关于举办“2024年西北农林生命青年学者论坛（五）”的通知

.gpCmsArticle00 a{color: rgb(30, 80, 162); text-decoration: underline }.gpCmsArticle00 table td img{border-bottom-style: none; border-right-style: none; margin: 5px; border-top-style: none; border-left-style: none }.gpCmsArticle00 table td{border: 1px solid rgb(0, 0, 0); text-indent: 0px; margin: 0px; font-size: 20px }.gpCmsArticle00 table{border-collapse: collapse; border: 1px solid rgb(0, 0, 0) }.gpCmsArticle00 a:hover{color: rgb(186, 38, 54) }.gpCmsArticle00 table th{text-indent: 0px; margin: 0px; font-size: 1px } p{line-height: 1.8; text-indent: 2em; font-size: 17px } 报告人：姜立波 报告题目：A computational approach for mapping social QTLs 报告时间：2024年4月12早上9：00 报告地点：北校理科楼D201会议室 报告人简介： 姜立波，山东理工大学生命与医药学院，教授，博士生导师。主要从事统计遗传学方面的研究。主持山东省泰山学者项目，山东省自然科学基金优秀青年基金项目，国家自然科学基金面上项目等省部级项目5项。获教育部高等学校科学研究优秀成果奖二等奖1项、北京市科学技术三等奖1项、梁希青年论文二等奖2项。在Nature Communications, Trends in Genetics，New Phytologist 和Plant Journal等国际著名学术期刊发表SCI论文50余篇，授权国家发明专利3项。 报告内容： Genes have been thought to affect community ecology and evolution, but their identification at the whole-genome level is challenging. Here, we develop a conceptual framework for the genome-wide mapping of quantitative trait loci (QTLs) that govern interspecific competition and cooperation. This framework integrates the community ecology theory into systems mapping, a statistical model for mapping complex traits as a dynamic system. It can characterize not only how QTLs of one species affect its own phenotype directly, but also how QTLs from this species affect the phenotype of its interacting species indirectly and how QTLs from different species interact epistatically to shape community behavior. We validated the utility of the new mapping framework experimentally by culturing and comparing two bacterial species, Escherichia coli and Staphylococcus aureus, in socialized and socially isolated environments, identifying several QTLs from each species that may act as key drivers of microbial community structure and function. 欢迎广大师生积极参加！ 生命科学学院 2024年4月10日