Molecular characterization of eag: a gene affecting potassium channels in Drosophila melanogaster.

Author:

Drysdale R,Warmke J,Kreber R,Ganetzky B

Abstract

Abstract Genes encoding proteins involved in the function of the nervous system can be identified via mutations causing behavioral abnormalities. An example is ether à go-go (eag) in Drosophila melanogaster, which was identified originally as an X-linked mutation that displayed ether-induced leg-shaking behavior. Electrophysiological and genetic evidence suggests that the product of the eag locus is intimately involved in the normal functioning of one or more types of voltage-gated potassium channels. To initiate a molecular analysis of eag we first generated a collection of deletions to pinpoint its cytological location. On the basis of this location, we identified an existing inversion, In(1)sc29, with one breakpoint at the eag locus and the other in the scute (sc) complex. A genomic library was prepared from In(1)sc29 and screened with a genomic DNA fragment that spanned the sc breakpoint to isolate DNA from the eag region. Beginning from this starting point over 85 kb of DNA were isolated by chromosome walking. Three additional eag alleles, including two dysgenesis-induced insertion mutations and a gamma-ray-induced insertional translocation, were located on the molecular map of the eag locus by Southern blot analysis. The molecular defects associated with these alleles encompass a total of 27 kb within the chromosome walk. A 10-kb transcript derived from this region, which is expressed most abundantly in heads, was identified on Northern blots. Two different eag mutations separated by over 20 kb interrupt the same transcript identifying it as the likely eag message. cDNAs representing a portion of this transcript have been isolated.(ABSTRACT TRUNCATED AT 250 WORDS)

Publisher

Oxford University Press (OUP)

Subject

Genetics

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3