Agronomic characteristics and N, P, and K content of A. argyi under the treatment of different phosphorus levels
To explore the effects of phosphate on the growth of A. argyi, we applied different concentrations of phosphate fertilizer and observed changes in agronomic traits. Following harvest, we found that A. argyi plants showed significant variation between the different treatments. As shown in Fig. 1a, the growth of A. argyi was severely inhibited by low phosphorus application levels. The number of seedlings, leaves, stalk thickness, leaf size, plant height, stalk dry weight, and total plant weight under the P1 treatment were significantly lower than treatment P2, as the leaf size, leaf number, stalk dry weight, stalk thickness and emergence, and fresh weight of leaves decreased under P3 treatment compared to that under P2 treatment (Fig. 1b-j). We then assessed the other contents of Mg, Ca, and Zn in A. argyi leaves to further explore how different phosphorus application levels affect other important plant nutrients. The results showed that between the P1 and P3 treatments, the content of N increased from 1.84–2.31%, P increased from 0.16 to 0.2%, and K content declined from 0.73 to 0.47. At moderate (P2) phosphorus application levels, A. argyi leaf Mg content was at its highest, and Ca content was at its lowest. Ca and Zn content were at their highest in P3 conditions (Fig. 1k,l).
Phosphorus affects the flavonoid, phenolic acid, and terpene contents of A. argyi plants
We next tested whether the contents of flavonoids, phenolic acids, and terpene were affected by phosphorus. The results showed that their contents in A. argyi leaves fluctuated significantly under the application of different phosphorus levels (Fig. 2).
With higher treatment levels, the total content of both flavonoids and phenolic acids diminished (Fig. 2c). Moreover, the contents of most flavonoids were negatively correlated with the level of phosphorus: schaftoside content during P2 and P3 treatments were 36.1% and 39.8% of that under P1, respectively (Fig. 2d); hispidulin content during P2 and P3 treatments were 12.5% and 50% of that under P1, respectively(Fig. 2e); and jaceosidin content under P2 and P3 treatments were 20.3% and 68.8% of that under P1, respectively (Fig. 2f). It is worth mentioning that the contents of eupatilin, a specific flavonoids component in A. argyi, broke from this pattern, and declined under P1 and P2 treatment to 18.5% and 13.8% of that under P1 treatment (Fig. 2g). Additionally, when compared with P1, casticin content was reduced by 21.4% under P2 and only 14.29% in P3 (Fig. 2h).
We further detected the contents of several phenolic acids in A. argyi leaves under different conditions. The phenolic acid pattern followed a similar trend as flavonoids: chlorogenic acid content under P2 and P3 treatment were 71.1% and 35.3% of that under P1, respectively (Fig. 2i); isochlorogenic acid A content under P2 and P3 treatment were 28.3% and 54.1% of that under P1, respectively (Fig. 2j); isochlorogenic acid B content under P2 and P3 treatment were 38.2% and 47.3% of that under P1, respectively (Fig. 2k); isochlorogenic acid C content under P2 and P3 treatment were 28.3% and 54.1% of that under P1, respectively (Fig. 2l); and cryptochlorogenic acid contents under P2 and P3 treatment were 44.1% and 67.6% of that under P1, respetivly (Fig. 2m).Conversely, neochlorogenic acid presented a different downward trend, with the contents droping 26.9% and 56.7% (Fig. 2n).
Next, we determined the contents of volatile components in A. argyi leaves under different treatments. The results demonstrated that these contents had greater variation, showing vastly different trends with the increase of phosphate fertilizer application. The contents of endo-borneol, terpinen-4-ol, and camphor increased with the higher levels of phosphate fertilizer (Fig. 2o-q), while the content of caryophyllene decreased sharply (Fig. 2r). Eucalyptol was unique and presented the highest content under P3 treatment and the lowest content under P2 treatment (Fig. 2s). Taken together, these results display that phosphate fertilizer has a range of effects on the accumulation of different volatile components.
