Table 1

Effects of low temperature stratification, embryo sectioning and different concentrations of gibberellin on the breaking of dormancy of A. griseum seeds"

Fig.1

Comparison of inhibitory effects of four extracts from A. griseum seeds on wheat seeds germination (A) Germination of wheat seeds on the third day; (B) Germination of wheat seeds on the 7th day. A1: Wing extract; A2: Outer seed coat extract; A3: Inner seed coat extract; A4: Dormant seed embryo extract; UP: Ultrapure water."

Fig.2

Comparison of inhibitory effects of dormancy embryo and dormancy broken embryo extract from A. griseum seeds on wheat seeds germination (A) Germination of wheat seeds on the third day; (B) Germination of wheat seeds on the 7th day. A4: Dormant seed embryo extract; A5: Break the dormant embryo extract; UP: Ultrapure water."

Fig.3

Effects of four extracts from dormant A. griseum seeds and extract from broken dormant A. griseum embryo on seeds germination of wheat (A) Germination vigor, (B) Germination rate, (C) Germination index. A1: Wing extract; A2: Outer seed coat extract; A3: Inner seed coat extract; A4: Dormant seed embryo extract; A5: Break the dormant embryo extract; UP: Ultrapure water. Different lowercase letters indicate highly significant differences between treatments at P<0.01 level."

Fig.4

Principal component analysis (PCA) of quality control (A) PCA of quality control in positive ion mode, (B) PCA of quality control in negative ion mode. CK: dormancy-broken embryo; T: dormancy embryo; QC: all sample mixing. The PC1 coordinate represents the first principal component, and the percentage in parentheses represents the contribution value of the first principal component to the sample difference. The PC2 coordinate represents the second principal component, and the percentage in parentheses represents the contribution of the second principal component to the sample difference. The colored points in the figure represent different samples respectively, and the closer the distance between the same group of samples, the better the sample repeatability. The more densely distributed QC samples are, the more reliable the data."

Fig.5

Sample correlation heat map (A) Sample correlation heat map in positive ion mode; (B) Sample correlation heat map in negative ion mode. Each row or column in the figure represents a sample, and the value in each cell represents the Pearson correlation coefficient of the corresponding two samples. The closer the value is to 1, the darker the color, the stronger the correlation between the two samples."

Fig.6

OPLS-DA score chart"

Fig.7

KEGG enrichment cycle chart The first circle: the top 20 pathways have been enriched, and the scale outside the circle refers to the number of differential metabolites；Different colors represent different A class. Circle 2: The number and Q value of the pathway in the background of the differential metabolites;The more the background number of differential metabolites, the longer the bar, the smaller the Q value, the redder the color. Circle 3: Bar chart of up-down-regulated differential metabolites proportion, dark purple represents up-regulated differential metabolites proportion, light purple represents down-regulated differential metabolites proportion; The specific values are shown below. Circle 4: RichFactor value of each pathway (the number of differential metabolites in the pathway divided by all the numbers in the pathway), background grid line, each grid represents 0.1."

Fig.8

Differences in multiples (| log2FC |) Top20 metabolites clustering heat map In the figure, each row represents a metabolite, and each column represents a sample. 20 metabolites are standardized by R-package PheATMap (V1.0.12) (Kolde et al., 2018) for data Z-score, and then cluster analysis is performed and heatmap is drawn, which can visually show the expression rules of metabolites in the sample. The redder the color, the higher the abundance of metabolites. The bluer the color, the lower the metabolite abundance. The metabolites and samples were clustered according to their metabolite abundance, and the expression patterns of samples or metabolites under the same branch were more similar."

Table 2

Different multiples (|log2FC|) Top20 significant differences metabolites"

Fig.9

Diagram of seed breaking dormancy pattern of A. griseum "