这项研究讨论了与经济上重要的性状显着相关的基因突变,这将使茶育种者受益。目的分析20个不含氮肥生长的突变基因型茶树种质的叶片品质和品质相关基因中的SNPs。叶N含量,儿茶素,L-茶氨酸,通过HPLC分析干叶中的咖啡因含量。此外,光化学产量,电子传输效率,使用PAM荧光法分析了非光化学猝灭。下一代合并扩增子测序方法用于与N代谢和叶片质量相关的30个关键基因中的SNP调用。基因型之间的叶片N含量显着变化(p≤0.05),占干重的2.3%至3.7%。咖啡因含量从0.7到11.7mgg-1不等,L-茶氨酸含量从0.2到5.8mgg-1干叶质量不等。氮含量与茶氨酸等生化指标呈显著正相关,咖啡因,和大多数儿茶素。然而,在光合参数之间观察到显著的负相关(Y,ETR,Fv/Fm)和几种生化化合物,包括芦丁,槲皮素-3-O-葡萄糖苷,山奈酚-3-O-鲁丁苷,山奈酚-3-O-葡萄糖苷,茶黄素-3'-没食子酸盐,没食子酸.根据我们的SNP分析,在所有基因型中均检测到WRKY57中的三个SNP,N含量较低。此外,29个具有高或中等效果的SNP对#316具有特异性(高N含量,高质量)或#507(低N含量,低质量)。使用线性回归模型揭示了16个显著的关联;茶黄素,L-茶氨酸,和ECG与以下基因的几个SNP相关:ANSa,DFRa,GDH2,4CL,AlaAT1,MYB4,LHT1,F3\'5\'Hb,UFGTa.其中,七个中等影响的SNP导致以下基因的最终蛋白质中氨基酸含量的变化:ANSa,GDH2,4Cl,F3\'5\'Hb,UFGTa.这些结果将有助于进一步评估重要的SNP,并有助于更好地了解树木作物中氮吸收效率的机制。
This study discusses the genetic mutations that have a significant association with economically important traits that would benefit tea breeders. The purpose of this study was to analyze the leaf quality and SNPs in quality-related genes in the tea plant collection of 20 mutant genotypes growing without nitrogen fertilizers. Leaf N-content, catechins, L-theanine, and caffeine contents were analyzed in dry leaves via HPLC. Additionally, the photochemical yield, electron transport efficiency, and non-photochemical quenching were analyzed using PAM-fluorimetry. The next generation pooled amplicon-sequencing approach was used for SNPs-calling in 30 key genes related to N metabolism and leaf quality. The leaf N content varied significantly among genotypes (p ≤ 0.05) from 2.3 to 3.7% of dry mass. The caffeine content varied from 0.7 to 11.7 mg g-1, and the L-theanine content varied from 0.2 to 5.8 mg g-1 dry leaf mass. Significant positive correlations were detected between the nitrogen content and biochemical parameters such as theanine, caffeine, and most of the catechins. However, significant negative correlations were observed between the photosynthetic parameters (Y, ETR, Fv/Fm) and several biochemical compounds, including rutin, Quercetin-3-O-glucoside, Kaempferol-3-O-rutinoside, Kaempferol-3-O-glucoside, Theaflavin-3\'-gallate, gallic acid. From our SNP-analysis, three SNPs in WRKY57 were detected in all genotypes with a low N content. Moreover, 29 SNPs with a high or moderate effect were specific for #316 (high N-content, high quality) or #507 (low N-content, low quality). The use of a linear regression model revealed 16 significant associations; theaflavin, L-theanine, and ECG were associated with several SNPs of the following genes: ANSa, DFRa, GDH2, 4CL, AlaAT1, MYB4, LHT1, F3\'5\'Hb, UFGTa. Among them, seven SNPs of moderate effect led to changes in the amino acid contents in the final proteins of the following genes: ANSa, GDH2, 4Cl, F3\'5\'Hb, UFGTa. These results will be useful for further evaluations of the important SNPs and will help to provide a better understanding of the mechanisms of nitrogen uptake efficiency in tree crops.