通过先进方法利用相关基因和 QTLs 提高水稻谷物营养性状。

Q1 Multidisciplinary
SpringerPlus Pub Date : 2016-12-09 eCollection Date: 2016-01-01 DOI:10.1186/s40064-016-3744-6
Anumalla Mahender, Annamalai Anandan, Sharat Kumar Pradhan, Elssa Pandit
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引用次数: 0

摘要

背景:水稻育种计划需要重点开发营养丰富的水稻,以提高附加值并帮助减少营养不良。与矿物质和维生素缺乏有关的问题在大多数人口中都很常见,发展中国家的主食是大米,因此这些问题更为特殊:结果:最近人们已经知道基因和 QTLs 与稻米的营养质量有关。通过全面的文献调查和公共领域数据库,我们对谷物蛋白质和氨基酸含量、维生素和矿物质、血糖指数值、酚类和黄酮类化合物、植酸、锌和铁含量等营养方面以及与这些性状相关的 QTLs 进行了深入研究。此外,还讨论了通过转基因和先进基因组方法取得的成果。结论:结论:相容的 QTLs/基因可以组合在一起,设计出具有多种谷物品质性状的理想基因型。本综述将有助于将分子标记和转基因辅助育种方法与传统育种方法相结合,培育营养丰富的水稻栽培品种。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rice grain nutritional traits and their enhancement using relevant genes and QTLs through advanced approaches.

Background: Rice breeding program needs to focus on development of nutrient dense rice for value addition and helping in reducing malnutrition. Mineral and vitamin deficiency related problems are common in the majority of the population and more specific to developing countries as their staple food is rice.

Results: Genes and QTLs are recently known for the nutritional quality of rice. By comprehensive literature survey and public domain database, we provided a critical review on nutritional aspects like grain protein and amino acid content, vitamins and minerals, glycemic index value, phenolic and flavonoid compounds, phytic acid, zinc and iron content along with QTLs linked to these traits. In addition, achievements through transgenic and advanced genomic approaches have been discussed. The information available on genes and/or QTLs involved in enhancement of micronutrient element and amino acids are summarized with graphical representation.

Conclusion: Compatible QTLs/genes may be combined together to design a desirable genotype with superior in multiple grain quality traits. The comprehensive review will be helpful to develop nutrient dense rice cultivars by integrating molecular markers and transgenic assisted breeding approaches with classical breeding.

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来源期刊
SpringerPlus
SpringerPlus MULTIDISCIPLINARY SCIENCES-
CiteScore
1.76
自引率
0.00%
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0
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