| [1] |
Oboh G. 2005. Effect of blanching on the antioxidant properties of some tropical green leafy vegetables. |
| [2] |
Bayer M, Neugart S, Pöhnl T. 2022. Influence of urban gardening conditions on the concentration of antioxidant secondary plant metabolites in kale. |
| [3] |
Lee JH, Kwon MC, Jung ES, Lee CH, Oh MM. 2019. Physiological and metabolomic responses of kale to combined chilling and UV-a treatment. |
| [4] |
Park CH, Yeo HJ, Baskar TB, Kim JK, Park SU. 2018. Metabolic profiling and chemical-based antioxidant assays of green and red lettuce (Lactuca sativa). |
| [5] |
Kim DE, Shang X, Assefa AD, Keum YS, Saini RK. 2018. Metabolite profiling of green, green/red, and red lettuce cultivars: variation in health beneficial compounds and antioxidant potential. |
| [6] |
Ismail H, Gillespie AL, Calderwood D, Iqbal H, Gallagher C, et al. 2019. The health promoting bioactivities of Lactuca sativa can be enhanced by genetic modulation of plant secondary metabolites. |
| [7] |
Oh SW, Imran M, Kim EH, Park SY, Lee SG, et al. 2023. Approach strategies and application of metabolomics to biotechnology in plants. |
| [8] |
Crupi P, Faienza MF, Naeem MY, Corbo F, Clodoveo ML, et al. 2023. Overview of the potential beneficial effects of carotenoids on consumer health and well-being. |
| [9] |
Pandey KB, Rizvi SI. 2009. Plant polyphenols as dietary antioxidants in human health and disease. |
| [10] |
Palazon J, Alcalde MA. 2025. Secondary metabolites in plants. |
| [11] |
Jingjing E, Zhang Y, Yang R. 2025. Impact of metabolite transformations on off-flavor profiles of pasteurized drinking yogurt in non-microbial conditions. |
| [12] |
Eriksen R, Perez IG, Posma JM, Haid M, Sharma S, et al. 2020. Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: an IMI DIRECT study. |
| [13] |
Jiang N, Liu W, Xiao Z, Xiang X, Zhong Y. 2025. Metabolomics unveiled the accumulation characteristics of taste compounds during the development and maturation of Litchi fruit. |
| [14] |
Pérez-Alonso MM, Carrasco-Loba V, Pollmann S. 2018. Advances in plant metabolomics. In Annual Plant Reviews online, ed. Roberts PJ. Chichester, UK: John Wiley & Sons, Ltd. pp. 557−588 doi: 10.1002/9781119312994.apr0660 |
| [15] |
Sawada Y, Hirai MY. 2013. Integrated lc-ms/ms system for plant metabolomics. |
| [16] |
Karakas E, Bulut M, Fernie A. 2025. Metabolome guided treasure hunt - learning from metabolic diversity. |
| [17] |
Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, et al. 2021. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. |
| [18] |
Bhattacharya S. 2023. Fruits and vegetables. In Snack Foods, ed. Bhattacharya S. London, UK: Academic Press. pp. 95−116 doi: 10.1016/b978-0-12-819759-2.00013-6 |
| [19] |
Sumner LW, Amberg A, Barrett D, Beale MH, Beger R, et al. 2007. Proposed minimum reporting standards for chemical analysis Chemical Analysis Working Group (CAWG) Metabolomics Standards Initiative (MSI). |
| [20] |
Delavari S, Pourahmadi M, Barzkar F. 2023. What quality assessment tool should I use? a practical guide for systematic reviews authors. |
| [21] |
Amjadi Z, Hamzehzarghani H, Rodriguez VM, Huang YJ, Farahbakhsh F. 2024. Studying temperature’s impact on Brassica napus resistance to identify key regulatory mechanisms using comparative metabolomics. |
| [22] |
Pino Del Carpio D, Basnet RK, Arends D, Lin K, De Vos RC, et al. 2014. Regulatory network of secondary metabolism in Brassica rapa: insight into the glucosinolate pathway. |
| [23] |
