Abstract
The endophytic bacteria are universal occupants of the host plant tissues, and microbial endophytic population play an important and distinctive role in the agro-ecosystems functioning. Exploration of the vast diversity of plant-associated and endophytic microbiome has been largely accelerated by the introduction of high-throughput sequencing technologies. Microbial DNA direct amplification from samples of plant tissue and implementation of the massive parallel sequencing technology generates remarkably extensive data that provides an expansive insight into the composition of the plant-associated microbial communities. This review presents an overview of the research experience built up during the decade of application of the next-generation sequencing (NGS) in the metagenomic analysis of the endophytic bacterial communities. We outline the methods and sequencing approaches used in the metagenomic analysis of the plant-associated microbiome and discuss methodological challenges associated with the application of the high-throughput sequencing technology. The metagenomic studies have provided new knowledge about plant genotype- and tissue-specific complexity of the indigenous endophytic communities as well as their dynamics during plant development. Of particular interest are the new insights into the effect of agricultural practices and environmental factors on the endophytic microbiome composition that pave the way to practical implications and development of efficient and sustainable agriculture.
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This research was funded by the long-term research program “Genetics and directed genotype development of agricultural and forestry plants” implemented by the Lithuanian Research Centre for Agriculture and Forestry.
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Tamošiūnė, I., Andriūnaitė, E., Stanys, V., Baniulis, D. (2019). Exploring Diversity of Bacterial Endophyte Communities Using Advanced Sequencing Technology. In: Kumar, V., Prasad, R., Kumar, M., Choudhary, D. (eds) Microbiome in Plant Health and Disease. Springer, Singapore. https://doi.org/10.1007/978-981-13-8495-0_20
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