five

Data from: Limitations of species delimitation based on phylogenetic analyses: a case study in the (Hypogymnia hypotrypa) group (Parmeliaceae, Ascomycota)

收藏
DataONE2016-12-02 更新2024-06-26 收录
公开
3KB
下载链接:
https://search.dataone.org/view/null
下载链接
链接失效反馈
资源简介:
Delimiting species boundaries among closely related lineages often requires a range of independent data sets and analytical approaches. Similar to other organismal groups, robust species circumscriptions in fungi are increasingly investigated within an empirical framework. Here we attempt to delimit species boundaries in a closely related clade of lichen-forming fungi endemic to Asia, the Hypogymnia hypotrypa group (Parmeliaceae). In the current classification, the Hypogymnia hypotrypa group includes two species: H. hypotrypa and H. flavida, which are separated based on distinctive reproductive modes, the former producing soredia but absent in the latter. We reexamined the relationship between these two species using phenotypic characters and molecular sequence data (ITS, GPD, and MCM7 sequences) to address species boundaries in this group. In addition to morphological investigations, we used Bayesian clustering to identify potential genetic groups in the H. hypotrypa/H. flavida clade. We also used a variety of empirical, sequence-based species delimitation approaches, including: the “Automatic Barcode Gap Discovery” (ABGD), the Poisson tree process model (PTP), the General Mixed Yule Coalescent (GMYC), and the multispecies coalescent approach BPP. Different species delimitation scenarios were compared using Bayes factors delimitation analysis, in addition to comparisons of pairwise genetic distances, pairwise fixation indices (FST). The majority of the species delimitation analyses implemented in this study failed to support H. hypotrypa and H. flavida as distinct lineages, as did the Bayesian clustering analysis. However, strong support for the evolutionary independence of H. hypotrypa and H. flavida was inferred using BPP and further supported by Bayes factor delimitation. In spite of rigorous morphological comparisons and a wide range of sequence-based approaches to delimit species, species boundaries in the H. hypotrypa group remain uncertain. This study reveals the potential limitations of relying on distinct reproductive strategies as diagnostic taxonomic characters for Hypogymnia and also the challenges of using popular sequence-based species delimitation methods in groups with recent diversification histories.
作者:
Wei, Xinli
开放时间:
2016-12-02
创建时间:
2016-12-02
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4120个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

LFW

人脸数据集;LFW数据集共有13233张人脸图像,每张图像均给出对应的人名,共有5749人,且绝大部分人仅有一张图片。每张图片的尺寸为250X250,绝大部分为彩色图像,但也存在少许黑白人脸图片。 URL: http://vis-www.cs.umass.edu/lfw/index.html#download

AI_Studio2024-03-04 收录

中国气象数据

本数据集包含了中国2023年1月至11月的气象数据,包括日照时间、降雨量、温度、风速等关键数据。通过这些数据,可以深入了解气象现象对不同地区的影响,并通过可视化工具揭示中国的气温分布、降水情况、风速趋势等。

github2024-05-31 收录

中国交通事故深度调查(CIDAS)数据集

交通事故深度调查数据通过采用科学系统方法现场调查中国道路上实际发生交通事故相关的道路环境、道路交通行为、车辆损坏、人员损伤信息,以探究碰撞事故中车损和人伤机理。目前已积累深度调查事故10000余例,单个案例信息包含人、车 、路和环境多维信息组成的3000多个字段。该数据集可作为深入分析中国道路交通事故工况特征,探索事故预防和损伤防护措施的关键数据源,为制定汽车安全法规和标准、完善汽车测评试验规程、

北方大数据交易中心2024-07-05 收录

YOLO Drone Detection Dataset

为了促进无人机检测模型的开发和评估,我们引入了一个新颖且全面的数据集,专门为训练和测试无人机检测算法而设计。该数据集来源于Kaggle上的公开数据集,包含在各种环境和摄像机视角下捕获的多样化的带注释图像。数据集包括无人机实例以及其他常见对象,以实现强大的检测和分类。

github2024-05-31 收录

中国行政区划数据

本项目为中国行政区划数据,包括省级、地级、县级、乡级和村级五级行政区划数据。数据来源于国家统计局,存储格式为sqlite3 db文件,支持直接使用数据库连接工具打开。

github2024-06-17 收录