African Journal of Biotechnology

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Afr. J. Biotechnol.


Vol. 1 No. 2

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African Journal of Biotechnology Vol. 1 (2), pp. 6769, December 2002

ISSN 1684-5315  © 2002 Academic Journals  


Characterization of potential ethylene-producing rhizosphere bacteria of Striga-infested maize and sorghum


Olubukola O. Babalola1,2*, Elie O. Osir2  and Abiodun I. Sanni1

 

1Department of Botany and Microbiology, University of Ibadan, Ibadan Nigeria

2International Centre of Insect Physiology and Ecology, Nairobi, Kenya

 

*Corresponding author; tel: 234-803-703-5965; e-mail:  olubukola_babalola@hotmail.com

 

Accepted 12 November 2002

 
 
    Abstract
 
Abstract
Introduction
Results and Discussion
References
 

 

 

 

 

Three rhizosphere bacteria, Pseudomonas sp., Enterobacter sakazakii and Klebsiella oxytoca, were analyzed for genetic variation. DNA fingerprint patterns of the three bacteria were markedly different when amplified with different primers. In total, 68 bands were produced by the three primers, 62 of which where variable. The number of polymorphic RAPD loci per isolate ranged from one to 13. Cluster analysis indicated that E. sakazakii  and K. oxytoca are the most closely related of the three.

 

Key words: Bacteria, RAPD-PCR, Striga hermonthica.
 
    Introduction
 
Abstract
Introduction
Results and Discussion
References
 

 

 

 

Microorganisms are increasingly being considered for the biological control of Striga hermonthica (Del.) Benth. Limited knowledge of Striga biological control agents has retarded their commercial development and widespread use. Research has shown that certain chemicals such as ethylene gas generators (ethephon), strigol and strigol derivatives can induce abortive germination of Striga seeds in the absence of a suitable host, and therefore lead to depletion of the seed reserve in the soil (Eplee, 1981). Soil living bacteria which produces ethylene offers exciting new tools for Striga biocontrol.

 

There is a dearth of information on the molecular biology of Striga-associated bacteria. Rapidly evolving technologies from molecular biology and genetics have provided new insights into the underlying mechanisms by which biocontrol agents function in their natural environments to a degree not previously possible. The application of the polymerase chain reaction (PCR), in particular, have greatly  facilitated  genomic  analyses  of microorganisms, provide enhanced capability to characterize and classify strains, and facilitate research to assess the genetic diversity of populations (Louws et al., 1999). These techniques offers exciting new tools for Striga biocontrol studies. Variations in random amplified polymorphic DNA (RAPD) by PCR is especially suited for genetic studies where little or no molecular genetics research has been conducted previously (Nybom and Bartish, 2000). This would be of great value to determine genomic profiles of certain bacteria in the rhizosphere of Striga infected cereals. This study reports the genetic variation of 3 ethylene-producing soil bacteria from the rhizospheres of maize and sorghum.

 
 
    Results and Discussion
 
Abstract
Introduction
Results and Discussion
References
 
 

 

Thirty short primers of arbitrary sequence were initially screened, out of which three were selected based on their ability to amplify all three bacteria isolates.  Each lane has a minimum of one and a maximum of 13 discrete visible bands ranging in size from 0.1 to 2.6 kb (Figure 1). The banding patterns were markedly different with each primer. Primer OPA-10 showed the highest polymorphism in the three bacteria species. It was assumed that bands of the same molecular weight in different individuals were identical in nucleic acid sequence. The results of the scoring are presented in Table 1. A common band is shared by the isolates in each of the three primers within the range of 0.6 to 0.7 kb. In total, 68 bands were produced by the 3 primers, 62 of which where variable. These DNA bands were significantly different (P<0.0002).

 

 

           

Figure 1: RAPD polymorphism detected in 3 bacteria isolates.

 

Bacteria were isolated (Babalola, 2002) and a small amount of the bacteria, just enough to be clearly visible by the naked eye, was picked from a colony (Nowrouzian et al., 2001) and suspended directly in the PCR mixture. Tubes were placed in a styrofoam and heated at 95oC for 15 min in the PCR mixture to disrupt the bacteria before taq polymerase was added. In the present study, the amount of bacteria added to the PCR mixture was found to vary between 1.6 x 106 and 4.7 X 106 CFU, in which range the PCR patterns showed satisfying reproducibility. Amplification were carried out in a programmable thermal cycler (PTC-100TM MJ-Research Inc.) using the following parameters: an initial denaturing step at 94oC for 1 min, 40 cycles of denaturation at 94oC for 1 min, annealing at 40oC for 1 min, and 72oC for 2 min. A final extension step of 10 min at 72oC was included. The amplification products were analysed by electrophoresis on 1.5% agarose gels and detected on ethidium bromide visualized under UV light. 1kb size marker (Boehringer Mannheim, Germany) was loaded in marker lane M. Ten-microlitre aliquots of the PCR products were loaded, Pseudomonas sp. (lane 1), E. sakazakii  (lane 2) and K. oxytoca (lane 3). The three arbitrary decamer primers used in this study were OPA-10 (Fig. 1a), OPA-09 (Fig. 1b) and OPA-16 (Fig. 1c), purchased from Operon Technologies, Inc. (Alameda, CA).

 

 

Table 1. Number of bands and percentage of DNA polymorphic bands in three bacteria isolates amplified with three oligonucleotide primers.

