Back in black: melanin-rich skin colour associated with increased net diversification rates in birds

生物 羽毛 羽毛 性别选择 自然选择 进化生物学 适应(眼睛) 特质 深色皮肤 生态学 动物 选择(遗传算法) 遗传学 人工智能 神经科学 程序设计语言 计算机科学
作者
Michaël P. J. Nicolaï,Raf Vanisterbecq,Matthew D. Shawkey,Liliana D’Alba
出处
期刊:Biology Letters [Royal Society]
卷期号:19 (12) 被引量:2
标识
DOI:10.1098/rsbl.2023.0304
摘要

Evolutionary biologists have long been interested in understanding the factors that promote diversification in organisms, often focussing on distinct and/or conspicuous phenotypes with direct effects on natural or sexual selection such as body size and plumage coloration. However, multiple traits that potentially influence net diversification are not conspicuous and/or might be concealed. One such trait, the dark, melanin-rich skin concealed beneath the feathers, evolved more than 100 times during avian evolution, frequently in association with white feathers on the crown and UV-rich environments, suggesting that it is a UV-photoprotective adaptation. Furthermore, multiple species are polymorphic, having both light and dark skin potentially aiding occupation in different UV radiation environments. As such these polymorphisms are predicted to occur in species with large latitudinal variation in their distribution. Furthermore, by alleviating evolutionary constraints on feather colour, the evolution of dark skin may promote net diversification. Here, using an expanded dataset on bird skin coloration of 3033 species we found that more than 19% of species had dark skin. In contrast to our prediction, dark skinned birds have smaller distribution ranges. Furthermore, both dark skin and polymorphism in skin coloration promote net diversification. These results suggest that even concealed traits can influence large scale evolutionary events such as diversification in birds.

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
脑洞疼应助一念初见采纳,获得10
刚刚
科研通AI2S应助zhouyin2采纳,获得10
1秒前
2秒前
科研通AI6.1应助博儒艾特采纳,获得10
2秒前
合适的铃铛完成签到,获得积分10
2秒前
msw发布了新的文献求助10
2秒前
艾伊完成签到,获得积分10
3秒前
坚定的千万完成签到,获得积分10
4秒前
123完成签到,获得积分10
5秒前
小龙发布了新的文献求助10
5秒前
5秒前
陶陶子完成签到 ,获得积分10
6秒前
红桃小六发布了新的文献求助10
6秒前
一只鲨呱发布了新的文献求助10
6秒前
6秒前
Zzzzzzz发布了新的文献求助10
7秒前
看看完成签到,获得积分10
7秒前
7秒前
8秒前
8秒前
FashionBoy应助msw采纳,获得10
8秒前
9秒前
科研通AI6.1应助YXJ采纳,获得10
9秒前
岩溶文盲完成签到,获得积分10
9秒前
Moo完成签到 ,获得积分10
9秒前
Threeeeeee发布了新的文献求助10
10秒前
深情安青应助LouieHuang采纳,获得10
10秒前
思源应助LouieHuang采纳,获得10
10秒前
李爱国应助LouieHuang采纳,获得10
10秒前
FashionBoy应助LouieHuang采纳,获得10
10秒前
情怀应助LouieHuang采纳,获得10
10秒前
无花果应助LouieHuang采纳,获得10
10秒前
丘比特应助LouieHuang采纳,获得10
10秒前
Jasper应助LouieHuang采纳,获得10
10秒前
molihuakai应助LouieHuang采纳,获得10
10秒前
传奇3应助LouieHuang采纳,获得10
10秒前
Ma完成签到,获得积分10
10秒前
冲冲冲完成签到,获得积分10
11秒前
隐形小湫完成签到,获得积分10
11秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Introduction to Cosmetic Formulation and Technology, 2nd Edition 400
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
Programming for Chemical Engineers Using C, C++, and MATLAB 320
Birth of Twins After Genome Editing for HIV Resistance 300
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 6691959
求助须知:如何正确求助?哪些是违规求助? 8435023
关于积分的说明 18022207
捐赠科研通 5920038
什么是DOI,文献DOI怎么找? 2985355
邀请新用户注册赠送积分活动 1961279
关于科研通互助平台的介绍 1900578