2021
DOI: 10.1371/journal.pone.0260004
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Integrative analyses of metabolome and transcriptome reveals metabolomic variations and candidate genes involved in sweet cherry (Prunus avium L.) fruit quality during development and ripening

Abstract: Sweet cherry (Prunus avium L.), one of the most appreciated and most important commercial temperate fruits, has high sensory quality and nutritional value. Investigating its metabolic variations provides valuable information on the formation of fruit quality. In this study, widely targeted LC-MS/MS based metabolomics was used to identify and quantify metabolic changes during ‘Black Pearl’ sweet cherry development and ripening. A total of 263 significant differentially expressed metabolites (DEMs) were detected… Show more

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Cited by 31 publications
(16 citation statements)
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“…As shown in Figure 9(a), the heat map graphics revealed that many genes and metabolites were negatively or positively correlated, suggesting that the metabolism was likely affected by the transcriptome. The nine-quadrant diagrams [20] were consistent with the result of the heat map and provided more detailed information (Figure 9(b)). The correlation coefficient data (jrj > 0:80) were divided into 1-9 quadrants: the 1 and 9 quadrants indicated the negative correlation between the genes and metabolites; while the quadrants 3 and 7 suggested that they were positively correlated; the 5 quadrant meant no significance, and the rest of quadrants suggested a partial correlation.…”
Section: Integrative Analysis Of the Transcriptome Andsupporting
confidence: 80%
“…As shown in Figure 9(a), the heat map graphics revealed that many genes and metabolites were negatively or positively correlated, suggesting that the metabolism was likely affected by the transcriptome. The nine-quadrant diagrams [20] were consistent with the result of the heat map and provided more detailed information (Figure 9(b)). The correlation coefficient data (jrj > 0:80) were divided into 1-9 quadrants: the 1 and 9 quadrants indicated the negative correlation between the genes and metabolites; while the quadrants 3 and 7 suggested that they were positively correlated; the 5 quadrant meant no significance, and the rest of quadrants suggested a partial correlation.…”
Section: Integrative Analysis Of the Transcriptome Andsupporting
confidence: 80%
“…Moreover, color is one of the most efficient indicators for evaluating fruit quality and maturity. In the mature stage, the color of cherry fruits mainly present as dark red, such as in “Hong Deng” ( P. avium ), “Black Pearl” ( P. avium ), “Santina” ( P. avium ), “Kitayanka” ( P. avium ), “Irema BS” ( P. avium ), “Werdersche braune” ( P. avium ), “Erdi bottermo” ( P. cerasus ), and “Aode” ( P. cerasus ; Liu et al, 2013 ; Cao et al, 2015 ; Starkevič et al, 2015 ; Zhang et al, 2021 ; Yang et al, 2021b ); bright red, such as in “Lapins” ( P. avium ), “Duan bing” ( P. cerasus ), and “Black peel” ( P. cerasus ; Cao et al, 2015 ; Starkevič et al, 2015 ); yellow-and-bright-red bicolor, such as in “Caihong” ( P. avium ) and “Rainier” ( P. avium ; Liu et al, 2013 ; Jin et al, 2016 ); or yellow, such as in “Big Dragon” ( P. avium ) and “Belobokaya rannyaya” ( P. avium ; Starkevič et al, 2015 ; Jin et al, 2016 ). Interestingly, mature P. tomentosa fruits present as orange–red or creamy white ( Figure 1A ), greatly different from other cherries ( Cao et al, 2015 ).…”
Section: Discussionmentioning
confidence: 99%
“…Usually, red pigment accumulation and anthocyanin content increase reach their deepest and the highest at the mature stage ( Liu et al, 2013 ; Shen et al, 2014 ; Starkevič et al, 2015 ; Jin et al, 2016 ; Yang et al, 2021a ). These suggest that anthocyanin may also play an important role in fruit ripening ( Carbone et al, 2019 ; Yang et al, 2021b ). In this study, the a */ b * value ratio was significantly higher in RP than WP fruits at mature stage, which is consistent with the color difference in the appearance of red and white P. tomentosa cherries ( Figures 1A , C ).…”
Section: Discussionmentioning
confidence: 99%
“…With the recent advancements in transcriptome and metabolome, the integrative analysis has provide an effective approach to illustrate the metabolic pathways and regulatory genes in fruit crops, such as sweet cherry [ 30 ], tomentosa cherry [ 26 ], strawberry [ 11 ], and longan [ 31 ]. In this study, integrative analysis of transcriptome and metabolome data were conducted to (i) analyze the color differences between dark-red and yellow Chinese cherry fruits, (ii) identify the differential expressed genes associated with anthocyanin biosynthesis during fruit development, and (iii) identify the key differential expressed metabolites related to anthocyanins and proanthocyanidins between mature dark-red and yellow fruits.…”
Section: Introductionmentioning
confidence: 99%