Cozzolino R, Martignetti A, Pellicano MP, Stocchero M, Cefola M, et al. 2016. Characterisation of volatile profile and sensory analysis of fresh-cut "Radicchio di Chioggia" stored in air or modified atmosphere. |
| [24] |
Donadio G, Bellone ML, Mensitieri F, Parisi V, Santoro V, et al. 2023. Characterization of health beneficial components in discarded leaves of three escarole (Cichorium endivia L.) cultivar and study of their antioxidant and anti-inflammatory activities. |
| [25] |
Sun J, Zhang M, Chen P. 2016. GLS-finder: a platform for fast profiling of glucosinolates in Brassica Vegetables. |
| [26] |
Zhang L, Wang Z, Zeng S, Yuan S, Yue X, et al. 2023. Browning mechanism in stems of fresh-cut lettuce. |
| [27] |
Xing JC, Zhao BQ, Dong J, Liu C, Wen ZG, et al. 2020. Transcriptome and metabolome profiles revealed molecular mechanisms underlying tolerance of Portulaca oleracea to saline stress. |
| [28] |
Anju T, Ahmad I, Ramchiary N, Kumar A. 2024. Valorization of unconventional traditional leafy vegetable diversity for minerals, health-promoting phytochemicals, and antioxidants. |
| [29] |
Brychkova G, de Oliveira CL, Gomes LAA, de Souza Gomes M, Fort A, et al. 2023. Regulation of carotenoid biosynthesis and degradation in lettuce (Lactuca sativa L.) from seedlings to harvest. |
| [30] |
Fan XX, Bian ZH, Song B, Xu H. 2022. Transcriptome analysis reveals the differential regulatory effects of red and blue light on nitrate metabolism in pakchoi (Brassica campestris L.). |
| [31] |
Guo J, Wu T, Fu M, Li G, Luo W, et al. 2022. An integrated analysis of transcriptome and metabolism reveals an inhibitory effect of low light on anthocyanin biosynthesis in purple Cai-Tai (brassicarapa L. var. purpurea). |
| [32] |
Zhang R, Liu Y, Pan Q, Khan A, Bai X, et al. 2023. The effects of short term blue light treatment on promoting nutrition value in Chinese cabbage. |
| [33] |
Chandradevan M, Simoh S, Mediani A, Ismail IS, Abas F. 2020. 1H NMR-based metabolomics approach in investigating the chemical profile, antioxidant and anti-inflammatory activities of Gynura procumbens and Cleome gynandra. |
| [34] |
Das S. 2012. Systematics and taxonomic delimitation of vegetable, grain and weed amaranths: a morphological and biochemical approach. |
| [35] |
Giorgetti L, Giorgi G, Cherubini E, Gervasi PG, Della Croce CM, et al. 2018. Screening and identification of major phytochemical compounds in seeds, sprouts and leaves of Tuscan black kale Brassica oleracea (L.) ssp Acephala (DC) var. sabellica L. |
| [36] |
Nemadodzi LE, Managa GM. 2023. 1H NMR-based metabolomics profile of green and red Amaranthus grown in open field versus greenhouse cultivation system. |
| [37] |
da Silva AF, de Oliveira Lopes M, Cerdeira CD, Ribeiro IS, Rosa IA, et al. 2020. Study and evaluation of antimicrobial activity and antioxidant capacity of dry extract and fractions of leaves of Raphanus sativus var. oleiferus Metzg. |
| [38] |
Suparman, Inpota P, Phonchai A, Wilairat P, Chantiwas R. 2020. Rapid measurement of indole levels in Brassica vegetables using one millilitre binary organic extraction solvent and capillary electrophoresis-UV analysis. |
| [39] |
Tuan NQ, Lee W, Oh J, Kulkarni RR, Gény C, et al. 2015. Flavanones and chromones from Salicornia herbacea mitigate septic lethality via restoration of vascular barrier integrity. |
| [40] |
Ronoh R, Ekhuya NA, Linde M, Winkelmann T, Abukutsa-Onyango M, et al. 2018. African nightshades: genetic, biochemical and metabolite diversity of an underutilised indigenous leafy vegetable and its potential for plant breeding. |
| [41] |
