Literature DB >> 33958611

Diversification, selective sweep, and body size in the invasive Palearctic alfalfa weevil infected with Wolbachia.

Midori Tuda1,2, Shun-Ichiro Iwase3,4, Khadim Kébé5, Julien Haran6, Jiri Skuhrovec7, Ehsan Sanaei8, Naomichi Tsuji9, Attila Podlussány10, Ottó Merkl10, Ahmed H El-Heneidy11, Katsura Morimoto12.   

Abstract

The alfalfa weevil Hypera postica, native to the Western Palearctic, is an invasive legume pest with two divergent mitochondrial clades in its invading regions, the Western clade and the Eastern/Egyptian clade. However, knowledge regarding the native populations is limited. The Western clade is infected with the endosymbiotic bacteria Wolbachia that cause cytoplasmic incompatibility in host weevils. Our aim was to elucidate the spatial genetic structure of this insect and the effect of Wolbachia on its population diversity. We analyzed two mitochondrial and two nuclear genes of the weevil from its native ranges. The Western clade was distributed in western/central Europe, whereas the Eastern/Egyptian clade was distributed from the Mediterranean basin to central Asia. Intermediate mitotypes were found from the Balkans to central Asia. Most Western clade individuals in western Europe were infected with an identical Wolbachia strain. Mitochondrial genetic diversity of the infected individuals was minimal. The infected clades demonstrated a higher nonsynonymous/synonymous substitution rate ratio than the uninfected clades, suggesting a higher fixation of nonsynonymous mutations due to a selective sweep by Wolbachia. Trans-Mediterranean and within-European dispersal routes were supported. We suggest that the ancestral populations diversified by geographic isolation due to glaciations and that the diversity was reduced in the west by a recent Wolbachia-driven sweep(s). The intermediate clade exhibited a body size and host plant that differed from the other clades. Pros and cons of the possible use of infected-clade males to control uninfected populations are discussed.

Entities:  

Year:  2021        PMID: 33958611      PMCID: PMC8102540          DOI: 10.1038/s41598-021-88770-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Recent invasion events and routes of alien agricultural pests are of particular importance for the management and control of pests[1-6]. The knowledge of historical diversification and dispersal of agricultural pests in their native range provides insights to understand their natural and biological selective environments, including the role played by endosymbionts in pest emergence[7-9]. The alfalfa weevil Hypera postica (Gyllenhal) (Coleoptera: Curculionidae: Hyperini), native to the Western Palearctic region, is a serious pest of alfalfa and other beneficial legumes in its invading territories, such as Medicago, Vicia, Trifolium, and Astragalus[10-12] (Nearctic, Japan, Southeast Asia, and Oceania[13-15]). Invading populations in the USA comprise the Western (North American) type that invaded Utah in 1904[16], the Egyptian type that invaded Arizona in 1939[17], and the Eastern (North American) type that invaded Maryland in 1951[18]. These types are different in their ecological, behavioral, and defensive traits (pupation site and aggregation during aestivation[13], defensive behavior[19], and encapsulation of immature endoparasitoid[20-22]) but are morphologically indistinguishable. Allozyme and mitochondrial DNA markers distinguish the Western type from the Egyptian and Eastern types[22-24], whereas the Egyptian and Eastern types are distinguishable only by a slight difference (1–2 SNPs in tRNA) in a mitochondrial gene sequence[22,24,25]. The nuclear DNA polymorphism indicates that the three types share a gene pool, namely, a single species[25,26]. They also mate with each other to reproduce (but see later for incompatibility[27,28]). Wolbachia (Alphaproteobacteria: Rickettsiales: Rickettsiaceae) are maternally (vertically) transmitted intracellular bacteria that infect approximately 40% of insects and other arthropods alongside nematodes[29]. These endosymbiotic bacteria can manipulate host reproduction via reproductive cells and the genetic mechanism of this manipulation has recently been uncovered[30]. Cytoplasmic incompatibility (CI), or postzygotic incompatibility between infected and uninfected gametes, is the most commonly observed phenotype of Wolbachia. Theoretically, bidirectional CI most strongly accelerates host speciation. Unidirectional CI, or postzygotic isolation of gametes between infected males and uninfected females, can also promote host speciation. While infection by Wolbachia is favored in females in populations with high Wolbachia prevalence, loss of Wolbachia can also occur through incomplete inheritance from mothers with low Wolbachia density[29]. The loss (or incomplete transmission) rate of Wolbachia in insect hosts is slightly higher than the gain rate[31]. Maternal transmission and unidirectional CI eventually reduce host mitochondrial diversity over generations. The selective sweep of mitochondria leads to a close association between the mitochondrial clade and Wolbachia infection[32-35]. Several studies have discovered that Wolbachia may also accelerate the fixation of nonsynonymous mutations in hosts[29,36-38]. Various positive fitness effects of endosymbionts on their hosts have been revealed, such as viral suppression and metabolic provisioning[39,40]. The effect of endosymbionts on maternal mitochondria may also influence coevolution between mitochondria and nuclear genomes[41,42]. In H. postica, the Western clade is found to be infected by Wolbachia that induces unidirectional CI[27,43,44]. Several invading populations of the Western clade are free of Wolbachia, and a cross between uninfected Western males and Egyptian/Eastern females within these populations does produce viable offspring[28]. This reconfirms that these clades, while genetically distant, remain conspecific. The CI effect between infected Western males and uninfected Eastern females is almost perfect (only 0.1% of hybrid eggs hatch), while 29.5% of hybrid eggs between uninfected Eastern males and infected Western females hatch[27]. The presence of diverged clades and Wolbachia infection history in Palearctic H. postica in its primary range is not known to date. Here, this study aims to explore the process of selection and diversification in H. postica in its native range by revealing and testing mitochondrial and nuclear genetic variation geographically and phylogenetically. We also aim to test if the endosymbiont Wolbachia affected evolution in host weevils. The benefits and risks of the Incompatible Insect Technique[45] using infected clade males to control the uninfected clade populations are discussed.