Estimation of correlation coefficients for the active ingredient and mineral element content
Following various phosphorus treatments, we analyzed selected ingredient and mineral contents to determine possible changes. We analyzed the content features of the 16 active ingredients and 6 mineral elements selected for study using Pearson correlation. Our results revealed varying degrees of association between each trait (Table 1). Between nitrogen concentration (N) and schaftoside, hispidulin, jaceosidin, casticin, chlorogenic acid, isochlorogenic acid A, and isochlorogenic acid B, we found multiple strong and absolute negative connections. Phosphorus elements were found to be related to caryophyllene, isochlorogenic acid, cryptochlorogenic acid, hispidulin, jaceosidin, casticin, isochlorogenic acid, isochlorogenic acid B, and isochlorogenic acid C. Chlorogenic acid, isochlorogenic acid A, isochlorogenic acid B, isochlorogenic acid C, cryptochlorogenic acid, and caryophyllene were negatively correlated with P as -0.857, -0.975, -0.971, -0.725, -0.971, -0.958, -0.815, -0.749, -0.939, -0.936, and − 0.974, respectively (Table 1). Schaftoside, hispidulin, jaceosidin, eupatilin, casticin, chlorogenic acid, isochlorogenic acid A, B, C, cryptochlorogenic acid, and caryophyllene were all both significantly positively and negatively correlated with endo-borneol, terpinen-4-ol, and camphor (0.860, 0.837, 0.810). We found a strong link between the camphor ratio and Zn. The present study also reflects the strong correlation between the content of N, P, and K and the flavonoids, phenolic acids, terpenoids active ingredients in A. argyi. Research has been conducted in recent years suggesting correlations and heritability in the content of the main mineral elements in various plant species.
Table 1
Estimation of correlation coefficients for active ingredient and mineral element content
Correlation/R
|
N(%)
|
P(%)
|
K(%)
|
Mg(mg/g)
|
Ca(mg/g)
|
Zn(mg/g)
|
Schaftoside (mg/g)
|
− .936**
|
− .857**
|
.845**
|
-0.206
|
0.162
|
-0.334
|
Hispidulin (mg/g)
|
− .680*
|
− .975**
|
.676*
|
0.019
|
-0.228
|
-0.581
|
Jaceosidin (mg/g)
|
− .749*
|
− .971**
|
.710*
|
0.073
|
-0.212
|
-0.575
|
Eupatilin (mg/g)
|
-0.627
|
-0.555
|
.819**
|
-0.143
|
0.074
|
0.093
|
Casticin (mg/g)
|
− .857**
|
− .725*
|
.847**
|
-0.098
|
0.376
|
-0.281
|
Chlorogenic acid (mg/g)
|
− .847**
|
− .971**
|
.837**
|
0.127
|
-0.076
|
-0.517
|
Isochlorogenic acid A (mg/g)
|
− .836**
|
− .958**
|
.855**
|
0.161
|
-0.072
|
-0.488
|
Isochlorogenic acid B (mg/g)
|
− .914**
|
− .815**
|
.890**
|
0.058
|
0.211
|
-0.421
|
Isochlorogenic acid C (mg/g)
|
− .932**
|
− .749*
|
.866**
|
-0.024
|
0.273
|
-0.331
|
Cryptochlorogenic acid (mg/g)
|
− .914**
|
− .939**
|
.881**
|
0.033
|
0.049
|
-0.478
|
Neochlorogenic acid (mg/g)
|
− .870**
|
− .936**
|
.759*
|
0.132
|
-0.11
|
-0.529
|
Endo-borneol (%)
|
.848**
|
.971**
|
− .860**
|
0.051
|
0.013
|
0.503
|
Terpinen-4-ol (%)
|
.802**
|
.931**
|
− .837**
|
-0.071
|
-0.156
|
0.657
|
Camphor (%)
|
.731*
|
.940**
|
− .810**
|
-0.144
|
-0.094
|
.701*
|
Eucalyptol (%)
|
0.104
|
0.621
|
-0.343
|
-0.399
|
0.655
|
0.319
|
Caryophyllene (%)
|
− .742*
|
− .974**
|
.703*
|
0.178
|
-0.298
|
-0.539
|
Functional annotation and enrichment analysis of differentially expressed genes (DEGs) in A. argyi leaves under the treatment of different phosphorus levels
To explore the molecular mechanisms of how phosphate fertilizer affects the accumulation of effective components, we performed an RNA-seq analysis of A. argyi leaves during harvest to identify DEGs under different treatments. We performed three biological replicates and found that each had a great correlation coefficient, indicating the high credibility of RNA-seq data. The fragment per kilobase of transcript per million mapped reads value was calculated to quantify the expression abundance and variation using RSEM software (Fig. S1).