Wang X, Peng R, Zhao L. 2024. Multiscale metabolomics techniques: Insights into neuroscience research. |
| [42] |
Shackleton C, Pozo OJ, Marcos J. 2018. GC/MS in recent years has defined the normal and clinically disordered steroidome: will it soon be surpassed by LC/tandem MS in this role? |
| [43] |
Waris M, Koçak E, Gonulalan EM, Demirezer LO, Kır S, et al. 2022. Metabolomics analysis insight into medicinal plant science. |
| [44] |
Akyol S, Ashrafi N, Yilmaz A, Turkoglu O, Graham SF. 2023. Metabolomics: an emerging “omics” platform for systems biology and its implications for Huntington disease research. |
| [45] |
Food and Agriculture Organization of the United Nations (FAO). 2022. FAOSTAT: Crops and livestock products. Rome, Italy: FAO. www.fao.org/faostat/en/#data/QCL |
| [46] |
Ampim PAY, Obeng E, Olvera-Gonzalez E. 2022. Indoor vegetable production: an alternative approach to increasing cultivation. |
| [47] |
Liigand J, Wang T, Kellogg J, Smedsgaard J, Cech N, et al. 2020. Quantification for non-targeted LC/MS screening without standard substances. |
| [48] |
Pratelli R, Pilot G. 2014. Regulation of amino acid metabolic enzymes and transporters in plants. |
| [49] |
Trovato M, Funck D, Forlani G, Okumoto S, Amir R. 2021. Editorial: amino acids in plants: regulation and functions in development and stress defense. |
| [50] |
Salam U, Ullah S, Tang ZH, Elateeq AA, Khan Y, et al. 2023. Plant metabolomics: an overview of the role of primary and secondary metabolites against different environmental stress factors. |
| [51] |
Kim HU. 2020. Lipid metabolism in plants. |
| [52] |
Henschel JM, de Andrade AN, dos Santos JBL, da Silva RR, da Mata DA, et al. 2024. Lipidomics in plants under abiotic stress conditions: an overview. |
| [53] |
Pietrowska-Borek M, Dobrogojski J, Sobieszczuk-Nowicka E, Borek S. 2020. New insight into plant signaling: extracellular ATP and uncommon nucleotides. |
| [54] |
Igamberdiev AU, Bykova NV. 2018. Role of organic acids in the integration of cellular redox metabolism and mediation of redox signalling in photosynthetic tissues of higher plants. |
| [55] |
Igamberdiev AU, Eprintsev AT. 2016. Organic acids: the pools of fixed carbon involved in redox regulation and energy balance in higher plants. |
| [56] |
Asensi-Fabado MA, Munné-Bosch S. 2010. Vitamins in plants: occurrence, biosynthesis and antioxidant function. |
| [57] |
Torres-Contreras AM, Garcia-Baeza A, Vidal-Limon HR, Balderas-Renteria I, Ramírez-Cabrera MA, et al. 2022. Plant secondary metabolites against skin photodamage: Mexican plants, a potential source of UV-radiation protectant molecules. |
| [58] |
Saini N, Anmol A, Kumar S, Wani AW, Bakshi M, et al. 2024. Exploring phenolic compounds as natural stress alleviators in plants- a comprehensive review. |
| [59] |
Dehghanian Z, Habibi K, Dehghanian M, Aliyar S, Asgari Lajayer B, et al. 2022. Reinforcing the bulwark: unravelling the efficient applications of plant phenolics and tannins against environmental stresses. |
| [60] |
Baldelli S, Lombardo M, D'Amato A, Karav S, Tripodi G, et al. 2025. Glucosinolates in human health: metabolic pathways, bioavailability, and potential in chronic disease prevention. |
| [61] |
Connolly EL, Sim M, Travica N, Marx W, Beasy G, et al. 2021. Glucosinolates from cruciferous vegetables and their potential role in chronic disease: investigating the preclinical and clinical evidence. |
| [62] |
Schmitzer V, Senica M, Slatnar A, Stampar F, Jakopic J. 2021. Changes in metabolite patterns during refrigerated storage of lamb’s lettuce (Valerianella locusta L. betcke). |
| [63] |