Results

Haplotype networks and diversity

Sequenced segments were 2001 bp; 527 bp for COI-tRNA-COII, 281 bp for Cyt b-tRNA-ND1 (n = 149), 801 bp for 28S (n = 122) and 392 bp for EF-1α (n = 62) (Table 1). Despite our sizable effort, PCR failed for nuclear gene segments (especially EF-1α) for a part of the specimens. The mitotype network revealed two main clades alongside intermediate variants (Fig. 1). The first group corresponded to the Eastern/Egyptian clade (Fig. 1) and consisted of diverse mitotypes with multiple connections, which contributed to a high mitochondrial genetic diversity (Table 2). This clade was widely distributed from central Asia to the Mediterranean region (Fig. 2). Within this clade, populations from the Balkan peninsula displayed high mitochondrial and nuclear genetic diversity (Table 3). The second clade corresponded to the Western clade and exhibited substantially fewer mitotypes, one dominant mitotype and rarer, closely related mitotypes in a star-shape topology, which corresponds to low genetic diversity in both gene fragments (Fig. 1, Table 2). This clade was distributed in western and central Europe, north of the Alps and Pyrenees (Fig. 2). Within this clade, 50.0% of individuals and 50.0% of populations were infected with Wolbachia (Fig. 2). The Wolbachia-infected populations demonstrated lower mitochondrial and nuclear genetic diversity than the uninfected populations (Table 2). Compared with the uninfected Eastern/Egyptian clade, the infected Western clade displayed 22 (Cyt b-tRNA-ND1) to 82 (COI-tRNA-COII) times lower mitochondrial genetic diversity (Table 2). The intermediate clade was distributed from the Balkans to central Asia (Fig. 2). The network for the nuclear fragments, 28S and EF-1α, appeared incongruent with the mitochondrial network (Figs. 1, 3), but as in mitotype variation, there was a significant difference in nuclear haplotype variation between individuals belonging to the different mitochondrial clades (EF-1α, Table 2).
Table 1

Sample collection information for Hypera postica.CO: COI-tRNA-COII. CB: Cyt b-tRNA-ND1.

