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组学资源在谷子改良中的潜力。

The potentialities of omics resources for millet improvement.

机构信息

Lovely Professional University, Jalandhar - Delhi G.T. Road, Phagwara, Punjab, 144411, India.

Department of Agricultural, Guru Nanak Dev University, Amritsar, Punjab, 143005, India.

出版信息

Funct Integr Genomics. 2023 Jun 24;23(3):210. doi: 10.1007/s10142-023-01149-2.

Abstract

Millets are nutrient-rich (nutri-rich) cereals with climate resilience attributes. However, its full productive potential is not realized due to the lack of a focused yield improvement approach, as evidenced by the available literature. Also, the lack of well-characterized genomic resources significantly limits millet improvement. But the recent availability of genomic data and advancement in omics tools has shown its enormous potential to enhance the efficiency and precision faced by conventional breeding in millet improvement. The development of high throughput genotyping platforms based on next-generation sequencing (NGS) has provided a low-cost method for genomic information, specifically for neglected nutri-rich cereals with the availability of a limited number of reference genome sequences. NGS has created new avenues for millet biotechnological interventions such as mutation-based study, GWAS, GS, and other omics technologies. The simultaneous discovery of high-throughput markers and multiplexed genotyping platform has aggressively aided marker-assisted breeding for millet improvement. Therefore, omics technology offers excellent opportunities to explore and combine useful variations for targeted traits that could impart high nutritional value to high-yielding cultivars under changing climatic conditions. In millet improvement, an in-depth account of NGS, integrating genomics data with different biotechnology tools, is reviewed in this context.

摘要

小米是营养丰富的(nutri-rich)谷物,具有气候适应属性。然而,由于缺乏集中的产量提高方法,其全部生产潜力尚未实现,这一点可以从现有文献中得到证明。此外,缺乏特征明确的基因组资源也极大地限制了小米的改良。但是,基因组数据的最新可用性和组学工具的进步表明,它在提高传统小米改良中的效率和精准度方面具有巨大的潜力。基于下一代测序(NGS)的高通量基因分型平台的发展为基因组信息提供了一种低成本的方法,特别是对于那些具有有限参考基因组序列的被忽视的营养丰富的谷物。NGS 为小米生物技术干预创造了新途径,例如基于突变的研究、GWAS、GS 及其他组学技术。高通量标记和多重基因分型平台的同时发现,极大地促进了小米的标记辅助育种改良。因此,组学技术为探索和结合有用的变异提供了极好的机会,这些变异可以在不断变化的气候条件下为高产品种赋予高营养价值。在小米改良中,本文深入探讨了 NGS,将基因组学数据与不同的生物技术工具相结合。

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