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Article

Similar Bacterial Communities among Different Populations of a Newly Emerging Invasive Species, Tuta absoluta (Meyrick)

1
State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
2
Guangzhou Customs Technology Center, Laboratory for Plant Quarantine, Guangzhou 510623, China
3
Sustainable Plant Protection Department, Institute for Research and Technology in Agriculture (IRTA), 08348 Cabrils, Barcelona, Spain
4
Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
5
Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
6
Scientific Observing and Experimental Station of Crop Pests in Guilin, Ministry of Agriculture, Guilin 541399, China
*
Author to whom correspondence should be addressed.
Insects 2022, 13(3), 252; https://doi.org/10.3390/insects13030252
Submission received: 22 December 2021 / Revised: 24 February 2022 / Accepted: 28 February 2022 / Published: 3 March 2022

Abstract

:

Simple Summary

As an invasive pest in China, the moth Tuta absoluta has spread extremely quickly, and now causes serious harm to the Chinese tomato industry. Understanding gut microbial diversity and composition can potentially identify the adaptive potential of introduced species. In this study, we found there were no significant differences in microbial diversity among three geographical populations, and the gut microbial compositions were similar among the Spanish, Xinjiang and Yunnan geographical populations.

Abstract

Microorganisms in the guts of insects enhance the adaptability of their hosts with different lifestyles, or those that live in different habitats. Tuta absoluta is an invasive pest that is a serious threat to tomato production in China. It has quickly spread and colonized Xinjiang, Yunnan and other provinces and regions. We used Illumina HiSeq next generation sequencing of the 16S rRNA gene to study and analyze the composition and diversity of the gut microbiota of three geographical populations of T. absoluta. At the phylum level, the most common bacteria in T. absoluta across all three geographical populations were Proteobacteria and Firmicutes. An uncultured bacterium in the Enterobacteriaceae was the dominant bacterial genus in the T. absoluta gut microbiotas. There were no significant differences in alpha diversity metrics among the Spanish, Yunnan and Xinjiang populations. The structures of the gut microbiota of the three populations were similar based on PCoA and NMDS results. The results confirmed that the microbial structures of T. absoluta from different regions were similar.

1. Introduction

The abundant and diverse gut microbial communities of insects are often adapted to their host gut environment, with some even developing coevolutionary associations with their hosts via sophisticated symbiotic interactions [1,2,3]. Insect guts provide habitats for microbes which, in turn, can influence many aspects of the hosts’ biology. The main functions of the gut microbiota in insects include nutrition acquisition, food digestion, immunity, and defense detoxification, as well as promoting growth, development, and breeding [4,5,6].
Phytophagous lepidopterans, including butterflies and moths, are among the most widespread and diverse taxa of insects on Earth, including approximately 160,000 described species in 47 superfamilies [7]. Many of them are major agricultural pests that feed either externally on leaf tissue (macrolepidopterans), or internally on the mesophyll layer of the stem or leaf (microlepidopterans) [8]. Gut microbiota may aid in the digestion and uptake of nutrients from plants [9,10]. Hence, the gut microbiota of herbivorous lepidopterans has received increasing interest and study, especially through the use of next-generation sequencing technologies [3,11,12,13].
Lepidopteran insect guts generally contain abundant microorganisms [14,15]. Several studies have investigated the intestinal bacterial communities of lepidopterans, such as Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae) [16,17,18], Spodoptera littoralis (Boisd.) (Lep.: Noctuidae) [19], Spodoptera litura Fab. (Lep.: Noctuidae) [20], Spodoptera exigua (Hübner) (Lep.: Noctuidae) [21], Spodoptera frugiperda (J.E. Smith) (Lep.: Noctuidae) [22,23], Plutella xylostella (L.) (Lep.: Yponomeutidae) [24,25,26], Plodia interpunctella (Hübner) (Lep.: Pyralidae) [27], Grapholita molesta (Busck) (Lep.: Tortricidae), Cydia pomonella (Linnaeus) (Lep.: Tortricidae) [28], and Antheraea assamensis (Lep.: Saturniidae) [29]. Meanwhile, gut microbiota of these insects are significantly affected by developmental stage [19,21], food/host plant type [26,27,28,30,31,32], geographical location [23,29], environment [12,33], and pathogen invasion [18]. Even though the microbiota of several distinct feeding guilds, including foliage feeder and fruit borer, have been explored, little is known about that of lepidopteran leaf miners.
Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) is an invasive species and destructive pest worldwide [34]. Its larvae not only mine into and feed within the leaves of host plants, but also penetrate host fruits and axillary buds of young stems [35]. T. absoluta originated in Peru, and was only reported from South American countries prior to 2006, when it was introduced to Spain through the importation of tomato fruits [34,36]. Then, this pest quickly spread in Europe, Africa, and Asia at 800 km per year with the trade of agricultural products [35]. By 2020, this pest had spread to 110 countries and regions [37]. Recently, the T. absoluta has invaded and established itself in China [38], spreading to Xinjiang, Yunnan, and other provinces [39]. Based on genetic population analyses, this pest could have been introduced from two different pathways: a southwest pathway from Myanmar into Yunnan Province, and a northwest pathway from Kazakhstan into Xinjiang Province [39]. T. absoluta, as a destructive invasive pest worldwide, has attracted considerable attention from many entomologists all over the world. However, no studies have focused on the environmental adaptability of the gut microbes in T. absoluta adults thus far. In addition, it is not clear whether the microbiota of adult insects influence their invasion potential or plant pest potential.
In this study, we examined the composition and diversity of bacterial communities from the guts of female T. absoluta from three different geographical populations using the Illumina HiSeq sequencing of bacterial 16S rRNA gene PCR amplicons. The goals of this work were to provide a reference for analyzing the sources of three geographical populations of T. absoluta (two from China and one from Spain) and estimate Wolbachia infections in T. absoluta populations. These results will aid the bettering our understanding of the adaptation of a lepidopteran leaf miner pest to different geographical environments.