Number on the mapCodeCollection sitenYearLatitude, longitudeGenBank accession Mitochondrial genesGenBank accession Nuclear genes
Western Europe
1CzPrague, Czech Republic5201250°05′16′'N,14°17′54′'EKX372573 (CO), KX372620 (CB)KX372667 (28S), MW392102 (EF1α)
2NeAmsterdam, the Netherlands2201452°21′35′'N,4°57′00′'EMW393903 (CO), MW393922 (CB)MW383444 (28S), MW389094 (EF1α)
3PoNida Basin, Poland2201250°24′N,20°38′EMW393912 (CO), MW393931 (CB)MW383460 (28S), MW389110 (EF1α)
4LitDaugavpils, Latvia2200755°52′ N,26°27′EMW393914 (CO), MW393933 (CB)
Central Europe
5BuHBudapest, Hungary4201247°28′41" N,19°01′00" EMW393904 (CO), MW393923 (CB)MW383445 (28S), MW389095 (EF1α)
6AdHAdyliget, Budapest, Hungary9201447°32′40" N,18°55′58" EKX372574–75 (CO), KX372621–22 (CB)MW383446 (28S), MW389096 (EF1α)
France
7ChFChaussy, France4201349°07′12"N, 1°42′02"EMW393905 (CO), MW393924 (CB)MW383448 (28S), MW389098 (EF1α)
8OrFOrléans, France12201347°53′59"N, 1°56′24"EMW393906,16 (CO), MW393925,35 (CB)MW383449,62 (28S), MW389099,112 (EF1α)
9AuFAuradé, France3201443°33′36"N, 1°03′01"EKX372576 (CO), KX372623 (CB)MW383447 (28S), MW389097 (EF1α)
10ComFCombaillaux, France9201643°40′12"N,3°46′47"EMW393915 (CO), MW393934 (CB)
11AlpFSaint-Paul-sur-Ubaye, France2201044°31′12"N, 6°45′02"EKX372579 (CO), KX372626 (CB)MW383450 (28S), MW389100 (EF1α)
12CorFCasamozza, Corse Island, France5201642°30′35"N,9°26′23"EMW393910 (CO), MW393929 (CB)MW383458 (28S), MW389108 (EF1α)
Spain
13SpLa Cañada, Spain6201440°36′00"N,4°30′35"WKX372577,82 (CO), KX372624,29 (CB)MW383452,61 (28S), MW389102,11 (EF1α)
Balkans and Italy
14MaItMaremma, Toscana, Italy3201542°38′17"N, 11°07′29"EMW393913 (CO), MW393932 (CB)
15PuItPuglia, Italy2200241°04′N,16°26′EKX372599–600 (CO), KX372646,47 (CB)MW383455 (28S), MW389105 (EF1α)
16GrSparti, Peloponnese, Greece5200536°51′ N, 22°39′ EKX372586–87,614–16 (CO), KX372633–34,61–63 (CB)
17RoCrucea, Romania5200944°31′12" N, 28°11′59" EKX372588,96–98,617 (CO), KX372635,43–45,64 (CB)
18KnBuKnezha, Bulgaria10201643°28′48" N, 24°03′36" EMW393917 (CO), MW393936 (CB)
19LoBuLozitsa, Bulgaria8201643°34′48"N, 25°00′01"EMW393918 (CO), MW393937 (CB)
20CrZagreb, Croatia2200645°50′35" N, 15°44′55" EKX372578 (CO), KX372625 (CB)
Africa
21faMoOuzoud falls, Morocco10201632°00′54"N,6°43′24"WMW393909 (CO), MW393928 (CB)MW383457 (28S), MW389107 (EF1α)
22OuMoOuarzazate, Morocco2199430°56′N, 6°56′WKX372589,618 (CO), KX372636,65 (CB)
23LiBenghazi, Libya5198032°03′N,20°09′EKX372603–04,13 (CO), KX372650–51,60 (CB)
24EgSakha, Kafr El-Sheikh Governorate, Egypt3201331°05′13" N, 30°56′56" EKX372580, MW393907 (CO), KX372627, MW393926 (CB)MW383451 (28S), MW389101 (EF1α)
Middle East and central Asia
25IsrGa’ash, Israel2201432°13′48"N, 34°49′12"EKX372590 (CO), KX372637 (CB)MW383453 (28S), MW389103 (EF1α)
26TurCatalan vill., Adana, Turkey4200237°15′01" N, 35°18′10" EKX372581,601–02, MW393908 (CO), KX372628,48–49, MW393927 (CB)
27ArMetsamor, Armenia2201340°09′19"N, 44°07′30"EKX372606 (CO), KX372653 (CB)MW383456 (28S), MW389106 (EF1α)
28AzIrAzerbaijan, Iran2199937°56′ N, 47°23′ EKX372584–85 (CO), KX372631–32 (CB)
29TaIrTaleghan, Iran8201536°12′12"N,50°51′47"EMW393919 (CO), MW393938 (CB)
30HaIrHamedan, Iran3201434°31′16"N,48°18′43"EMW393911 (CO), MW393930 (CB)MW383459 (28S), MW389109 (EF1α)
31FaIrDasht-E-Arzhan, Zagros Mts., Fars Prov., Iran2200029°34′ N, 51°56′ EKX372608–09 (CO), KX372655–56 (CB)
32TmAnau, Turkmenistan2198837°54′N,58°30′EMW393920 (CO), MW393939 (CB)
33KyJangy-Talap, Kyrgyzstan4201541°27′01"N, 75°01′12"EKX372592 (CO), KX372639 (CB)MW383454 (28S), MW389104 (EF1α)
Figure 1

Statistical parsimony network of mitochondrial COI-tRNA-COII and Cyt b-tRNA-ND1 of Hypera postica in its native range. Generated using TCS 1.21[80].

Table 2

Mitochondrial and nuclear genetic diversity of the two clades (the Western and the Egyptian/Eastern) and the intermediate clades in Hypera postica. п: mean number of pairwise differences; nucleotide diversity (average over loci) (mean ± SD). The genetic distance was calculated based on pairwise differences. Numbers in parentheses are sample sizes (pooled number of individuals, number of populations). The same letters within each column (gene segment) indicate no significant difference between clades (p > 0.01). For population-wise mitochondrial and nuclear diversities and distances, see Supplementary Tables S1 and S2.

MitochondriaNuclear
COI-tRNALeu-COIICyt b-tRNASer-ND128SEF-1α
Clade (Wolbachia infection)пNucleotide diversityпNucleotide diversityпNucleotide diversityпNucleotide diversity
Western (infected)0.074 ± 0.150 (27, 6)0.00014 ± 0.00031a0.148 ± 0.217 (27, 6)0.00053 ± 0.00086a0.262 ± 0.299 (27, 6)0.00033 ± 0.00042a3.134 ± 1.689 (22, 5)0.00802 ± 0.00482a
Western (uninfected)3.481 ± 1.832 (27, 6)0.00661 ± 0.003870.729 ± 0.560 (27, 6)0.00260 ± 0.002221.057 ± 0.724 (25, 6)0.00132 ± 0.001016.107 ± 3.251 (8, 3)0.01554 ± 0.00942
Egyptian/Eastern (uninfected)6.057 ± 2.917 (74, 23)0.01149 ± 0.00614b3.295 ± 1.714 (74, 23)0.01173 ± 0.00676b1.052 ± 0.708 (60, 20)0.00131 ± 0.00098a5.335 ± 2.646 (31, 12)0.01334 ± 0.00736b
Intermediate (uninfected)10.300 ± 4.897 (21, 4)0.01955 ± 0.01037c0.733 ± 0.567 (21, 4)0.00261 ± 0.00225c2.111 ± 1.282 (10, 3)0.00264 ± 0.00181a0 (1, 1)0ab
Among-clade variation (df = 2), p72.53%, < 0.0000187.60%, < 0.000013.34%, 0.01686.50%, 0.0544
Figure 2

Geographic distribution of mitochondrial clades of Hypera postica in its native range. Pie chart sizes for clades are proportional to sample sizes. Wolbachia infection (dark gray ring: infected; white (partial) ring: uninfected) is only indicated for the Western clade individuals because none of the Egyptian/Eastern clade or the intermediate clade were infected. The background map was obtained from Fotolla, https://stock.adobe.com/jp/photos/.