Olsen H, Aaby K, Borge GI. 2009. Characterization and quantification of flavonoids and hydroxycinnamic acids in curly kale (Brassica oleracea L. Convar. Acephala var. sabellica) by HPLC-DAD-ESI-MSn. |
| [64] |
Pérez-López U, Sgherri C, Miranda-Apodaca J, Micaelli F, Lacuesta M, et al. 2018. Concentration of phenolic compounds is increased in lettuce grown under high light intensity and elevated CO2. |
| [65] |
Müller-Waldeck F, Sitzmann J, Schnitzler WH, Graßmann J. 2010. Determination of toxic Perilla ketone, secondary plant metabolites and antioxidative capacity in five Perilla frutescens L. varieties. |
| [66] |
Lawal U, Maulidiani M, Shaari K, Ismail IS, Khatib A, et al. 2017. Discrimination of Ipomoea aquatica cultivars and bioactivity correlations using NMR-based metabolomics approach. |
| [67] |
Abu Bakar Sajak A, Abas F, Ismail A, Khatib A. 2016. Effect of different drying treatments and solvent ratios on phytochemical constituents of Ipomoea aquatica and correlation with α-glucosidase inhibitory activity. |
| [68] |
Maina S, Ryu DH, Cho JY, Jung DS, Park JE, et al. 2021. Exposure to salinity and light spectra regulates glucosinolates, phenolics, and antioxidant capacity of Brassica carinata L. |
| [69] |
Voynikov Y, Gevrenova R, Balabanova V, Doytchinova I, Nedialkov P, et al. 2019. LC-MS analysis of phenolic compounds and oleraceins in aerial parts of Portulaca oleracea L. |
| [70] |
Lee SY, Abas F, Khatib A, Ismail IS, Shaari K, et al. 2016. Metabolite profiling of Neptunia oleracea and correlation with antioxidant and α-glucosidase inhibitory activities using 1H NMR-based metabolomics. |
| [71] |
Liu N, An X, Wang Y, Qi J. 2023. Metabolomics analysis reveals the effect of fermentation to secondary metabolites of Chenopodium album L. based on UHPLC-QQQ-MS. |
| [72] |
Sytar O, Zivcak M, Bruckova K, Brestic M, Hemmerich I, et al. 2018. Shift in accumulation of flavonoids and phenolic acids in lettuce attributable to changes in ultraviolet radiation and temperature. |
| [73] |
Garcia PJB, Huang SK, De Castro-Cruz KA, Leron RB, Tsai PW. 2023. An in vitro evaluation and network pharmacology analysis of prospective anti-prostate cancer activity from Perilla frutescens. |
| [74] |
Olsen H, Aaby K, Borge GIA. 2010. Characterization, quantification, and yearly variation of the naturally occurring polyphenols in a common red variety of curly kale (Brassica oleracea L. convar. acephala var. sabellica cv. ‘Redbor’). |
| [75] |
Köseoğlu Yılmaz P, Ertaş A, Akdeniz M, Koçyiğit Avcı M, Kolak U. 2019. Chemical compositions by LC-MS/MS and GC-MS and biological activities of Chenopodium album subsp. album var. Microphyllum. |
| [76] |
Ljubej V, Radojčić Redovniković I, Salopek-Sondi B, Smolko A, Roje S, et al. 2021. Chilling and freezing temperature stress differently influence glucosinolates content in Brassica oleracea var. acephala. |
| [77] |
Lee BS, So HM, Kim S, Kim JK, Kim JC, et al. 2022. Comparative evaluation of bioactive phytochemicals in Spinacia oleracea cultivated under greenhouse and open field conditions. |
| [78] |
Moyo SM, Serem JC, Bester MJ, Mavumengwana V, Kayitesi E. 2020. Influence of boiling and subsequent phases of digestion on the phenolic content, bioaccessibility, and bioactivity of Bidens pilosa (Blackjack) leafy vegetable. |
| [79] |
Rajabbeigi E, Eichholz I, Beesk N, Ulrichs C, Kroh LW, et al. 2013. Interaction of drought stress and UV-B radiation - impact on biomass production and flavonoid metabolism in lettuce (Lactuca sativa L.). |
| [80] |
