Tagging Active Microbes
Noteworthy
Sequence analysis provides a relatively straightforward method for identifying the taxonomy and diversity of microbes in a complex environmental sample. But it is a far more difficult task to distinguish metabolically active from dormant microbial members within a community. Yet this distinction may prove key to understanding which microbes are relevant for community assembly during colonization and for providing functional benefits.

Experimental design for probing microbial activity and composition across a plant-soil gradient. Replicates of Trifolium incarnatumwere grown in a greenhouse (A), and samples were taken (B) for different analysis ©. For more info to go source. Frontispiece: Trifolium incarnatum. © Greg Peterson, source.
In a recent report, scientists from Pennsylvania State University employed a methodology named BONCAT (Biorthogonal Non-Canonical Amino Acid Tagging) to identify metabolically active microbes that could potentially provide plant-beneficial functions. By labelling microbes across a gradient, from soil to roots, and coupling these results to Flow Cytometer Activated Cell Sorting (FACS) and 16S rRNA amplicon sequencing analysis, they were able to probe for microbial activity on and in plant roots. Microbial activity was 10 times higher inside plant tissues when compared to the soil and was also associated with successful colonization of the internal plant tissues – the endosphere.
Why is this interesting? These findings indicate that metabolically active microbes are important for association with plants. But more importantly, this can be leveraged to promote active microbial communities from a native soil to improve agricultural productivity and sustainability.
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