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BioQuest | Vol. 1, No. 1 (July 2017) 36 Introduction Metagenomics is the study of the collective genomes recovered from environmental samples without prior cultivation. It enables the investigation of genome information on organisms. It is widely accepted that up to 99.8% of the microbes present in many environments are not readily culturable. ‘Metagenome technology’ tries to overcome this bottleneck by developing and using culture-independent approaches. From the outset, metagenome-based approaches have led to the accumulation of an increasing number of DNA sequences, but until this time the sequences retrieved have been those of uncultured microbes. These genomic sequences are currently exploited for novel biotechnological and pharmaceutical applications and to increase our knowledge on microbial ecology and physiology of these microbes. Using the metagenome sequences to fully understand how complex microbial communities function and how microbes interact within these niches represents a major challenge for microbiologists today (1). In plant pathology, the metagenome of disease- suppressive soils is of particular interest given the expected prevalence of antibiotic biosynthetic clusters. However, owing to the complexity of soil microbial communities, deciphering this key genetic information is challenging (2). There is a clear potential for metagenomics to contribute to the study of microbial communities of the rhizosphere, in particular PGPR. Possible contributions include the discovery of novel plant growth promoting genes and gene products, and the characterization of unculturable PGPRs (3). Metagenomics provides a new rationale and effective methodology for identification of potentially important genes, enzymes and biomolecules present in microbial community. It is based on studies of ecological diversity of uncultured and cultural microorganisms using molecular biology (4). Sampling and processing Sample processing is the first and most crucial step in any metagenomics project. The DNA extracted should be representative of all cells present in the sample and sufficient amounts of high-quality nucleic acids must be obtained for subsequent library production and sequencing. Processing requires specific protocols for each sample type, and various robust methods for DNA extraction are available (5,6). Initiatives are also under way to explore the microbial biodiversity from tens of thousands of ecosystems using a single DNA extraction technology to ensure comparability. Sequencing technology The metagenomic shotgun sequencing has gradually shifted from classical Sanger sequencing technology to next-generation sequencing (NGS). Sanger sequencing, however, is still considered the gold standard for sequencing, because of its low error rate, long read length (> 700 bp) and large insert sizes (e.g. > 30 Kb for fosmids or bacterial artificial chromosomes (BACs). All of these aspects will improve assembly outcomes for shotgun data, and hence Sanger sequencing might still be applicable if generating close- to-complete genomes in low-diversity environments is the objective (7). Genome assembly Genome assembly is a process wherein a large number of sequences are assembled together to generate a representation of the original chromosomes from which the DNA originated. If the research aims at recovering the genome of uncultured organisms or Metagenomics and its prospects in phytopathology Jeevan B 1 *, Rajal D, Subrahmanyam G, Veeranna D, Vijay N, Chutia M 1 Central Muga Eri Research and Training Institute, Central Silk Board, Jorhat, Assam (India) * Corresponding author email: [email protected]
Transcript
Page 1: Metagenomics and its prospects in phytopathology · Applications of metagenomics in Phytopathology • Optimization of natural plant fertilization, rapid identification of plant pathogens

BioQuest | Vol. 1, No. 1 (July 2017)

36

Introduction

Metagenomics is the study of the collective

genomes recovered from environmental samples

without prior cultivation. It enables the investigation of

genome information on organisms. It is widely accepted

that up to 99.8% of the microbes present in many

environments are not readily culturable. ‘Metagenome

technology’ tries to overcome this bottleneck by

developing and using culture-independent approaches.

From the outset, metagenome-based approaches have

led to the accumulation of an increasing number of

DNA sequences, but until this time the sequences

retrieved have been those of uncultured microbes.

These genomic sequences are currently exploited for

novel biotechnological and pharmaceutical applications

and to increase our knowledge on microbial ecology

and physiology of these microbes. Using the

metagenome sequences to fully understand how

complex microbial communities function and how

microbes interact within these niches represents a major

challenge for microbiologists today (1).

In plant pathology, the metagenome of disease-

suppressive soils is of particular interest given the

expected prevalence of antibiotic biosynthetic clusters.

However, owing to the complexity of soil microbial

communities, deciphering this key genetic information

is challenging (2). There is a clear potential for

metagenomics to contribute to the study of microbial

communities of the rhizosphere, in particular PGPR.

Possible contributions include the discovery of novel

plant growth promoting genes and gene products, and

the characterization of unculturable PGPRs (3).

Metagenomics provides a new rationale and effective

methodology for identification of potentially important

genes, enzymes and biomolecules present in microbial

community. It is based on studies of ecological

diversity of uncultured and cultural microorganisms

using molecular biology (4).

Sampling and processing

Sample processing is the first and most crucial

step in any metagenomics project. The DNA extracted

should be representative of all cells present in the

sample and sufficient amounts of high-quality nucleic

acids must be obtained for subsequent library

production and sequencing. Processing requires specific

protocols for each sample type, and various robust

methods for DNA extraction are available (5,6).

