AI Article Synopsis

  • Hurricanes cause significant damage not only to human life but also to ecological systems, leading to mass mortality events in wildlife.
  • A study on Anolis scriptus lizards in the Turks and Caicos demonstrated that survivors exhibited changes in key morphological traits like body size and limb length after being affected by Hurricanes Irma and Maria, indicating natural selection at work.
  • This research highlights the potential for extreme weather events to drive evolutionary changes, suggesting that future studies on evolution should consider the impact of increasingly frequent and intense climate events.

Article Abstract

Hurricanes are catastrophically destructive. Beyond their toll on human life and livelihoods, hurricanes have tremendous and often long-lasting effects on ecological systems. Despite many examples of mass mortality events following hurricanes, hurricane-induced natural selection has not previously been demonstrated. Immediately after we finished a survey of Anolis scriptus-a common, small-bodied lizard found throughout the Turks and Caicos archipelago-our study populations were battered by Hurricanes Irma and Maria. Shortly thereafter, we revisited the populations to determine whether morphological traits related to clinging capacity had shifted in the intervening six weeks and found that populations of surviving lizards differed in body size, relative limb length and toepad size from those present before the storm. Our serendipitous study, which to our knowledge is the first to use an immediately before and after comparison to investigate selection caused by hurricanes, demonstrates that hurricanes can induce phenotypic change in a population and strongly implicates natural selection as the cause. In the decades ahead, as extreme climate events are predicted to become more intense and prevalent, our understanding of evolutionary dynamics needs to incorporate the effects of these potentially severe selective episodes.

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41586-018-0352-3DOI Listing

Publication Analysis

Top Keywords

natural selection
8
hurricanes
6
hurricane-induced selection
4
selection morphology
4
morphology island
4
island lizard
4
lizard hurricanes
4
hurricanes catastrophically
4
catastrophically destructive
4
destructive toll
4

Similar Publications

Protocol for the purification of the plastid-encoded RNA polymerase from transplastomic tobacco plants.

STAR Protoc

January 2025

National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China. Electronic address:

The plastid-encoded RNA polymerase (PEP) plays an essential role in the transcription of the chloroplast genome. Here, we present a strategy to purify the transcriptionally active protein complex from transplastomic tobacco (Nicotiana tabacum) lines in which one of the PEP core subunits is fused to an epitope tag. We describe experimental procedures for designing transformation constructs for PEP purification, selection, and analysis of transplastomic tobacco plants.

View Article and Find Full Text PDF

A prediction study on the occurrence risk of heart disease in older hypertensive patients based on machine learning.

BMC Geriatr

January 2025

Department of Cardiology, The Second Hospital & Clinical Medical School, Lanzhou University, No. 82 Cuiyingmen, Lanzhou, 730000, China.

Objective: Constructing a predictive model for the occurrence of heart disease in elderly hypertensive individuals, aiming to provide early risk identification.

Methods: A total of 934 participants aged 60 and above from the China Health and Retirement Longitudinal Study with a 7-year follow-up (2011-2018) were included. Machine learning methods (logistic regression, XGBoost, DNN) were employed to build a model predicting heart disease risk in hypertensive patients.

View Article and Find Full Text PDF

Background: The observed growth variability of different aquaculture species in captivity hinders its large-scale production. For the sandfish Holothuria scabra, a tropical sea cucumber species, there is a scarcity of information on its intestinal microbiota in relation to host growth, which could provide insights into the processes that affect growth and identify microorganisms with probiotic or biochemical potential that could improve current production strategies. To address this gap, this study used 16 S rRNA amplicon sequencing to characterize differences in gut and fecal microbiota among large and small juveniles reared in floating ocean nurseries.

View Article and Find Full Text PDF

In the face of forest fire emergencies, fast and efficient dispatching of rescue vehicles is an important means of mitigating the damage caused by forest fires, and is an effective method of avoiding secondary damage caused by forest fires, minimizing the damage caused by forest fires to the ecosystem, and mitigating the losses caused by economic development. this paper takes the actual problem as the starting point, constructs a reasonable mathematical model of the problem, for the special characteristics of the emergency rescue vehicle scheduling problem of forest fires, taking into account the actual road conditions in the northern pristine forest area, through the analysis of the cost of paths between the forest area and the highway, to obtain the least obstructed rescue paths, to narrow the gap between the theoretical model and the problem of the actual. Improvement of ordinary genetic algorithm, design of double population strategy selection operation, the introduction of chaotic search initialization population, to improve the algorithm's solution efficiency and accuracy, through the northern pristine forest area of Daxing'anling real forest fire cases and generation of large-scale random fire point simulation experimental test to verify the effectiveness of the algorithm, to ensure that the effectiveness and reasonableness of the solution to the problem of forest fire emergency rescue vehicle scheduling program.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!