一种改进的MALDI-TOF质谱方法和一种鉴定小麦过表达Bx7谷蛋白亚基的新型DNA标记

IF 2.1 3区 生物学 Q3 GENETICS & HEREDITY
Hereditas Pub Date : 2015-01-14 DOI:10.1111/hrd2.00069
Ke Wang, Shahidul Islam, Junhong Ma, Masood Anwar, Jing Chen, Yueming Yan, Rudi Appels, Wujun Ma
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引用次数: 4

摘要

小麦面包的品质主要由籽粒中的谷蛋白决定,谷蛋白存在于广泛的可变等位基因中,对加工属性有不同的影响。最近发现的一个等位基因Bx7过表达(Bx7oe)对小麦面团强度的影响显著高于正常表达的Bx7等位基因。SDS-PAGE和常规反相高效液相色谱法无法分离这两个等位基因。在目前的研究中,我们建立了一个广泛优化的基于MALDI-TOF的程序和一个改进的基于DNA的标记,用于有效区分Bx7oe和正常Bx7等位基因。结果表明,MALDI-TOF方法具有成本效益、高通量和可靠性,而改进的PCR标记仅扩增Bx7oe等位基因,与先前开发的共显性标记相比具有明显优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An improved MALDI-TOF mass spectrometry procedure and a novel DNA marker for identifying over-expressed Bx7 glutenin protein subunit in wheat

An improved MALDI-TOF mass spectrometry procedure and a novel DNA marker for identifying over-expressed Bx7 glutenin protein subunit in wheat

Wheat bread-making quality is mainly determined by glutenin proteins in the grain, which exist in a wide range of variable alleles with differential influence on processing attributes. A recently identified allele, Bx7 over-expression (Bx7oe), has been showing highly significant positive effects on wheat dough strength over the normally expressed Bx7 allele. SDS-PAGE and normal RP-HPLC procedures failed to separate the two alleles. In the current study, an extensively optimised MALDI-TOF based procedure and a refined DNA based marker for efficiently differentiating Bx7oe from normal Bx7 allele were established. Results indicated that the MALDI-TOF procedure is cost effective, high throughput, and proven reliable, while the refined PCR marker only amplifies Bx7oe allele, a clear advantage over the previously developed codominant marker.

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来源期刊
Hereditas
Hereditas 生物-遗传学
CiteScore
4.30
自引率
3.70%
发文量
46
审稿时长
6 weeks
期刊介绍: For almost a century, Hereditas has published original cutting-edge research and reviews. As the Official journal of the Mendelian Society of Lund, the journal welcomes research from across all areas of genetics and genomics. Topics of interest include human and medical genetics, animal and plant genetics, microbial genetics, agriculture and bioinformatics.
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