Literature DB >> 24926421

fAFLP analysis of Brazilian Bacillus thuringiensis isolates.

Fernando Hercos Valicente1, Rosane Bezerra da Silva2.   

Abstract

A total of 65 Bacillus thuringiensis (Bt) isolates were subjected to analysis of genetic relationship using fAFLP (fluorescent Fragment Length Polymorphism), in order to determine the genetic diversity within a group of Bt strains. 26 strains from different subspecies were identified as it follows: 9 kindly provided by the USDA (United States Department of Agriculture), 9 kindly provided by the Institute Pasteur and eight from Embrapa Maize and Sorghum Bt Collection, and 39 strains with no subspecies information also from Embrapa's Bt Collection. DNA sample was double digested with restriction enzymes EcoRI and MseI, and the fragments were linked to adapters. Selective amplification reactions were performed using five primer combinations and the amplified fragments were separated by gel electrophoresis on an ABI377 sequencer. Genetic distances were obtained by the complement of the Jaccard coefficient and the groups were performed by the UPGMA method. Five primer combinations generated 495 scorable fragments and 483 were found to be polymorphic. Out of 26 subspecies, strains 344 and T09 (B. thuringiensis subsp. tolworthi) showed the highest similarity (15%), while isolates HD3 B. thuringiensis subsp finitimus and T24 B. thuringiensis subsp neoleonensis were the most genetically distant (92%). B. thuringiensis isolates with no subspecies identification, found in samples from Goiás State showed higher similarity forming a group with an average distance of 6%, and the closest subspecies to this group was B. thuringiensis subsp thuringiensis (HD2) with 52% of similarity. This similarity may be due to the fact that these organism exchange genetic material by conjugation, and it is relatively common to have evolutionary characteristics of their ancestors.

Entities:  

Keywords:  AFLP; Bacillus thuringiensis; Genetic diversity; Restriction enzymes

Year:  2014        PMID: 24926421      PMCID: PMC4047271          DOI: 10.1186/2193-1801-3-256

Source DB:  PubMed          Journal:  Springerplus        ISSN: 2193-1801


Background

Bacillus thuringiensis (Bt) is a rod-shaped, Gram-positive soil bacterium characterized by its ability to produce crystalline inclusions called “Cry proteins, Cry toxins or Bt toxins” during sporulation. The crystalline inclusions along with the spores have a high potential to control a great number of insect pests belonging to the order Lepidoptera, Diptera and Coleoptera (Vidyarthi et al. 2002; Yamamoto and Dean 2000). B. thuringiensis can be found in different substrates such as soil, water, plant surfaces, dead insects, grain dust, and stored grain (Glare and O’Callaghan 2000; Valicente and Barreto 2003), and it is a useful alternative or zment to synthetic chemical pesticide applications in commercial agriculture, horticulture, forest management, and mosquito control (De Maagd et al. 1999). B. thuringiensis also has high genetic variability and are widely distributed in nature (Vilas-Boas et al. 2002 Martin and Travers 1989 Hossain et al. 1997). The polymerase chain reaction (PCR) has been used to identify specific cry genes and characterize B. thuringiensis strains with a high degree of success (Chak et al. 1994; Cerón et al. 1994, 1995; Shangkuan et al. 2001; Lima et al. 2002; Valicente et al., 2010). The Amplified Fragment Length Polymorphism (AFLP) technique is based on the detection of genomic restriction fragments by PCR amplification, and can be used for DNAs of any origin or complexity (Vos et al. 1995). AFLP may be used as a tool for bacterial taxonomy and has shown utility in detecting molecular variability in very closely related bacterial strains (Jansen et al. 1997; Burke et al. 2004; Grady et al. 2001). The fAFLP (flurescent Amplified Fragment Length Polymorphism) use markers with fluorescent substances, the use of primers labeled with a fluorochrome, associated with automatic sequencers and a large capacity for computational analysis (Ryu et al. 2005; Burke et al. 2004). Spodoptera frugiperda (Smith) is responsible for significant losses in maize production in Brazil. Its control is mainly achieved using chemical insecticides. However, biological control using B. thuringiensis and the production of genetically modified plants with insect resistance genes are excellent alternatives to control this insect (Valicente and Barreto 2003). The purpose of the present study was to use fAFLP for molecular analysis and characterization of B. thuringiensis strains that were previously tested against S. frugiperda, and to determine the degree of genetic variability and correlation between different genotypes of public strains of B. thuringiensis and strains sampled in different Brazilian regions.

