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1 December 2013 Composition and Diversity Analysis of the Gut Bacterial Community of the Oriental Armyworm, Mythimna separata, Determined by Culture-Independent and Culture-Dependent Techniques
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Abstract

The intestinal bacteria community structure and diversity of the Oriental armyworm, Mythimna separata (Walker) (Lepidoptera: Noctuidae), was studied by analysis of a 16S rDNA clone library, denaturing gradient gel electrophoresis,and culture-dependent techniques. The 16S rDNA clone library revealed a bacterial community diversity comprising Cyanobacteria, Firmicutes, Actinobacteria, Gracilicutes and Proteobacteria, among which Escherichia coli (Migula) (Enterobacteriales: Enterobacteriaceae) was the dominant bacteria. The intestinal bacteria isolated by PCR-denaturing gradient gel electrophoresis were classified to Firmicutes, Proteobacteria, and Gracilicutes, and E. coli was again the dominant bacteria. The culture-dependent technique showed that the intestinal bacteria belonged to Firmicutes and Actinobacteria, and Staphylococcus was the dominant bacteria. The intestinal bacteria of M. separata were widely distributed among the groups Cyanobacteria, Firmicutes, Actinobacteria, Gracilicutes, Proteobacteria, and Gracilicutes. 16S rDNA clone library, denaturing gradient gel electrophoresis, and culture-dependent techniques should be integrated to obtain precise results in terms of the microbial community and its diversity.

Introduction

The Oriental armyworm, Mythimna separata (Walker) (Lepidoptera: Noctuidae), is a typical seasonal migrating pest in China that causes heavy losses to agricultural production and food security (Chen et al. 1995; Lee et al. 1995). For efficient control of M. separata, a lot of research on their biological and ecological habits has been performed, but little has been done relative to its population genetics and molecular ecology (Zhang and Zhai 2008). Mythimna separata is widespread in China and other countries and has been used as a test insect to explore new agricultural pesticides. For instance, the bioactivity of anthaddin (Zhang et al. 2003), coriaria lactone (Guo et al. 2007), tutin (Zhuang et al. 2007), Datura stramonium (Zhou et al. 2008), and celangulin V (Lü et al. 2008) have been measured based on M. separata. Recently, molecular biological approaches to the study of insect intestinal bacteria have received a great deal of attention, including studies on Reticulitermes speratus (Hongoh et al. 2003), Ixodes ricinus (Claudia et al. 2003), Apriona germari (Zhang et al. 2004), Hepialus gonggaensis (Liu et al. 2001; Zhuo et al. 2005), Bombyx mori (Xiang et al. 2007), and Apis mellifera, Vespula vulgaris, Vespa crabro, and Nauphoeta cinerea oliv (Mrazek et al. 2008). The insect guts may represent a large source of microbial diversity. These bacteria utilize a wide range of organic polymers and can be involved in methanogenesis and nitrogen fixation (Nardi et al. 2002). The gut microflora also play an important role in pheromone production, pesticide degradation, vitamin synthesis, and pathogen prevention (Reeson et al. 2003). In addition, these bacteria also take part in resisting the invasion and propagation of microbes and strengthening the function of the immune system (Dillon et al. 1995, 2002a, 2002b; Tokuda et al. 1997). Therefore, analysis of the composition and diversity of the intestinal bacteria of M. separata have application value in pest biocontrol and new pesticide exploration.

Bacterial communities in insect guts have been studied mainly by the cultivationdependent technique, which does not reflect the entire microbial communities (Gilliam et al. 1997). 16S rDNA genes, which exist in all nuclear biological cells, have been widely used to estimate the diversity of the insect gut bacterial microbiota (Reeson et al. 2003; Broderick et al. 2004). However, little information is available on the gut bacterial communities of many insects, including M. separata. In our study, a detailed analysis of bacterial diversity and community structure in the gut of the M. separata is reported, through the construction of the 16S rDNA clone library, PCR denaturing gradient gel electrophoresis (DGGE), and culturedependent techniques. The objective of this work was to demonstrate the bacterial community structure and diversity in M. separata, which would help to provide a novel method of pest biocontrol and to explore potential pesticides as well.