Table 3

Mitochondrial and nuclear genetic diversity in Hypera postica based on geographic regions. п (mean number of pairwise differences); nucleotide diversity (average over loci) (mean ± SD). Bolded genetic diversity indices indicate the highest diversity for each gene segment. Numbers in parentheses are sample sizes (pooled number of individuals, number of sampled populations). See Table 1 for the country codes. For population-wise mitochondrial and nuclear diversities and distances, see Supplementary Tables S1 and S2.

Geographic region (country)MitochondriaNuclear
COI-tRNALeu-COIICyt b-tRNASer-ND128SEF-1α
пNucleotide diversityпNucleotide diversityпNucleotide diversityпNucleotide diversity
Western Europe (Cz, Ne, Lit, Po)0.51 ± 0.46 (11, 4)0.0010 ± 0.00100.18 ± 0.25 (11, 4)0.0006 ± 0.00100.40 ± 0.40 (10, 4)0.0005 ± 0.00063.07 ± 1.85 (6, 2)0.0078 ± 0.0055
France (Fr)9.92 ± 4.65 (35, 6)0.0188 ± 0.00987.06 ± 3.40 (35, 6)0.0251 ± 0.01340.58 ± 0.48 (35, 6)0.0007 ± 0.00074.48 ± 2.30 (21, 6)0.0112 ± 0.0064
Spain (Sp)9.13 ± 4.90 (6, 1)0.0173 ± 0.01078.47 ± 4.57 (6, 1)0.0301 ± 0.01880.93 ± 0.74 (6, 1)0.0012 ± 0.00112.67 ± 1.65 (6, 1)0.0068 ± 0.0049
Central Europe (H)0.00 ± 0.00 (13, 2)0.0000 ± 0.00000.31 ± 0.34 (13, 2)0.0011 ± 0.00140.73 ± 0.58 (12, 2)0.0009 ± 0.00086.10 ± 3.30 (7, 2)0.0155 ± 0.0096
Balkan and Italy (Gr, Bu, Ro, Cr, It)15.53 ± 7.10 (35, 7)0.0295 ± 0.01505.08 ± 2.53 (35, 7)0.0181 ± 0.01001.32 ± 0.85 (23, 7)0.0016 ± 0.00126.00 ± 4.58 (2, 2)0.0153 ± 0.0166
Africa (Mo, Lib, Eg)4.23 ± 2.19 (20, 4)0.0080 ± 0.00462.58 ± 1.44 (20, 4)0.0092 ± 0.00571.00 ± 0.71 (16, 4)0.0012 ± 0.00104.62 ± 2.42 (13, 3)0.0117 ± 0.0069
Middle East and central Asia (Isr, Ir, Ar, Tur, Tm, Ky)10.23 ± 4.81 (29, 9)0.0194 ± 0.01023.08 ± 1.65 (29, 9)0.0110 ± 0.00651.08 ± 0.74 (20, 8)0.0013 ± 0.00105.05 ± 2.79 (7, 4)0.0129 ± 0.0082
Among geographic region variation, p36.6%, < 0.0000163.0%, < 0.0000113.0%, < 0.000019.2%, 0.00198
Figure 3

Statistical parsimony network of nuclear 28S and EF-1α. See Fig. 1 for colors for regions. Generated using TCS 1.21[80].

Sample collection information for Hypera postica.CO: COI-tRNA-COII. CB: Cyt b-tRNA-ND1. Statistical parsimony network of mitochondrial COI-tRNA-COII and Cyt b-tRNA-ND1 of Hypera postica in its native range. Generated using TCS 1.21[80]. Mitochondrial and nuclear genetic diversity of the two clades (the Western and the Egyptian/Eastern) and the intermediate clades in Hypera postica. п: mean number of pairwise differences; nucleotide diversity (average over loci) (mean ± SD). The genetic distance was calculated based on pairwise differences. Numbers in parentheses are sample sizes (pooled number of individuals, number of populations). The same letters within each column (gene segment) indicate no significant difference between clades (p > 0.01). For population-wise mitochondrial and nuclear diversities and distances, see Supplementary Tables S1 and S2. Geographic distribution of mitochondrial clades of Hypera postica in its native range. Pie chart sizes for clades are proportional to sample sizes. Wolbachia infection (dark gray ring: infected; white (partial) ring: uninfected) is only indicated for the Western clade individuals because none of the Egyptian/Eastern clade or the intermediate clade were infected. The background map was obtained from Fotolla, https://stock.adobe.com/jp/photos/. Mitochondrial and nuclear genetic diversity in Hypera postica based on geographic regions. п (mean number of pairwise differences); nucleotide diversity (average over loci) (mean ± SD). Bolded genetic diversity indices indicate the highest diversity for each gene segment. Numbers in parentheses are sample sizes (pooled number of individuals, number of sampled populations). See Table 1 for the country codes. For population-wise mitochondrial and nuclear diversities and distances, see Supplementary Tables S1 and S2. Statistical parsimony network of nuclear 28S and EF-1α. See Fig. 1 for colors for regions. Generated using TCS 1.21[80].