Materials and methods

B. thuringiensis strains

Of a total of 65 B. thuringiensis strains used in this research (Table 1), 26 strains from different subspecies were identified as it follows: 9 kindly provided by the USDA (United States Department of Agriculture), 9 kindly provided by the Institute Pasteur and eight from Embrapa Maize and Sorghum Bt Collection. Also, 39 strains with no subspecies information also from Embrapa’s Bt Collection (Table 1). The words subspecies and serovar were used interchangeably as given by Zeigler (1999). All strains have been previously tested against fall armyworm, S. frugiperda (Lepidoptera: Noctuidae J.E. Smith) (Valicente and Fonseca 2004; Valicente and Barreto 2003), and showed different toxicity activity. These strains are stored in glycerol in a freezer at – 20°C.
Table 1

serovars used in this study, with mortality against fall armyworm,

Bt subspeciesStrain identificationMortality (%)*OriginStrain identificationMortality (%)*Origin
1 alesti HD-46.8USA 34 1109 N100Goiás State/Brazil
2 alesti 348B100Paraná State/Brazil 35 1145B100Goiás State/Brazil
3 aizawai T-0780.8France 36 1145C100Goiás State/Brazil
4 aizawai HD-117.8USA 37 1148 F100Goiás State/Brazil
5 galleriae 462A100Paraná State/Brazil 38 1132E100Goiás State/Brazil
6 galleriae 474100Paraná State/Brazil 39 1135B100Goiás State/Brazil
7 galleriae 348 L100Paraná State/Brazil 40 1136B100Goiás State/Brazil
8 galleriare HD-2912.8USA 41 1139 K100Goiás State/Brazil
9 tolworthi 344100Paraná State/Brazil 42 BTLM100Goiás State/Brazil
10 tolworthi T-09100Françe 43 1644100Paraná State/Brazil
11 tolworthi 426100Ceará State/Brazil 44 1641100Paraná State/Brazil
12 tolworthi 461A100Paraná State/Brazil 45 701A100São Paulo State/Brazil
13 darmstadiensis 460100Paraná State/Brazil 46 1658100São Paulo State/Brazil
14 darmstadiensis T-1077.9France 47 1646100São Paulo State/Brazil
15 entomocidus T-069.8France 48 701B100São Paulo State/Brazil
16 neoleonensis T-2417.9France 49 1648100São Paulo State/Brazil
17 mexicanensis T-2717France 50 1438100Sergipe State/Brazil
18 japonensis T-2333.5France 51 1438H100Sergipe State/Brazil
19 indiana T-1612.2France 52 1089E95.8Minas Gerais/State/Brazil
20 kurstaki HD-732.7USA 53 1091H95.8Minas Gerais State/Brazil
21 kurstaki HD-10USA 54 1604D95.2Amazônia State/Brazil
22 morrisoni HD-1228USA 55 160595.2Amazônia State/Brazil
23 dendrolimus HD-75.4USA 56 1657100Amazônia State/Brazil
24 finitimus HD-35.2USA 57 1656100Alagoas State/Brazil
25 thuringiensis HD-237.8USA 58 1603B100Santa Catarina State/Brazil
26 israelensis T-140France 59 1626C97.6Maranhão State/Brazil
27 1119C100Goiás State/Brazil 60 70297.6Mato Grosso State/Brazil
28 1124E100Goiás State/Brazil 61 1354100Minas Gerais State/Brazil
29 1131A 100Goiás State/Brazil 62 1355SLO100Minas Gerais State/Brazil
30 1131C100Goiás State/Brazil 63 1357E100Paraná State/Brazil
31 1132A 100Goiás State/Brazil 64 566100Paraná State/Brazil
32 1132C100Goiás State/Brazil 65 1355LM100Minas Gerais State/Brazil
33 1138G100Goiás State/Brazil

*Mortality results from Valicente and Barreto 2003 and Valicente and Fonseca 2004.

serovars used in this study, with mortality against fall armyworm, *Mortality results from Valicente and Barreto 2003 and Valicente and Fonseca 2004.

Bacterial cultures

B. thuringiensis isolates were inoculated into 5 ml LB medium enriched with salts and glucose (all expressed in g.l−1, 0.002 g of FeSO4, 0.02 g of ZnSO4, 0.02 g of MnSO4, 0.3 g of MgSO4) and 2% glucose, with pH adjusted to 7.2. The shaking flasks were incubated at a stirrer speed of 250 rpm for 16 h at 28°C. Colonies were observed on a phase contrast microscope.