Materials and Methods

Sample collection

The M. separata were purchased from Northwest A&F University biorational pesticide research center, China. Corn leaves were used for food, and the insects were maintained at 22 ± 1° C. The isolated guts of 10 starved M. separata were put on ice and gently crushed using a pestle in liquid nitrogen. The entire experiment was repeated three times.

DNA extraction and 16S rDNA amplification

The DNA extraction of culture bacteria and intestinal total bacteria was performed according to the procedure described by Yuan et al. (2009). The quality of genomic DNA was analyzed on 1.0% agarose gel, followed by staining with ethidium bromide.

The universal primers 27mf (5′- AGA GTT TGA TCM TGG CTC AG -3′) and 1492r (5′- ATG GGY TAC CTT GTT ACG ACT T -3′) (Weisburg et al. 1991) were used to amplify the full-length 16S rDNA gene of the culturable bacteria. 357f-GC (5- GCclamp-CCT ACG GGA GGC AGC AG -3) and 517r (5′- ATT ACC GCG GCT GCT GG -3′) were used to amplify thel6S rDNA V3 region for DGGE, 341F (5′- CCT ACG CGA GGC AGC AG -3′) and 517r (5′- ATT ACC GCG GCT GCT GG -3′) (Muyzer et al. 1993) for the construction of a cloning library. The amplification was performed in a 50 µL reaction mixture consisting of 25 µL 2x ES Taq MasterMix (CWBio,  www.cwbiotech.com), 2 µL each primer, 2 µL genomic DNA, and 19 µL RNA-free water. The PCR reaction was performed in a DNA Engine Dyad Peltier Thermal Cycler (Bio-Rad,  www.bio-rad.com). The PCR amplification conditions were as follows: predenaturing at 94° C for 5 min, followed by 29 cycles of 94° C for 1 min, 55° C for 1 min, 72° C for 1.5 min, and a final extension at 72° C for 10 min. Finally, the amplification product was purified using a universal DNA purification kit (TIANGEN,  www.tiangen.com).

Isolation and culture of the intestinal bacteria

Guts of ten healthy M separata larvae were homogenized in 1 mL sterilized distilled water, and then serial 8-fold dilutions were made, also using sterilized distilled water. Aliquots (0.1 mL) of the 10-3 to 10-5 dilutions were spread onto conventional agar plates (potato dextrose agar, nutrient agar medium, beef-extract-peptone-dextrose, Miller and Schroth medium, and glucose ammonium salt culture medium. The plates were cultivated for 48 hr at 37° C. Selected different bacteria strains were pure cultured for 48 hr at 37° C, then extracted DNA from pure cultured strains was selected for PCR and sequencing.

Construction of 16S rDNA library

The intestinal total bacteria DNA of M separata was amplified and purified according to the above DNA extraction and amplification process. PCR products were cloned into pUCm-T according to the manufacturer's instructions (Sangon,  www.sangon.com) and then transported into competent cells (SK2301, Sangon). Plasmid insertions were screened following the manufacturer's instructions. Segment size was checked by PstI single enzyme cut and agarose gel electrophoresis to confirm whether the target fragment was present or not. The cloning vector was sequenced by the universal primer ml3.

DGGE analysis

DGGE was performed with the Dcodek Universal Mutation Detection System (Bio-Rad), according to the manufacturer instructions. DGGE of the amplified 16S rDNA gene was performed with 8% acrylamide gel containing a denaturant gradient of 35–60% (100% defined as urea 7 M, 40% deionized formamide). The total of PCR products was concentrated to a 30 µL final volume and loaded on gel, which was electrophoresed at a constant voltage of 80 V for 1 hr, 60 V for 16 hr, and 60° C in 1 TAE buffer (40 mM Tris, 20 mM acetate, 1.0 mM Na2-EDTA). After electrophoresis, DGGE gel was stained with ethidium bromide and photographed with UV transillumination. Then, characteristic bands were excised from the gel and dissolved with sterilized distilled water at 4° C for a night. The supernatant after centrifugation (10000 rpm, 5 min, 4° C) was used as a DNA template for 16S rDNA-V3 amplification using the same primers without a GC-clamp. The PCR products were analyzed by electrophoresis in 1.5% agarose gel. Finally, the amplification products were purified using a universal DNA purification kit and sequenced.