Wolbachia infection

The Western clade individuals in northern France, the Netherlands, the Czech Republic, and Poland were infected with Wolbachia (Fig. 2), and all of them had identical ftsZ (699 bp), coxA (432 bp), and hcpA (463 bp) sequences as reported previously[46], which corresponds to the prevailing strain wHypera1[47]. In contrast, Western clade individuals found in coastal southern France, Spain, Latvia, Hungary, and Croatia were uninfected (Fig. 2). Additionally, we confirmed that Wolbachia was absent from all native populations studied in the Eastern/Egyptian clade. A reconstructed phylogenetic relationship confirms that wHypera1 belongs to Supergroup B (Fig. 4). The Wolbachia strain closest to wHypera1 to date is the one that infects the mite Bryobia praetiosa (Acari: Tetranychidae)[48].
Figure 4

Bayesian consensus tree of Wolbachia strain based on ftsZ, coxA, and hcpA. Strain codes, if available, followed by host species and Wolbachia supergroups are shown. The Wolbachia strain, wHypera1, infecting Hypera postica in its native range, is shown in bold. Bayesian support values (posterior probabilities > 0.7) are shown near nodes. The outgroup is Anaplasma marginale (Alphaproteobacteria: Rickettsiales: Anaplasmataceae). Generated using MrBayes 3.2.6[73]. Host strains, Wolbachia isolates and GenBank accession numbers are listed in Supplementary Table S3.

Bayesian consensus tree of Wolbachia strain based on ftsZ, coxA, and hcpA. Strain codes, if available, followed by host species and Wolbachia supergroups are shown. The Wolbachia strain, wHypera1, infecting Hypera postica in its native range, is shown in bold. Bayesian support values (posterior probabilities > 0.7) are shown near nodes. The outgroup is Anaplasma marginale (Alphaproteobacteria: Rickettsiales: Anaplasmataceae). Generated using MrBayes 3.2.6[73]. Host strains, Wolbachia isolates and GenBank accession numbers are listed in Supplementary Table S3.

Body size

Elytral length was significantly different among different clades (χ22 = 10.96, p = 0.004) and between sexes (χ21 = 7.52, p = 0.006) and marginally different between infected and uninfected individuals (χ21 = 3.77, p = 0.052). The elytron was longer in the intermediate variants (3.83 ± 0.110 mm, mean ± SE, n = 21) than in the Egyptian/Eastern (3.48 ± 0.025 mm, n = 64, p = 0.003) and Western (3.50 ± 0.057 mm, n = 29, p = 0.041) clades (no difference between the Egyptian/Eastern and Western clades, p = 0.934), longer in females (3.62 ± 0.042 mm, n = 60) than in males (3.47 ± 0.044 mm, n = 52), and marginally longer in uninfected individuals (3.57 ± 0.032 mm, n = 102) than in infected individuals (3.36 ± 0.111 mm, n = 11).

Selective neutrality test and positive selection test

For the Western clade, selective neutrality for mitochondrial segments was rejected by all indexes with minus values (D, D*, and F*), while for nuclear genes, selective neutrality was rejected by none of the indices (Table 4), suggesting recent sudden population growth after bottleneck event(s) in the mitochondrial lineage. For the Eastern/Egyptian clade, selective neutrality for both mitochondrial and nuclear segments was rejected by all indexes (Table 4), suggesting recent sudden population growth after bottleneck event(s) in the mitochondrial lineage and nuclear variants. For the intermediate clade, selective neutrality for mitochondrial segments was rejected by none of the indexes (Table 4). Selective neutrality for nuclear segments was untested because of the insufficient sample size.
Table 4

Selective neutrality test results on mitochondrial and nuclear segments. D: Tajima's D; D* and F*: Fu and Li's D* and F*.

CladeMitochondriaNuclear
D (p)D* (p)F* (p)nD (p)D* (p)F* (p)n
Western − 2.389 (0) − 3.371 (0.0015) − 3.302 (0.001023 − 0.822 (0.152) − 0.547 (0.267) − 0.606 (0.240)15
Egyptian/Eastern − 1.510 (0.039) − 2.872 (0.0175) − 2.673 (0.018)39 − 1.491 (0.0255) − 2.007 (0.0125) − 1.959 (0.0165)19
Intermediate0.695 (0.763)0.566 (0.707)0.596 (0.719)6
Selective neutrality test results on mitochondrial and nuclear segments. D: Tajima's D; D* and F*: Fu and Li's D* and F*. A model with different ω (dN/dS) assigned for infected and uninfected clades improved the model fit most, compared to models with different ω for two or three different clades, although the improvement was nonsignificant (Table 5). The ω for infected clade was three times higher than the ω for uninfected clade even though both were < 1 (Table 5).
Table 5

Test of positive selection on the Hypera postica phylogeny. Root: Brachypera zoilus and H. miles. W: Western. E: Egyptian/Eastern. Inf: infected by Wolbachia. Uninf: uninfected by Wolbachia. ΔlnL: difference in log likelihood (lnL) of each model from the model with a same single ω for W, intermediate, and E clades (i.e., the ‘Root and W/intermediate/E’ model as a reference model). Δdf: difference of each model in degree of freedom (df) from the model with a same single ω for W, intermediate, and E clades. The – symbol: the same ω value as the one on the left.

