Integrated studies of organismal plasticity through physiological and transcriptomic approaches: examples from marine polar regions

• Published in: Briefings in Functional Genomics
• Main Authors: PAPETTI, CHIARA, Lucassen, Magnus, Pörtner, Hans Otto
• Other Authors: Papetti, Chiara, Lucassen, Magnu
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2016
• Subjects: Antarctic fish; OCLTT; cold adaptation; ecophysiology; genomic; non-model organisms; Antarc*; Antarctic
• Online Access: http://hdl.handle.net/11577/3199941; https://doi.org/10.1093/bfgp/elw024

Transcriptomic methods are now widely used in functional genomic research. The vast amount of information received from these studies comes along with the challenge of developing a precise picture of the functional consequences and the characteristic regulatory mechanisms. Here we assess recent studies in marine species and their adaptation to polar (and seasonal) cold and explore how they have been able to draw reliable conclusions from transcriptomic patterns on functional consequences in the organisms. Our analysis indicates that the interpretation of transcriptomic data suffers from insufficient understanding of the consequences for whole organism performance and fitness and comes with the risk of supporting only preliminary and superficial statements.We propose that the functional understanding of transcriptomic data may be improved by their tighter integration into overarching physiological concepts that support the more specific interpretation of the 'omics' data and, at the same time, can be developed further through embedding the transcriptomic phenomena observed. Such possibilities have not been fully exploited.In the context of thermal adaptation and limitation, we explore preliminary evidence that the concept of oxygen and capacity limited thermal tolerance (OCLTT) may provide sufficient complexity to guide the integration of such data and the development of associated functional hypotheses. At the same time, we identify a lack of methodological approaches linking genes and function to higher levels of integration, in terms of organism and ecosystem functioning, at temporal and geographical scales, to support more reliable conclusions and be predictive with respect to the effects of global changes.