亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Species delimitation with distinct methods based on molecular data to elucidate species boundaries in the Cycas taiwaniana complex (Cycadaceae)

生物 溯祖理论 物种复合体 进化生物学 分类单元 人口 系统地理学 系统发育学 分子系统发育学 生物地理学 系统发育树 生态学 遗传学 基因 人口学 社会学
作者
Xiuyan Feng,Xinhui Wang,Yu–Chung Chiang,Shuguang Jian,Xun Gong
出处
期刊:Taxon [Wiley]
卷期号:70 (3): 477-491 被引量:10
标识
DOI:10.1002/tax.12457
摘要

Abstract Accurately delimiting species boundaries is of critical importance in many areas of biology including population genetics, conservation biology, biogeography, and evolutionary biology because inaccurate species delimitation may significantly affect downstream inferences. The Cycas taiwaniana complex consists of six morphologically similar taxa ( C. changjiangensis , C. fairylakea , C. hainanensis , C. lingshuigensis , C. szechuanensis , C. taiwaniana ) that are distributed throughout a narrow region of South China. The members of this complex and the taxonomic status of their names have long been debated. In this study, combining morphological characteristics, we employed three distinct approaches to delimit species: haplotype phylogeny delimitation, Bayesian coalescent species delimitation (BPP), and population cluster analyses. To delimitate the species boundaries within the C. taiwaniana complex, we used 4 plastid intergenic spacers (cpDNA), 4 nuclear genes (nDNA) and 10 microsatellites. All three approaches revealed the presence of two distinct species in the C. taiwaniana complex under the unified species concept, C. taiwaniana and C. szechuanensis , largely corresponding to morphological differentiation. Cycas fairylakea was a synonym for C. szechuanensis , and the other three taxa were synonyms for C. taiwaniana . Species delimitation using molecular data was consistent with our preliminary morphological inference. This study thus optimally resolved the species boundaries and taxonomic treatment of the C. taiwaniana complex from an integrated perspective using multiple sources of molecular data and distinct analytical approaches.

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
上官若男应助樊珩采纳,获得10
5秒前
77完成签到,获得积分10
5秒前
7秒前
修fei完成签到 ,获得积分10
7秒前
苏城发布了新的文献求助10
7秒前
9秒前
小值钱完成签到,获得积分10
10秒前
10秒前
科研通AI6.3应助樊珩采纳,获得10
11秒前
顺其自然发布了新的文献求助10
14秒前
李健的小迷弟应助百分采纳,获得10
14秒前
15秒前
24秒前
百分发布了新的文献求助10
24秒前
27秒前
CodeCraft应助粗心的诗霜采纳,获得10
27秒前
27秒前
chiaoyin999发布了新的文献求助10
29秒前
31秒前
哈哈发布了新的文献求助10
32秒前
李爱国应助樊珩采纳,获得10
34秒前
LZK完成签到,获得积分10
35秒前
周可可完成签到,获得积分20
35秒前
36秒前
科研通AI6.2应助周可可采纳,获得10
39秒前
百分发布了新的文献求助10
40秒前
思源应助樊珩采纳,获得20
41秒前
44秒前
Sun1314完成签到,获得积分10
46秒前
littlejin完成签到 ,获得积分10
48秒前
guan完成签到,获得积分10
49秒前
Owen应助百分采纳,获得10
49秒前
领导范儿应助大佬求求了采纳,获得10
50秒前
星辰大海应助鳗鱼向日葵采纳,获得10
50秒前
56秒前
李健应助醒醒别睡采纳,获得10
56秒前
58秒前
59秒前
1分钟前
范莉完成签到,获得积分10
1分钟前
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
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7496300
求助须知:如何正确求助?哪些是违规求助? 9087262
关于积分的说明 19382316
捐赠科研通 7107427
什么是DOI,文献DOI怎么找? 3249980
关于科研通互助平台的介绍 2419412
邀请新用户注册赠送积分活动 2235736