2. Materials and Methods

2.1. Sample Collection

Adults of T. absoluta were collected from Yunnan and Xinjiang, China, and Barcelona, Spain, from December 2019 to July 2020 (Table 1). The transport of the Spanish population into China met the legislative and security requirements of the two countries. The intestinal contents of approximately 20 insects from each geographical population were treated as one replicate; five replicates were prepared for each population. A sufficient number of freshly emerged female adults of T. absoluta were selected from each geographic group. The insects were surface sterilized with 75% alcohol 3 times for 1 min each and washed with sterile water more than 5 times. The complete gut tract was excised, and the midgut and hindgut were separated, placed in 1.5 mL centrifuge tubes with sterile water, and then stored in the laboratory at −80 °C for later use.

2.2. DNA Extraction and Sequencing

DNA was extracted from approximately 20 intestinal contents (per replicate) of T. absoluta using a TGuide S96 Magnetic Soil/Stool DNA Kit (TIANGEN, Beijing, China) according to the manufacturer’s protocol. The V3 + V4 region of 16S rDNA was amplified with the specific primers 338F (5′-ACTCCTACGGGAGGCAGCA-3′) and 806R (5′-GGACTACHVGGGTWTCTAAT-3′) [40]. The PCR conditions were as follows: 95 °C for 5 min, followed by 25 cycles of 95 °C for 30 s, 50 °C for 30 s and 72 °C for 40 s, and a final extension at 72 °C for 7 min. PCR products were purified using VAHTSTM DNA clean beads (Vazyme, Nanjing, China) as a template by Solexa PCR with 98 °C for 30 s, followed by 10 cycles of 98 °C for 10 s, 65 °C for 30 s and 72 °C for 30 s, and a final extension at 72 °C for 5 min. Then, the Solexa PCR products were used to construct libraries by Biomarker Technologies Company (Beijing, China).

2.3. Bioinformatics Analysis

After sequencing, the original data were spliced by FLASH [41] (version 1.2.7). The raw reads obtained by sequencing were filtered by using Trimmomatic [42] (version 0.33), and then Cutadapt [43] (version 1.9.1) was employed to identify and remove primer sequences, thus obtaining clean reads without primer sequences. The clean reads were spliced using USEARCH [44] (version 10.0), and then the spliced data were filtered according to the length range of different regions. The identification and removal of chimeras were carried out by UCHIME [45] (version 8.1), and the final effective reads were generated. Then, the average length, GC content, Q20 (%) [quality value (>20)/the total bases], Q30 (%) [quality value (>30)/the total bases], and effective ratio [effective reads/raw reads] were calculated. The high-quality sequences with 97% or greater similarities were identified as operational taxonomic units (OTUs) by USEARCH [44] (version 10.0). Since Wolbachia is an intracellular, maternally transmitted endosymbiont, the OTU sequences were screened and analyzed to remove Wolbachia sequences.

2.4. Diversity Analyses

The ACE, Chao1, Shannon and Simpson indices were evaluated using QIIME2 [46] and were analyzed with one-way analysis of variance (ANOVA) at a 0.05 level of significance by using IBM SPSS Statistics 26. For beta diversity analysis, the binary Jaccard algorithm was used to calculate the distance between samples. Beta diversity was analyzed by principal coordinate analysis [47] (PCoA) and nonmetric multidimensional scaling [48] (NMDS). Analysis of similarities (ANOSIM) was performed with the vegan package in the R environment.

2.5. Phylogenetic Analysis of Wolbachia

To compare Wolbachia infections in T. absoluta species and other insect species, a phylogenetic tree was constructed using the maximum likelihood (ML) method in MEGA (version 7.0) (https://www.megasoftware.net/ accessed on 24 November 2021). Bootstrap analysis was performed with 1000 replicates. The 16S rRNA gene of Wolbachia from T. absoluta was obtained by Biomarker Technologies Company (Beijing, China). The other sequences were downloaded from GenBank.

3. Results

3.1. Sequencing Quality (OTU) and Venn Analyses

A total of 1,207,610 pairs of reads were obtained from 15 samples. After quality control and the splicing of double-terminal reads, a total of 1,193,147 clean reads were generated, and a minimum of 78,827 and an average of 79,543 clean reads were generated for each sample. The sequences were clustered into OTUs with a 97% identity, and a total of 1083 OTUs were obtained after removing Wolbachia (Figure 1A).
Figure 1 shows that 1060, 987 and 964 OTUs were obtained from three geographical populations of Spain (SP), Xinjiang (XJ) and Yunnan (YN), respectively (Figure 1A). Among these OTUs, 880 OTUs were shared among the gut microbiotas of the three geographical populations. There were 25 and 10 OTUs specific to the Spanish (SP) and Yunnan (YN) populations, respectively (Figure 1B).

3.2. Bacterial Alpha Diversity of the Gut Microbiota of T. absoluta

The ACE index, Chao1 index, Shannon index and Simpson index were used to further analyze species diversity and richness. As shown in Figure 2, among the three groups, the Spanish population exhibited the highest Shannon and Simpson indices, while the lowest values were observed in the Xinjiang population. However, there were no significant differences in microbial diversity (PShannon = 0.142; PSimpson = 0.156). The ACE and Chao1 microbial richness indices were also not significantly different between the geographical populations (PACE = 0.419; PChao1 = 0.370). The species richness of the Spanish population species richness appeared to be higher than that of the Xinjiang population and Yunnan population.