We further identified DEGs using a two-by-two comparison (P2-vs-P1, P3-vs-P1, P3-vs-P2) method. The results showed in P2-vs-P1, P3-vs-P1, and P3-vs-P2 treatments of A. argyi leaves, there were a total of 437 DEGs including 252 up-regulated and 185 down-regulated genes, 221 DEGs including 120 up-regulated and 101 down-regulated genes, and 237 DEGs including 101 up-regulated and 136 down-regulated genes, respectively. Our overall distribution of DEGs is presented as a volcano plot (Fig. S2). We subsequently performed the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway classification of DEGs in these three groups. the KEGG pathways mainly related to phenylpropanoid biosynthesis, flavonoid biosynthesis, flavone and flavonol biosynthesis, phenylalanine, tyrosine and tryptophan biosynthesis, and diterpenoid biosynthesis (Fig. 3a-c).
The heatmap of major enzymes in the metabolic pathway of terpenoids, flavonoids, and phenolic acids under different phosphorus treatments
Terpenoids, flavonoids, and phenolic acids are the main active ingredients in A. argyi leaves and their contents showed a significant difference under different phosphorus treatments. We focused on the expression levels of crucial genes participating the metabolic pathways of these ingredients. We combined data obtained in our previous study on the identification of candidate genes with the transcriptome data obtained in this research (Miao et al., 2022), and processed it using ln (fpkm + 1). We then compared the expression of each gene using a heat map (Fig. 4). The results show that between the different treatments of A. argyi leaves, there is a significant difference in the expression levels of genes invololed in the phenylalanine synthesis pathway including AY175483-RA, AY175483-RA, AY239768-RA, and AY239769-RA encoding PAL; AY239164-RA encoding C3H; AY058254-RA and AY067952-RA encoding C4H; AY241117-RA, AY263333-RA, AY273264-RA, AY287354-RA, and AY296163-RA encoding CHI; AY028393-RA and AY165300-RA genes encoding F3H; AY028393-RA and AY165300-RA encoding F3’H; AY030140-RA and AY278182-RA encoding FLS; AY150231-RA encoding FNS, AY067656-RA, and AY296405-RA encoding FNSII. In the terpene synthesis pathway, we also see differential gene expression in the MEP and MVA pathways, including genes encoding 2-C-methyl-D-erythritol-2, 4-cyclodi-phosphate synthase (MDS), 1-deoxy-D-xylulose 5-phosphate synthase(DXS), (E)-4-hydroxy-3-methyl-but-2-enyl-pyrophosphate synthase (HDR), geranyl diphosphate synthase (GPPS), and terpene synthase (TPS).
Validation of DEGs by RT-qPCR
To further investigate the authenticity of our RNA-seq data, we detected the expression levels of several genes related to the metabolic pathways of terpenoids, flavonoids, and phenolic acids. We selected AY175483-RA, AY239769-RA involved in the production of PAL; AY067952-RA and AY058254-RA associated with C4H; AY239164-RA associated with C3H; AY263333-RA and AY241117-RA associated with CHS; AY028393-RA associated with F3'H; AY028393-RA associated with a gene involved in flavone-6-hydroxylase (F6H), AY027448-RA; AY078091-RA involved in the synthesis of DXS in terpene synthesis; AY261936-RA involved in the generation of 2-C-methyl-Derythritol-4-phosphate cytidylyltransferase(MCT); and AY076609-RA involved in MDS generation. The results showed that the relative expression levels based on RT-qPCR were consistent with our RNA-seq analysis (Fig. 5). Taken together, our results indicate that the differential expression of these crucial genes participate in the metabolic pathways of terpenoids, flavonoids, and phenolic acids give rise to the various contents of these gradients in A. argyi leaves under the treatment of different phosphorus concentrations.