DNA extraction

Genomic DNA from B. thuringiensis strains was isolated and purified according to Shuhaimi et al. (2001) with modifications. A volume of 5 ml of an overnight culture was centrifuged at 4600 g for 5 min. The pellet was washed with sterile distilled water and resuspended in 700 μl glucose/Tris/EDTA buffer (50 mM glucose, 25 mM Tris/HCl and 10 mM EDTA, pH 8). Lysozyme was added to the bacterial suspension at 20 mg/ml and incubated at 37°C for 30 min. The cells were additionally lysed by adding 15 μl 20% (w/v) SDS. Five μl of proteinase K at 20 mg/ml was added and incubated at 65°C for 1 h to complete protein digestion. Five hundred μl of Phenol/chloroform/isoamyl alcohol (25:24:1 by vol.) was added and centrifuged at 12.000 g for 1 min. Three hundred μl of the aqueous upper layer was then transferred into a sterile new tube and an equal volume of 3 M potassium acetate (pH 5.2), and a double volume of 2-propanol were added. The mixture was then centrifuged at 12.000 g for 7 min. The supernatant was carefully discarded. The pellet was washed with 70% (v/v) ethanol by centrifuging at 12.000 g for 5 min. The ethanol was discarded and the pellet containing the chromosomal DNA resuspended in 150 μl of Tris-EDTA pH 8.0 (10 mM Tris–HCl, 1 mM EDTA) and stored at −20°C until further use.

fAFLP analysis of DNA samples

The fAFLP reactions were performed using to the Applied Biosystems AFLP™ microbial fingerprinting Kit with the genomic DNA (500 ng) being digested with 5U EcoRI and 2,5 U of MseI (Invitrogen®, Carlsbad, CA, EUA) in 1,25 μl of buffer 10× with final volume of 10 uL. After the digestions, were added 1 μl of EcoRI and MseI adapters (2 mM), 1.5 U of T4 DNA ligase buffer with T4 DNA ligase of (50 mM Tris–HCl, pH 7.8, 10 mM MgCl2, 10 mM dithiothreitol, 1 mM ATP, 25 g/ml bovine serum albumin). The binding reactions were conducted at 20°C for 2 h, and amplicons produced were dissolved in 30 μl of TE buffer (10 mM Tris–HCl, 1 mM EDTA, pH 8.0) and used as template in pre-selective amplification reactions. The binding sites of pre-selective primers are the sequences of the adapters of restriction sites that provide a selection of restriction fragments obtained. The reactions were obtained using a 2 μl of diluted DNA, 7.5 μl of Core Mix and 0.5 μl of EcoRI primers (1 μM) and MseI (5 mM) were considered as pre-selective. Amplification conditions were: 72°C for 2 minutes, 20 cycles starting at 94°C for 20 s, 56°C for 30 s and 72°C for 2 minutes. Products amplification were electrophoresed on 0.8% agarose gels and subsequently stained colored with ethidium bromide (0.5 mg/ml), and observations about the presence of bands at most of 500 bp. The pre-amplified products were diluted (1:15) with TE buffer and 1.5 μl were used in the pre-amplification reaction along with 7.5 μl of buffer, nucleotides and AmpliTaq® DNA polymerase, a mixture called “Core Mix, 0.5 μl of the MseI primer (5 μM) and 0.5 μl of EcoRI primer, labeled with fluorescence (1 μM). Selective amplifications were performed in 20 μl reactions with the following steps: 94°C for 30 s, 65°C for 30 s, and 72°C for 1 min for 1 cycle and then lowering the annealing temperature by 1°C each cycle to 56°C, followed by an additional 20 cycles at a 56°C. Five primer combinations were used in the selective amplification (EcoRI -AC + MseI -CG; EcoRI -G + MseI -CC; EcoRI -C + MseI -G; EcoRI −0 + MseI -CG; EcoRI -C + MseI -CG).

Sequencing eletrophoresis of polyacrylamide gel and data analysis

Each sample was loaded onto a 5% Long-Ranger denaturing gel which was run in an ABI PRISMTM 377 DNA Sequencer (PE-Applied Biosystems) for 4 h at 2,500 V. The electrophoresis images obtained from each reaction were analyzed using the GENESCAN program version 3.1 (Applied Biosystems). The Genotyper program version 2.5 (Applied Biosystems) was used to check the presence (coded as 1) or absence (coded as 0) of polymorphic bands in the electropherograms, and produce a binary matrix and the GENES program version 2008 (Cruz 2001). The genetic relationships among strains were evaluated using a matrix of genetic distances using the complement of the Jaccard similarity coefficient (CSJ), that does not consider negative similarities and the absence of the product (Cruz and Carneiro 2006). From estimates of the dissimilarities, the lines were grouped using hierarchical UPGMA method (Unweighted Pair-Group Mean Average) with the test of bootstrap (1000 times) to evaluate the consistency of the group (Efron and Tibshirani 1993).

