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Journal of Zhejiang University SCIENCE B
ISSN 1673-1581(Print), 1862-1783(Online), Monthly
2021 Vol.22 No.6 P.476-491
Molecular cloning, characterization and expression analysis of three key starch synthesis-related genes from the bulb of a rare lily germplasm, Lilium brownii var. giganteum
Abstract: Starch is the predominant compound in bulb scales, and previous studies have shown that bulblet development is closely associated with starch enrichment. However, how starch synthesis affects bulbification at the molecular level is unclear. In this study, we demonstrate that Lilium brownii var. giganteum, a wild lily with a giant bulb in nature, and L. brownii, the native species, have different starch levels and characteristics according to cytological and ultra-structural observations. We cloned the complete sequence of three key gene-encoding enzymes (LbgAGPS, LbgGBSS, and LbgSSIII) during starch synthesis by rapid amplification of 5' and 3' complementary DNA (cDNA) ends (RACE) technology. Bioinformatics analysis revealed that the proteins deduced by these genes contain the canonical conserved domains. Constructed phylogenetic trees confirmed the evolutionary relationships with proteins from other species, including monocotyledons and dicotyledons. The transcript levels of various tissues and time course samples obtained during bulblet development uncovered relatively high expression levels in bulblets and gradual increase expression accompanying bulblet growth. Moreover, a set of single nucleotide polymorphisms (SNPs) was discovered in the AGPS genes of four lily genotypes, and a purifying selection fashion was predicted according to the non-synonymous/synonymous (Ka/Ks) values. Taken together, our results suggested that key starch-synthesizing genes might play important roles in bulblet development and lead to distinctive phenotypes in bulblet size.
Key words: Lilium; Starch synthesis; Bulblet development; Single nucleotide polymorphism (SNP); Expression pattern
哈尔滨工程大学智能科学与工程学院,中国哈尔滨市,150001
摘要:为准确求解评估方法的权重,提出一种基于iMOEA/D-DE(基于差分进化分解的改进多目标进化算法)的组合权重模型。多专家权重仅考虑主观权重,导致客观性差。为解决此问题,考虑组合系数的不确定性,设计了基于改进博弈论的组合权重多目标优化模型。引入改进变异算子提高收敛速度,进而获得更好优化结果。同时,设计了具有自学习能力的自适应变异系数和交叉概率系数,以提高MOEA/D-DE算法的鲁棒性。由于现有权重评价方法不能单独评价权重,提出一种基于相对熵的新权重评价方法。以组合导航系统评估方法为例开展实验。实验证明,该算法具有良好性能。
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DOI:
10.1631/jzus.B2000545
CLC number:
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On-line Access:
2024-08-27
Received:
2023-10-17
Revision Accepted:
2024-05-08
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