3.3. Analysis of the Composition and Structure of the Gut Microbiota in T. absoluta from Different Geographical Populations

The microbial community composition of T. absoluta gut samples at the phylum, family, and genus level are shown in Figure 3. At the phylum level, the dominant gut bacteria of T. absoluta from the Spanish, Xinjiang, and Yunnan populations were members of Proteobacteria followed by Firmicutes, Bacteroidetes, Acidobacteria, Actinobacteria, Verrucomicrobia, Cyanobacteria, Chloroflexi, Gemmatimonadetes, and Nitrospirae (Figure 3A). At the family level, Enterobacteriaceae and Muribaculaceae were dominant in the Spanish, Xinjiang, and Yunnan populations (Figure 3B). When we kept sequences in Wolbachia, they accounted for 11.92% from Spain (SP), 4.77% from Xinjiang (XJ), and 10.59% from Yunnan (YN) in the genus level, respectively (Figure S1). However, Wolbachia is an endosymbiont, and we removed Wolbachia from the composition of the gut microbiota analysis. As shown in Figure 3C, an uncultured bacterium in the Enterobacteriaceae was the dominant genus of the gut microbial community in the three populations. The next most dominant was uncultured_bacterium_f_Muribaculaceae. The compositions and structures of the gut microbiota of T. absoluta from different geographical populations were similar.

3.4. The Bacterial Community Composition of the Gut Microbiota of T. absoluta

The dots separated by shorter distances shared higher similarity in the coordinate system (Figure 4A,B). PCoA and NMDS based on the binary Jaccard algorithm revealed that the compositions and structures of the gut microbiota in T. absoluta from Spanish, Yunnan, and Xinjiang populations overlapped, indicating that the microbial communities were very similar to each other. There was no significant difference in the gut microbiota among the three geographical populations of T. absoluta at the OTU level based on ANOSIM analysis (P = 0.397 for PCoA, P = 0.378 for NMDS).

3.5. Phylogenetic Analysis of Wolbachia

We constructed a phylogenetic tree of 24 Wolbachia sequences by using the ML method to analyze the evolutionary relationships of Wolbachia from T. absoluta and other arthropod hosts (Figure 5), and all sequences were divided into two supergroups (A and B). T. absoluta in this research were a member of Wolbachia supergroup B.

4. Discussion

T. absoluta is a destructive pest of tomato worldwide. In the present study, the composition and diversity of the gut bacteria of T. absoluta from three different geographical regions were studied to promote further research on whether these bacteria influence invasion potential or pest status. The results revealed abundant and diverse bacteria in the gut of T. absoluta.
Alpha diversity reflects the species richness and diversity of a single sample [49]. Based on the alpha diversity metrics, there were no significant differences among the three geographical populations. Our result was consistent with the findings of some previous research. Ugwu et al. [23] found no significant differences in the microbial diversity and species richness of different geographical populations of Spodoptera frugiperda. In contrast, Gandotra et al. [29] reported that Antheraea assamensis from the Titabar region had a significantly higher Shannon–Wiener diversity index than that in the other regions. Bacterial diversity (Shannon index) varied significantly between Holotrichia parallela larvae from different locations [50].
In addition, the microbial community structure relationships among the Spanish (SP), Yunnan (YN), and Xinjiang (XJ) populations were similar, which could have two explanations. First, tomato is the preferred host plant in the different geographical populations of T. absoluta. The T. absoluta diet is narrow, with a preference for tomato (fresh market and cherry tomatoes) over other solanaceous plants in China [39]. In addition, studies of microbial communities of Aphis gossyphii from different plants and regions in China uncovered no significant correlation between the geographical distance between sampling sites and the Bray–Curtis differences of symbiotic or secondary symbiotic communities, and determined that host plants may have influenced the composition of the associated symbionts [51]. Moreover, Ugwu et al. [29] revealed that Spodoptera frugiperda from different geographical regions did not differ in the larval gut microbiome. However, Gong et al. [52] suggested that environmental variability can influence the gut microbiota of the two fruit moth pests. The object of our study was the gut microbiota of adults from different geographical populations. Because the lepidopteran larvae consume large kinds of host plants during development their guts may contain many undigested host plants. Further studies will examine more species of host plants and different environments to analyze the adaptability of the larvae of T. absolute gut microbiota. The second reason may be that the three geographical populations have the same origin. As a newly emerging invasive pest, T. absoluta was first detected only a few months apart in the Xinjiang and Yunnan provinces [38]. Zhang et al. [39] speculated that neither of these provinces was the source of the introduction to the other province. Based on the microbiome results, we propose that Yunnan and Xinjiang populations could have originated from the Spanish population. Further research will be combined with genetic studies to test this hypothesis about the origin of T. absoluta.
The gut microbiota of T. absoluta was dominated by Proteobacteria and Firmicutes at the phylum level, similar to the results of previous studies on lepidopteran insects, including Spodoptera littoralis [19], Helicoverpa armigera [16], Plutella xylostella (L.) [24,53], Brithys crini [54], and Spodoptera frugiperda [55]. A comparison of the gut bacteria of 30 species of lepidopterans revealed that the most dominant phylum was Proteobacteria [56]. In this study, family Enterobacteriaceae, a member of the Proteobacteria, was dominant in all geographical populations. Enterobacteriaceae are widely distributed in insects and have an important function. An increased abundance of Enterobacteriaceae can significantly reduce the mortality of host insects, thus extending host insect longevity [57]. Enterobacteriaceae can also aid in insects’ nitrogen and carbon metabolism [58,59,60], resistance to pathogenic bacteria and parasites [61], and courtship and reproduction [28]. Interestingly, the microbial richness of the Xinjiang (XJ) population was lower than that of the Spanish (SP) population and the Yunnan (YN) population at the family level, except for Enterobacteriaceae. We speculate that metabolic versatility can help insects adapt to unfavorable environments. This hypothesis can be tested with additional in-depth research in this area.
Wolbachia is found in many arthropods, especially insects [62]. Approximately 80% of lepidopteran insects are infected by Wolbachia [63]. As a facultative endosymbiont, Wolbachia has become one of the most widely studied endosymbionts due to its wide distribution and multiple regulatory effects on the host. Furthermore, Wolbachia induces the reproductive manipulation of hosts, including cytoplasmic incompatibility (CI), male killing, feminization, and parthenogenesis [64]. Most Wolbachia infecting lepidopteran insects belong to supergroup A or B, and most of them belong to supergroup B [65,66]. In the current study, the Wolbachia detected in the three different geographical populations of T. absoluta appeared to belong to supergroup B, which was consistent with previous results in a Brazilian population and Iranian and Turkish populations [67,68].
T. absoluta is an invasive pest worldwide and has been found to have parthenogenesis [69,70]. This may be related to the symbiosis of T. absoluta with a specific strain of Wolbachia [67]. However, the parthenogenesis of the population of T. absoluta in Brazil is independent of infection by Wolbachia [67]. To date, parthenogenesis has not been found for T. absoluta in China, a newly invaded country. We do not know whether the presence of Wolbachia in T. absoluta is responsible for this reproductive behavior. Further studies with the application of molecular and genetic techniques and enhanced international collaboration will help answer this question.