Results and discussion

In this study we have examined the genetic variation among isolates of B. thuringiensis. fAFLP markers generated excellent results in characterizing molecular diversity and genetic relationship within the species of tropical isolates of B. thuringiensis. A total of 495 scorable fragments were generated, ranging from 50 to 500 bp, in the 65 B. thuringiensis strains when 5 primer combinations were used. Out of 495 fragments 483 were found to be polymorphic, and only 12 fragments were monomorphic (Table 2), and 7 of these fragments were generated by the primer combination EcoR1-G + Mse1-CC. Our results showed that the EcoRI primer with selective nucleotide Mse1-C and Mse1-CG generated the greatest number of fragments, 130 and 113, respectively. However, EcoRI primer with selective nucleotide AC and C with selective nucleotide Mse1-CG generated fewer fragments, 77 and 79, respectively.
Table 2

AFLP primer combinations used for the fingerprinting of Bt serovars strains.

Primer combinationNumber of fragmentsNumber of polymorphic fragments
* EcoR1- AC + Mse1 - CG7774
* EcoR1-G + Mse1- CC9689
* EcoR1-C + Mse1 = G130129
* EcoR1-0 + Mse1-CG113112
* EcoR1-C + Mse1-CG7979

*AFLP primer combinations.

AFLP primer combinations used for the fingerprinting of Bt serovars strains. *AFLP primer combinations. Genetic distances were obtained using the complement of the Jaccard similarity coefficient (CSJ), and the grouping using hierarchical UPGMA method. Genomic AFLP markers were analyzed through UPGMA cluster analysis to determine the genetic relationship among B. thuringiensis isolates (Figure 1). Out of 26 subspecies, strains 344 and T09 (B. thuringiensis subsp. tolworthi) showed the highest similarity (15%), while isolates HD3 B. thuringiensis subsp finitimus and T24 B. thuringiensis subsp neoleonensis were the most genetically distant (92%). B. thuringiensis isolates with no subspecies identification, found in samples from Goiás State showed higher similarity forming a group with an average distance of 6%, and the closest subspecies to this group was B. thuringiensis subsp thuringiensis (HD2) with 52% of similarity. Groups with high similarity were formed with B. thruingiensis strains collected in the same State, and other groups composed with B. thruingiensis strains collected in different Brazilian regions. No polymorphism was found as a reliable marker among Bt strains efficient and not efficient against fall armyworm.
Figure 1

Dendrogram of genetic similarity of serovars based on AFLP analysis using unweighted pair group arithmetic mean (UPGMA) program for 5 primer combination.

Dendrogram of genetic similarity of serovars based on AFLP analysis using unweighted pair group arithmetic mean (UPGMA) program for 5 primer combination. Among the 65 B. thuringiensis strains analyzed, 15 formed a single major cluster, and coincidently these strains were sampled in the same Brazilian State, however more than 200 km apart. The phylogenetic analysis of these Brazilian soil isolates (Figure 1) illustrates the great genetic diversity among strains in the same serovar. However, B. anthracis in a previous analysis of a global collection of 78 strains showed little variation among the isolates. Kumar et al. 1996 found that the low level of similarity between different B. thuringiensis subspecies or strains used in his research implied in high levels of genetic diversity which was reflected by the diversity in flagellar H-antigen agglutination reactions and presence of different toxins with different insect specificities. According to Aronson et al. 1986, several factors may contribute to the genetic diversity of B. thuringiensis strains, such as the presence of many different plasmids in size and numbers in each strain, and transfer of plasmids via cell mating. Fagundes et al. 2011; found that the number and size of plasmids varied between different strains in the same serovar, however the isolates from Goías State showed similar plasmid profiles, and these informations suggest that these isolates harbor common genes. Carlson, et al. , found that the number and size of plasmids varied between different strains in the same serovar, however the isolates from Goías State showed similar plasmid profiles, and these informations suggest that these isolates harbor common genes. Carlson, et al. found that the number and size of plasmids varied between different strains in the same serovar, however the isolates from Goías State showed similar plasmid profiles, and these informations suggest that these isolates harbor common genes. Carlson, et al. 1996 also reported that the presence or absence of one or more large plasmids and they may be linear or circular during analysis. B. anthracis harbors two plasmids and plasmids of similar size have been reported in B. cereus and B. thuringiensis. These observations support the idea that horizontal gene transfer of plasmid and/or other extrachromosomal markers is an important factor in defining the phenotypes of type I bacillus B. cereus-like isolates evolved along apparent large evolutionary distances to give rise to clusters that in more recent times acquired plasmids that conferred insecticidal or other pathogenic phenotypes (Hill et al. 2004). These observations of genetic diversity were also reflected in our results. Lereclus et al. 1984 mentioned that the transposon-like inverted repeats flanking the endotoxin genes are also a factor of genetic diversity. Few studies have been published using the fAFLP technique to characterize B. thuringiensis isolates, but we concluded that AFLP is a highly reproducible, easy to use and relatively fast method which can be applied to different organisms, which can be used for genetic diversity studies, and seems particularly well suited for screening a large numbers of isolates. Moreover, the same protocol can be used in screening at the subspecies level, and demonstrated the value of AFLP technique for the study of diversity between strains of B. thuringiensis.
  19 in total

