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Selection in Mutant Populations

机译:突变种群的选择

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The efficiency of mutation techniques in the improvement of vegetatively propagated crops has been increased by the availability of in vitro systems which miniaturise the target tissues, facilitating mutagenic treatments. Efficiency has also been improved by the development of techniques for the early detection and rejection of gross aberrants. High-frequency polyploids, gross aneuploids and morphological variants can be detected by flow cytometry and image analysis. Cryptic developmental variants can also be detected and eliminated early, using image analysis in potatoes, and this may also apply to other crops. The ability to detect and discard useless variants at an early stage facilitates early selection of elite lines which can be planted in large blocks avoiding the current bottleneck in field evaluation. Traditionally, in successive trials, line numbers were reduced and block sizes were increased. The evaluation of lines as single plants or in small blocks prevents quantitative measurement of environmentally influenced characters. While the above are significant advances, there remains the problem of how to select among populations of elites, that is mutant lines showing the desired character improvement. This is a problem confronting both the mutation breeder and the genetic engineer, where spontaneous background mutation ("somaclonal variation" or multiple mutations) may go undetected. Both are seeking improved lines that are "isogenic" with the parent mutagenised or transformed genotype, and both want to avoid the risk of cryptic defects in the background of the lines selected for release which might, for example, result in crop failure or human health risks. Consumers of genetically modified crops need reassurance that the transformed variety differs only in the claimed character and has not undergone other changes which may adversely affect their health. Here a practical strategy will be discussed which addresses the problems of early detection of useless mutants, the selection of improved lines for "near-isogenicity" with the parent, and screening for background metabolic changes.
机译:突变技术在改善无性繁殖作物方面的效率由于可将目标组织小型化,促进诱变处理的体外系统的可用性而提高。通过开发用于早期发现和剔除异常的技术也提高了效率。高频多倍体,总非整倍体和形态变异可以通过流式细胞仪和图像分析来检测。利用马铃薯中的图像分析,还可以及早发现并消除隐匿性发育变异,这也可能适用于其他农作物。尽早发现并丢弃无用变异的能力有助于尽早选择可以大量种植的优良品系,从而避免了当前田间评估的瓶颈。传统上,在连续的试验中,减少行数并增加块大小。将品系评估为单株或小块,可防止对受环境影响的性状进行定量测量。尽管上述是重要的进步,但是仍然存在如何在精英人群中进行选择的问题,即显示出期望的字符改善的突变系。这是突变育种者和遗传工程师都面临的一个问题,自发背景突变(“体克隆变异”或多个突变)可能未被发现。两者都在寻求与亲本诱变或转化的基因型“同基因”的改良品系,并且都希望避免在选择释放的品系的背景中存在隐秘缺陷的风险,这可能导致例如作物歉收或人类健康风险。转基因作物的消费者需要放心,转基因品种仅在要求保护的性状上有所不同,并且未经历可能对健康造成不利影响的其他变化。在这里,将讨论一种实用的策略,该策略解决了早期检测无用突变体,选择与亲本“近等基因性”的改良品系以及筛选背景代谢变化的问题。

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