Phylogenetic sequence analysis

The sequences were compared with known sequences listed in the GenBank nucleotide sequence databases. The BLAST search option of the National Center for Biotechnology Information (NCBI) (GenBank ID: BA123456) ( http://www.ncbi.nlm.nih.gov) was used to search for close evolutionary relatives in the GenBank database (Altschul et al. 1997). A neighbor-joining tree of the aligned sequences was constructed using MEGA 5.0 (Kumar et al. 2001).

Figure 1.

The phylogenetic tree of Mythimna separata intestinal bacteria obtained using the culture-dependent method. The following reference species were used: Staphylococcus saprophyticus: B-5, B-7, B-8; Staphylococcus equorum: B-6; Staphylococcus sciuri: M-2; Arthrobacter. G-2; Bacillus pumilus: N-3, N-7, N-8, M-3; Enterococcus faecium: B-4; Enterococcus mundtii: N-2, N-4, N-6; Bacillus safensis: P-. High quality figures are available online.

f01_01.jpg

Results

Cultured bacterial community of M. separata

In our study, 30 bacterial strains were isolated from five different culture mediums, and 20 16S rDNA sequences were obtained with the BLAST search from the database of the National Center of Biotechnology Information. Four bacterial strain sequences were the same as the strain B-5, and one was the same as the N-4 strain, so these strains are not seen in Figure 1. The cultured bacterial sequences obtained in our study are available in the GenBank nucleic acid sequence database under the accession numbers JN995574–JN995588. The results of our study were compared the identities of these bacterial strain sequences to the reported sequences in the NCBI database, and they were over 99% similar, except M-3, which only had 97% similarity with Bacillus pumilus Meyer and Gottheil (Bacillales: Bacillaceae). Four different phylotypes were isolated. Staphylococcus was the dominant component (9/20, 45%). The other strains belonged to the genera Bacillus, Arthrobacter, and Enterococcus. The identities of these strain sequences reported in the NCBI database were over 99%. The neighbor-joining method of MEGA 5 was used to construct a phylogenetic tree (Figure 1). The results indicated that Staphylococcus saprophyticus (Fairbrother) (Bacillales: Staphylococcaceae) (7/9, 77.78%), B. pumilus (3/4, 75%) and Enterococcus mundtii Collins (Lactobacillales: Enterococcaceae) (4/5, 80%) were the dominant species.

Table 1.

The intestinal bacteria 16S rDNA sequences identified by the clone library.

t01_01.gif

Different bacterial culture strains were isolated from five bacterial culture mediums. The results showed that more bacteria, including Enterococcus, Bacillus, Staphylococcus, were isolated from NA and Miller and Schroth media than other media. Staphylococcus and Enterococcus were isolated from the beef-extract-peptone-dextrose medium. Arthrobacter and Bacillus were isolated from both the glucose ammonium salt culture medium and the potato dextrose agar medium.

Construction of 16S rDNA gene clone library

The 16S rDNA gene clone library consisted of 100 clones from M. separata. Twenty typical clones were selected to sequence. According to the sequences, intestinal bacteria were classified into four domains: Firmicutes, Actinobacteria, Gracilicutes, and Proteobacteria. Thirteen clones were clustered to Proteobacteria and nine clones of those were closely related to the genus Escherichia. Four clones of these had a high degree of similarity (100%) to the previously sequenced organisms Ralstonia pickettii (clone NC-78), Ochrobactrum anthropi (clone NC-54), and Beta-proteobacteria (clones NC-42 and NC-62). Firmicutes and Actinobacteria had one clone each, Enterococcus mundtii and Frigoribacterium, respectively. Three clones had high identities with uncultured bacterium sequences from the NCBI database (clones NC-56, NC-15, and NC-92) (Table 1). All the clone sequences obtained in our study have been assigned to the GenBank nucleic acid sequence database, with accession numbers JQ013040– JQ013059.

DGGE pattern and phylogenetic analysis of the intestinal bacteria of M. separata

For phylogenetic identification, sequences were compared with 16S rDNA sequence information of known bacteria listed in the GenBank databases. The predominant DGGE bands of M. separata intestinal bacteria are shown in Figure 2, and the results of phylogenetic analysis are shown in Figure 3, revealing the presence of a variety of different genera. Eight bacterial sequences were divided into three main groups through neighbor joining analysis: Firmicutes, Proteobacteria, and Gracilicutes. Similarity values were between 99% and 100% to Enterococcus (band 3), Pantoea (band 8), Pseudomonas (band 2), Escherichia (band 5), and Staphylococcus (band 9). Band 7 was the most closely related (91%) to Pseudomonas, bands 4 and 6 had highly similar identities (100%) to uncultured bacterium sequences from the NCBI database (FJ490436.1 and HMI 15934.1). All the DGGE sequences obtained in this study have been assigned to the GenBank nucleic acid sequence database, with accession numbers JQ039351– JQ039358.

