Innovative computational tools provide new insights into the polyploid wheat genome

IF 4.6 4区 农林科学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY aBIOTECH Pub Date : 2024-02-07 DOI:10.1007/s42994-023-00131-7
Yongming Chen, Wenxi Wang, Zhengzhao Yang, Huiru Peng, Zhongfu Ni, Qixin Sun, Weilong Guo
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Abstract

Bread wheat (Triticum aestivum) is an important crop and serves as a significant source of protein and calories for humans, worldwide. Nevertheless, its large and allopolyploid genome poses constraints on genetic improvement. The complex reticulate evolutionary history and the intricacy of genomic resources make the deciphering of the functional genome considerably more challenging. Recently, we have developed a comprehensive list of versatile computational tools with the integration of statistical models for dissecting the polyploid wheat genome. Here, we summarize the methodological innovations and applications of these tools and databases. A series of step-by-step examples illustrates how these tools can be utilized for dissecting wheat germplasm resources and unveiling functional genes associated with important agronomic traits. Furthermore, we outline future perspectives on new advanced tools and databases, taking into consideration the unique features of bread wheat, to accelerate genomic-assisted wheat breeding.

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创新计算工具为多倍体小麦基因组提供了新见解
面包小麦(Triticum aestivum)是一种重要的农作物,是全球人类蛋白质和热量的重要来源。然而,其庞大的全多倍体基因组对遗传改良造成了限制。复杂的网状进化历史和错综复杂的基因组资源使得破译功能基因组的难度大大增加。最近,我们开发了一系列多功能计算工具,并整合了统计模型,用于剖析多倍体小麦基因组。在此,我们总结了这些工具和数据库在方法上的创新和应用。一系列循序渐进的例子说明了如何利用这些工具剖析小麦种质资源并揭示与重要农艺性状相关的功能基因。此外,考虑到面包小麦的独特性,我们概述了新的先进工具和数据库的未来前景,以加速基因组辅助小麦育种。
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CiteScore
7.70
自引率
2.80%
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