5. Conclusions

In summary, our results showed the diversity and composition of the T. absoluta gut microbiota from different regions. We confirmed that Proteobacteria and Firmicutes were the dominant bacteria at the phylum level. We also found that the gut microbial structures of T. absoluta populations from different regions were similar. Our results may shed light on the invasiveness and adaptability of T. absoluta from the perspective of gut microbiota.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/insects13030252/s1, Figure S1: Species distribution in all samples when kept Wolbachia in analysis.

Author Contributions

H.W., Y.Z., G.Z., W.L., X.X., C.C., J.A. and F.W. designed the experiment and wrote the paper. Y.G. and S.W. supervision. G.Z. funding acquisition. H.W. and Y.Z. performed the experiment. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the National Key R & D Project of China (2021YFD1400205).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Dillon, R.J.; Dillon, V.M. The gut bacteria of insects: Nonpathogenic interactions. Annu. Rev. Entomol. 2004, 49, 71–92. [Google Scholar] [CrossRef]
  2. Engel, P.; Moran, N.A. The gut microbiota of insects-diversity in structure and function. FEMS Microbiol. Rev. 2013, 37, 699–735. [Google Scholar] [CrossRef] [PubMed]
  3. Jang, S.; Kikuchi, Y. Impact of the insect gut microbiota on ecology, evolution, and industry. Curr. Opin. Insect Sci. 2020, 41, 33–39. [Google Scholar] [CrossRef] [PubMed]
  4. Moran, N.A. Symbiosis as an adaptive process and source of phenotypic complexity. Proc. Natl. Acad. Sci. USA 2007, 104, 8627–8633. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Shi, W.; Xie, S.; Chen, X.; Sun, S.; Zhou, X.; Liu, L.; Gao, P.; Kyrpides, N.C.; No, E.G.; Yuan, J.S. Comparative genomic analysis of the microbiome of herbivorous insects reveals eco-environmental adaptations: Biotechnology applications. PLoS Genet. 2013, 9, e1003131. [Google Scholar] [CrossRef]
  6. Liu, W.W.; Zhang, X.W.; Wu, N.; Ren, Y.D.; Wang, X.F. High diversity and functional complementation of alimentary canal microbiota ensure small brown planthopper to adapt different biogeographic environments. Front. Microbiol. 2020, 10, 2953. [Google Scholar] [CrossRef] [Green Version]
  7. Kristensen, N.P.; Scoble, M.J.; Karsholt, O.K. Lepidoptera phylogeny and systematics: The state of inventorying moth and butterfly diversity. Zootaxa 2007, 1668, 699–747. [Google Scholar] [CrossRef] [Green Version]
  8. Loder, N.; Gaston, K.J.; Warren, P.H.; Arnold, H.R. Body size and feeding specificity: Macrolepidoptera in Britain. Biol. J. Linn. Soc. Lond. 1998, 63, 121–139. [Google Scholar] [CrossRef] [Green Version]
  9. Ruokolainen, L.; Ikonen, S.; Makkonen, H.; Hanski, I. Larval growth rate is associated with the composition of the gut microbiota in the Glanville fritillary butterfly. Oecologia 2016, 181, 895–903. [Google Scholar] [CrossRef]
  10. Mereghetti, V.; Chouaia, B.; Montagna, M. New insights into the microbiota of moth pests. Int. J. Mol. Sci. 2017, 18, 2450. [Google Scholar] [CrossRef] [Green Version]
  11. Klindworth, A.; Pruesse, E.; Schweer, T.; Peplies, J.; Quast, C.; Horn, M.; Glockner, F.O. Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res. 2013, 41, e1. [Google Scholar] [CrossRef] [PubMed]
  12. Yun, J.H.; Roh, S.W.; Whon, T.W.; Jung, M.J.; Kim, M.S.; Park, D.S.; Yoon, C.; Nam, Y.D.; Kim, Y.J.; Choi, J.H.; et al. Insect gut bacterial diversity determined by environmental habitat, diet, developmental stage, and phylogeny of host. Appl. Environ. Microbiol. 2014, 80, 5254–5264. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Knight, R.; Vrbanac, A.; Taylor, B.C.; Aksenov, A.; Callewaert, C.; Debelius, J.; Gonzalez, A.; Kosciolek, T.; McCall, L.I.; McDonald, D.; et al. Best practices for analysing microbiomes. Nat. Rev. Microbiol. 2018, 16, 410–422. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Hammer, T.J.; Janzen, D.H.; Hallwachs, W.; Jaffe, S.P.; Fierer, N. Caterpillars lack a resident gut microbiome. Proc. Natl. Acad. Sci. USA 2017, 114, 9641–9646. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Hammer, T.J.; Sanders, J.G.; Fierer, N. Not all animals need a microbiome. FEMS Microbiol. Lett. 2019, 366, fnz117. [Google Scholar] [CrossRef] [Green Version]
  16. Priya, N.G.; Ojha, A.; Kajla, M.K.; Raj, A.; Rajagopal, R. Host plant induced variation in gut bacteria of Helicoverpa armigera. PLoS ONE 2012, 7, e30768. [Google Scholar] [CrossRef] [Green Version]