Figure 2.

Detail of the ethidum-bromide-stained 16s rDNA DGGE fingerprints of Mythimna separata intestinal bacteria. The following reference species were used: M. separata (1), Pseudomonas aeruginosa (2), Enterococcus mundtii (3), Escherichia coli (5), Pantoea (8), Staphylococcus gallinarum (9), uncultured bacterium (4, 6, 7). Three electrophoresis lanes were the repetition of the sample. High quality figures are available online.

f02_01.jpg

Figure 3.

The phylogenetic tree of Mythimna separata intestinal bacteria obtained using DGGE. The following reference species were used: M. separata (1), Pseudomonas aeruginosa (2), Enterococcus mundtii (3), Escherichia coli (5), Pantoea (8), Staphylococcus gallinarum (9), uncultured bacterium (4, 6, 7). High quality figures are available online.

f03_01.jpg

Compared M. separata intestinal bacteria gained by different methods

Eleven known bacterial genera were isolated by three methods in this experiment. Table 2 shows that the construction gene library of bacterial species was detected to be the highest percentage, accounting for 72.72% (8/11). DGGE accounted for 45.45% (5/11), and culture-dependent accounted for 36.36% (4/11). The common bacteria determined by construction of the gene library, DGGE separation, and conventional culture was Enterococcus. Bacillus, Arthrobacter, and Staphylococcus were only isolated by culture-dependent methods, while Escherichia, Beta proteobacterium, Frigoribacterium, Ochrobactrum, Pantoea, Pseudomonas, and Ralstonia were detected by molecular biology methods (PCR-DGGE and construction of the gene library) (Table 2).

Table 2.

Comparison of intestinal bacteria gained by different methods.

t02_01.gif

Discussion

The culture-independent nucleic acids-based techniques, such as DGGE and clone library techniques, were used to reveal the intestinal bacteria community structure of M. separata. Eleven genera of intestinal bacteria in M. separata were isolated in this study. Different intestinal bacteria were obtained by three methods. Four genera of intestinal bacteria were gained by culture-dependent techniques, among which Staphylococcus was the predominant bacteria. Escherichia was the predominant genus among the six genera of intestinal bacteria isolated by constructing the clone library and the five genera of intestinal bacteria isolated by DGGE. The intestinal bacteria of M. separata obtained from construction of the gene library were greater in number than the number obtained using the DGGE and culture-dependent methods, indicating that the construction of the gene library revealed higher bacterial diversity than the DGGE and culturedependent methods. Thus, the construction of a gene library could identify the most bacteria strains, while DGGE isolated the predominant bacteria, and the culturedependent method was useful for identifying a few bacteria. Using DGGE or a culturedependent technique alone reduces the integrity of the experimental results and results in a lower diversity of bacteria. Moreover, the three methods showed different predominant bacteria. The difference in results is because the culture-dependent technique inevitably screens for microorganisms. For instance, some of the bacteria present in low amounts would grow rapidly and become the dominant bacteria in a short time, while some highly abundant bacteria could not be identified, because the artificial separation culture conditions are not suitable for their growth. In addition, most of the highly abundant bacteria gained by molecular biology methods cannot be isolated or cultured by traditional bacteria culture methods, and bacteria isolated by culture-dependent techniques often exhibited low abundance when molecular biology methods are used.

DGGE band 1 was identified as 18S rDNA of M. separata. Comparative sequence analysis revealed that the universal primer 517r completely annealed to the M. separata 18S rDNA. Although primer 341f is a bacterial-specific 16S rDNA primer, and comparison to the M. separata 18S rDNA sequence revealed four unannealed base pairs, 18S rDNA was amplified with the primer set 341f and 517r under the given PCR conditions (Claudia et al. 2003). Nested PCR and touch down PCR amplification could increase the specificity of the 16S rDNA amplification and circumvent this problem.

