five

Data from: A resurrection experiment finds evidence of both reduced genetic diversity and potential adaptive evolution in the agricultural weed Ipomoea purpurea|农业杂草数据集|遗传进化数据集

收藏
DataONE2016-06-28 更新2024-06-26 收录
农业杂草
遗传进化
下载链接:
https://search.dataone.org/view/null
下载链接
链接失效反馈
资源简介:
Despite the negative economic and ecological impact of weeds, relatively little is known about the evolutionary mechanisms that influence their persistence in agricultural fields. Here, we use a resurrection approach to examine the potential for genotypic and phenotypic evolution in Ipomoea purpurea, an agricultural weed that is resistant to glyphosate, the most widely used herbicide in current-day agriculture. We found striking reductions in allelic diversity between cohorts sampled nine years apart (2003 vs. 2012), suggesting that populations of this species sampled from agricultural fields have experienced genetic bottleneck events that have led to lower neutral genetic diversity. Heterozygosity excess tests indicate that these bottlenecks may have occurred prior to 2003. A greenhouse assay of individuals sampled from the field as seed found that populations of this species, on average, exhibited modest increases in herbicide resistance over time. However, populations differed significantly between sampling years for resistance: some populations maintained high resistance between the sampling years whereas others exhibited increased or decreased resistance. Our results show that populations of this noxious weed, capable of adapting to strong selection imparted by herbicide application, may lose genetic variation as a result of this or other environmental factors. We probably uncovered only modest increases in resistance on average between sampling cohorts due to a strong and previously identified fitness cost of resistance in this species, along with the potential that nonresistant migrants germinate from the seed bank.
创建时间:
2016-06-28
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  4098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

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。

github 收录

GME Data

关于2021年GameStop股票活动的数据,包括每日合并的GME短期成交量数据、每日失败交付数据、可借股数、期权链数据以及不同时间框架的开盘/最高/最低/收盘/成交量条形图。

github 收录

Tropicos

Tropicos是一个全球植物名称数据库,包含超过130万种植物的名称、分类信息、分布数据、图像和参考文献。该数据库由密苏里植物园维护,旨在为植物学家、生态学家和相关领域的研究人员提供全面的植物信息。

www.tropicos.org 收录

UniMed

UniMed是一个大规模、开源的多模态医学数据集,包含超过530万张图像-文本对,涵盖六种不同的医学成像模态:X射线、CT、MRI、超声、病理学和眼底。该数据集通过利用大型语言模型(LLMs)将特定模态的分类数据集转换为图像-文本格式,并结合现有的医学领域的图像-文本数据,以促进可扩展的视觉语言模型(VLM)预训练。

github 收录

AQA-7

AQA-7 是一个用于动作质量评估(AQA)的统一基准数据集,旨在通过整合多个领域的数据集来标准化评估方法。该数据集包含视频、骨骼数据和多模态输入,涵盖了体育分析、技能评估和医疗护理等多个应用领域。数据集的创建过程通过系统分析现有文献和实验协议,确保了评估的准确性和计算效率。AQA-7 的应用领域广泛,旨在解决动作质量评估中的偏差问题,提供客观的自动化评估,特别是在体育评分、技能评估和康复训练中具有重要意义。

arXiv 收录