Primer

Primer sequence

Bacteria isolates

Number of fragments scored

Percentage of polymorphic loci

OPA-09

5’GGGTAACGCC3’

Pseudomonas sp.

11

64.71

 

 

E. sakazakii

1

5.88

 

 

K. oxytoca

9

52.94

 

OPA-10

5’GTGATCGCAG3’

Pseudomonas sp.

9

52.94

 

 

E. sakazakii

8

47.06

 

 

K. oxytoca

9

52.94

 

OPA-16

5’AGCCAGCGAA3’

Pseudomonas sp.

5

29.41

 

 

E. sakazakii

3

17.65

 

 

K. oxytoca

13

76.47

 

 

The aim of this study was to provide some general information about the genetic variation of 3 soil bacteria with potential for use as S. hermonthica biocontrol agent. The potential use of bacteria inoculums for the biological control of S. hermonthica is only recently being considered. The RAPD-PCR reaction yields a series of products of varying size, which were separated by gel electrophoresis. The band pattern of RAPD-PCR reactions represents a "genetic fingerprint" that can be used to characterize a particular bacterial strain (Welsh and McClelland, 1990). The low similarity index among the bacteria isolates was not unexpected since they are of different species with different habitats.  Pseudomonas sp. was isolated from the exorhizosphere while E. sakazakii and K. oxytoca were from the endorhizosphere. Based on summary data presented (Figure 2 and Table 2) we agree with the report of Waugh and Powell (1992) that polymorphism as revealed by molecular markers could help to select priority areas for conservation and provide vital information for development of genetic sampling improvement. The study is currently being re-evaluated with specific primers targeted toward specific sequences of the microbial enzyme, 1-aminocyclopropane-1–carboxylic acid (ACC) deaminase gene (Penrose and Glick, 1997). This enzyme catalyses the hydrolytic cleavage of ACC, the immediate precursor of ethylene. This will allow for better resolution of closely related, morphologically similar species.  These findings could be  exploited as genetic markers to identify particular strains of bacteria isolates of soil rhizosphere for use in biocontrol of S. hermonthica through Striga suicidal germination.

 

 

 

Table 2: Nei and Li coefficient values (below diagonal) and Jaccard similarity index (above diagonal) computed from RAPD profiles obtained with three primers, OPA-09, OPA-10, OPA-16.

 

RAPD bands were treated as binary (presence/absence) characters. The Nei and Li coefficient (Nei and Li, 1979) was used to score the DNA polymorphisms; NL = 2a/(b+c). Pair-wise comparisons of genotypes were also used to obtain genetic distances using Jaccard similarity index (Jaccard, 1912); Cj = a/(a+b+c). Where ‘a’ is the number of similar bands from two isolates, ‘b’ is the number of bands in bacteria 2, but not bacteria 1, and ‘c’ is the number of bands in bacteria 1, but not bacteria 2.

 

 

 

 

 

 

Figure 2. Dendogram showing relationship between three plant-associated bacteria species using SAS (proc cluster) based on Jaccard similarity index from RAPD-PCR data.

 

ACKNOWLEDGEMENTS

Part of this work was carried out at the International Centre of Insect Physiology and Ecology (ICIPE). The authors wish to acknowledge the assistance of Steve Obuya and other ICIPE staff, as well as Drs. W. Bulimo and D. Masiga for invaluable discussions. Stipend and research support were provided by Third World Organization for Women in Science.

 
 
    References
 
Abstract
Introduction
Results and Discussion
References
 

 

 

 

Babalola OO (2002). Interactions between Striga hermonthica (Del.) Benth. and fluorescent rhizosphere bacteria Of Zea mays, L. and Sorghum bicolor L. Moench for Striga suicidal germination In Vigna unguiculata . PhD dissertation, University of Ibadan, Ibadan.

 

Eplee RE (1981) Striga’s status as a plant parasite in the United States. Plant Dis. reporter 65:951-954. 

 

Jaccard P (1912). The distribution of the flora in the alpine zone. New phytol. 11:37-50. 

 

Louws FJ, Rademaker JLW, de Bruijn FJ (1999). The three Ds of Pcr-based genomic analysis of phytobacteria: Diversity, Detection, and Disease Diagnosis. Annu. Rev. Phytopathol. 37:81-125. [PubMed]

 

Nei M, Li WH (1979). Mathematical model for studying genetic variation in terms of restriction endonucleases. Proc. Natl. Acad. Sci 76:5269-5273. [PubMed]

 

Nowrouzian F, Wold AE, Adlerberth I (2001). Computer-Based Analysis of RAPD (Random Amplified Polymorphic DNA) Fingerprints for Typing of Intestinal Escherichia coli. Mol. biol. Today 2(1):5-10.

 

Nybom H, Bartish IV (2000). Effects of life history traits and sampling strategies on genetic diversity estimates obtained with RAPD markers in plants. Perspectives in plant ecology, evolution and Systematics. Volume 3/2, pp 93-114.

 

Penrose DM, Glick BR (1997). Enzymes that regulate ethylene levels-1-aminocyclopropane-1-carboxylic acid (ACC) deaminase, ACC synthase and ACC oxidase Indian J. Exp. Biol. 35(1):1-17. [Pubmed]

 

Waugh R, and Powell W (1992). Using RAPD markers for crop improvement. TIBTECH 10:186-191.

 

Welsh J, McClelland M (1990). Fingerprinting genomes using PCR with arbitrary primers. Nucl. Acids Res. 18:7213-7218. [PubMed]

 

 

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