1.  Plasmid patterns of efficient and inefficient strains of Bacillus thuringiensis against Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae).

Authors:  R B S Fagundes; E A T Picoli; U G P Lana; Fernando H Valicente
Journal:  Neotrop Entomol       Date:  2011-10       Impact factor: 1.434

2.  Determination and Distribution of cry-Type Genes of Bacillus thuringiensis Isolates from Taiwan.

Authors:  K F Chak; D C Chao; M Y Tseng; S S Kao; S J Tuan; T Y Feng
Journal:  Appl Environ Microbiol       Date:  1994-07       Impact factor: 4.792

3.  Worldwide Abundance and Distribution of Bacillus thuringiensis Isolates.

Authors:  P A Martin; R S Travers
Journal:  Appl Environ Microbiol       Date:  1989-10       Impact factor: 4.792

4.  AFLP: a new technique for DNA fingerprinting.

Authors:  P Vos; R Hogers; M Bleeker; M Reijans; T van de Lee; M Hornes; A Frijters; J Pot; J Peleman; M Kuiper
Journal:  Nucleic Acids Res       Date:  1995-11-11       Impact factor: 16.971

Review 5.  Bacillus thuringiensis and related insect pathogens.

Authors:  A I Aronson; W Beckman; P Dunn
Journal:  Microbiol Rev       Date:  1986-03

6.  Molecular characterization of Bacillus anthracis using multiplex PCR, ERIC-PCR and RAPD.

Authors:  Y H Shangkuan; Y H Chang; J F Yang; H C Lin; M F Shaio
Journal:  Lett Appl Microbiol       Date:  2001-03       Impact factor: 2.858

7.  Discrimination of Acinetobacter genomic species by AFLP fingerprinting.

Authors:  P Janssen; K Maquelin; R Coopman; I Tjernberg; P Bouvet; K Kersters; L Dijkshoorn
Journal:  Int J Syst Bacteriol       Date:  1997-10

8.  Fluorescent amplified fragment length polymorphism analysis of Bacillus anthracis, Bacillus cereus, and Bacillus thuringiensis isolates.

Authors:  Karen K Hill; Lawrence O Ticknor; Richard T Okinaka; Michelle Asay; Heather Blair; Katherine A Bliss; Mariam Laker; Paige E Pardington; Amber P Richardson; Melinda Tonks; Douglas J Beecher; John D Kemp; Anne-Brit Kolstø; Amy C Lee Wong; Paul Keim; Paul J Jackson
Journal:  Appl Environ Microbiol       Date:  2004-02       Impact factor: 4.792

9.  PCR analysis of the cryI insecticidal crystal family genes from Bacillus thuringiensis.

Authors:  J Ceron; L Covarrubias; R Quintero; A Ortiz; M Ortiz; E Aranda; L Lina; A Bravo
Journal:  Appl Environ Microbiol       Date:  1994-01       Impact factor: 4.792

10.  A transposon-like structure related to the delta-endotoxin gene of Bacillus thuringiensis.

Authors:  D Lereclus; J Ribier; A Klier; G Menou; M M Lecadet
Journal:  EMBO J       Date:  1984-11       Impact factor: 11.598

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