Model (number of ω)RootEIntermediateWInfW2ΔlnLΔdfp
Root and W/intermediate/E (2)0.01030.0578001.000
Root, W and intermediate/E (3)0.01030.05750.0590011.000
Root, W/intermediate and E (3)0.01040.05410.06401.5010.221
Root, InfW and UninfW/intermediate/E (3)0.01030.05710.17091.8010.180
Root, InfW, UninfW and intermediate/E (4)0.01030.05750.05540.17091.8220.403
Root, InfW, UninfW/intermediate and E (4)0.01040.05410.06200.17090.7220.698
Test of positive selection on the Hypera postica phylogeny. Root: Brachypera zoilus and H. miles. W: Western. E: Egyptian/Eastern. Inf: infected by Wolbachia. Uninf: uninfected by Wolbachia. ΔlnL: difference in log likelihood (lnL) of each model from the model with a same single ω for W, intermediate, and E clades (i.e., the ‘Root and W/intermediate/E’ model as a reference model). Δdf: difference of each model in degree of freedom (df) from the model with a same single ω for W, intermediate, and E clades. The – symbol: the same ω value as the one on the left.

Geographic history

Isolation by distance

Isolation by distance (IBD) was supported for all populations (p = 0.003, number of pairwise comparisons n = 528) and for the Eastern/Egyptian clade excluding populations with intermediate mitotypes (p = 0.050, n = 153), but not for the Western clade (p = 0.102, n = 55). When the populations with intermediate mitotypes were included, the IBD within the Eastern/Egyptian clade was not supported (p = 0.215, n = 231).

Phylogeography

Based on available samples, the Balkan/Italian peninsulas and the Middle East are the most likely area of the origin of H. postica, from which the Western clade diversified via France (Fig. 5a). France is the likely area where the ancestral population was first infected with Wolbachia (Fig. 5a, right). We found two connections between regions that were highly supported with BF > 3: France and western Europe (BF = 7.98) and Balkan/Italy and North Africa (BF = 7.90) (BSSVS analysis, Fig. 5b).
Figure 5

(a) The maximum clade credibility (MCC) tree of Hypera postica resulting from a discrete Bayesian phylogeographic analysis, based on one sample per clade per country. The outgroup is H. miles. The nodes and branches are colored according to the most probable region (left panel; see Fig. 1 for colors indicating geographic regions and Table 1 for the country codes) and Wolbachia infection state (right panel; red line: infected). The numbers on the nodes indicate posterior probabilities of the most likely ancestral states [geographic region (left panel) or Wolbachia infection state (right panel)]. Generated using BEAST 1.10.4[90] and visualized using FigTree 1.4.4 (http://tree.bio.ed.ac.uk/software/figtree/). (b) Map of colonization routes of H. postica. Thick lines: supported by BF (Bayes factor) > 7.0. Generated using SpreaD3 v0.9.7.1rc[92] and visualized using Google Earth 7.3.0 (https://www.google.com/earth/).

(a) The maximum clade credibility (MCC) tree of Hypera postica resulting from a discrete Bayesian phylogeographic analysis, based on one sample per clade per country. The outgroup is H. miles. The nodes and branches are colored according to the most probable region (left panel; see Fig. 1 for colors indicating geographic regions and Table 1 for the country codes) and Wolbachia infection state (right panel; red line: infected). The numbers on the nodes indicate posterior probabilities of the most likely ancestral states [geographic region (left panel) or Wolbachia infection state (right panel)]. Generated using BEAST 1.10.4[90] and visualized using FigTree 1.4.4 (http://tree.bio.ed.ac.uk/software/figtree/). (b) Map of colonization routes of H. postica. Thick lines: supported by BF (Bayes factor) > 7.0. Generated using SpreaD3 v0.9.7.1rc[92] and visualized using Google Earth 7.3.0 (https://www.google.com/earth/).

