8 Biotechnology and Bioinformatics of Endophytes …
195
Fig. 8.6 Pie-chart of endophytic fungal community based on whole genome
interactions to accomplish all biotechnological applications. Additionally, further
research in emerging “omic” technologies involving transcriptomics, metagenomics,
and metatranscriptomics approaches predict discoveries that will unravel plant–endophytes relationships and will strengthen the potential use of endophytes in applied
research. Microbial secretomes and volatiles are also widely investigated. It is estimated that the genomic and metabolic data mining will ultimately provide new
insights into their successful implementation in all the above discussed fields.
References
Aeron A, Chauhan PS, Dubey RC et al. (2014) Root nodule bacteria from Clitoria ternatea L. are
putative invasive nonrhizobial endophytes. Can J Microbiol 61(2):131–142
Aguiar-Pulido V, Huang W, Suarez-Ulloa V, Cickovski T, Mathee K, Narasimhan G (2016)
Metagenomics, metatranscriptomics, and metabolomics approaches for microbiome analysis:
supplementary issue: bioinformatics methods and applications for big metagenomics data. Evol
Bioinform 12. http://doi.org/10.4137/EBO.S36436
195
Fig. 8.6 Pie-chart of endophytic fungal community based on whole genome
interactions to accomplish all biotechnological applications. Additionally, further
research in emerging “omic” technologies involving transcriptomics, metagenomics,
and metatranscriptomics approaches predict discoveries that will unravel plant–endophytes relationships and will strengthen the potential use of endophytes in applied
research. Microbial secretomes and volatiles are also widely investigated. It is estimated that the genomic and metabolic data mining will ultimately provide new
insights into their successful implementation in all the above discussed fields.
References
Aeron A, Chauhan PS, Dubey RC et al. (2014) Root nodule bacteria from Clitoria ternatea L. are
putative invasive nonrhizobial endophytes. Can J Microbiol 61(2):131–142
Aguiar-Pulido V, Huang W, Suarez-Ulloa V, Cickovski T, Mathee K, Narasimhan G (2016)
Metagenomics, metatranscriptomics, and metabolomics approaches for microbiome analysis:
supplementary issue: bioinformatics methods and applications for big metagenomics data. Evol
Bioinform 12. http://doi.org/10.4137/EBO.S36436