Non‐reproducible signals of adaptation to elevation between open and understorey microhabitats in snapdragon plants

Our ability to investigate adaptation presents a number of complications resulting from the multidimensional complexity of the environment. Awareness on this issue was recently raised in the scientific literature (Anderson & Wadgymar, 2020;Chevin & Lande, 2015;Westneat et al., 2019). From a practical perspective, the adaptation or maladaptation of populations to their habitat is generally inferred on the basis of their genetic differentiation for fitness-related traits (Hereford, 2009;Leimu &

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Non‐reproducible signals of adaptation to elevation between open and understorey microhabitats in snapdragon plants

Gibert

Marin

Mouginot

et al. 2021

J of Evolutionary Biology

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Big Data in Gastroenterology Research

Alizadeh

Moura

Schledwitz

et al. 2023

IJMS

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Studying individual data types in isolation provides only limited and incomplete answers to complex biological questions and particularly falls short in revealing sufficient mechanistic and kinetic details. In contrast, multi-omics approaches to studying health and disease permit the generation and integration of multiple data types on a much larger scale, offering a comprehensive picture of biological and disease processes. Gastroenterology and hepatobiliary research are particularly well-suited to such analyses, given the unique position of the luminal gastrointestinal (GI) tract at the nexus between the gut (mucosa and luminal contents), brain, immune and endocrine systems, and GI microbiome. The generation of ‘big data’ from multi-omic, multi-site studies can enhance investigations into the connections between these organ systems and organisms and more broadly and accurately appraise the effects of dietary, pharmacological, and other therapeutic interventions. In this review, we describe a variety of useful omics approaches and how they can be integrated to provide a holistic depiction of the human and microbial genetic and proteomic changes underlying physiological and pathophysiological phenomena. We highlight the potential pitfalls and alternatives to help avoid the common errors in study design, execution, and analysis. We focus on the application, integration, and analysis of big data in gastroenterology and hepatobiliary research.

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Non‐reproducible signals of adaptation to elevation between open and understorey microhabitats in snapdragon plants

Cited by 2 publications

References 43 publications