Li Man-Wah, Qi Xinpeng, Ni Meng, Lam Hon-Ming
Center for Soybean Research, State Key Laboratory of Agrobiotechnology and School of Life Sciences, the Chinese University of Hong Kong, Shatin, N.T., Hong Kong.
Int J Mol Sci. 2013 May 29;14(6):11444-83. doi: 10.3390/ijms140611444.
Abiotic and biotic stresses lead to massive reprogramming of different life processes and are the major limiting factors hampering crop productivity. Omics-based research platforms allow for a holistic and comprehensive survey on crop stress responses and hence may bring forth better crop improvement strategies. Since high-throughput approaches generate considerable amounts of data, bioinformatics tools will play an essential role in storing, retrieving, sharing, processing, and analyzing them. Genomic and functional genomic studies in crops still lag far behind similar studies in humans and other animals. In this review, we summarize some useful genomics and bioinformatics resources available to crop scientists. In addition, we also discuss the major challenges and advancements in the "-omics" studies, with an emphasis on their possible impacts on crop stress research and crop improvement.
非生物和生物胁迫会导致不同生命过程的大规模重新编程,是阻碍作物生产力的主要限制因素。基于组学的研究平台能够对作物胁迫反应进行全面且综合的调查,因此可能带来更好的作物改良策略。由于高通量方法会产生大量数据,生物信息学工具在存储、检索、共享、处理和分析这些数据方面将发挥至关重要的作用。作物的基因组学和功能基因组学研究仍远远落后于人类和其他动物的类似研究。在本综述中,我们总结了一些可供作物科学家使用的有用的基因组学和生物信息学资源。此外,我们还讨论了“组学”研究中的主要挑战和进展,重点是它们对作物胁迫研究和作物改良可能产生的影响。