Discussion

This study revealed the large-scale geographic distribution and genetic diversity of H. postica in its native range. Intermediate mitotypes with larger body sizes were found from the Balkans to central Asia. The observed reduced diversity within the Western clade is likely due to a high percentage of Wolbachia infection within this clade, which is known in other species. We also identified a higher substitution rate of nonsynonymous mutations, suggesting promoted (fixation of) nonsynonymous mutations in the infected Western clade. In the Western clade, recent sudden population growth after a bottleneck was suggested only for mitochondrial genes and not for nuclear genes, supporting a recent selective sweep on mitochondria by Wolbachia infection. Our results demonstrated a clear pattern of geographic distribution of the two divergent mitochondrial clades across the area of study, the Eastern/Egyptian and Western clades. The low genetic variation and star-like haplotype network within the Western clade is a signature of a recent demographic expansion from a few founders[49]. If the populations experienced ancient demographic bottlenecks, mitochondrial and nuclear genes are expected to have a concordant population structure. There was a weak concordance (Table 2), suggesting that these genes may have shared similar evolutionary trajectories. Two bottleneck events are likely; postglacial recolonization (see next section) and a recent mitochondrial sweep by Wolbachia. The former may also serve as a major driver of IBD that was supported for overall geographic populations (two clades distributed separately in the north and south with intermediate mitotypes in between). The latter likely accelerates the fixation of nonsynonymous mutations in the Western clade[33,35,50-53]. The asymmetric inheritance of maternal mitochondria of an infected host caused by unidirectional CI-inducing Wolbachia can eventually lead to a sweep, which likely explains the low mitochondrial genetic variation among infected individuals. The infected clade demonstrated accelerating nonsynonymous mutations or fixation. This result is consistent with a general trend of Wolbachia infected insect groups[38], suggesting fixation of nonsynonymous mutations in mitochondria promoted by its small effective population size under the CI-inducing Wolbachia infection. Furthermore, Wolbachia infection is advantageous for H. postica by enhancing resistance against its adult parasitoid Microctonus aethiopoides[22]. In the southernmost populations of the Western clade or the geographic contact zone between the two clades, most individuals were uninfected or had lost Wolbachia. The imperfect maternal transmission was observed in the interclade crosses of H. postica[27]; fitness costs incurred by cytoplasmic incompatibility and stochasticity during the invasion process[45,54] may lower the Wolbachia infection rate. Environmental causes (e.g., extreme temperatures) may also accelerate the endosymbiont loss[55,56]. Resulting uninfected H. postica populations (or with lowered Wolbachia density) must have regained reproductive compatibility between clades and enabled crosses between the diverged clades. The intermediate variants exhibited a large body size. Larger genitalia of the males with these mitotypes may inhibit mating with the females of other clades and promote reproductive isolation. These mitotypes also were associated with an ecological niche that differed from the niche of other clades. Bulgaria populations used Vicia cracca as a host plant, whereas other populations used Medicago and Trifolium. Vicia cracca has high contents of cyanamide[57] and canavanine[58] that are toxic to insect herbivores[59,60]. The genetic structure of most European biota has been strongly influenced by glacial oscillations of the Holocene[61,62], and most temperate species exhibit northward post-glacial recolonization from glacial refugia located in southern Europe through central Asia during the last glacial maxima (southern genetic richness/northern purity[63]; in beetles[64]). In H. postica, we observed mtDNA differentiation for all clades and within the Eastern/Egyptian clade. Based on the estimated ancestral states in mitochondrial phylogeography and mitochondrial/nuclear genetic diversity, the Balkan and Italian peninsulas are a possible candidate for the origin of the Eastern/Egyptian clade and western Europe (France) for that of the Western clade. The primary center of genetic and species diversity of the main host Medicago is the Caucasus (north-western Iran and north-eastern Turkey)[65], which may also consist of the area of origin of H. postica. The recent dispersal routes that include the north Mediterranean were highly supported. Anthropogenic factors may allow occasional dispersal of H. postica to Europe and North Africa with alfalfa traded for livestock feed (by 2,600 years ago[66]). More recent international trade of alfalfa meal and pellets may continue to aid the weevil’s opportunistic long-distance dispersal; France, Spain, and Italy are the major alfalfa exporters among H. postica’s native ranges[67].

Conclusion

While geographic isolation assisted continental diversification of the weevil H. postica, recent Wolbachia infection reduced diversity in a mitochondrial clade in the host weevil in western Europe. Wolbachia-infected males could be used as a control agent for the Incompatible Insect Technique on uninfected populations, however, the risk of heterosis in interclade crosses following accidental cure of Wolbachia must be assessed before application.

Methods

Sampling

Hypera postica (n = 149) were obtained from 33 localities covering most of its native distribution range (Table 1). Adults were collected from cultivated and wild legume vegetation of Medicago[47], Trifolium in Egypt, and Vicia cracca in Bulgaria, mostly during the latest decade. The samples were then stored in ethanol at 4 °C until DNA extraction.

PCR and sequencing

DNA was extracted from all specimens using a DNeasy Blood & Tissue kit (Qiagen, Tokyo, Japan). We amplified and sequenced two mitochondrial fragments, COI-tRNA-COII and Cyt b-tRNA-ND1 and two nuclear fragments, 28S and EF-1α. The primers used were C1-J-2797[68] and C2-N-3380[24] for the COI-tRNA-COII fragment, CB-J-11545 and N1-N-11841[68] for Cyt b-tRNA-ND1, 28S-01 and 28SR-01 for 28S[69], and ef415F (5′-AACCAGAGAACATGCTCTTCTCG-3′) and ef862R (5′-CTCAATTTTTTAAGTTTGTTCAATTTG-3′) (this study) for EF-1α. PCRs were performed using GoTaq Green Master Mix (Promega, Tokyo, Japan). Cycling conditions for COI-tRNA-COII amplification consisted of preheating at 95 °C for 2 min, followed by 38 cycles of denaturation at 94 °C for 50 s, annealing at 50 °C for 1 min, and an extension at 60 °C for 1 min. Amplification conditions for Cyt b-tRNA-ND1 were identical, except that annealing was performed at 55 °C for 1 min. Cycling conditions for 28S amplification were as follows; preheating as above, followed by 35 cycles of denaturation at 94 °C for 30 s, annealing at 52 °C for 40 s, and an extension at 70 °C for 1 min. Those for EF-1α consisted of preheating as above, followed by 38 cycles of denaturation at 94 °C for 30 s, annealing at 51 °C for 40 s, and an extension at 68 °C for 1 min. Sequencing was carried out using a BigDye Terminator v3.1 Cycle Sequencing kit (Life Technologies/Applied Biosystems, Foster City, CA, USA) on a 3730 DNA Analyzer (Applied Biosystems).

