Malik Waqas, Ashraf Javaria, Iqbal Muhammad Zaffar, Khan Asif Ali, Qayyum Abdul, Ali Abid Muhammad, Noor Etrat, Ahmad Muhammad Qadir, Abbasi Ghulam Hasan
Department of Plant Breeding and Genetics, Faculty of Agricultural Sciences and Technology, Bahauddin Zakariya University, Multan, Pakistan.
Agricultural Biotechnology Research Institute, Ayub Agriculture Research Institute, Faisalabad, Pakistan.
ScientificWorldJournal. 2014;2014:607091. doi: 10.1155/2014/607091. Epub 2014 Oct 23.
Narrow genetic base and complex allotetraploid genome of cotton (Gossypium hirsutum L.) is stimulating efforts to avail required polymorphism for marker based breeding. The availability of draft genome sequence of G. raimondii and G. arboreum and next generation sequencing (NGS) technologies facilitated the development of high-throughput marker technologies in cotton. The concepts of genetic diversity, QTL mapping, and marker assisted selection (MAS) are evolving into more efficient concepts of linkage disequilibrium, association mapping, and genomic selection, respectively. The objective of the current review is to analyze the pace of evolution in the molecular marker technologies in cotton during the last ten years into the following four areas: (i) comparative analysis of low- and high-throughput marker technologies available in cotton, (ii) genetic diversity in the available wild and improved gene pools of cotton, (iii) identification of the genomic regions within cotton genome underlying economic traits, and (iv) marker based selection methodologies. Moreover, the applications of marker technologies to enhance the breeding efficiency in cotton are also summarized. Aforementioned genomic technologies and the integration of several other omics resources are expected to enhance the cotton productivity and meet the global fiber quantity and quality demands.
棉花(陆地棉)狭窄的遗传基础和复杂的异源四倍体基因组,促使人们努力获取基于标记育种所需的多态性。雷蒙德氏棉和亚洲棉基因组草图序列的可得性以及新一代测序(NGS)技术,推动了棉花高通量标记技术的发展。遗传多样性、QTL定位和标记辅助选择(MAS)的概念,正分别演变成更高效的连锁不平衡、关联作图和基因组选择概念。本综述的目的是分析过去十年棉花分子标记技术在以下四个领域的发展步伐:(i)棉花中可用的低通量和高通量标记技术的比较分析;(ii)棉花现有野生和改良基因库中的遗传多样性;(iii)棉花基因组中经济性状相关基因组区域的鉴定;(iv)基于标记的选择方法。此外,还总结了标记技术在提高棉花育种效率方面的应用。上述基因组技术以及其他几种组学资源的整合,有望提高棉花产量,满足全球对纤维数量和质量的需求。