• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种用于根据四分体数据构建连锁图谱的干涉数学模型。

A mathematical model of interference for use in constructing linkage maps from tetrad data.

作者信息

King J S, Mortimer R K

机构信息

Graduate Group in Biophysics, University of California, Berkeley 94720.

出版信息

Genetics. 1991 Oct;129(2):597-602. doi: 10.1093/genetics/129.2.597.

DOI:10.1093/genetics/129.2.597
PMID:1743495
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1204647/
Abstract

In determining genetic map distances it is necessary to infer crossover frequencies from the ratios of recombinant and parental progeny. To do this accurately, in intervals where multiple crossovers may occur, a mathematical model of chiasma interference must be assumed when mapping in organisms displaying such interference. In Saccharomyces cerevisiae the model most frequently used is that of R.W. Barratt. An alternative to this model is presented. This new model is implemented using a microcomputer and standard numerical methods. It is demonstrated to fit ranked tetrad data from Saccharomyces more closely than the Barratt model and thus generates more accurate estimates of map distances when used with two-point data. A computer program implementing the model has been developed for use in calculating map distances from tetrad data in Saccharomyces.

摘要

在确定遗传图谱距离时,有必要从重组子代和亲本子代的比例中推断交换频率。为了准确做到这一点,在可能发生多次交换的区间内,当在表现出这种干扰的生物体中进行图谱绘制时,必须假定一个交叉干扰的数学模型。在酿酒酵母中,最常用的模型是R.W.巴拉特模型。本文提出了该模型的一种替代方案。这个新模型是使用微型计算机和标准数值方法实现的。结果表明,与巴拉特模型相比,它能更紧密地拟合酿酒酵母的排序四分体数据,因此在与两点数据一起使用时,能产生更准确的图谱距离估计值。已经开发了一个实现该模型的计算机程序,用于根据酿酒酵母的四分体数据计算图谱距离。

相似文献

1
A mathematical model of interference for use in constructing linkage maps from tetrad data.一种用于根据四分体数据构建连锁图谱的干涉数学模型。
Genetics. 1991 Oct;129(2):597-602. doi: 10.1093/genetics/129.2.597.
2
A polymerization model of chiasma interference and corresponding computer simulation.交叉干涉的聚合模型及相应的计算机模拟
Genetics. 1990 Dec;126(4):1127-38. doi: 10.1093/genetics/126.4.1127.
3
Multipoint mapping under genetic interference.遗传干扰下的多点定位
Hum Hered. 1993 Mar-Apr;43(2):86-97. doi: 10.1159/000154123.
4
A test of a counting model for chiasma interference.交叉干涉计数模型的一项测试。
Genetics. 1995 Mar;139(3):1201-9. doi: 10.1093/genetics/139.3.1201.
5
A corrected Haldane's map function to calculate genetic distances from recombination data.一种修正的霍尔丹图谱函数,用于根据重组数据计算遗传距离。
Genetica. 2007 Mar;129(3):333-8. doi: 10.1007/s10709-006-0008-3. Epub 2006 Aug 10.
6
Gene conversion and crossing over along the 405-kb left arm of Saccharomyces cerevisiae chromosome VII.酿酒酵母七号染色体左臂405千碱基对区域的基因转换与交叉互换
Genetics. 2004 Sep;168(1):49-63. doi: 10.1534/genetics.104.027961.
7
Modulating Crossover Frequency and Interference for Obligate Crossovers in Meiosis.调节减数分裂中必需交叉的交叉频率和干扰。
G3 (Bethesda). 2017 May 5;7(5):1511-1524. doi: 10.1534/g3.117.040071.
8
Competing crossover pathways act during meiosis in Saccharomyces cerevisiae.在酿酒酵母减数分裂过程中存在相互竞争的交叉途径。
Genetics. 2004 Dec;168(4):1805-16. doi: 10.1534/genetics.104.032912.
9
A model of chiasma reduction of closely formed crossovers.紧密形成的交叉点的交叉减少模型。
J Theor Biol. 1995 Mar 7;173(1):93-8. doi: 10.1006/jtbi.1995.0046.
10
Frequencies of twelve ascus-types and arrangement of three genes from tetrad data.根据四分体数据得出的十二种子囊类型的频率及三个基因的排列
Genetics. 1977 Jul;86(3):535-52. doi: 10.1093/genetics/86.3.535.