Rafi M, Hayati F, Umar AH, Septaningsih DA, Rachmatiah T. 2023. LC-HRMS-based metabolomics to evaluate the phytochemical profile and antioxidant capacity of Cosmos caudatus with different extraction methods and solvents. |
| [81] |
Craver JK, Gerovac JR, Lopez RG, Kopsell DA. 2017. Light intensity and light quality from sole-source light-emitting diodes impact phytochemical concentrations within Brassica Microgreens. |
| [82] |
Huang JJ, D’Souza C, Tan MQ, Zhou W. 2021. Light intensity plays contrasting roles in regulating metabolite compositions in choy sum (Brassica rapa var. parachinensis). |
| [83] |
Zhou W, Liang X, Li K, Dai P, Li J, et al. 2021. Metabolomics analysis reveals potential mechanisms of phenolic accumulation in lettuce (Lactuca sativa L.) induced by low nitrogen supply. |
| [84] |
Aires A, Carvalho R, Rosa EAS, Saavedra MJ. 2013. Phytochemical characterization and antioxidant properties of baby-leaf watercress produced under organic production system. |
| [85] |
Zhao Y, Wang H, Mei Y, Yue Z, Lei J, et al. 2024. Profiling metabolites distribution among various leaf layers of Chinese cabbage. |
| [86] |
Hameed MK, Umar W, Razzaq A, Wei S, Niu Q, et al. 2023. Quantification of total polyphenols, antioxidants, anthocyanins and secondary metabolites by UPLC VION IMS QTOF MS/MS analysis in green and red lettuce cultivars. |
| [87] |
Sarker U, Ercisli S. 2022. Salt eustress induction in red amaranth (Amaranthus gangeticus) augments nutritional, phenolic acids and antiradical potential of leaves. |
| [88] |
Martínez-Moreno A, Frutos-Tortosa A, Diaz-Mula H, Mestre TC, Martínez V. 2024. Effect of the intensity and spectral quality of LED light on growth and quality of spinach indoors. |
| [89] |
Managa MG, Sultanbawa Y, Sivakumar D. 2020. Effects of different drying methods on untargeted phenolic metabolites, and antioxidant activity in Chinese cabbage (Brassica rapa L. subsp. chinensis) and nightshade (Solanum retroflexum Dun.). |
| [90] |
Pu Q, He Z, Xiang C, Shi S, Zhang L, et al. 2022. Integration of metabolome and transcriptome analyses reveals the mechanism of anthocyanin accumulation in purple radish leaves. |
| [91] |
Yeo HJ, Baek SA, Sathasivam R, Kim JK, Park SU. 2021. Metabolomic analysis reveals the interaction of primary and secondary metabolism in white, pale green, and green pak choi (Brassica rapa subsp. chinensis). |
| [92] |
Zhao Y, Qi X, Liu Z, Zheng W, Guan J, et al. 2022. Transcriptome and Metabolome Profiling to Explore the Causes of Purple Leaves Formation in Non-Heading Chinese Cabbage (Brassica rapa L. ssp. chinensis Makino var. mutliceps Hort.). |
| [93] |
Zhou F, Zuo J, Gao L, Sui Y, Wang Q, et al. 2019. An untargeted metabolomic approach reveals significant postharvest alterations in vitamin metabolism in response to LED irradiation in pak-choi (Brassica campestris L. ssp. chinensis (L.) Makino var. communis Tsen et Lee). |
| [94] |
Guo N, Han S, Zong M, Wang G, Zheng S, et al. 2019. Identification and differential expression analysis of anthocyanin biosynthetic genes in leaf color variants of ornamental kale. |
| [95] |
Yeo HJ, Ki WY, Lee S, Kim CY, Kim JK, et al. 2023. Metabolite profiles and biological activities of different phenotypes of Chinese cabbage (Brassica rapa ssp. Pekinensis). |
| [96] |
Deng S, Ma X, Ding Q, Hou X. 2024. A comparative metabolomics study of glucosinolates in four watercress (Nasturtium officinale R. Br.) samples from different origins using ultra-high-performance liquid chromatography–electrospray ionization–tandem mass spectrometry. |
| [97] |
