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您的检索式：作者名="Menglan Hou"
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| 1 | The chromosome-level Stevia genome provides insights into steviol glycoside biosynthesis显示文摘Stevia(Stevia rebaudiana Bertoni)is well known for its very sweet steviol glycosides(SGs)consisting of a common tetracyclic diterpenoid steviol backbone and a variable glycone.Steviol glycosides are 150–300 times sweeter than sucrose and are used as natural zero-calorie sweeteners.However,the most promising compounds are biosynthesized in small amounts.Based on Illumina,PacBio,and Hi-C sequencing,we constructed a chromosome-level assembly of Stevia covering 1416 Mb with a contig N50 value of 616.85 kb and a scaffold N50 value of 106.55 Mb.More than four-fifths of the Stevia genome consisted of repetitive elements.We annotated 44,143 high-confidence protein-coding genes in the high-quality genome.Genome evolution analysis suggested that Stevia and sunflower diverged~29.4 million years ago(Mya),shortly after the whole-genome duplication(WGD)event(WGD-2,~32.1 Mya)that occurred in their common ancestor.Comparative genomic analysis revealed that the expanded genes in Stevia were mainly enriched for biosynthesis of specialized metabolites,especially biosynthesis of terpenoid backbones,and for further oxidation and glycosylation of these compounds.We further identified all candidate genes involved in SG biosynthesis.Collectively,our current findings on the Stevia reference genome will be very helpful for dissecting the evolutionary history of Stevia and for discovering novel genes contributing to SG biosynthesis and other important agronomic traits in future breeding programs. | Xiaoyang Xu Haiyan Yuan Xiaqing Yu Suzhen Huang Yuming Sun Ting Zhang Qingquan Liu Haiying Tong Yongxia Zhang Yinjie Wang Chunxiao Liu Lei Wu Menglan Hou Yongheng Yang | 2021 | Horticulture Research2021，8，1： | 2 |
| 2 | Development of a widely targeted volatilomics method for profiling volatilomes in plants显示文摘Volatile organic compounds play essential roles in plant environment interactions as well as determining the fragrance of plants.Although gas chromatography-mass spectrometry-based untargeted metabolo-mics is commonly used to assess plant volatiles,it suffers from high spectral convolution,low detection sensitivity,a limited number of annotated metabolites,and relatively poor reproducibility.Here,we report a widely targeted volatilomics(WTV)method that involves using a“targeted spectra extraction”algorithm to address spectral convolution,constructing a high-coverage MS2 spectral tag library to expand volatile annotation,adapting a multiple reaction monitoring mode to improve sensitivity,and using regression models to adjust for signal drift.The newly developed method was used to profile the volatilome of rice grains.Compared with the untargeted method,the newly developed WTV method shows higher sensitivity(for example,the signal-to-noise ratio of guaicol increased from 4.1 to 18.8),high annotation coverage(the number of annotated volatiles increased from 43 to 132),and better reproducibility(the number of volatiles in quality control samples with relative standard deviation value below 30.0%increased from 14 to 92 after normalization).Using the WTV method,we studied the metabolic responses of tomato to environmental stimuli and profiled the volatilomes of different rice accessions.The results identified benzothiazole as a potential airborne signal priming tomato plants for enhanced defense and 2-nonanone and 2-heptanone as novel aromatic compounds contributing to rice fragrance.These case studies suggest that the widely targeted volatilomics method is more efficient than those currently used and may considerably promote plant volatilomics studies. | Honglun Yuan Guangping Cao Xiaodong Hou Menglan Huang Pengmeng Du Tingting Tan Youjin Zhang Haihong Zhou Xianqing Liu Ling Liu Yiding Jiangfang Yufei Li Zhenhuan Liu Chuanying Fang Liqing Zhao Alisdair R.Fernie Jie Luo | 2022 | Molecular Plant2022，15，1： | 2 |
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