Tong Amy Hin Yan, Lesage Guillaume, Bader Gary D, Ding Huiming, Xu Hong, Xin Xiaofeng, Young James, Berriz Gabriel F, Brost Renee L, Chang Michael, Chen YiQun, Cheng Xin, Chua Gordon, Friesen Helena, Goldberg Debra S, Haynes Jennifer, Humphries Christine, He Grace, Hussein Shamiza, Ke Lizhu, Krogan Nevan, Li Zhijian, Levinson Joshua N, Lu Hong, Ménard Patrice, Munyana Christella, Parsons Ainslie B, Ryan Owen, Tonikian Raffi, Roberts Tania, Sdicu Anne-Marie, Shapiro Jesse, Sheikh Bilal, Suter Bernhard, Wong Sharyl L, Zhang Lan V, Zhu Hongwei, Burd Christopher G, Munro Sean, Sander Chris, Rine Jasper, Greenblatt Jack, Peter Matthias, Bretscher Anthony, Bell Graham, Roth Frederick P, Brown Grant W, Andrews Brenda, Bussey Howard, Boone Charles
Banting and Best Department of Medical Research, University of Toronto, Toronto, ON, Canada M5G 1L6.
Science. 2004 Feb 6;303(5659):808-13. doi: 10.1126/science.1091317.
A genetic interaction network containing approximately 1000 genes and approximately 4000 interactions was mapped by crossing mutations in 132 different query genes into a set of approximately 4700 viable gene yeast deletion mutants and scoring the double mutant progeny for fitness defects. Network connectivity was predictive of function because interactions often occurred among functionally related genes, and similar patterns of interactions tended to identify components of the same pathway. The genetic network exhibited dense local neighborhoods; therefore, the position of a gene on a partially mapped network is predictive of other genetic interactions. Because digenic interactions are common in yeast, similar networks may underlie the complex genetics associated with inherited phenotypes in other organisms.
通过将132个不同查询基因中的突变与大约4700个存活的基因酵母缺失突变体进行杂交,并对双突变后代的适应性缺陷进行评分,绘制了一个包含大约1000个基因和大约4000个相互作用的遗传相互作用网络。网络连通性可预测功能,因为相互作用通常发生在功能相关的基因之间,并且相似的相互作用模式倾向于识别同一途径的组成部分。遗传网络呈现出密集的局部邻域;因此,基因在部分绘制的网络上的位置可预测其他遗传相互作用。由于双基因相互作用在酵母中很常见,类似的网络可能是其他生物体中与遗传表型相关的复杂遗传学的基础。