Allometric scaling improves the characterization of complex community transcriptomes.

Abstract

Allometric scaling, that is scaling patterns in physiological processes relative to body size, can be used to overcome the current limitations in metatranscriptomics. Metatranscriptomics refers to the use of RNA transcripts to characterize a complex community. In contrast to metagenomics, metatranscriptomics allows one to simultaneously address community composition and functionality through the characterization of the community transcriptome. Hence, insights into metabolic processes and molecular pathways can also be obtained. Despite its increasing use in community ecology, a major limitation and source of error is the variation in RNA transcript abundance across organisms varying in body size. Hence, this may lead to incorrect estimations of the community structure and functioning as larger RNA quantities from larger individuals may overestimate their community contribution.