Comparative Metabolomics Profiling Reveals Key Metabolites and Associated Pathways Regulating Tuber Dormancy in White Yam (Dioscorea rotundata Poir.)

被引:3
|
作者
Nwogha, Jeremiah S. [1 ,2 ,3 ]
Wosene, Abtew G. [1 ]
Raveendran, Muthurajan [2 ]
Obidiegwu, Jude E. [3 ]
Oselebe, Happiness O. [4 ]
Kambale, Rohit [2 ]
Chilaka, Cynthia A. [5 ]
Rajagopalan, Veera Ranjani [2 ]
机构
[1] Jimma Univ, Coll Agr & Vet Med, Dept Hort & Plant Sci, POB 307, Jimma, Ethiopia
[2] Tamil Nadu Agr Univ, Ctr Plant Mol Biol & Biotechnol, Dept Plant Biotechnol & Biochem, Coimbatore 641003, India
[3] Natl Root Crops Res Inst, Yam Res Programme, Umudike 440001, Nigeria
[4] Ebonyi State Univ, Dept Crop Prod & Landscape Management, Abakaliki 480282, Nigeria
[5] Queens Univ Belfast, Inst Global Food Secur, Sch Biol Sci, 19 Chlorine Gardens, Belfast BT9 5DL, North Ireland
关键词
metabolites; differential-accumulation; energy; antioxidant; metabolism; molecular-mechanism; dormancy; regulation; SEED-GERMINATION; SUGAR METABOLISM; DROUGHT STRESS; SOYBEAN SEEDS; AMINO-ACIDS; L; GROWTH; WHEAT; MECHANISMS; POLYAMINES;
D O I
10.3390/metabo13050610
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Yams are economic and medicinal crops with a long growth cycle, spanning between 9-11 months due to their prolonged tuber dormancy. Tuber dormancy has constituted a major constraint in yam production and genetic improvement. In this study, we performed non-targeted comparative metabolomic profiling of tubers of two white yam genotypes, (Obiaoturugo and TDr1100873), to identify metabolites and associated pathways that regulate yam tuber dormancy using gas chromatography-mass spectrometry (GC-MS). Yam tubers were sampled between 42 days after physiological maturity (DAPM) till tuber sprouting. The sampling points include 42-DAPM, 56-DAPM, 87DAPM, 101-DAPM, 115-DAPM, and 143-DAPM. A total of 949 metabolites were annotated, 559 in TDr1100873 and 390 in Obiaoturugo. A total of 39 differentially accumulated metabolites (DAMs) were identified across the studied tuber dormancy stages in the two genotypes. A total of 27 DAMs were conserved between the two genotypes, whereas 5 DAMs were unique in the tubers of TDr1100873 and 7 DAMs were in the tubers of Obiaoturugo. The differentially accumulated metabolites (DAMs) spread across 14 major functional chemical groups. Amines and biogenic polyamines, amino acids and derivatives, alcohols, flavonoids, alkaloids, phenols, esters, coumarins, and phytohormone positively regulated yam tuber dormancy induction and maintenance, whereas fatty acids, lipids, nucleotides, carboxylic acids, sugars, terpenoids, benzoquinones, and benzene derivatives positively regulated dormancy breaking and sprouting in tubers of both yam genotypes. Metabolite set enrichment analysis (MSEA) revealed that 12 metabolisms were significantly enriched during yam tuber dormancy stages. Metabolic pathway topology analysis further revealed that six metabolic pathways (linoleic acid metabolic pathway, phenylalanine metabolic pathway, galactose metabolic pathway, starch and sucrose metabolic pathway, alanine-aspartate-glutamine metabolic pathways, and purine metabolic pathway) exerted significant impact on yam tuber dormancy regulation. This result provides vital insights into molecular mechanisms regulating yam tuber dormancy.
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页数:35
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共 41 条
  • [31] Duration from vine emergence to flowering suggests a long-day or rate of change of photoperiod response in white yam (Dioscorea rotundata Poir.)
