US-Mexico planning visit and workshop to assess the genomic basis of local adaptation in maize

美国-墨西哥计划访问并举办研讨会，以评估玉米当地适应的基因组基础

基本信息

批准号：
1404974
负责人：
Matthew Hufford
金额：
$ 3.47万
依托单位：
Iowa State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-01 至 2016-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1404974&HistoricalAwards=false
关键词：
US Mexico planning visit workshop

项目摘要

This project brings together an international team of U.S. and Mexican researchers to investigate the prevalence of local adaption of maize to high elevations. Collaborators have expertise in evolutionary genetics, theoretical population genetics, quantitative trait mapping, and Mexican agro-ecosystems. U.S. students and researchers will travel to Mexico to join an international collaborative team and gain experience in phenotypic data collection and analysis as well as seed genetic mapping. The expected outcomes of the project include both mapping seed populations and analytical software. Maize (Zea mays ssp. mays) was domesticated approximately 9000 BP in the lowlands of southwest Mexico from a wild grass known as teosinte (Zea mays ssp. parviglumis). Subsequent to domestication maize was brought to multiple, independent highland regions. These migration events required adaptation to drastically different environmental conditions. In the long-term, collaborators will assess the genomic basis of adaptation to these separate highland regions through population genetic and quantitative trait mapping approaches. These data will provide insight regarding the process of repeated evolution and will potentially identify loci relevant to the tolerance of temperature extremes, an important consideration in the face of climate change.

该项目汇集了一支国际美国和墨西哥研究人员的团队，以调查玉米对高海拔地区的局部适应率。合作者在进化遗传学，理论人群遗传学，定量性状图和墨西哥农业生态系统方面具有专业知识。美国的学生和研究人员将前往墨西哥加入一个国际合作团队，并获得表型数据收集和分析以及种子遗传学映射的经验。该项目的预期结果包括映射种子种群和分析软件。玉米（Zea Maysssp。Mays）在墨西哥西南部的低地被称为Teosinte（Zea Maysssp。Parviglumis），在墨西哥西南部的低地驯化了约9000桶。在驯化玉米之后，被带到了多个独立的高地地区。这些迁移事件需要适应截然不同的环境条件。从长远来看，合作者将通过种群遗传和定量性状映射方法来评估适应这些独立高地地区的基因组基础。这些数据将提供有关重复演化过程的见解，并有可能识别与极端温度的耐受性有关的基因座，这是面对气候变化的重要考虑因素。