引用本文的文献

1
InterferenceAnalyzer: tools for the analysis and simulation of multi-locus genetic data.干扰分析器:用于多位点遗传数据的分析与模拟的工具。
BMC Bioinformatics. 2005 Dec 12;6:297. doi: 10.1186/1471-2105-6-297.
2
Does crossover interference count in Saccharomyces cerevisiae?酿酒酵母中存在交叉干涉现象吗?
Genetics. 2004 Sep;168(1):35-48. doi: 10.1534/genetics.104.027789.
3
Do-it-yourself statistics: A computer-assisted likelihood approach to analysis of data from genetic crosses.自助式统计学:一种用于分析遗传杂交数据的计算机辅助似然性方法。
Genetics. 2000 Jan;154(1):13-26. doi: 10.1093/genetics/154.1.13.
4
Genetic and physical maps of Saccharomyces cerevisiae.酿酒酵母的遗传图谱和物理图谱。
Nature. 1997 May 29;387(6632 Suppl):67-73.
5
Regulation of the urea active transporter gene (DUR3) in Saccharomyces cerevisiae.酿酒酵母中尿素活性转运蛋白基因(DUR3)的调控
J Bacteriol. 1993 Aug;175(15):4688-98. doi: 10.1128/jb.175.15.4688-4698.1993.
6
Nonhomologous synapsis and reduced crossing over in a heterozygous paracentric inversion in Saccharomyces cerevisiae.酿酒酵母中杂合臂内倒位的非同源联会和交叉减少
Genetics. 1994 Nov;138(3):633-47. doi: 10.1093/genetics/138.3.633.
7
Estimating interference and linkage map distance from two-factor tetrad data.根据双因子四分子数据估算干涉和连锁图距
Genetics. 1995 Mar;139(3):1449-54. doi: 10.1093/genetics/139.3.1449.

本文引用的文献

1
Maximum likelihood estimation of linkage and interference from tetrad data.四分子数据连锁与干扰的最大似然估计。
Genetics. 1979 May;92(1):231-45. doi: 10.1093/genetics/92.1.231.
2
Biochemical Mutants in the Smut Fungus Ustilago Maydis.玉米黑粉菌中的生化突变体
Genetics. 1949 Sep;34(5):607-26. doi: 10.1093/genetics/34.5.607.
3
Map construction in Neurospora crassa.粗糙脉孢菌中的图谱构建。
Adv Genet. 1954;6:1-93. doi: 10.1016/s0065-2660(08)60127-3.
4
Genetic map of Saccharomyces cerevisiae.酿酒酵母的遗传图谱。
Microbiol Rev. 1980 Dec;44(4):519-71. doi: 10.1128/mr.44.4.519-571.1980.
5
Empirical equation that can be used to determine genetic map distances from tetrad data.可用于根据四分子数据确定遗传图谱距离的经验方程。
Mol Cell Biol. 1983 Oct;3(10):1886-7. doi: 10.1128/mcb.3.10.1886-1887.1983.
6
Structural analysis of the dur loci in S. cerevisiae: two domains of a single multifunctional gene.酿酒酵母中dur基因座的结构分析:一个多功能基因的两个结构域。
Genetics. 1980 Mar;94(3):555-80. doi: 10.1093/genetics/94.3.555.
7
Genetic map of Saccharomyces cerevisiae, edition 10.酿酒酵母遗传图谱,第10版。
Yeast. 1989 Sep-Oct;5(5):321-403. doi: 10.1002/yea.320050503.
8
A polymerization model of chiasma interference and corresponding computer simulation.交叉干涉的聚合模型及相应的计算机模拟
Genetics. 1990 Dec;126(4):1127-38. doi: 10.1093/genetics/126.4.1127.