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Understanding Drivers of Variation and Predicting Variability Across Levels of Biological Organization
Author(s) -
Kira D. McEntire,
Matthew J. Gage,
Richard Gawne,
Michael G.‏ Hadfield,
Catherine M. Hulshof,
Michele A. Johnson,
Danielle L. Levesque,
Joan Segura,
Noa PinterWollman
Publication year - 2021
Publication title -
integrative and comparative biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.328
H-Index - 123
eISSN - 1557-7023
pISSN - 1540-7063
DOI - 10.1093/icb/icab160
Subject(s) - variation (astronomy) , perspective (graphical) , data science , computer science , artificial intelligence , astrophysics , physics
Differences within a biological system are ubiquitous, creating variation in nature. Variation underlies all evolutionary processes and allows persistence and resilience in changing environments; thus, uncovering the drivers of variation is critical. The growing recognition that variation is central to biology presents a timely opportunity for determining unifying principles that drive variation across biological levels of organization. Currently, most studies that consider variation are focused at a single biological level and not integrated into a broader perspective. Here we explain what variation is and how it can be measured. We then discuss the importance of variation in natural systems, and briefly describe the biological research that has focused on variation. We outline some of the barriers and solutions to studying variation and its drivers in biological systems. Finally, we detail the challenges and opportunities that may arise when studying the drivers of variation due to the multi-level nature of biological systems. Examining the drivers of variation will lead to a reintegration of biology. It will further forge interdisciplinary collaborations and open opportunities for training diverse quantitative biologists. We anticipate that these insights will inspire new questions and new analytic tools to study the fundamental questions of what drives variation in biological systems and how variation has shaped life.

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