Initiatives are also under way to explore the microbial

biodiversity from tens of thousands of ecosystems using

a single DNA extraction technology to ensure

comparability.

Sequencing technology

The metagenomic shotgun sequencing has

gradually shifted from classical Sanger sequencing

technology to next-generation sequencing (NGS).

Sanger sequencing, however, is still considered the gold

standard for sequencing, because of its low error rate,

long read length (> 700 bp) and large insert sizes (e.g. >

30 Kb for fosmids or bacterial artificial chromosomes

(BACs). All of these aspects will improve assembly

outcomes for shotgun data, and hence Sanger

sequencing might still be applicable if generating close-

to-complete genomes in low-diversity environments is

the objective (7).

Genome assembly

Genome assembly is a process wherein a large

number of sequences are assembled together to generate

a representation of the original chromosomes from

which the DNA originated. If the research aims at

recovering the genome of uncultured organisms or

Metagenomics and its prospects in phytopathology

Jeevan B1*, Rajal D, Subrahmanyam G, Veeranna D, Vijay N, Chutia M

1Central Muga Eri Research and Training Institute, Central Silk Board, Jorhat, Assam (India)

* Corresponding author email: [email protected]

Page 2: Metagenomics and its prospects in phytopathology · Applications of metagenomics in Phytopathology • Optimization of natural plant fertilization, rapid identification of plant pathogens

BioQuest | Vol. 1, No. 1 (July 2017)

37

obtain full-length CDS for subsequent characterization

rather than a functional description of the community,

then assembly of short read fragments will be

performed to obtain longer genomic contigs. The

majority of current assembly programs were designed

to assemble single, clonal genomes and their utility for

complex pan-genomic mixtures should be approached

with caution and critical evaluation.

Binning

Binning refers to the process of sorting DNA

sequences into groups that might represent an

individual genome or genomes from closely related

organisms. Several algorithms have been developed,

which employ two types of information contained

within a given DNA sequence. Firstly, compositional

binning makes use of the fact that genomes have

conserved nucleotide composition (e.g. a certain GC or

the particular abundance distribution of k-mers) and this

will be also reflected in sequence fragments of the

genomes. Secondly, the unknown DNA fragment might

encode for a gene and the similarity of this gene with

known genes in a reference database can be used to

classify and hence bin the sequence.

Genome annotation

It includes two sequential processes i.e.,

structural annotation and functional annotation.

Structural annotation refers to the identification of open

reading frames (ORFs) (or hypothetical genes) in a

DNA sequence by means of computational gene

discovery software tools. Functional annotation deals

with assigning function to the predicted genes by

similarity searches against genes of known functions in

the database. The entire process of sequencing,

assembly and annotations generates enormous data that

act as a storehouse of information which can be used

later for various studies and comparisons.

Applications of metagenomics in Phytopathology

• Optimization of natural plant fertilization, rapid

identification of plant pathogens responsible of

emerging diseases.

• The antibiotic activity towards plant pathogens can

be assessed by Metagenomics.

• To locate the source for Induced Systemic

resistance.

• The genes for nitrogen fixation are retrievable with

the use of Metagenomics.

• The efficacy of PGPR is unrivalled by the use of

Metagenomics. Ex - A mutant of Pseudomonas

putida WCS358 unable to produce the antibiotic

pseudobactin 358.

Challenges and Future Directions

• Low abundance species overlooked.

• Lack of reference genomes.

• Sequencing complex environments cost

prohibitive.

• Standardizing metadata.

• New enzymes, antibiotics, and other reagents can

be identified.

• More exotic habitats can be studied.

• Improved bioinformatics will quicken analysis for

library profiling.

• Identified novel gene can be used in crop

improvement.

• Discoveries such as phylogenic tags (rRNA genes,

etc) will give momentum to the growing field.

• Discovery of novel plant growth promoting gene

and gene product from the rhizosphere.

References

Wolfgang R, Ruth A (2004) Metagenomics – the key to

the uncultured microbes. Current Opinion in

Microbiology, 7: 492–498.

Mendes R, Kruijt M, Bruijn L, Dekkers L, Voort M,

Schneider J, Piceno Y et al. (2011) Deciphering

the rhizosphere microbiome for disease-

suppressive bacteria. Science, 332: 1097-1100.

Daniel R (2005) The metagenomics of soil. Nature

Reviews Microbiology, 3: 470–478.

Lara VF, Castillo RF, Flores G, Aguilar CN, Rodriguez

HR (2011) Metagenomics in plant pathology.

Phytopathology, 31(2): 978-981.

Delmont TO, Robe P, Clark I, Simonet P, Vogel TM

(2011) Metagenomic comparison of direct and

indirect soil DNA extraction approaches. Journal

of Microbiological Methods, 86(3): 397–400.

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