Statilko O, Tsiaka T, Sinanoglou VJ, Strati IF. 2024. Overview of phytochemical composition of Brassica oleraceae var. capitata cultivars. |
| [98] |
Swallah MS, Sun H, Affoh R, Fu H, Yu H. 2020. Antioxidant potential overviews of secondary metabolites (polyphenols) in fruits. |
| [99] |
Pisoschi AM, Pop A, Cimpeanu C, Predoi G. 2016. Antioxidant capacity determination in plants and plant-derived products: a review. |
| [100] |
Lang Y, Gao N, Zang Z, Meng X, Lin Y, et al. 2024. Classification and antioxidant assays of polyphenols: a review. |
| [101] |
Moloto MR, Phan ADT, Shai JL, Sultanbawa Y, Sivakumar D. 2020. Comparison of phenolic compounds, carotenoids, amino acid composition, in vitro antioxidant and anti-diabetic activities in the leaves of seven cowpea (Vigna unguiculata) cultivars. |
| [102] |
Bello OM, Umar AS, Sada MH. 2023. Profiling of secondary metabolites from Crassocephalum crepidioides (wild leafy vegetable): validation of ethnomedicinal claim by in-vitro and in-silico studies. |
| [103] |
Merinas-Amo T, Lozano-Baena MD, Obregón-Cano S, Alonso-Moraga Á, de Haro-Bailón A. 2021. Role of glucosinolates in the nutraceutical potential of selected cultivars of Brassica rapa. |
| [104] |
Abdalla MA, Li F, Wenzel-Storjohann A, Sulieman S, Tasdemir D, et al. 2021. Comparative metabolite profile, biological activity and overall quality of three lettuce (Lactuca sativa L., Asteraceae) cultivars in response to sulfur nutrition. |
| [105] |
Qin XX, Zhang MY, Han YY, Hao JH, Liu CJ, et al. 2018. Beneficial phytochemicals with anti-tumor potential revealed through metabolic profiling of new red pigmented lettuces (Lactuca sativa L.). |
| [106] |
Javadi N, Abas F, Mediani A, Abd Hamid A, Khatib A, et al. 2015. Effect of storage time on metabolite profile and alpha-glucosidase inhibitory activity of Cosmos caudatus leaves - GCMS based metabolomics approach. |
| [107] |
Crescenzi MA, D’Urso G, Piacente S, Montoro P. 2022. UPLC-ESI-QTRAP-MS/MS analysis to quantify bioactive compounds in fennel (Foeniculum vulgare Mill.) waste with potential anti-inflammatory activity. |
| [108] |
Abdel-alim ME, Serag MS, Moussa HR, Elgendy MA, Mohesien MT, et al. 2023. Phytochemical screening and antioxidant potential of lotus corniculatusand Amaranthus viridis. |
| [109] |
Tao H, Zhao Y, Li L, He Y, Zhang X, et al. 2023. Comparative metabolomics of flavonoids in twenty vegetables reveal their nutritional diversity and potential health benefits. |
| [110] |
Azuma K, Nakayama M, Koshioka M, Ippoushi K, Yamaguchi Y, et al. 1999. Phenolic antioxidants from the leaves of Corchorus olitorius L. |
| [111] |
Assefa AD, Choi S, Lee JE, Sung JS, Hur OS, et al. 2019. Identification and quantification of selected metabolites in differently pigmented leaves of lettuce (Lactuca sativa L.) cultivars harvested at mature and bolting stages. |
| [112] |
Min K, Chen K, Arora R. 2020. A metabolomics study of ascorbic acid-induced in situ freezing tolerance in spinach (Spinacia oleracea L.). |
| [113] |
Watanabe M, Ayugase J. 2015. Effect of low temperature on flavonoids, oxygen radical absorbance capacity values and major components of winter sweet spinach (Spinacia oleracea L.). |
| [114] |
Martínez-Sanchez A, Llorach R, Gil MI, Ferreres F. 2007. Identification of new flavonoid glycosides and flavonoid profiles to characterize rocket leafy salads (Eruca vesicaria and Diplotaxis tenuifolia). |
| [115] |
Neugart S, Baldermann S, Hanschen FS, Klopsch R, Wiesner-Reinhold M, et al. 2018. The intrinsic quality of brassicaceous vegetables: how secondary plant metabolites are affected by genetic, environmental, and agronomic factors. |