Most of the bacteria that were isolated in this study have been found in other insects. Species of the genus Staphylococcus, which are gram-positive bacteria and typically unpathogenic, can often be found in the gut of insects. Eutick et al. (1978) reported the intestinal bacteria of 10 kinds Australia termites and found that Staphylococcus was the predominant bacteria. Staphylococcus was also isolated from the gut of Apriona germari with traditional culture-dependent techniques (Zhang et al. 2004), from Hepialus gonggaensis by culture-dependent and culture-independent techniques (Zhuo et al. 2005), and from Bombyx mori using library sequence analysis (Xiang et al., 2007). Therefore, Staphylococcus is the normal intestinal bacteria of many insects. From the point of view of animal micro-ecology, the nature, amount, and location conditions of the normal gut microflora may have a very close relationship to insect nutrition and digestive physiology (He et al. 1994). Lots of research has been done on the mechanism of action in Bacillus, Pseudomonas, Escherichia., and Enterococcus. Mead et al. (1988) studied one kind of grasshopper (Melanoplus sanguinipe) intestinal Enterococcus and found that many Enterococcus species could produce acetate, and speculated that the accumulation of a large amount of acetate reduced the intestinal pH of the grasshopper. Broderick et al. (2004) surveyed the intestinal bacteria of Lymantria dispar larvae and found that Enterococcus was the dominant bacterium; furthermore, the authors suggested that reducing intestinal pH could protect the host from toxins. Prescott et al. (2002) found that the common characters of Pseudomonas and Escherichia species were organic nutrition and facultative anaerobes, and that they could degrade carbohydrates via glycolysis and the pentose phosphate pathway.

Yang et al. (2010) found Bacillus, Pseudomonas, Pantoea, and Proteus in the gut of Apis mellifera ligustica. Both He et al. (2001) and Zhang et al. (2004) found Staphylococcus, Bacillus, Escherichia, and Proteus in the gut of Apriona germari. Broderick et al. (2004) found Bacillus, Pseudomonas, Pantoea, Staphylococcus, and Enterococcus in the gut of Lymantria dispar. So, we speculated that the gut bacterial community composition of M separata would have many similarities with insects of Hymenoptera, Coleoptera, and Lepidoptera. These insects have different living conditions, habits and food, but Bacillus, Pseudomonas, Pantoea, Staphylococcus, Enterococcus, Proteus, and Escherichia were found in M separata guts. This indicated that these intestinal bacteria have no relationship with feeding methods and that they are the intrinsic gut bacteria of insects.

As shown in our study, three methods were used to identify bacterial diversity of M. separata. Nevertheless, as with each method, the applied approach is not free from bias. Limitations such as preferential amplification of 16S rDNA of some bacterial taxons (Farrelly et al. 1995; Polz and Cavanaugh 1998) and identical electrophoretic migration of sequences with multiple differences lead to an underestimation of bacterial diversity in DGGE community fingerprints (Jackson et al. 2000). In addition, DGGE bands have short sequences (about 150 bp in the present study, which may have affected the resolution of the taxa on the plots and may limit the available analysis (Asakawa and Kimura 2008)). Clone library analysis can identify more bacterial strains, but are not suitable for handling multiple samples due to heavy workload and high cost. Culture-dependent methods cannot reveal bacterial community effectively, because most of bacteria have strict living conditions. Therefore, culture-independent and culture-dependent methods should be combined so that the composition of microbial community structure and diversity can be better revealed.

Glossary

Abbreviations:

DGGE,

denaturing gradient gel electrophoresis

Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 31170608). We thank professor T.-X. Liu, Northwest A&F University, for assisting with PCR-DGGE techniques.

References

1.

SF Altschul , TL Madden , AA Schaffer , J Zhang , Z Zhang , W Miller , DJ. Lipman 1997. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Research 25: 3389– 3402. Google Scholar

2.

S Asakawa , M. Kimura 2008. Comparison of bacterial community structures at main habitats in paddy field ecosystem based on DGGE analysis. Aoil Biology & Biochemistry 40:1322–1329. Google Scholar

3.

NA Broderick , KF Raffa , RM Goodman , J. Handelsman 2004. Census of the bacterial community of the gypsy moth larval midgut by using culturing and culture-independent methods. Applied and Environmental Microbiology 70(1): 293–300 Google Scholar

4.

