies.
GSTEs play key roles in resistance to organochlorine, pyrethroid and organophosphate class insecticides in disease vector species including mosquitoes of the genera Anopheles and Aedes (Ranson et al., 2001; Lumjuan et al., 2005, 2011; Mitchell et al., 2014; Wilding et al., 2015; Kouamo et al., 2021; Riveron et al., 2014) and in agricultural pest species including the oriental fruit fly Bactrocera dorsalis (Hu et al., 2014; Lu et al., 2016), the Colorado potato beetle Leptinotarsa decemlineata (Han et al., 2016) and the tobacco cutworm moth Spodoptera litura (Zhang et al., 2016). GSTDs (two genes in P. papatsi and 11 in L. longipalpis) are also associated with resistance in many species, including B. dorsalis (Hu et al., 2014; Lu et al., 2016), L. decemlineata (Han et al., 2016), the diamondback moth Plutella xylostella (You et al., 2015), the red spider mite Tetranychus urticae (Pavlidi et al., 2015), the fungus gnat Bradysia odoriphaga (Tang et al., 2019; Tchouakui et al., 2019) and the mosquitoes Culex pipiens (Xu et al., 2017) and An. gambiae (Pavlidi et al., 2015; Isaacs et al., 2018). Given the importance of these GST classes, the apparent absence of GSTE from the genomes of the two sand fly species may affect their ability to evolve resistance to these insecticide classes, as might the apparent reduction in the size of the GSTD class in P. papatasi.
The fact that the GSTX class is expanded in both sand fly species suggests an adaptive role in sand fly evolution, yet their precise roles are not known, nor whether they may be involved in the detoxification of insecticides. It is interesting to speculate on whether GSTX may perform in the sand flies the roles performed by the related GSTE and GSTD classes in mosquitoes and other insects. The roles of the two GSTX genes (GSTX1 and GSTX2) of Aedes aegypti and Anopheles gambiae in metabolic insecticide resistance are unclear (Grant and Hammock, 1992; Lumjuan et al., 2007). While overexpression of GSTX2 (called GST‐2 in that study) in Ae. aegypti from South America was associated with DDT resistance (Grant and Hammock, 1992), a subsequent study found no catalytic activity of GSTX2 on DDT (Lumjuan et al., 2007). That study did, however, identify hematin binding activity in GSTX2, not previously seen in other GSTs, and the authors suggested a possible protective role of GSTX in blood‐feeding insects, such as the reduction of heme toxicity after a blood meal. A recent study on the sand fly vector of visceral Leishmaniasis, Phlebotomus argentipes, from Bihar, India reported the amplification, cloning and enzymatic characterization of a GST reported to be a GSTD (Hassan et al., 2021). P. argentipes populations have evolved DDT resistance in this region (Dinesh et al., 2021) and target site resistance mutations have been reported (Gomes et al., 2017) but no metabolic resistance mechanisms. Importantly in this regard, Hassan et al. (Hassan et al., 2021) showed that this protein could metabolize DDT in vitro, making it a key metabolic resistance candidate. Based on the GST family characterization work we report here, we found the best matches to this protein in P. papatasi and L. longipalpis are the class we have defined here as GSTX. Therefore, this would indicate that a P. argentipes GSTX can metabolize an insecticide, making proteins of this novel GST class key candidates for further study of metabolic resistance in sand flies. Further work is needed to functionally characterize the sand fly GSTX genes. This would include the full range of complementary approaches applied to the GST genes of other species, including in vitro characterization of enzyme activity (Lumjuan et al., 2005; Riveron et al., 2014; Mitchell et al., 2014), in vivo heterologous protein expression in a model organism (Riveron et al., 2014; Mitchell et al., 2014), gene silencing in vivo (Kouamo et al., 2021; Lumjuan et al., 2011), protein structure analysis and 3D modelling (Wang et al., 2008; Riveron et al., 2014; Mitchell et al., 2014) and gene expression and population genetic analyses (Riveron et al., 2014; Weedall et al., 2019; Kouamo et al., 2021; Ranson et al., 2001; Lumjuan et al., 2005; Weedall et al., 2020; Anopheles gambiae 1000 Genomes Consortium, 2017). Together, these would allow us to further elucidate the biological roles of the novel GSTX class and its potential to confer insecticide resistance in sand flies.
The work presented here, alongside ongoing work to define the cytochrome P450 monooxygenase and carboxylesterase families in these genomes (in preparation), will provide a basis for further study of metabolic resistance mechanisms in these important vectors of Leishmaniasis.
Experimental procedures
Two well‐annotated mosquito species, Aedes aegypti (Liverpool strain) (Matthews et al., 2018) and Anopheles gambiae (PEST strain) (Holt et al., 2002), were used to generate initial GST protein lists to query the predicted proteomes of two sand fly species, Phlebotomus papatasi (Israel strain) and Lutzomyia longipalpis (Jacobina strain), in VectorBase (Megy et al., 2012) (https://www.vectorbase.org/). This was done using BLASTp with default parameters and search results defined initial gene family candidate lists for each sandfly species. These lists were filtered by reciprocal BLASTp searching against Ae. aegypti, An. gambiae and D. melanogaster predicted proteomes, retaining genes with best matches to GSTs and removing genes with best matches to other gene families.
Protein lengths and exons numbers were recorded for candidate GST genes in sand flies and for their best matches in the mosquito species and D. melanogaster. Where sand fly and mosquito homologues showed strikingly different gene length or exon number, misannotation of the sandfly gene was suspected and gene models were manually edited. This process was guided by sequence alignments of the sand fly, mosquito and fruit fly genes and proteins made using the MUSCLE algorithm (Edgar, 2004) implemented in Seaview version 4.5.4 (Gouy, Guindon and Gascuel, 2010; Petrella et al., 2015). These alignments helped identify missing or truncated exons in the sand fly genomes, which were edited and new gene models checked using the ExPASy translate tool (Artimo et al., 2012) (https://web.expasy.org/translate/) to ensure they encoded full‐length open‐reading frames. BLASTp was used to determine the best matches of these edited sandfly genes in other insect species and this information was used to assign each GST to a class. In addition to protein versus protein BLASTp searches, sand fly DNA versus non‐sand fly protein BLASTx searching was used to identify unannotated sand fly exons, and non‐sand fly GST protein versus sand fly genomic DNA tBLASTn searches to locate unannotated genes. All BLAST searches were carried out in vEuPathDB/Vectorbase (Megy et al., 2012) (https://www.vectorbase.org/).
Phylogenetic analysis of sequence alignments was implemented in Seaview (Gouy, Guindon and Gascuel, 2010; Petrella et al., 2015), using the Neighbour Joining method with Poisson distances and 100 bootstrap replicates. Trees were visualized using iTol (Letunic and Bork, 2021).
CONFLICT OF INTEREST
There are no conflicts of interest to declare among the authors of the manuscript.
Supporting information
ACKNOWLEDGEMENTS
The work was carried out as part of FA's research project for the MSc in the Biology of Health and Disease at LJMU.
Ashraf, F. & Weedall, G.D. (2022) Characterization of the glutathione S‐transferase genes in the sand flies Phlebotomus papatasi and Lutzomyia longipalpis shows expansion of the novel glutathione S‐transferase xi (X) class. Insect Molecular Biology, 31(4), 417–433. Available from: 10.1111/imb.12769
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available in VEuPathDB at https://veupathdb.org/veupathdb/app.
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Associated Data
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Supplementary Materials
Data Availability Statement
The data that support the findings of this study are available in VEuPathDB at https://veupathdb.org/veupathdb/app.