  17. Paramasiva, I.; Shouche, Y.; Kulkarni, G.J.; Krishnayya, P.V.; Akbar, S.M.; Sharma, H.C. Diversity in gut microflora of Helicoverpa armigera populations from different regions in relation to biological activity of Bacillus thuringiensis delta-endotoxin Cry1Ac. Arch. Insect Biochem. Physiol. 2014, 87, 201–213. [Google Scholar] [CrossRef] [Green Version]
  18. Yuan, C.; Xing, L.; Wang, M.; Hu, Z.; Zou, Z. Microbiota modulates gut immunity and promotes baculovirus infection in Helicoverpa armigera. Insect Sci. 2021, 28, 1766–1779. [Google Scholar] [CrossRef]
  19. Chen, B.; Teh, B.S.; Sun, C.; Hu, S.; Lu, X.; Boland, W.; Shao, Y. Biodiversity and activity of the gut microbiota across the life history of the insect herbivore Spodoptera littoralis. Sci. Rep. 2016, 6, 29505. [Google Scholar] [CrossRef]
  20. Bapatla, K.G.; Singh, A.; Yeddula, S.; Patil, R.H. Annotation of gut bacterial taxonomic and functional diversity in Spodoptera litura and Spilosoma obliqua. J. Basic Microbiol. 2018, 58, 217–226. [Google Scholar] [CrossRef]
  21. Gao, X.; Li, W.; Luo, J.; Zhang, L.; Ji, J.; Zhu, X.; Wang, L.; Zhang, S.; Cui, J. Biodiversity of the microbiota in Spodoptera exigua (Lepidoptera: Noctuidae). J. Appl. Microbiol. 2019, 126, 1199–1208. [Google Scholar] [CrossRef] [PubMed]
  22. Rozadilla, G.; Cabrera, N.A.; Virla, E.G.; Greco, N.M.; McCarthy, C.B. Gut microbiota of Spodoptera frugiperda (J.E. Smith) larvae as revealed by metatranscriptomic analysis. J. Appl. Microbiol. 2020, 144, 351–363. [Google Scholar] [CrossRef]
  23. Ugwu, J.A.; Liu, M.; Sun, H.; Asiegbu, F.O. Microbiome of the larvae of Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) from maize plants. J. Appl. Microbiol. 2020, 144, 764–776. [Google Scholar] [CrossRef]
  24. Xia, X.; Zheng, D.; Zhong, H.; Qin, B.; Gurr, G.M.; Vasseur, L.; Lin, H.; Bai, J.; He, W.; You, M. DNA sequencing reveals the midgut microbiota of diamondback moth, Plutella xylostella (L.) and a possible relationship with insecticide resistance. PLoS ONE 2013, 8, e68852. [Google Scholar] [CrossRef]
  25. Lin, X.L.; Pan, Q.J.; Tian, H.G.; Douglas, A.E.; Liu, T.X. Bacteria abundance and diversity of different life stages of Plutella xylostella (Lepidoptera: Plutellidae), revealed by bacteria culture-dependent and PCR-DGGE methods. Insect Sci. 2015, 22, 375–385. [Google Scholar] [CrossRef]
  26. Lin, X.L.; Kang, Z.W.; Pan, Q.J.; Liu, T.X. Evaluation of five antibiotics on larval gut bacterial diversity of Plutella xylostella (Lepidoptera: Plutellidae). Insect Sci. 2015, 22, 619–628. [Google Scholar] [CrossRef]
  27. Montagna, M.; Mereghetti, V.; Gargari, G.; Guglielmetti, S.; Faoro, F.; Lozzia, G.; Locatelli, D.; Limonta, L. Evidence of a bacterial core in the stored products pest Plodia interpunctella: The influence of different diets. Environ. Microbiol. 2016, 18, 4961–4973. [Google Scholar] [CrossRef] [Green Version]
  28. Liu, Y.; Shen, Z.; Yu, J.; Li, Z.; Liu, X.; Xu, H. Comparison of gut bacterial communities and their associations with host diets in four fruit borers. Pest. Manag. Sci. 2020, 76, 1353–1362. [Google Scholar] [CrossRef]
  29. Gandotra, S.; Kumar, A.; Naga, K.; Bhuyan, P.M.; Gogoi, D.K.; Sharma, K.; Subramanian, S. Bacterial community structure and diversity in the gut of the muga silkworm, Antheraea assamensis (Lepidoptera: Saturniidae), from India. Insect Mol. Biol. 2018, 27, 603–619. [Google Scholar] [CrossRef]
  30. Voirol, L.R.P.; Weinhold, A.; Johnston, P.R.; Fatouros, N.E.; Hilker, M. Legacy of a Butterfly’s Parental Microbiome in Offspring Performance. Appl. Environ. Microbiol. 2020, 86, 12. [Google Scholar] [CrossRef]
  31. Zeng, J.Y.; Wu, D.D.; Shi, Z.B.; Yang, J.; Zhang, G.C.; Zhang, J. Influence of dietary aconitine and nicotine on the gut microbiota of two lepidopteran herbivores. Arch. Insect Biochem. Physiol. 2020, 104, e21676. [Google Scholar] [CrossRef] [PubMed]
  32. Zeng, J.Y.; Vuong, T.M.D.; Guo, J.X.; Shi, J.H.; Shi, Z.B.; Zhang, G.C.; Zhang, J. Diel pattern in the structure and function of the gut microbial community in Lymantria dispar asiatica (Lepidoptera: Lymantriidae) larvae. Arch. Insect Biochem. Physiol. 2020, 104, e21691. [Google Scholar] [CrossRef] [PubMed]
  33. Martemyanov, V.V.; Belousova, I.A.; Pavlushin, S.V.; Dubovskiy, I.M.; Ershov, N.I.; Alikina, T.Y.; Kabilov, M.R.; Glupov, V.V. Phenological asynchrony between host plant and gypsy moth reduces insect gut microbiota and susceptibility to Bacillus thuringiensis. Ecol. Evol. 2016, 6, 7298–7310. [Google Scholar] [CrossRef]
  34. Desneux, N.; Luna, M.G.; Guillemaud, T.; Urbaneja, A. The invasive South American tomato pinworm, Tuta absoluta, continues to spread in Afro-Eurasia and beyond: The new threat to tomato world production. J. Pest. Sci. 2011, 84, 403–408. [Google Scholar] [CrossRef]