RL Chen , YJ Sun , SY. Wang 1995. Migration of the oriental armyworm Mythinma separata in East Asia in relation to weather and climate. In: VA Drake , AG Gatehouse , Editors. Insect migration: tracking resources through space and time. pp. 93–104. Cambridge University Press. Google Scholar

5.

SG Claudia , L Werner , R. Sabine 2003. Application of broad-range 16S rRNA PCR amplification and DGGE fingerprinting for detection of tick-infecting bacteria. Journal of Microbiological Methods 52: 251–260. Google Scholar

6.

RJ Dillon , AK. Charnley 2002. Mutualism between the desert locust Schistocerca gregaria and its gut microbiota. Research In Microbiology 153(8): 503–509. Google Scholar

7.

RJ Dillon , CT Vennard , AK. Charnley 2002. Gut bacteria produce components of a locust cohesion pheromone. Journal of Applied Microbiology 92: 759–763. Google Scholar

8.

RJ Dillon , AK. Charnley 1995. Chemical Barriers to Gut Infection in the Desert Locust: In Vivo Production of Antimicrobial Phenols Associated with the Bacterium Pantoea agglomerons. Journal of Invertebrate Pathology 66: 72–75. Google Scholar

9.

ML Eutick , RW Obrien , M. Slaytor 1987. Bacteria from the gut of Australian Termites. Applied and Environmental Microbiology 35(5): 823–828. Google Scholar

10.

V Farrelly , FA Rainey , E. Stackebandt 1995. Effect of genome size and rrn gene copy number on PCR amplification of 16S rRNA genes from a mixture of bacterial species. Applied and Environmental Microbiology 61: 2798–2801. Google Scholar

11.

M. Gilliam 1997. Identification and roles of non-pathogenic microflora associated with honey bees. Fems Microbiology Letters 155: 1–10. Google Scholar

12.

XR Guo , YL Zhang , ML. Li 2007. Effect of Coriaria Lactone on the Activities of Three Enzymes in Mythimna separata. Acta Botanica Boreali-Occidentalia Sinica. 27(8) 1656–1660. Google Scholar

13.

MQ. He 1994. Animal ecology. China Agriculture Press. Google Scholar

14.

ZB He , YP Yin , YQ Cao , YM Dong , W. Zhang 2001. The bacterial community of the gut of Apriona germari larvae. Acta Microbiologica Sinica 41(6): 471–473. Google Scholar

15.

CR Jackson , EE Roden , PF. Churchill 2000 Denaturing gradient gel electrophoresis can fail to separate 16S rDNA fragments with multiple base differences. Journal of Molecular Biology 1: 49–51. Google Scholar

16.

S Kumar , K Tamura , IB Jakobson , M. Nei 2001. MEGA2: Molecular Evolutionary Genetics Analysis software. Bioinformatics 17: 1244–1245. Google Scholar

17.

JH Lee , KB. Uhm 1995. Migration of the oriental armyworm Mythimna separata in East Asia in relation to weather and climate.. In: VA Drake , AG Gatehouse , Editors. Insect migration: tracking resources through space and time. pp. 105–116. Cambridge University PressGoogle Scholar

18.

L Liu , ZK Wang , HW Yu , SH Chen , GF Yan , YY Xia , YP. Yin 2001. Analysis of the bacteria diversity in intestines of Hepialus gonggaensis larvae. Acta Microbiologica Sinica 48(5): 616–622. Google Scholar

19.

M Lü , J Kou , HX Liu , WJ. Wu 2008. Studies on the induction of celangul in V to cytochrome P450 and glutathione S-transferase of armyworm, Mythimna separata. Journal of Northwest Agricultural and Forestry University (Natural Science Edition) 36(6): 180–184. Google Scholar

20.

LJ Mead , GG Khachatourians , GA. Jones 1988. Microbial ecology of the gut in laboratory stocks of the migratory grasshopper, Melanoplus sanguinipes (Fab) (Orthoplera: Acrididae). Applied and Environmental Microbiology 54(5): 1174– 1181. Google Scholar

21.

J Mrazek , L Strosova , K Fliegerova , T Kott , J. Kopecny 2008. Diversity of insect intestinal microflora. Folia Microbiologica 53 (3): 229–233. Google Scholar

22.

