Divergence time and environmental similarity predict the strength of morphological convergence in stick and leaf insects

收敛演化 生物 分歧(语言学) 进化生物学 适应(眼睛) 相似性(几何) 趋同(经济学) 特质 可预测性 选择(遗传算法) 自然选择 意外事故 生态学 遗传分化 分类单元 系统发育学 遗传多样性 基因 遗传学 统计 程序设计语言 神经科学 人口 经济 人工智能 人口学 社会学 哲学 图像(数学) 经济增长 语言学 计算机科学 数学
作者
Romain Boisseau,Sven Bradler,Douglas J. Emlen
标识
DOI:10.1101/2023.11.07.565940
摘要

Abstract Independent evolution of similar traits in lineages inhabiting similar environments (convergent evolution) is often taken as evidence for adaptation by natural selection, and used to illustrate the predictability of evolution. Yet convergence is rarely perfect. Environments may not be as similar as they appear (e.g., habitats scored the same may be heterogenous to the organisms). And lineages can evolve in different ways even when submitted to the same environmental challenges, because responses to selection are contingent upon available genetic variation and independent lineages may differ in the alleles, genetic backgrounds, and even the developmental mechanisms responsible for the phenotypes in question. Both impediments to convergence are predicted to increase as the length of time separating two lineages increases, making it difficult to discern their relative importance. We quantified environmental similarity and the extent of convergence to show how habitat and divergence time each contribute to observed patterns of morphological evolution in stick and leaf insects (order Phasmatodea). Dozens of phasmid lineages independently colonized similar habitats, repeatedly evolving in parallel directions on a 26-trait morphospace, though the magnitude and direction of these shifts varied. Lineages converging towards more similar environments ended up closer on the morphospace, as did closely related lineages, and closely related lineages followed more parallel trajectories to arrive there. Remarkably, after accounting for habitat similarity, we show that divergence time reduced convergence at a constant rate across more than 60 million years of separation, suggesting even the magnitude of contingency can be predictable, given sufficient spans of time. Significance statement Phasmids (stick and leaf insects) exemplify the extraordinary power of natural selection to shape organismal phenotypes. The animals themselves are charismatic champions of crypsis and masquerade; and our characterization of their adaptive radiation reveals dozens of instances of convergence, as lineages adapted to similar changes in habitat by repeatedly evolving similar body forms. Our findings show that the similarity of environmental conditions experienced by the organisms – the closeness of the invaded niches – and the extent of elapsed time since divergence, both predict the strength of morphological convergence. The phasmid radiation reveals an evolutionary process that is surprisingly predictable, even when lineages have been evolving independently for tens of millions of years.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
科研通AI6.4应助孙金宇采纳,获得10
刚刚
刚刚
Lll完成签到,获得积分0
1秒前
1秒前
1秒前
1秒前
1秒前
1秒前
奋斗往事发布了新的文献求助10
2秒前
2秒前
小羊发布了新的文献求助10
2秒前
2秒前
追寻冰淇淋完成签到,获得积分10
2秒前
hao发布了新的文献求助10
3秒前
jclin发布了新的文献求助10
4秒前
4秒前
abner完成签到,获得积分10
4秒前
ou完成签到 ,获得积分10
4秒前
5秒前
5秒前
111发布了新的文献求助10
5秒前
111发布了新的文献求助10
5秒前
111发布了新的文献求助10
5秒前
111发布了新的文献求助10
5秒前
5秒前
111发布了新的文献求助10
5秒前
111发布了新的文献求助10
5秒前
111发布了新的文献求助10
5秒前
6秒前
OK给贾小闲的求助进行了留言
6秒前
上官若男应助Y雨采纳,获得10
6秒前
范宇杰完成签到 ,获得积分10
6秒前
ddd完成签到 ,获得积分20
6秒前
长情剑成发布了新的文献求助10
7秒前
7秒前
默默发布了新的文献求助10
7秒前
zzx完成签到,获得积分10
9秒前
奥利奥发布了新的文献求助10
9秒前
9秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6677851
求助须知:如何正确求助?哪些是违规求助? 8424668
关于积分的说明 18007819
捐赠科研通 5893349
什么是DOI,文献DOI怎么找? 2980138
邀请新用户注册赠送积分活动 1956025
关于科研通互助平台的介绍 1888021