  35. Biondi, A.; Guedes, R.N.C.; Wan, F.H.; Desneux, N. Ecology, Worldwide Spread, and Management of the Invasive South American Tomato Pinworm, Tuta absoluta: Past, Present, and Future. Annu. Rev. Entomol. 2018, 63, 239–258. [Google Scholar] [CrossRef] [PubMed]
  36. Urbaneja, A.; Montón, H.; Vanaclocha, P.; Mollá, Ó.; Beitia, F. La polilla del tomate, Tuta absoluta, una nueva presa para los Míridos Nesidiocoris tenuis Y Macrolophus pygmaeus. Agrícola Vergel 2008, 320, 361–367. [Google Scholar]
  37. Desneux, N.; Han, P.; Mansour, R.; Arnó, J.; Brévault, T.; Campos, M.R.; Chailleux, A.; Guedes, R.N.C.; Karimi, J.; Konan, K.A.J.; et al. Integrated pest management of Tuta absoluta: Practical implementations across different world regions. J. Pest. Sci. 2021, 95, 17–39. [Google Scholar] [CrossRef]
  38. Zhang, G.F.; Ma, D.Y.; Wang, Y.S.; Gao, Y.H.; Liu, W.X.; Zhang, R.; Fu, W.J.; Xian, X.Q.; Wang, J.; Kuang, M.; et al. First report of the South American tomato leafminer, Tuta absoluta (Meyrick), in China. J. Integr. Agric. 2020, 19, 1912–1917. [Google Scholar] [CrossRef]
  39. Zhang, G.F.; Xian, X.Q.; Zhang, Y.B.; Liu, W.X.; Liu, H.; Feng, X.D.; Ma, D.Y.; Wang, Y.S.; Gao, Y.H.; Zhang, R.; et al. Outbreak of the South American tomato leafminer, Tuta absoluta, in the Chinese mainland: Geographic and potential host range expansion. Pest. Manag. Sci. 2021, 77, 5475–5488. [Google Scholar] [CrossRef] [PubMed]
  40. Kozich, J.J.; Westcott, S.L.; Baxter, N.T.; Highlander, S.K.; Schloss, P.D. Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform. Appl. Environ. Microbiol. 2013, 79, 5112–5120. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Magoc, T.; Salzberg, S.L. FLASH: Fast length adjustment of short reads to improve genome assemblies. Bioinformatics 2011, 27, 2957–2963. [Google Scholar] [CrossRef]
  42. Bolger, A.M.; Lohse, M.; Usadel, B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 2014, 30, 2114–2120. [Google Scholar] [CrossRef] [Green Version]
  43. Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. Embnet J. 2011, 17, 10–12. [Google Scholar] [CrossRef]
  44. Edgar, R.C. UPARSE: Highly accurate OTU sequences from microbial amplicon reads. Nat. Methods 2013, 10, 996–998. [Google Scholar] [CrossRef]
  45. Edgar, R.C.; Haas, B.J.; Clemente, J.C.; Quince, C.; Knight, R. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 2011, 27, 2194–2200. [Google Scholar] [CrossRef] [Green Version]
  46. Bolyen, E.; Rideout, J.R.; Dillon, M.R.; Bokulich, N.A.; Abnet, C.C.; Al-Ghalith, G.A.; Alexander, H.; Alm, E.J.; Arumugam, M.; Asnicar, F.; et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat. Biotechnol. 2019, 37, 852–857. [Google Scholar] [CrossRef] [PubMed]
  47. Sakaki, T.; Takeshima, T.; Tominaga, M.; Hashimoto, H.; Kawaguchi, S. Recurrence of ICA-PCoA aneurysms after neck clipping. J. Neurosurg. 1994, 80, 58–63. [Google Scholar] [CrossRef]
  48. Looft, T.; Johnson, T.A.; Allen, H.K.; Bayles, D.O.; Alt, D.P.; Stedtfeld, R.D.; Sul, W.J.; Stedtfeld, T.M.; Chai, B.; Cole, J.R.; et al. In-feed antibiotic effects on the swine intestinal microbiome. Proc. Natl. Acad. Sci. USA 2012, 109, 1691–1696. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Gotelli, N.J.; Colwell, R.K. Quantifying biodiversity: Procedures and pitfalls in the measurement and comparison of species richness. Ecol. Lett. 2001, 4, 379–391. [Google Scholar] [CrossRef] [Green Version]
  50. Huang, S.; Zhang, H. The impact of environmental heterogeneity and life stage on the hindgut microbiota of Holotrichia parallela larvae (Coleoptera: Scarabaeidae). PLoS ONE 2013, 8, e57169. [Google Scholar] [CrossRef] [PubMed]
  51. Xu, S.; Jiang, L.; Qiao, G.; Chen, J. The bacterial flora associated with the polyphagous aphid Aphis gossypii Glover (Hemiptera: Aphididae) is strongly affected by host plants. Microb. Ecol. 2020, 79, 971–984. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Gong, Q.; Cao, L.J.; Sun, L.N.; Chen, J.C.; Gong, Y.J.; Pu, D.Q.; Huang, Q.; Hoffmann, A.A.; Wei, S.J. Similar gut bacterial microbiota in two fruit-feeding moth pests collected from different host species and locations. Insects 2020, 11, 840. [Google Scholar] [CrossRef]
  53. Xia, X.; Gurr, G.M.; Vasseur, L.; Zheng, D.; Zhong, H.; Qin, B.; Lin, J.; Wang, Y.; Song, F.; Li, Y.; et al. Metagenomic sequencing of diamondback moth gut microbiome unveils key holobiont adaptations for herbivory. Front. Microbiol. 2017, 8, 663. [Google Scholar] [CrossRef]
  54. Gonzalez-Serrano, F.; Perez-Cobas, A.E.; Rosas, T.; Baixeras, J.; Latorre, A.; Moya, A. The gut microbiota composition of the moth Brithys crini reflects insect metamorphosis. Microb. Ecol. 2020, 79, 960–970. [Google Scholar] [CrossRef] [PubMed]
