Dataset Information

Aligning the Measurement of Microbial Diversity with Macroecological Theory.

ABSTRACT: The number of microbial operational taxonomic units (OTUs) within a community is akin to species richness within plant/animal ("macrobial") systems. A large literature documents OTU richness patterns, drawing comparisons to macrobial theory. There is, however, an unrecognized fundamental disconnect between OTU richness and macrobial theory: OTU richness is commonly estimated on a per-individual basis, while macrobial richness is estimated per-area. Furthermore, the range or extent of sampled environmental conditions can strongly influence a study's outcomes and conclusions, but this is not commonly addressed when studying OTU richness. Here we (i) propose a new sampling approach that estimates OTU richness per-mass of soil, which results in strong support for species energy theory, (ii) use data reduction to show how support for niche conservatism emerges when sampling across a restricted range of environmental conditions, and (iii) show how additional insights into drivers of OTU richness can be generated by combining different sampling methods while simultaneously considering patterns that emerge by restricting the range of environmental conditions. We propose that a more rigorous connection between microbial ecology and macrobial theory can be facilitated by exploring how changes in OTU richness units and environmental extent influence outcomes of data analysis. While fundamental differences between microbial and macrobial systems persist (e.g., species concepts), we suggest that closer attention to units and scale provide tangible and immediate improvements to our understanding of the processes governing OTU richness and how those processes relate to drivers of macrobial species richness.

SUBMITTER: Stegen JC

PROVIDER: S-EPMC5033968 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Background:Despite considerable encouragement for healthcare professionals to use or be clear about the theory used in their improvement programmes, the uptake of these approaches to design interventions or report their content is lacking. Recommendations suggest healthcare practitioners work with social and/or behavioural scientists to gain expertise in programme theory, ideally before, but even during or after the work is done. We aim to demonstrate the extent to which intuitive intervention strategies designed by healthcare professionals to overcome patient barriers to communicating genetic cancer risk information to family members align with a theoretical framework of behaviour change. Methods:As part of a pre-post intervention study, a team of genetic counsellors aimed to understand, and design interventions to overcome, the major barriers a group of familial cancer patients face around communicating hereditary cancer risk information to their relatives. A behavioural change specialist worked with the team to review and recode barriers and interventions according to the Theoretical Domains Framework (TDF) and 93 behaviour change techniques (BCTs). Resulting BCTs were cross-referenced against the Theory and Techniques Tool to examine whether evidence-based mechanistic links have been established to date. Results:Five themes emerged from the genetic counsellor coded barriers, which when recoded according to the TDF represented seven domains of behaviour change. Forty-five experiential and intuitive interventions were used to tackle key barriers. These were represented by 21 BCTs, which were found to be used on 131 occasions. The full mapping exercise is presented, resulting in a suite of intervention strategies explicitly linked to a theoretical framework. Structured, written reflections were provided retrospectively by the core clinical team. Conclusions:Although the ideal is to use theory prospectively, or even whilst a project is underway, making links between theory and interventions explicit, even retrospectively, can contribute towards standardising intervention strategies, furthering understanding of intervention effects, and enhancing the opportunities for accurate replicability and generalisability across other settings. Demonstrating to healthcare professionals how their intuition aligns with theory may highlight the additional benefits that theory has to offer and serve to promote its use in improvement.

Dataset Information

Aligning the Measurement of Microbial Diversity with Macroecological Theory.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets