A predicted developmental and evolutionary morphospace for grapevine leaves.

Daniel H Chitwood, Joey Mullins
{"title":"A predicted developmental and evolutionary morphospace for grapevine leaves.","authors":"Daniel H Chitwood,&nbsp;Joey Mullins","doi":"10.1017/qpb.2022.13","DOIUrl":null,"url":null,"abstract":"<p><p>Using conventional statistical approaches there exist powerful methods to classify shapes. Embedded in morphospaces is information that allows us to visualise theoretical leaves. These unmeasured leaves are never considered nor how the negative morphospace can inform us about the forces responsible for shaping leaf morphology. Here, we model leaf shape using an allometric indicator of leaf size, the ratio of vein to blade areas. The borders of the observable morphospace are restricted by constraints and define an orthogonal grid of developmental and evolutionary effects which can predict the shapes of possible grapevine leaves. Leaves in the genus <i>Vitis</i> are found to fully occupy morphospace available to them. From this morphospace, we predict the developmental and evolutionary shapes of grapevine leaves that are not only possible, but exist, and argue that rather than explaining leaf shape in terms of discrete nodes or species, that a continuous model is more appropriate.</p>","PeriodicalId":20825,"journal":{"name":"Quantitative Plant Biology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b2/fc/S2632882822000133a.PMC10095972.pdf","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Plant Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/qpb.2022.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Using conventional statistical approaches there exist powerful methods to classify shapes. Embedded in morphospaces is information that allows us to visualise theoretical leaves. These unmeasured leaves are never considered nor how the negative morphospace can inform us about the forces responsible for shaping leaf morphology. Here, we model leaf shape using an allometric indicator of leaf size, the ratio of vein to blade areas. The borders of the observable morphospace are restricted by constraints and define an orthogonal grid of developmental and evolutionary effects which can predict the shapes of possible grapevine leaves. Leaves in the genus Vitis are found to fully occupy morphospace available to them. From this morphospace, we predict the developmental and evolutionary shapes of grapevine leaves that are not only possible, but exist, and argue that rather than explaining leaf shape in terms of discrete nodes or species, that a continuous model is more appropriate.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
预测的葡萄叶片发育和进化形态空间。
使用传统的统计方法,存在强大的方法来对形状进行分类。嵌入形态空间的信息使我们能够可视化理论叶子。这些未测量的叶子从未被考虑过,也没有考虑过负形态空间如何告诉我们负责塑造叶子形态的力量。在这里,我们使用叶片大小的异速生长指标,叶脉与叶片面积的比率来模拟叶片形状。可观察形态空间的边界受到约束,并定义了一个发育和进化效应的正交网格,可以预测可能的葡萄藤叶子的形状。葡萄属的叶子被发现完全占据了它们可用的形态空间。从这个形态空间,我们预测了葡萄藤叶片的发育和进化形状,这些形状不仅是可能的,而且是存在的,并认为不是用离散节点或物种来解释叶片形状,而是一个连续的模型更合适。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Barthlott effect Heritable responses to stress in plants Quantification of pollen viability in Lantana camara by digital holographic microscopy. The 1972 Meadows report: A wake-up call for plant science. Model-based reconstruction of whole organ growth dynamics reveals invariant patterns in leaf morphogenesis.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1