  55. Chen, Y.; Zhou, H.; Lai, Y.; Chen, Q.; Yu, X.Q.; Wang, X. Gut microbiota dysbiosis influences metabolic homeostasis in Spodoptera frugiperda. Front. Microbiol. 2021, 12, 727434. [Google Scholar] [CrossRef]
  56. Voirol, L.R.P.; Frago, E.; Kaltenpoth, M.; Hilker, M.; Fatouros, N.E. Bacterial symbionts in lepidoptera: Their diversity, transmission, and impact on the host. Front. Microbiol. 2018, 9, 556. [Google Scholar] [CrossRef] [PubMed]
  57. Behar, A.; Yuval, B.; Jurkevitch, E. Gut bacterial communities in the Mediterranean fruit fly (Ceratitis capitata) and their impact on host longevity. J. Insect Physiol. 2008, 54, 1377–1383. [Google Scholar] [CrossRef] [PubMed]
  58. Dixon, R.; Kahn, D. Genetic regulation of biological nitrogen fixation. Nat. Rev. Microbiol. 2004, 2, 621–631. [Google Scholar] [CrossRef]
  59. Behar, A.; Yuval, B.; Jurkevitch, E. Enterobacteria-mediated nitrogen fixation in natural populations of the fruit fly Ceratitis capitata. Mol. Ecol. 2005, 14, 2637–2643. [Google Scholar] [CrossRef]
  60. Behar, A.; Jurkevitch, E.; Yuval, B. Bringing back the fruit into fruit fly-bacteria interactions. Mol. Ecol. 2008, 17, 1375–1386. [Google Scholar] [CrossRef]
  61. Zhao, X.; Zhang, X.; Chen, Z.; Wang, Z.; Lu, Y.; Cheng, D. The divergence in bacterial components associated with Bactrocera dorsalis across developmental sages. Front. Microbiol. 2018, 9, 114. [Google Scholar] [CrossRef] [Green Version]
  62. Fujii, Y.; Kubo, T.; Ishikawa, H.; Sasaki, T. Isolation and characterization of the bacteriophage WO from Wolbachia, an arthropod endosymbiont. Biochem. Biophys. Res. Commun. 2004, 317, 1183–1188. [Google Scholar] [CrossRef]
  63. Ahmed, M.Z.; Araujo-Jnr, E.V.; Welch, J.J.; Kawahara, A.Y. Wolbachia in butterflies and moths: Geographic structure in infection frequency. Front. Zool. 2015, 12, 16. [Google Scholar] [CrossRef] [Green Version]
  64. Duplouy, A.; Hornett, E.A. Uncovering the hidden players in Lepidoptera biology: The heritable microbial endosymbionts. PeerJ 2018, 6, e4629. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Tagami, Y.; Miura, K. Distribution and prevalence of Wolbachia in Japanese populations of Lepidoptera. Insect Mol. Biol. 2004, 13, 359–364. [Google Scholar] [CrossRef]
  66. Ahmed, M.Z.; Breinholt, J.W.; Kawahara, A.Y. Evidence for common horizontal transmission of Wolbachia among butterflies and moths. BMC Evol. Biol. 2016, 16, 118. [Google Scholar] [CrossRef] [Green Version]
  67. Carvalho, G.A.; Corrêa, S.A.; de Oliveria, L.O.; Chediak, M.; Siqueira, H.Á.A.; Guedes, R.N.C. Wolbachia strains, and lack of genetic diversity and parthenogenesis in Brazilian populations of Tuta absoluta (Lepidoptera: Gelechiidae). J. Appl. Entomol. 2018, 142, 905–910. [Google Scholar] [CrossRef]
  68. Mehrkhou, F.; Güz, N.; Çağatay, N.S.; Korkmaz, E.M. Analysis of genetic variation in an important pest, Tuta absoluta, and its microbiota with a new bacterial endosymbiont. Turk. J. Agric. For. 2021, 45, 111–123. [Google Scholar]
  69. Caparros Megido, R.; Haubruge, E.; Verheggen, F.J. First evidence of deuterotokous parthenogenesis in the tomato leafminer, Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae). J. Pest. Sci. 2012, 85, 409–412. [Google Scholar] [CrossRef]
  70. Abbes, K.; Chermiti, B. Propensity of three Tunisian populations of the tomato leafminer Tuta absoluta (Lepidoptera: Gelechiidae) for deuterotokous parthenogenetic reproduction. Afr. Entomol. 2014, 22, 538–544. [Google Scholar] [CrossRef]
Figure 1. The results of OTU and Venn analyses of T. absoluta from different geographical populations. Abbreviations: SP, Spain; XJ, Xinjiang; YN, Yunnan. (A) Statistics on the OTU number in each sample. (B) Venn diagram of OTUs.
Figure 1. The results of OTU and Venn analyses of T. absoluta from different geographical populations. Abbreviations: SP, Spain; XJ, Xinjiang; YN, Yunnan. (A) Statistics on the OTU number in each sample. (B) Venn diagram of OTUs.
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Figure 2. Analysis of alpha diversity indices of gut bacteria in T. absoluta from different geographical populations. Abbreviations: SP, Spain; XJ, Xinjiang; YN, Yunnan. (A) ACE index. (B) Chao 1 index. (C) Shannon index. (D) Simpson index.
Figure 2. Analysis of alpha diversity indices of gut bacteria in T. absoluta from different geographical populations. Abbreviations: SP, Spain; XJ, Xinjiang; YN, Yunnan. (A) ACE index. (B) Chao 1 index. (C) Shannon index. (D) Simpson index.
