Joint Transcription-Metabolism Analysis of Starch and Sucrose Metabolic Pathways in the Transformation of Axillary Buds into Flower Buds of ‘Guifei’Mango

doi:10.16420/j.issn.0513-353x.2024-0603

Acta Horticulturae Sinica ›› 2025, Vol. 52 ›› Issue (6): 1412-1426.doi: 10.16420/j.issn.0513-353x.2024-0603

• Genetic & Breeding?Germplasm Resources?Molecular Biology • Previous Articles Next Articles

Joint Transcription-Metabolism Analysis of Starch and Sucrose Metabolic Pathways in the Transformation of Axillary Buds into Flower Buds of ‘Guifei’Mango

YANG Chunmei¹, YU Yang¹, DING Yuge¹, XIA Jing¹, ZHOU Ling²^,^*(), and PENG Lei¹^,^*()

¹ College of Horticulture and Gardening，Yunnan Agricultural University，Kunming 650000，China
² Tea College，Yunnan Agricultural University，Kunming 650000，China

Received:2024-11-11 Revised:2025-02-24 Online:2025-06-20 Published:2025-06-20
Contact: ZHOU Ling, and PENG Lei

Abstract

Abstract:

Removal of apical inflorescences in mango can promote the transformation of axillary buds to flower buds and delay the flowering time of plants，thus avoiding the damage of“late spring coldness”. Transcriptomic and metabolomic data were measured during the differentiation of axillary buds into flower buds after removal of apical flower buds in‘Guifei’mango，and differentially expressed genes and differential metabolites of starch and sucrose metabolism pathways during axillary bud development were jointly analyzed to clarify their temporal and spatial dynamic changes and expression patterns. The results showed that a total of 76 differentially expressed genes related to starch and sucrose metabolism，involving 17 enzymes，and five differential metabolites were identified during the transformation of axillary buds into flower buds；the expression of SUS（LOC123200616），FRK（LOC123221640），and TPP （LOC123202828）was up-regulated after the apical flower buds were removed；the expression of AMY （LOC123229947）was down-regulated，and the expression trends of the four genes were consistent with the transcriptome analysis. The above results suggested that flower bud differentiation is species-biased for the conversion and utilization of sugars，and mainly relies on the conversion and utilization of sucrose and glucose-6-phosphate；D-fructose and α,α-Trehalose can induce flower formation at specific periods. It is suggested that controlling the ratio of different sugars in axillary buds is beneficial to regulate the flowering period of mango.

Key words: mango, axillary bud, starch and sucrose metabolism pathway, transcriptome, metabolome

YANG Chunmei, YU Yang, DING Yuge, XIA Jing, ZHOU Ling, and PENG Lei. Joint Transcription-Metabolism Analysis of Starch and Sucrose Metabolic Pathways in the Transformation of Axillary Buds into Flower Buds of ‘Guifei’Mango[J]. Acta Horticulturae Sinica, 2025, 52(6): 1412-1426.

Figures/Tables 9

References 40

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基因ID Gene ID	基因名称 Gene name	引物序列（5′-3′）Primer sequence
基因ID Gene ID	基因名称 Gene name	F	R
LOC123200616	SUS	CACACTGCTTTCACGCTTCC	CGGCGTGGAAAGATTTGAGC
LOC123221640	FRK	TGGTGAGCGTGAGTTCATGT	TCTGCCATGTCCCAAATGCT
LOC123202828	TPP	CACCCCGTCCAACTCTTCTC	GCATTGGCTTTGGTTCCTCC
LOC123229947	AMY	AAAGGCTATGCCCCAAGTGT	ATCTCCACAACTCCCCTTGC
内参 Reference	Actin	ATCGCTGAGCACCTTCCAACA	CCAATCCTGACCTCTGACACTTCT

基因ID Gene ID	基因名称 Gene name	引物序列（5′-3′）Primer sequence
基因ID Gene ID	基因名称 Gene name	F	R
LOC123200616	SUS	CACACTGCTTTCACGCTTCC	CGGCGTGGAAAGATTTGAGC
LOC123221640	FRK	TGGTGAGCGTGAGTTCATGT	TCTGCCATGTCCCAAATGCT
LOC123202828	TPP	CACCCCGTCCAACTCTTCTC	GCATTGGCTTTGGTTCCTCC
LOC123229947	AMY	AAAGGCTATGCCCCAAGTGT	ATCTCCACAACTCCCCTTGC
内参 Reference	Actin	ATCGCTGAGCACCTTCCAACA	CCAATCCTGACCTCTGACACTTCT