| [116] |
Hennig K, de Vos RCH, Maliepaard C, Dekker M, Verkerk R, et al. 2014. A metabolomics approach to identify factors influencing glucosinolate thermal degradation rates in Brassica vegetables. |
| [117] |
Zhang W, Alseekh S, Zhu X, Zhang Q, Fernie AR, et al. 2020. Dissection of the domestication-shaped genetic architecture of lettuce primary metabolism. |
| [118] |
Chadwick M, Swann JR, Gawthrop F, Michelmore R, Scaglione D, et al. 2024. Mapping taste and flavour traits to genetic markers in lettuce Lactuca sativa. |
| [119] |
Krishna TPA, Veeramuthu D, Maharajan T, Soosaimanickam M. 2023. The era of plant breeding: conventional breeding to genomics-assisted breeding for crop improvement. |
| [120] |
Yang L, Yang Y, Huang L, Cui X, Liu Y. 2023. From single- to multi-omics: future research trends in medicinal plants. |
| [121] |
Wei S, Zhang L, Huo G, Ge G, Luo L, et al. 2021. Comparative transcriptomics and metabolomics analyses provide insights into thermal resistance in lettuce (Lactuca sativa L.). |
| [122] |
Zhang L, Ma C, Chao H, Long Y, Wu J, et al. 2019. Integration of metabolome and transcriptome reveals flavonoid accumulation in the intergeneric hybrid between Brassica rapa and Raphanus sativus. |
| [123] |
Wang J, Yu S, Ren X, Wang Y, Wang Z, et al. 2024. Integrative analyses of metabolites and transcriptome reveal the metabolic pattern of glucosinolates in potherb mustard (Brassica juncea var. multiceps). |
| [124] |
Wang J, Hu T, Wang Y, Wang W, Hu H, et al. 2023. Metabolic and transcriptomic analyses reveal different metabolite biosynthesis profiles between purple and green pak choi. |
| [125] |
He Q, Xue Y, Wang Y, Zhang N, Zhang L. 2022. Metabolic profiling and transcriptomic data providing critical flavonoid biosynthesis mechanisms disclose color differences of purple heading Chinese cabbages (Brassica rapa L.). |
| [126] |
Xi D, Gao L, Li X, Yang X, Zhu Y, et al. 2022. Metabolome and transcriptome revealed genes associated with anthocyanin accumulation in purple Caitai (Brassica compestris. var. tsai-tai Hort.). |
| [127] |
Cai C, de Vos RCH, Qian H, Bucher J, Bonnema G. 2024. Metabolomic and transcriptomic profiles in diverse Brassica oleracea crops provide insights into the genetic regulation of glucosinolate profiles. |
| [128] |
Park CH, Bong SJ, Lim CJ, Kim JK, Park SU. 2020. Transcriptome analysis and metabolic profiling of green and red mizuna (Brassica rapa L. var. japonica). |
| [129] |
Yuan Z, Dong F, Pang Z, Fallah N, Zhou Y, et al. 2022. Integrated metabolomics and transcriptome analyses unveil pathways involved in sugar content and rind color of two sugarcane varieties. |
| [130] |
Yang Y, Ali Saand M, Huang L, Abdelaal WB, Zhang J, et al. 2021. Applications of multi-omics technologies for crop improvement. |
| [131] |
Zapalska-Sozoniuk M, Chrobak L, Kowalczyk K, Kankofer M. 2019. Is it useful to use several "omics" for obtaining valuable results? |
| [132] |
Yang X, Wei S, Liu B, Guo D, Zheng B, et al. 2018. A novel integrated non-targeted metabolomic analysis reveals significant metabolite variations between different lettuce (Lactuca sativa. L) varieties. |
| [133] |
Liu Y, Zhang H, Umashankar S, Liang X, Lee HW, et al. 2018. Characterization of plant volatiles reveals distinct metabolic profiles and pathways among 12 Brassicaceae vegetables. |
| [134] |
Chen J, Zhang D, Wang Q, Yang A, Zheng Y, et al. 2022. Comprehensive comparison of two color varieties of perillae folium by GC-MS-based metabolomic approach. |