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Figure 3. Species distribution in all samples. Abbreviations: SP, Spain; XJ, Xinjiang; YN, Yunnan. (A) Relative abundance of the top 10 bacteria at the phylum level in T. absoluta from three geographical populations. (B) Relative abundance of the top 10 bacteria at the family level. (C) Relative abundance of the top 10 bacteria at the genus level.
Figure 3. Species distribution in all samples. Abbreviations: SP, Spain; XJ, Xinjiang; YN, Yunnan. (A) Relative abundance of the top 10 bacteria at the phylum level in T. absoluta from three geographical populations. (B) Relative abundance of the top 10 bacteria at the family level. (C) Relative abundance of the top 10 bacteria at the genus level.
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Figure 4. Beta diversity analysis of T. absoluta from different locations. Abbreviations: SP, Spain; XJ, Xinjiang; YN, Yunnan. (A) Principal coordinates analysis (PCoA) and (B) nonmetric multidimensional scaling (NMDS) based on the binary Jaccard distance. The reliability of NMDS with a stress value less than 0.2 is acceptable.
Figure 4. Beta diversity analysis of T. absoluta from different locations. Abbreviations: SP, Spain; XJ, Xinjiang; YN, Yunnan. (A) Principal coordinates analysis (PCoA) and (B) nonmetric multidimensional scaling (NMDS) based on the binary Jaccard distance. The reliability of NMDS with a stress value less than 0.2 is acceptable.
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Figure 5. Phylogenetic tree of Wolbachia infecting in T. absoluta and other insect species. The GenBank accession numbers of the sequences of other species are as follows: Pieris rapae (EU753171); Helicoverpa armigera (EU753172); Corcyra cephalonica (EU753167); Mamestra brassicae (EU753175); Plutella xylostella (EU753169); Spodoptera exigua (EU753173); Papaipema sciata (KJ125432); Speyeria idalia (KJ125433); Hesperia ottoe (KJ125435); Trichogramma deion (L02888); Myzus persicae (MG707970); Neonympha mitchellii mitchellii (KJ125431); Phengaris arion (KM517520); Aphis gossypii (MG707918); Drosophila melanogaster (AB360385); Ephestia kuehniella (AB360384); Bemisia tabaci (OK042302); Hypolimnas bolina jacintha (AB085178.1); Cnaphalocrocis medinalis (HQ336509); Brontispa longissimi (L02888); Spodoptera litura (KC915389); and Bactrocera dorsalis (MK860779).
Figure 5. Phylogenetic tree of Wolbachia infecting in T. absoluta and other insect species. The GenBank accession numbers of the sequences of other species are as follows: Pieris rapae (EU753171); Helicoverpa armigera (EU753172); Corcyra cephalonica (EU753167); Mamestra brassicae (EU753175); Plutella xylostella (EU753169); Spodoptera exigua (EU753173); Papaipema sciata (KJ125432); Speyeria idalia (KJ125433); Hesperia ottoe (KJ125435); Trichogramma deion (L02888); Myzus persicae (MG707970); Neonympha mitchellii mitchellii (KJ125431); Phengaris arion (KM517520); Aphis gossypii (MG707918); Drosophila melanogaster (AB360385); Ephestia kuehniella (AB360384); Bemisia tabaci (OK042302); Hypolimnas bolina jacintha (AB085178.1); Cnaphalocrocis medinalis (HQ336509); Brontispa longissimi (L02888); Spodoptera litura (KC915389); and Bactrocera dorsalis (MK860779).
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Table 1. Sampling locations and dates for the populations of Tuta absoluta.
Table 1. Sampling locations and dates for the populations of Tuta absoluta.
PopulationNo. GutsLocation (Collection Date)Longitude and LatitudeCrop
Xinjiang17Yili, Xinjiang, China; XJ (July 2020)81.7978, 43.1985Tomato, field
18
18
20
20
Yunnan17Yuxi, Yunan, China; YN (June 2020)102.5388, 24.3602Tomato, field
18
20
19
20
Spain18Barcelona, Spain; SP (December 2019)2.3806, 41.5655Tomato, field
18
19
21
20
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Wang, H.; Xian, X.; Gu, Y.; Castañé, C.; Arnó, J.; Wu, S.; Wan, F.; Liu, W.; Zhang, G.; Zhang, Y. Similar Bacterial Communities among Different Populations of a Newly Emerging Invasive Species, Tuta absoluta (Meyrick). Insects 2022, 13, 252. https://doi.org/10.3390/insects13030252

AMA Style

Wang H, Xian X, Gu Y, Castañé C, Arnó J, Wu S, Wan F, Liu W, Zhang G, Zhang Y. Similar Bacterial Communities among Different Populations of a Newly Emerging Invasive Species, Tuta absoluta (Meyrick). Insects. 2022; 13(3):252. https://doi.org/10.3390/insects13030252

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Wang, Hao, Xiaoqing Xian, Yujuan Gu, Cristina Castañé, Judit Arnó, Suran Wu, Fanghao Wan, Wanxue Liu, Guifen Zhang, and Yibo Zhang. 2022. "Similar Bacterial Communities among Different Populations of a Newly Emerging Invasive Species, Tuta absoluta (Meyrick)" Insects 13, no. 3: 252. https://doi.org/10.3390/insects13030252

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