Is 3D, a more accurate quantitative method than 2D, crucial for analyzing disparity patterns in extinct marine arthropods (Trilobita)?

地理 古生物学 进化生物学 生物
作者
Catherine Crônier,Sébastien Couette,Rémi Laffont
出处
期刊:Paleobiology [Cambridge University Press]
卷期号:: 1-19
标识
DOI:10.1017/pab.2024.44
摘要

Abstract Phacopid trilobites are well documented during the Paleozoic. Nevertheless, while 2D quantitative analyses have advanced our understanding of the morphological relationships among trilobites, the quantification of their morphological traits in 3D remains rarely documented. Based on two sets of morphological data (head and tail), 2D versus 3D shape quantification approaches were used to explore shape allometries as well as to explore how the shape variations can be explained by the phylogenetic relationships among phacopid trilobite species for the first time. We demonstrate that (1) there are similar patterns of morphological variability across taxa in 3D and 2D; (2) there are rather congruent results between 3D and 2D to discriminate taxa; (3) 2D and 3D landmarks capture different levels of detail, and the third dimension in 3D is very important for making taxonomic distinctions at the genus level; (4) there is congruity between 2D and 3D datasets for allometric patterns with results showing similar allometric slopes among species exhibiting a glabellar length decrease during growth leading to wider cephala; (5) the phylomorphospaces show tree branches that do not intersect, suggesting possible phylogenetic constraints on morphospace occupation for each species and supporting the idea that the Austerops and Morocops groups are sister clades that experienced different modes of morphological evolution; and (6) the morphological descriptors in morphometric analyses in 2D and 3D throughout phacopid evolution are effective.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
2秒前
giucher完成签到,获得积分10
3秒前
苗玉完成签到,获得积分10
5秒前
汉堡包应助BisonHamster采纳,获得10
5秒前
打打应助QIULIN采纳,获得10
6秒前
浮游应助梦幻采纳,获得10
9秒前
林间清晨完成签到 ,获得积分10
10秒前
共享精神应助哇咔咔采纳,获得10
11秒前
领导范儿应助昧冒冰采纳,获得10
12秒前
12秒前
12秒前
14秒前
winter关注了科研通微信公众号
14秒前
15秒前
15秒前
烟花应助科研民工李采纳,获得10
17秒前
17秒前
高嘉完成签到,获得积分10
17秒前
爱听歌的悒完成签到 ,获得积分10
18秒前
延胡索发布了新的文献求助10
18秒前
大模型应助yyf采纳,获得10
19秒前
amos完成签到 ,获得积分10
19秒前
热情的笑白完成签到,获得积分10
19秒前
yyljc完成签到,获得积分10
20秒前
hsa_ID完成签到,获得积分10
20秒前
专注迎荷发布了新的文献求助10
20秒前
21秒前
予光发布了新的文献求助10
21秒前
七七发布了新的文献求助10
21秒前
coucou完成签到,获得积分10
22秒前
Smile完成签到,获得积分10
22秒前
22秒前
王鴻源完成签到,获得积分10
23秒前
阿良完成签到,获得积分10
23秒前
25秒前
浮游应助nnnd77采纳,获得10
25秒前
zzz发布了新的文献求助10
25秒前
FashionBoy应助鲸鱼采纳,获得10
28秒前
28秒前
充电宝应助雪白鸿涛采纳,获得10
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Zeolites: From Fundamentals to Emerging Applications 1500
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
Handbook of Social and Emotional Learning, Second Edition 900
2026国自然单细胞多组学大红书申报宝典 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4916325
求助须知:如何正确求助?哪些是违规求助? 4189814
关于积分的说明 13012664
捐赠科研通 3959170
什么是DOI,文献DOI怎么找? 2170584
邀请新用户注册赠送积分活动 1188721
关于科研通互助平台的介绍 1096704