Kamei Claire Lessa Alvim, Severing Edouard I, Dechesne Annemarie, Furrer Heleen, Dolstra Oene, Trindade Luisa M
Wageningen UR Plant Breeding, Wageningen University and Research Centre, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands.
Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829 Cologne, Germany.
Mol Breed. 2016;36:9. doi: 10.1007/s11032-015-0430-2. Epub 2016 Jan 12.
Many important crops have received little attention by the scientific community, either because they are not considered economically important or due to their large and complex genomes. De novo transcriptome assembly, using next-generation sequencing data, is an attractive option for the study of these orphan crops. In spite of the large amount of sequencing data that can be generated, there is currently a lack of tools which can effectively help molecular breeders and biologists to mine this type of information. Our goal was to develop a tool that enables molecular breeders, without extensive bioinformatics knowledge, to efficiently study de novo transcriptome data from any orphan crop (http://www.bioinformatics.nl/denovobrowser/db/species/index). The Orphan Crops Browser has been designed to facilitate the following tasks (1) search and identification of candidate transcripts based on phylogenetic relationships between orthologous sequence data from a set of related species and (2) design specific and degenerate primers for expression studies in the orphan crop of interest. To demonstrate the usability and reliability of the browser, it was used to identify the putative orthologues of 17 known lignin biosynthetic genes from maize and sugarcane in the orphan crop . Expression studies in miscanthus stem internode tissue differing in maturation were subsequently carried out, to follow the expression of these genes during lignification. Our results showed a negative correlation between lignin content and gene expression. The present data are in agreement with recent findings in maize and other crops, and it is further discussed in this paper.
许多重要作物很少受到科学界的关注,要么是因为它们被认为在经济上不重要,要么是由于其基因组庞大且复杂。利用新一代测序数据进行从头转录组组装,是研究这些小众作物的一个有吸引力的选择。尽管可以生成大量的测序数据,但目前缺乏能够有效帮助分子育种家和生物学家挖掘这类信息的工具。我们的目标是开发一种工具,使没有广泛生物信息学知识的分子育种家能够高效地研究来自任何小众作物的从头转录组数据(http://www.bioinformatics.nl/denovobrowser/db/species/index)。小众作物浏览器旨在促进以下任务:(1)根据一组相关物种的直系同源序列数据之间的系统发育关系搜索和识别候选转录本;(2)设计特异性和简并引物,用于在感兴趣的小众作物中进行表达研究。为了证明该浏览器的可用性和可靠性,我们用它在小众作物中鉴定了来自玉米和甘蔗的17个已知木质素生物合成基因的推定直系同源物。随后,我们在成熟度不同的芒草茎节间组织中进行了表达研究,以追踪这些基因在木质化过程中的表达情况。我们的结果表明木质素含量与基因表达呈负相关。目前的数据与玉米和其他作物的最新研究结果一致,本文将进一步讨论这一点。