Wolbachia infection and phylogeny

We used PCR to screen for possible Wolbachia infections. The Wolbachia ftsZ coding fragment was amplified using the primers fts-Z-f and fts-Z-r[70]. PCRs were performed using preheating as above, followed by 32 cycles at 94 °C for 40 s, 55 °C for 45 s, and 70 °C for 1 min. As a positive control, we used Wolbachia-infected Callosobruchus chinensis[71]. Blurred and extremely weak signals compared with the positive control were considered uninfected, which differs from a previous study[47]. Wolbachia-positive H. postica were further subjected to PCR and sequencing of the genes, coxA and hcpA, in addition to ftsZ for multilocus sequence typing of Wolbachia[72]. For the phylogenetic reconstruction of Wolbachia, we used sequences from representative supergroups of Wolbachia (nr/nt database, Supplementary Table S1) with sequences of Anaplasma marginale as an outgroup. We used the GTR model, which was selected as the best fit model of nucleotide substitution by MrBayes3.2.6[73], based on the AICc, using MrAIC.pl 1.3.1[74]. The three gene segments were partitioned. Markov chain Monte Carlo (MCMC) simulations were performed for one million generations, with sampling conducted every 1,000 generations. The convergence of independent parallel runs was checked using Tracer 1.6[75], and the first 25% of trees were discarded as burn-in. After collecting specimens, the right elytron lengths of the samples were measured to the precision of 0.01 mm with a microscope (VH-5500, Keyence, Osaka, Japan). The sex of the samples was determined by both external and genital morphology. The effect of sex, clades (Egyptian/Eastern, Western, and intermediate), and Wolbachia infection on elytral lengths were tested by nonparametric Wilcoxon/Kruskal-Wallis signed rank tests. Posthoc multiple comparison was performed on the significant factor using the Steel-Dwass test. JMP 14.2.0 was used for statistical analyses. Selective neutrality was tested in each clade with Tajima[76]′’s D, Fu and Li[77]′’s D* and F*, using DNASP 6.12.03[78]. P values were derived by coalescent simulations with 2,000 replications. For the coalescent simulations for nuclear segments, an intermediate recombination rate was assumed. We used all mitochondrial (808 bp) or nuclear sequences (1,193 bp) of two individuals sampled per clade from each population to avoid sample size bias between populations. The equal nonsynonymous/synonymous substitution rate ratio (dN/dS ratio, ω) between infected and uninfected clades and between the two major clades was tested with a phylogenetic analysis using the maximum likelihood method (likelihood ratio test) employed by the codeml program in PAML 4.9i[79]. The models with three or more different ω for each branch were compared with a reference (basal) model with two different ω (one for the root and the other for both the Western and Egyptian/Eastern clades). We concatenated all the open reading frames (protein-coding fragments) and removed potential stop codons (leading to 215 codons) of the mitochondrial sequences of two individuals randomly sampled per clade from each population to avoid sample size bias between populations. Codons for invertebrate mitochondria were used. All mitochondrial sequences were assembled using Sequencher 5.0 (Gene Codes Corp, Ann Arbor, MI, USA), and we checked for the presence of pseudogenes using commonly employed methods[80,81]. Statistical parsimony networks were reconstructed based on mitochondrial and nuclear fragments using TCS 1.21[82], in which we allowed connections between haplotypes of 20 steps for mitochondrial genes and 95% for the nuclear genes, to elucidate the maximal divergence observed among haplotypes. Nucleotide diversity (average over loci) and п (mean number of pairwise differences)[83] were estimated for each geographic area, using Arlequin 3.5.2.2[84]. We assessed spatial mitochondrial differentiation by testing for isolation by distance (IBD)[85]. With a sweep (e.g., by Wolbachia) followed by rapid spread or frequent anthropogenic long-distance dispersal events, the IBD correlation is predicted to be weak at most. We tested if, as predicted by IBD, pairwise geographic distances and pairwise genetic differences were positively correlated using a one-tailed Mantel test[86] based on 2,000 permutations with the ISOLDE program implemented in Genepop 4.2[87]. For pairwise genetic differences, we employed corrected average pairwise differences between populations X and Y, [πXY − (πX + πY)/2][88] and their p values were derived using Arlequin. We estimated the historical dispersal patterns of H. postica, using a Bayesian discrete phylogeographic approach[89] with a Bayesian skyride framework implemented in the software package BEAST 1.10.4[90]. We used two mitochondrial segments (808 bp). To avoid sample size bias, we selected only one individual per clade from a given locality but excluded intermediate mitotypes, which reduced the data set to 34 individuals, with H. miles as an outgroup. We used default settings, applied the same molecular evolution model as presented above, and used an uncorrelated relaxed clock model assuming lognormal rate distribution[91]. We assigned each sequence to one of the seven geographic regions, and the symmetric exchanges between the geographic regions throughout the entire phylogeny were modeled with the Bayesian stochastic search variable selection (BSSVS). MCMC runs were performed for 50 million generations, sampling one tree every 25,000 generations. After confirming the stationarity of parameter estimates using Tracer, the first 40% of trees were discarded as burn-in, and maximum clade credibility (MCC) tree was built using TreeAnnotatorv1.10.4. As each node in each MCMC sample is annotated with a geographic region and Wolbachia infection status, we assessed the certainty of the geographic reconstruction by looking at the distribution of node states across the MCMC using FigTree v1.4.4 (http://tree.bio.ed.ac.uk/software/figtree/). Bayes factor (BF) values for exchange rates between each pairwise regions were retrieved from the log file from the BSSVS analysis using SpreaD3 v0.9.7.1rc[92]. Supplementary Information.
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