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植物叶缘锯齿发育的研究进展 被引量:6

Development of Plant Leaf Margin:Advances in Research
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摘要 叶缘锯齿是叶片重要的形态特征之一,受到多种叶缘发育因子的调控。笔者回顾了国内外研究成果,详细分析了植物激素、CUC2(CUP SHAPED COTYLEDONE2)和MicroRNA对叶缘锯齿发育的影响,总结了植物中各叶缘因子的表达与功能,并探讨了叶缘锯齿形成的分子机制及其意义。分析表明,在复杂的叶缘发育调控网络中,生长素与CUC2对叶缘的调控起到非常重要的作用,大部分叶缘因子的调控功能依赖于生长素和CUC2。最后,展望了叶缘锯齿发育未来的研究方向与发展趋势,并对其以后的应用领域进行了预测。 Leaf margin serration is one of morphological characteristics, which is controlled by various leaf margin factors. We reviewed domestic and foreign research results, introduced in detail the effect of planthormone, CUC2(CUP SHAPED COTYLEDONE2) and MicroRNA on leaf margin serration development,summarized the expression and function of leaf margin factors, discussed the molecular mechanism andsignificance of leaf margin. Analysis showed that auxin and CUC2 had significant function in the leaf marginregulatory network and most leaf margin factors rely on auxin and CUC2. In the end, we proposed futureresearch direction of leaf margin serration development and forecasted its application fields.
作者 李晓屿 Ralf Müller-Xing Shahid Khan 郑玉彩 李玉花 邢倩 Li Xiaoyu;Ralf Müller-Xing;Shahid Khan;Zheng Yucai;Li Yuhua;Xing Qian(College of Life Sciences,Northeast Forestry University,Harbin 150040)
出处 《中国农学通报》 2019年第1期50-56,共7页 Chinese Agricultural Science Bulletin
基金 黑龙江省自然科学基金项目"拟南芥叶片发育表观遗传学时空调控机制的研究"(C2016007)
关键词 叶缘锯齿 叶片发育 形态建成 植物激素 CUC2 MICRORNA leaf margin serration leaf development morphogenesis plant hormone CUC2 MicroRNA
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  • 1JiaqiangSUN,NaoyaHIROSE,XingchunWANG,PeiWEN,LiXUE,HitoshiSAKAKIBARA,JianruZUO.Arabidopsis SOI33/AtENT8 Gene Encodes a Putative Equilibrative Nucleoside Transporter That Is Involved in Cytokinin Transport In Planta[J].Journal of Integrative Plant Biology,2005,47(5):588-603. 被引量:16
  • 2朱静,田兴军,陈彬,吕劲紫.植物叶形的计算机识别系统[J].植物学通报,2005,22(5):599-604. 被引量:42
  • 3王晓峰,黄德双,杜吉祥,张国军.叶片图像特征提取与识别技术的研究[J].计算机工程与应用,2006,42(3):190-193. 被引量:114
  • 4NAM Y, HWANG E, KIM D. A similarity-based leaf image retrieval scheme: Joining shape and venation features [J]. Computer Vision And Image Understanding, 2008, 110: 245-259.
  • 5MACLEOD N, BENFILELD M, CULVERHOUSE P. Time to automate identification[J]. Nature, 2010, 467: 154-155.
  • 6JAMES S C, DAVID C, JONATHAN Y C, et al. Plant species identification using digital morphometrics A re- view[J]. Expert Systems with Applications, 2012, 39: 7562-7573.
  • 7CLARK J Y. Identification of botanical specimens using artificial neural networks[C]//Computational Intelligence in Bioinformatics and Computational Biology, 2004. Proceedings of the 2004 IEEE Symposium on, 2004: 87-94.
  • 8CLARK J Y. Plant identification from characters and measurements using artificial neural networks[M]//MA- CLEODN. Automated Taxon Identification in Systematics: Theory, Approaches and Applications. FL: CRC Press, 2007.
  • 9CLARK J Y. Neural networks and cluster analysis for unsupervised classification of cultivated species of Tilia (Malvaceae)[J]. Botanical Journal of the Linnean Society, 2009, 159: 300-314.
  • 10RUMPUNEN K, BARTISH I V. Comparison of differentiation estimates based on morphometric and molecular data, exemplified by various leaf shape descriptors and RAPDs in the genus Chaenomeles[J]. Taxon, 2002, 51: 69-82.

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