Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
J Proteomics. 2012 Oct 22;75(18):5793-6. doi: 10.1016/j.jprot.2012.08.003. Epub 2012 Aug 10.
Mangifera indica (Mango) is an important fruit crop in tropical countries with India being the leading producer in the world. Substantial research efforts are being devoted to produce fruit that have desirable characteristics including those that pertain to taste, hardiness and resistance to pests. Characterization of the genome and proteome of mango would help in the improvement of cultivars. As the mango genome has not yet been sequenced, we employed a mass spectrometry-based approach followed by database searches of mango-derived ESTs and proteins along with proteins from six other closely related plant species to characterize its proteome. In addition to this, de novo sequencing followed by homology-based protein identification was also carried out. The LC-MS/MS analysis of the mango leaf proteome was performed using an accurate mass quadrupole time-of-flight mass spectrometer. This integrative approach enabled the identification of 1001 peptides that matched to 538 proteins. To our knowledge, this study is the first high-throughput analysis of mango leaf proteome and could pave the way for further genomic, transcriptomic and proteomic studies.
芒果（Mangifera indica）是热带国家的重要水果作物，印度是世界上最大的生产国。人们投入了大量的研究精力来生产具有理想特性的果实，包括与口感、耐寒性和抗虫害有关的特性。芒果基因组和蛋白质组的特征描述有助于改良品种。由于芒果基因组尚未测序，我们采用了一种基于质谱的方法，然后对芒果衍生的 EST 和蛋白质以及来自其他六个密切相关的植物物种的蛋白质进行数据库搜索，以对其蛋白质组进行特征描述。除此之外，我们还进行了从头测序和基于同源性的蛋白质鉴定。使用精确质量四极杆飞行时间质谱仪对芒果叶蛋白质组进行了 LC-MS/MS 分析。这种综合方法能够识别 1001 个与 538 个蛋白质匹配的肽段。据我们所知，这项研究是对芒果叶蛋白质组的首次高通量分析，可以为进一步的基因组、转录组和蛋白质组研究铺平道路。