| [135] |
Gomes AMF, Rodrigues AP, António C, Rodrigues AM, Leitão AE, et al. 2020. Drought response of cowpea (Vigna unguiculata (L.) Walp.) landraces at leaf physiological and metabolite profile levels. |
| [136] |
Wiesner M, Zrenner R, Krumbein A, Glatt H, Schreiner M. 2013. Genotypic variation of the glucosinolate profile in pak choi (Brassica rapa ssp. chinensis). |
| [137] |
Corrado G, Lucini L, Miras-Moreno B, Zhang L, El-Nakhel C, et al. 2021. Intraspecific variability largely affects the leaf metabolomics response to isosmotic macrocation variations in two divergent lettuce (Lactuca sativa L.) varieties. |
| [138] |
Mubeen HM, Li Y, Hu C. 2024. Metabolite diversity and carbohydrate distribution in Brassica campestris ssp. chinensis L. cultivars: a UPLC-MS/MS approach. |
| [139] |
García-Pérez P, Tomas M, Rivera-Pérez A, Patrone V, Giuberti G, et al. 2024. Exploring the bioaccessibility of polyphenols and glucosinolates from Brassicaceae microgreens by combining metabolomics profiling and computational chemometrics. |
| [140] |
Shen Y, Mao L, Zhou Y, Sun Y, Liu Z, et al. 2023. Integrated transcriptome and metabolome analysis revealed the molecular mechanism of anthocyanin synthesis in purple leaf pepper (Capsicum annuum L.) under different light intensities. |
| [141] |
Alrifai O, Mats L, Liu R, Hao X, Marcone MF, et al. 2021. Effect of combined light-emitting diodes on the accumulation of glucosinolates in Brassica microgreens. |
| [142] |
Kitazaki K, Fukushima A, Nakabayashi R, Okazaki Y, Kobayashi M, et al. 2018. Metabolic reprogramming in leaf lettuce grown under different light quality and intensity conditions using narrow-band LEDs. |
| [143] |
Frutos-Totosa A, Hernández-Adasme C, Martínez V, Mestre T, Díaz-Mula HM, et al. 2023. Light spectrum effects on rocket and lamb’s lettuce cultivated in a vertical indoor farming system. |
| [144] |
Sun J, Zhang M, Kubzdela N, Luo Y, Harnly JM, et al. 2018. Determination of variance of secondary metabolites in lettuces grown under different light sources by flow injection mass spectrometric (FIMS) fingerprinting and ANOVA–PCA. |
| [145] |
Xiao F, Wang X, Liu S. 2022. Metabolite accumulation and inhibition of hypocotyl elongation by blue light induction in Amaranthus tricolor L. |
| [146] |
Taulavuori K, Hyöky V, Oksanen J, Taulavuori E, Julkunen-Tiitto R. 2016. Species-specific differences in synthesis of flavonoids and phenolic acids under increasing periods of enhanced blue light. |
| [147] |
Mao P, Li Q, Li Y, Xu Y, Yang Q, et al. 2022. The beneficial functions of blue light supplementary on the biosynthesis of glucosinolates in pakchoi (Brassica rapa L. ssp. chinensis) under greenhouse conditions. |
| [148] |
Wargent JJ, Nelson BC, McGhie TK, Barnes PW. 2015. Acclimation to UV-B radiation and visible light in Lactuca sativa involves up-regulation of photosynthetic performance and orchestration of metabolome-wide responses. |
| [149] |
Almuziny M, Decker C, Wang D, Gerard P, Tharayil N. 2017. Nutrient supply and simulated herbivory differentially alter the metabolite pools and the efficacy of the glucosinolate-based defense system in Brassica Species. |
| [150] |
Liu X, Yang X, Wang L, Duan Q, Huang D. 2016. Comparative analysis of metabolites profile in spinach (Spinacia oleracea L.) affected by different concentrations of gly and nitrate. |
| [151] |
Steffensen SK, Pedersen HA, Labouriau R, Mortensen AG, Laursen B, et al. 2011. Variation of polyphenols and betaines in aerial parts of young, field-grown Amaranthus Genotypes. |