Morphometric analysis of Passiflora leaves: the relationship between landmarks of the vasculature and elliptical Fourier descriptors of the blade

西番莲 生物 形态学(生物学) 刀(考古) 地标 生物系统 叶片 解剖 植物 进化生物学 人工智能 计算机科学 地理 动物 考古
作者
Daniel H. Chitwood,Wagner Campos Otoni
出处
期刊:GigaScience [Oxford University Press]
卷期号:6 (1) 被引量:68
标识
DOI:10.1093/gigascience/giw008
摘要

Background: Leaf shape among Passiflora species is spectacularly diverse. Underlying this diversity in leaf shape are profound changes in the patterning of the primary vasculature and laminar outgrowth. Each of these aspects of leaf morphology—vasculature and blade—provides different insights into leaf patterning. Results: Here, we morphometrically analyze >3300 leaves from 40 different Passiflora species collected sequentially across the vine. Each leaf is measured in two different ways: using 1) 15 homologous Procrustes-adjusted landmarks of the vasculature, sinuses, and lobes; and 2) Elliptical Fourier Descriptors (EFDs), which quantify the outline of the leaf. The ability of landmarks, EFDs, and both datasets together are compared to determine their relative ability to predict species and node position within the vine. Pairwise correlation of x and y landmark coordinates and EFD harmonic coefficients reveals close associations between traits and insights into the relationship between vasculature and blade patterning. Conclusions: Landmarks, more reflective of the vasculature, and EFDs, more reflective of the blade contour, describe both similar and distinct features of leaf morphology. Landmarks and EFDs vary in ability to predict species identity and node position in the vine and exhibit a correlational structure (both within landmark or EFD traits and between the two data types) revealing constraints between vascular and blade patterning underlying natural variation in leaf morphology among Passiflora species.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
1秒前
1秒前
井野浮应助choubao采纳,获得10
1秒前
1秒前
1秒前
2秒前
都是发布了新的文献求助10
2秒前
Aria发布了新的文献求助30
4秒前
米花发布了新的文献求助10
4秒前
4秒前
不配.应助小党打地鼠采纳,获得10
4秒前
5秒前
zhangyulong发布了新的文献求助10
5秒前
sooya发布了新的文献求助10
5秒前
咯咚发布了新的文献求助10
5秒前
pluto应助Aprilapple采纳,获得10
6秒前
6秒前
李麟发布了新的文献求助10
6秒前
可耐的摩托完成签到,获得积分10
7秒前
良月发布了新的文献求助30
8秒前
向阳发布了新的文献求助10
8秒前
8秒前
丘比特应助科研通管家采纳,获得10
9秒前
xjcy应助科研通管家采纳,获得10
9秒前
FashionBoy应助科研通管家采纳,获得10
9秒前
深情安青应助科研通管家采纳,获得10
9秒前
赘婿应助科研通管家采纳,获得10
9秒前
赘婿应助科研通管家采纳,获得10
9秒前
小白应助科研通管家采纳,获得10
9秒前
烟花应助科研通管家采纳,获得10
9秒前
科研通AI2S应助周安宁采纳,获得10
9秒前
小蘑菇应助科研通管家采纳,获得30
10秒前
丘比特应助科研通管家采纳,获得10
10秒前
Endlessway应助科研通管家采纳,获得20
10秒前
聪聪完成签到,获得积分10
10秒前
10秒前
10秒前
脑洞疼应助科研通管家采纳,获得10
10秒前
10秒前
高分求助中
歯科矯正学 第7版(或第5版) 1004
Semiconductor Process Reliability in Practice 1000
Smart but Scattered: The Revolutionary Executive Skills Approach to Helping Kids Reach Their Potential (第二版) 1000
GROUP-THEORY AND POLARIZATION ALGEBRA 500
Mesopotamian divination texts : conversing with the gods : sources from the first millennium BCE 500
Days of Transition. The Parsi Death Rituals(2011) 500
The Heath Anthology of American Literature: Early Nineteenth Century 1800 - 1865 Vol. B 500
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3233513
求助须知:如何正确求助?哪些是违规求助? 2880149
关于积分的说明 8213874
捐赠科研通 2547481
什么是DOI,文献DOI怎么找? 1377007
科研通“疑难数据库(出版商)”最低求助积分说明 647713
邀请新用户注册赠送积分活动 623154