G Muyzer , EC DeWaal , AG. Uitterlinden 1993. Profiling of complex microbial populations by denaturing gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA. Applied and Environmental Microbiology 59: 695–700. Google Scholar

23.

JB Nardi , RI Mackie , JO. Dawson 2002. Could microbial symbionts of arthropod guts contribute significantly to nitrogen fixation in terrestrial ecosystems. Journal of Insect Physiology 48: 751–763. Google Scholar

24.

MF Polz , CM. Cavanaugh 1998. Bias in template-to-product ratios in multitemplate PCR. Applied and Environmental Microbiology 64: 3724–3730. Google Scholar

25.

LM Prescott , JP Harley , AK. Donald 2002. Microbiology. 5th edition, pp. 498–507. Higher Education Press/McGraw- Hill Companies. Google Scholar

26.

AF Reeson , T Jankovic , ML Kasper , S Rogers , AD. Austin 2003. Application of 16S rDNA- DGGE to examine the microbial ecology associated with a social wasp Vespula germanica. Insect Molecular Biology 12: 85–91. Google Scholar

27.

G Tokuda , H Watanabe , T. Matsumoto 1997. Cellulose digestion in the wood-eating higher termite Nsutiterme takasafoensis (Shiraki): distribution of cellulase and properties of Endo-ß-1,4-glucanase. Zoological Science 14: 83–97. Google Scholar

28.

H Xiang , MW Li , Y Zhao , LP Zhao , YH Zhang , YP. Huang 2007. Bacterial community in midguts of the silkworm larvae estimated by PCR-DGGE and 16S rDNA gene library analysis. Acta Entomologica Sinica 50(3): 22–233. Google Scholar

29.

XJ Yuan , HP Li , DZ Huang , QX Huang , XY Su , XJ. Hou 2009. Genomic DNA extraction and optimization of PCR reaction system of Apriona germar intestinal bacteria. Science of Sericulture 35(2): 379–383. Google Scholar

30.

W Zhang , ZB He , XP Deng , YP. Yin 2004. Variety and distribution of intestinal flora of Apriona germari larvae. Journal Southwest Agricutural University (Natural Science Edition) 26(2): 169–172. Google Scholar

31.

GY Zhang , BP. Zhai 2008. Construction and identification of enriched microsatellite library from Pseudaletia separata genome. Acta Microbiologica Sinica 28(8): 3860–3867. Google Scholar

32.

YL Zhang , Y Zhuo , ZY. Zhang 2003. Effect of cantharidin on the midgut of the orient armyworm (Mythimna separata) and diamondback moth (Plutelia xylostelia). Acta Entomologica Sinica 46(3): 272–276. Google Scholar

33.

J Zhou , GF Hu , MY Liu , YQ Li , JJ Li , HT. Yu 2008. Contact and antifeeding effects on four species of the genus Datura against Mythimna separata and Pierisrapae. Journal of Gansu Agricutural University 3: 102–106. Google Scholar

34.

SH Zhuang , N Zong , ML. Li 2007. Tutin' s effect on poisoned larvae's malpighian tubules and midgut tissue. Journal of Northwest A & F University (Natural Science Edition) 35(7): 127–130 Google Scholar

35.

FP Zhuo , SJ Chen , YP Yin , ZK Wang , YX. Xia 2005. The analysis of intestinal bacteria community of Hepialus gonggaensis larvae. Acta Microbiologica Sinica 27(11): 26–29. Google Scholar

36.

WG Weisburg , SM Barns , DA Pelletier , DJ. Lane 1991. 16S ribosomal DNA amplification for phylogenetic study. Journal of Bacteriology 173(2): 697–703. Google Scholar
Copyright: This is an open access paper. We use the Creative Commons Attribution 3.0 license that permits unrestricted use, provided that the paper is properly attributed.
Cai He, Xiaoning Nan, Zhengqing Zhang, and Menglou Li "Composition and Diversity Analysis of the Gut Bacterial Community of the Oriental Armyworm, Mythimna separata, Determined by Culture-Independent and Culture-Dependent Techniques," Journal of Insect Science 13(165), 1-11, (1 December 2013). https://doi.org/10.1673/031.013.16501
Received: 22 May 2012; Accepted: 1 July 2012; Published: 1 December 2013
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