How Many Landmarks? Assessing the Classification Accuracy of Pan Lower Molars Using a Geometric Morphometric Analysis of the Occlusal Basin as Seen at the Enamel-Dentine Junction

作者
Matthew M. Skinner,Philipp Gunz,Bernard A. Wood,Jean‐Jacques Hublin
出处
期刊:Frontiers of oral physiology 卷期号:13: 23-29 被引量:17
标识
DOI:10.1159/000242385
摘要

Previous research has demonstrated that species and subspecies of extant chimpanzees and bonobos can be distinguished on the basis of the shape of enamel-dentine junction of lower molar crowns. Thus, there is potential for fossil taxa, particularly fossil hominins, to be distinguished at similar taxonomic levels using lower molar crown morphology. New imaging techniques allow for the collection of large amounts of shape data, but it is not clear whether taxonomic distinctiveness increases with the inclusion of more and more finely detailed aspects of crown shape. We examine whether increasing the amount of shape data collected will lead to an increase in the accuracy with which enamel-dentine junction (EDJ) shape classifies Pan lower first and second molars at the species and subspecies level. Micro-computed tomography was employed to non-destructively image the EDJ and geometric morphometric analytical methods were used to compare EDJ shape among samples of Pan paniscus, Pan troglodytestroglodytes, and Pan troglodytes verus. The results of discriminant analyses using three landmark sets (number of landmarks=8, 112, and 534 landmarks and semi-landmarks, respectively) indicate a high degree of classification accuracy for each landmark set, with small increases in accuracy as the numbers of landmarks are increased. The morphological differences in EDJ shape among the taxa are subtle, but consistent, and relate to the relative height and position of the dentine horns. Thus, EDJ shape can contribute to taxonomic analyses and the more information that can be included the better.

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
923完成签到,获得积分10
刚刚
呼初南完成签到,获得积分20
刚刚
妖九笙发布了新的文献求助10
1秒前
乐乐的应助被Tangxuanyu采纳,获得10
1秒前
1秒前
厉害了发布了新的文献求助10
1秒前
Ava的应助被学术蝗虫采纳,获得10
1秒前
飞翔发布了新的文献求助10
2秒前
甜美的问兰完成签到,获得积分10
3秒前
江屿完成签到,获得积分10
3秒前
wanci的应助被不解释采纳,获得10
4秒前
小姚姚完成签到,获得积分10
4秒前
云野星陨完成签到,获得积分10
5秒前
好运莲莲关注了科研通微信公众号
7秒前
JamesPei的应助被123456采纳,获得10
7秒前
Young完成签到 ,获得积分10
7秒前
7秒前
zcz完成签到,获得积分10
8秒前
8秒前
8秒前
小马甲的应助被wzs采纳,获得10
8秒前
8秒前
夏雪儿完成签到,获得积分10
8秒前
王先生完成签到 ,获得积分10
9秒前
10秒前
ccmu完成签到,获得积分10
10秒前
10秒前
科研通AI6.2的应助被蔺不平采纳,获得10
10秒前
10秒前
gogogo完成签到,获得积分10
10秒前
共享精神的应助被TRNA采纳,获得30
10秒前
末末完成签到,获得积分10
10秒前
11秒前
11秒前
12秒前
zzzzzzzzz完成签到 ,获得积分10
12秒前
zzw发布了新的文献求助10
12秒前
风清扬的应助被HALO采纳,获得10
12秒前
论文吞噬者完成签到,获得积分10
12秒前
二拾完成签到,获得积分10
13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
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Les Mots du discours 600
A Consideration on Use of Material Grades for Hull Structural Members Based on Fracture Toughness(Second Report) 500
AI Disclosure in Annual Reports: Evolution, Determinants, and Capital Market Participants’ Perceptions 500
5th World Conference on Detergents: Reinventing the Industry : Opportunities and Challenges 500
Erzählte Gnade 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8110666
求助须知:如何正确求助?哪些是违规求助? 9517987
关于积分的说明 21516449
捐赠科研通 7688256
什么是DOI,文献DOI怎么找? 3411898
关于科研通互助平台的介绍 2538782
邀请新用户注册赠送积分活动 2451572