loading page

The practice and promise of temporal genomics for measuring evolutionary responses to global change
  • +7
  • René Clark,
  • Katrina Catalano,
  • Kyra Fitz,
  • Eric Garcia,
  • Kyle Jaynes,
  • Brendan Reid,
  • Allyson Sawkins,
  • Anthony Snead,
  • John Whalen,
  • Malin Pinsky
René Clark
Rutgers University

Corresponding Author:rene.clark@rutgers.edu

Author Profile
Katrina Catalano
Rutgers University
Author Profile
Kyra Fitz
Rutgers University
Author Profile
Eric Garcia
Old Dominion University
Author Profile
Kyle Jaynes
Michigan State University
Author Profile
Brendan Reid
Rutgers University
Author Profile
Allyson Sawkins
University of California Santa Cruz
Author Profile
Anthony Snead
The University of Alabama System
Author Profile
John Whalen
Old Dominion University
Author Profile
Malin Pinsky
Rutgers University
Author Profile

Abstract

Understanding the evolutionary consequences of anthropogenic change is imperative for estimating long-term species resilience. While contemporary genomic data can provide us with important insights into recent demographic histories, investigating past change using present genomic data alone has limitations. In comparison, temporal genomics studies, defined herein as those that incorporate time series genomic data, leverage museum collections and repeated field sampling to directly examine evolutionary change. As temporal genomics is applied to more systems, species, and questions, best practices can be helpful guides to make the most efficient use of limited resources. Here, we conduct a systematic literature review to synthesize the effects of temporal genomics methodology on our ability to detect evolutionary changes. We focus on studies investigating recent change within the past 200 years, highlighting evolutionary processes that have occurred during the past two centuries of accelerated anthropogenic pressure. We first identify the most frequently studied taxa, systems, questions, and drivers, before highlighting overlooked areas where further temporal genomic studies may be particularly enlightening. Then, we provide guidelines for future study and sample designs while identifying key considerations that may influence statistical and analytical power. Our aim is to provide recommendations to a broad array of researchers interested in using temporal genomics in their work.
06 Dec 2022Submitted to Molecular Ecology Resources
14 Dec 2022Submission Checks Completed
14 Dec 2022Assigned to Editor
14 Dec 2022Review(s) Completed, Editorial Evaluation Pending
17 Dec 2022Reviewer(s) Assigned
20 Jan 2023Editorial Decision: Revise Minor
19 Feb 20231st Revision Received
22 Feb 2023Submission Checks Completed
22 Feb 2023Assigned to Editor
22 Feb 2023Review(s) Completed, Editorial Evaluation Pending
23 Feb 2023Reviewer(s) Assigned
20 Mar 2023Editorial Decision: Accept