Dense infraspecific sampling reveals cryptic differentiation in the enigmatic hemiparasitic love vine Cassytha filiformis (Lauraceae)

樟科 藤蔓 生物 植物 进化生物学
作者
Zhi‐Fang Liu,Shi‐Fang Zhang,Alex D. Twyford,Xiuqin Ci,Lang Li,Xiaoyan Zhang,Jianlin Hu,Jun-Ru Tan,Guang‐Da Tang,Shengyuan Qin,Ling Hu,Ding Xin,Hong‐Hu Meng,Lina Dong,Ting Huang,Hongjuan Ma,Jianhua Xiao,Chaonan Cai,John G. Conran,Qi Wang,Peter Hollingsworth,Jie Li
出处
期刊:Journal of Systematics and Evolution [Wiley]
标识
DOI:10.1111/jse.13069
摘要

Abstract Species delimitation remains a challenge worldwide, especially in highly diverse tropical and subtropical regions. Here, we use an integrative approach that combines morphology, phylogenomics, and species distribution modeling (SDM) to clarify the cryptic differentiation within the enigmatic hemiparasitic love vine Cassytha filiformis (Lauraceae) in China and adjacent regions. We generated complete plastid genomes and nuclear ribosomal sequences for diverse samples from across the species range and compared results with previously published plastid data, recovering two well‐supported monophyletic clades. Further, the analysis revealed significant differences in two morphological characters and SDM, indicating distinct environmental factors influencing their distributions. Fossil‐calibrated analyses to estimate the origins and diversification patterns for the cryptic species gave divergence age estimates corresponding to the Oligo‐Miocene; a period of new ecological opportunities associated with the prevailing East Asian monsoon. Multivariate analyses support the conclusion that southern China and adjacent regions have a different, previously unknown, cryptic lineage of C. filiformis . Our study highlights the importance of using multivariate approach to characterize plant species, as well as the significant role that past climatic changes have played in driving speciation in parasitic plants in tropical and subtropical zones.
最长约 10秒,即可获得该文献文件

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
忧虑的花卷完成签到,获得积分10
刚刚
youyou完成签到,获得积分10
1秒前
bkagyin应助skynnnim采纳,获得10
1秒前
文华完成签到,获得积分10
1秒前
Michael发布了新的文献求助10
1秒前
润华完成签到 ,获得积分10
2秒前
莎头完成签到,获得积分10
2秒前
Capital完成签到,获得积分10
3秒前
3秒前
jinjunv发布了新的文献求助30
3秒前
4秒前
4秒前
keyaner完成签到,获得积分10
4秒前
恰恰来吃完成签到 ,获得积分10
5秒前
哈哈哈完成签到,获得积分10
5秒前
xlz110完成签到,获得积分10
5秒前
孤僻完成签到,获得积分10
6秒前
热心冷亦完成签到,获得积分10
6秒前
6秒前
bakasha完成签到,获得积分10
6秒前
开朗的戎完成签到,获得积分10
6秒前
7秒前
jinxli完成签到 ,获得积分10
8秒前
悦悦发布了新的文献求助10
9秒前
迷失浪人完成签到,获得积分20
9秒前
轮滑鞋发布了新的文献求助10
9秒前
慕青应助月蚀六花采纳,获得10
10秒前
枯木逢春完成签到,获得积分0
10秒前
Michael完成签到,获得积分20
10秒前
sheep完成签到,获得积分10
10秒前
11秒前
万能图书馆应助大袁采纳,获得10
11秒前
泽宸完成签到,获得积分10
11秒前
jjlyy完成签到,获得积分10
11秒前
一叶扁舟发布了新的文献求助10
11秒前
奋斗若风完成签到,获得积分10
12秒前
华仔应助悦耳小蝴蝶采纳,获得10
13秒前
TANGT完成签到,获得积分10
13秒前
狂歌痛饮空度日完成签到,获得积分10
13秒前
美满映寒完成签到 ,获得积分10
13秒前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Yaws' Handbook of Antoine coefficients for vapor pressure 500
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2551550
求助须知:如何正确求助?哪些是违规求助? 2177684
关于积分的说明 5610218
捐赠科研通 1898579
什么是DOI,文献DOI怎么找? 947941
版权声明 565534
科研通“疑难数据库(出版商)”最低求助积分说明 504210