Pangenomes at the limits of evolution

IF 16.7 1区生物学 Q1 ECOLOGY

Trends in ecology & evolution Pub Date : 2024-04-04 DOI:10.1016/j.tree.2024.03.008

Joanna M. Wolfe

引用次数: 0

Abstract

Evolutionary pathways can be random or deterministic. In a recent article, Beavan et al. investigate this balance by applying machine learning models to microbial pangenomes. The presence of almost one-third of genes can be reliably inferred, indicating a surprising amount of predictable evolution.

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处于进化极限的庞然大物

进化路径可以是随机的，也可以是确定的。在最近的一篇文章中，Beavan 等人通过将机器学习模型应用于微生物泛基因组来研究这种平衡。近三分之一基因的存在可以可靠地推断出来，这表明可预测的进化数量惊人。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Trends in ecology & evolution 生物-进化生物学

CiteScore

26.50

自引率

3.00%

发文量

178

审稿时长

6-12 weeks

期刊介绍： Trends in Ecology & Evolution (TREE) is a comprehensive journal featuring polished, concise, and readable reviews, opinions, and letters in all areas of ecology and evolutionary science. Catering to researchers, lecturers, teachers, field workers, and students, it serves as a valuable source of information. The journal keeps scientists informed about new developments and ideas across the spectrum of ecology and evolutionary biology, spanning from pure to applied and molecular to global perspectives. In the face of global environmental change, Trends in Ecology & Evolution plays a crucial role in covering all significant issues concerning organisms and their environments, making it a major forum for life scientists.