样本 Sample	有效读数 Clean reads	总匹配数（匹配率） Total mapped	多匹配数（匹配率） Multiple mapped	单一匹配数（匹配率） Uniquely mapped	碱基质量值/% Q30
CKE_1	40 132 108	35 567 452（88.63%）	1 747 958（4.91%）	33 819 494（95.09%）	94.40
CKE_2	39 276 406	35 205 966（89.64%）	1 716 699（4.88%）	33 489 267（95.12%）	94.93
CKE_3	40 485 362	35 292 583（87.17%）	1 699 743（4.82%）	33 592 840（95.18%）	93.70
CKM_1	41 383 850	37 761 770（91.25%）	1 925 421（5.10%）	35 836 349（94.90%）	94.40
CKM_2	40 886 828	36 798 478（90.00%）	1 883 395（5.12%）	34 915 083（94.88%）	93.91
CKM_3	42 596 182	38 891 243（91.30%）	1 974 166（5.08%）	36 917 077（94.92%）	93.94
CKL_1	40 993 586	37 515 798（91.52%）	1 894 802（5.05%）	35 620 996（94.95%）	94.88
CKL_2	39 666 702	35 645 715（89.86%）	1 786 823（5.01%）	33 858 892（94.99%）	94.53
CKL_3	39 900 316	36 084 139（90.44%）	1 815 659（5.03%）	34 268 480（94.97%）	94.38
TE_1	36 933 854	33 811 385（91.55%）	1 655 842（4.90%）	32 155 543（95.10%）	94.57
TE_2	45 905 974	42 436 755（92.44%）	2 037 917（4.80%）	40 398 838（95.20%）	94.55
TE_3	38 386 464	34 936 793（91.01%）	1 746 121（5.00%）	33 190 672（95.00%）	94.84
TM_1	41 574 728	38 301 057（92.13%）	1 898 306（4.96%）	36 402 751（95.04%）	94.04
TM_2	38 726 364	36 138 605（93.32%）	1 768 620（4.89%）	34 369 985（95.11%）	94.88
TM_3	42 622 328	39 917 068（93.65%）	1 941 548（4.86%）	37 975 520（95.14%）	93.63
TL_1	41 846 734	38 980 907（93.15%）	1 921 047（4.93%）	37 059 860（95.07%）	94.43
TL_2	42 676 458	39 983 610（93.69%）	1 881 440（4.71%）	38 102 170（95.29%）	93.98
TL_3	45 793 468	42 863 554（93.60%）	2 052 569（4.79%）	40 810 985（95.21%）	93.84

样本 Sample	有效读数 Clean reads	总匹配数（匹配率） Total mapped	多匹配数（匹配率） Multiple mapped	单一匹配数（匹配率） Uniquely mapped	碱基质量值/% Q30
CKE_1	40 132 108	35 567 452（88.63%）	1 747 958（4.91%）	33 819 494（95.09%）	94.40
CKE_2	39 276 406	35 205 966（89.64%）	1 716 699（4.88%）	33 489 267（95.12%）	94.93
CKE_3	40 485 362	35 292 583（87.17%）	1 699 743（4.82%）	33 592 840（95.18%）	93.70
CKM_1	41 383 850	37 761 770（91.25%）	1 925 421（5.10%）	35 836 349（94.90%）	94.40
CKM_2	40 886 828	36 798 478（90.00%）	1 883 395（5.12%）	34 915 083（94.88%）	93.91
CKM_3	42 596 182	38 891 243（91.30%）	1 974 166（5.08%）	36 917 077（94.92%）	93.94
CKL_1	40 993 586	37 515 798（91.52%）	1 894 802（5.05%）	35 620 996（94.95%）	94.88
CKL_2	39 666 702	35 645 715（89.86%）	1 786 823（5.01%）	33 858 892（94.99%）	94.53
CKL_3	39 900 316	36 084 139（90.44%）	1 815 659（5.03%）	34 268 480（94.97%）	94.38
TE_1	36 933 854	33 811 385（91.55%）	1 655 842（4.90%）	32 155 543（95.10%）	94.57
TE_2	45 905 974	42 436 755（92.44%）	2 037 917（4.80%）	40 398 838（95.20%）	94.55
TE_3	38 386 464	34 936 793（91.01%）	1 746 121（5.00%）	33 190 672（95.00%）	94.84
TM_1	41 574 728	38 301 057（92.13%）	1 898 306（4.96%）	36 402 751（95.04%）	94.04
TM_2	38 726 364	36 138 605（93.32%）	1 768 620（4.89%）	34 369 985（95.11%）	94.88
TM_3	42 622 328	39 917 068（93.65%）	1 941 548（4.86%）	37 975 520（95.14%）	93.63
TL_1	41 846 734	38 980 907（93.15%）	1 921 047（4.93%）	37 059 860（95.07%）	94.43
TL_2	42 676 458	39 983 610（93.69%）	1 881 440（4.71%）	38 102 170（95.29%）	93.98
TL_3	45 793 468	42 863 554（93.60%）	2 052 569（4.79%）	40 810 985（95.21%）	93.84

代谢物 Metabolite	ID	组别 Group	相对含量 Relative content		表达 Expressions	VIP	P值P value
代谢物 Metabolite	ID	组别 Group	CK	T	表达 Expressions	VIP	P值P value
D-葡萄糖-6-磷酸 D-glucose-6P	M259T80	CKE vs. TE	1.13E + 07	2.23E + 07	上调Up	1.480151	0.025974026
		CKM vs. TM	1.33E + 07	2.72E + 07		1.824720	0.004329004
		CKL vs. TL	2.06E + 07	3.47E + 07		1.588965	0.004329004
α,α-海藻糖 α,α-trehalose	M323T94	CKE vs. TE	4.33E + 06	8.08E + 06	上调Up	1.825478	0.015151515
α,α-海藻糖 α,α-trehalose	M323T94	CKL vs. TL	6.14E + 06	9.95E + 06	上调Up	1.318241	0.025974026
D-果糖 D-fructose	M179T164	CKM vs. TM	6.09E + 07	1.26E + 08	上调Up	1.441231	0.002164502
蔗糖 Sucrose	M341T272	CKE vs. TE	1.98E + 07	1.13E + 07	下调Down	1.651202	0.015151515
		CKM vs. TM	2.24E + 07	7.81E + 06		1.694633	0.002164502
		CKL vs. TL	2.07E + 07	8.99E + 06		1.683897	0.002164502
蔗糖6’-磷酸Sucrose-6P	M423T97	CKE vs. TE	1.76E + 07	1.21E + 07	下调Down	1.915860	0.008658009

Joint Transcription-Metabolism Analysis of Starch and Sucrose Metabolic Pathways in the Transformation of Axillary Buds into Flower Buds of ‘Guifei’Mango

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