    Ile, E. I.
    Craufurd, P. Q.
    Asiedu, R.
    Battey, N. H.
    [J]. ENVIRONMENTAL AND EXPERIMENTAL BOTANY, 2007, 60 (01) : 86 - 94
  • [32] Effects of etiolated slip management on the establishment, fresh tuber yield and yield-related attributes of white guinea Yam, Dioscorea rotundata Poir
    Gyansa-Easmon, CE
    [J]. DISCOVERY AND INNOVATION, 2000, 12 (3-4): : 128 - 131
  • [33] Biomass production and nutrient use efficiency in white Guinea yam (Dioscorea rotundata Poir.) genotypes grown under contrasting soil mineral nutrient availability
    Matsumoto, Ryo
    Asfaw, Asrat
    Ishikawa, Haruki
    Takada, Kanako
    Shiwachi, Hironobu
    Asiedu, Robert
    [J]. FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [34] Effects of synthetic hormone substitutes and genotypes on rooting and mini tuber production of vines cuttings obtained from white yam (Dioscorea rotundata, Poir)
    Agele, S. O.
    Ayankanmi, T. G.
    Kikuno, H.
    [J]. AFRICAN JOURNAL OF BIOTECHNOLOGY, 2010, 9 (30): : 4714 - 4724
  • [35] Comparative Transcriptomic Analysis Reveals Key Pathways Regulating Floral Bud Dormancy in Peach (Prunus Persica)
    Liu, Jianyang
    [J]. HORTSCIENCE, 2023, 58 (09) : S297 - S297
  • [36] Integrated Metagenomic and Metabolomics Profiling Reveals Key Gut Microbiota and Metabolites Associated with Weaning Stress in Piglets
    Zheng, Xianrui
    Xu, Liming
    Tang, Qingqing
    Shi, Kunpeng
    Wang, Ziyang
    Shi, Lisha
    Ding, Yueyun
    Yin, Zongjun
    Zhang, Xiaodong
    [J]. GENES, 2024, 15 (08)
  • [37] Comparative Metabolomics Reveals Key Pathways Associated With the Synergistic Killing of Colistin and Sulbactam Combination Against Multidrug-Resistant Acinetobacter baumannii
    Han, Mei-Ling
    Liu, Xiaofen
    Velkov, Tony
    Lin, Yu-Wei
    Zhu, Yan
    Creek, Darren J.
    Barlow, Christopher K.
    Yu, Heidi H.
    Zhou, Zhihui
    Zhang, Jing
    Li, Jian
    [J]. FRONTIERS IN PHARMACOLOGY, 2019, 10
  • [38] Comparative metabolomics reveals key pathways associated with the synergistic activity of polymyxin B and rifampicin combination against multidrug-resistant Acinetobacter baumannii
    Zhao, Jinxin
    Han, Mei-Ling
    Zhu, Yan
    Lin, Yu-Wei
    Wang, Yi-Wen
    Lu, Jing
    Hu, Yang
    Zhou, Qi Tony
    Velkov, Tony
    Li, Jian
    [J]. BIOCHEMICAL PHARMACOLOGY, 2021, 184
  • [39] Comparative Metabolomic Profiling Reveals Key Secondary Metabolites Associated with High Quality and Nutritional Value in Broad Bean (Vicia faba L.)
    Shi, Shou-Heng
    Lee, Seung-Seop
    Zhu, Ya-Ming
    Jin, Zhu-Qun
    Wu, Fei-Bo
    Qiu, Cheng-Wei
    [J]. MOLECULES, 2022, 27 (24):
  • [40] Metabolomic profiling reveals key factors and associated pathways regulating the differential behavior of rice (Oryza sativa L.) genotypes exposed to geogenic arsenic
    Saini, Himanshu
    Panthri, Medha
    Khan, Ehasanullah
    Saxena, Samiksha
    Pandey, Ashutosh
    Gupta, Meetu
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (02)