Flavonoid Profile of the Cotton Plant, Gossypium hirsutum: A Review

Nix, Aaron; Paull, Cate; Colgrave, Michelle L.

doi:10.3390/plants6040043

Cited by 61 publications

(49 citation statements)

References 75 publications

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“…Dihydrowyerone acid is a phytoalexin, [37] and 4-Hydroxynonenal is an end product of lipid peroxidation [38]. Stigmasterol was also accumulated in mock inoculated resistant variety, which is an intrinsically existing secondary compound in cotton plant [4]. Elevated levels of fatty acids in resistant cultivar under stress conditions are in accordance with previous findings which suggest their role in signal transduction [39].…”

Section: Discussionsupporting

confidence: 89%

“…In addition to fiber, cotton seed offers a supplemental income and it is a source of protein for human and animal nutrition. G. hirsutum is the most commonly grown cotton species and it is native to Mexico and Central America [4]. Cross breeding between diverse upland varieties helped the introduction of upland cotton in different areas of the world [5].…”

Section: Introductionmentioning

confidence: 99%

“…Metabolomics profiling of cotton reveals that different species of genus Gossypium have different quantities of glycosides, such as, rhamnoglucosides are more abundant in G. hirsutum but are found in trace amounts in G. barbadense whereas kaempferol-3-glucoside and quercetin-7-glycosides are widely present in G. barbadense, in comparison to G. hirsutum [21]. Quercitin, kaempferol, bhenic acid, quercetin-3-rhamnoglucoside, catechin, epicatechin, scopoletin, gallocatechin, cinnamic acid, gossypol and stigmasterol are the known naturally occurring secondary metabolites of G. hirsutum [4]. The leaves of G. hirsutum contain 19 flavonoids spanning five different classes however there are no reports of flavones and chalcones or aurones from G. hirsutum.…”

Section: Introductionmentioning

confidence: 99%

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Resistance associated metabolite profiling of Aspergillus leaf spot in cotton through non-targeted metabolomics

et al. 2020

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Aspergillus tubingensis is an important pathogen of economically important crops. Different biotic stresses strongly influence the balance of metabolites in plants. The aim of this study was to understand the function and response of resistance associated metabolites which, in turn are involved in many secondary metabolomics pathways to influence defense mechanism of cotton plant. Analysis of non-targeted metabolomics using ultra high performance liquid chromatography-mass spectrometry (UPLC-MS) revealed abundant accumulation of key metabolites including flavonoids, phenylpropanoids, terpenoids, fatty acids and carbohydrates, in response to leaf spot of cotton. The principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and partial least squares discriminant analysis (PLS-DA) score plots illustrated the evidences of variation between two varieties of cotton under mock and pathogen inoculated treatments. Primary metabolism was affected by the up regulation of pyruvate and malate and by the accumulation of carbohydrates like cellobiose and inulobiose. Among 241 resistance related (RR) metabolites, 18 were identified as resistance related constitutive (RRC) and 223 as resistance related induced (RRI) metabolites. Several RRI metabolites, identified in the present study were the precursors for many secondary metabolic pathways. These included phenylpropanoids (stilbenes and furanocoumarin), flavonoids (phlorizin and kaempferol), alkaloids (indolizine and acetylcorynoline) and terpenoids (azelaic acid and oleanolic acid). Our results demonstrated that secondary metabolism, primary metabolism and energy metabolism were more active in resistant cultivar, as compared to sensitive cultivar. Differential protein and fatty acid metabolism was also depicted in both cultivars. Accumulation of these defense related metabolites in resistant cotton cultivar and their suppression in susceptible cotton cultivar revealed the reason of their respective tolerance and susceptibility against A. tubingensis.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Resistance associated metabolite profiling of Aspergillus leaf spot in cotton through non-targeted metabolomics

et al. 2020

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“…In particular, differences in light intensity between the two environments likely influenced the relative contributions of NAR and SLA to RGR. Additional differences in environmental conditions such as the influence of wind (Baker et al, 2009), the effect of ultraviolet light (Dehariya et al, 2011), and the need for investment in defense-related metabolites (Olson et al, 2008;Nix et al, 2017) are also known to influence plant growth and could have contributed to the differences observed between the greenhouse and field conditions. In previous studies, similar results were found in that RGR differences were ascribed only to NAR (Eagles, 1967;Pons, 1977), only to LAR (Higgs and James, 1969;Dijkstra, 1989;Smeets and Garretsen, 1986), or to both NAR and LAR together (Jarvis and Jarvis, 1964;Corrẽ, 1983).…”

Section: Discussionmentioning

confidence: 99%

“…Loveys et al (2002) studied 16 different plant species including trees, shrubs, grasses, and forbs and reported that under moderate (23°C) or high temperatures (28°C), SLA was the most important factor affecting RGR, whereas at lower temperature (18°C), NAR was the more important determinant of RGR. Additional differences in environmental conditions such as the influence of wind (Baker et al, 2009), the effect of ultraviolet light (Dehariya et al, 2011), and the need for investment in defense-related metabolites (Olson et al, 2008;Nix et al, 2017) are also known to influence plant growth and could have contributed to the differences observed between the greenhouse and field conditions. Additional research would be necessary to ascertain the reasons underlying the environmental effects observed in the present study.…”

Section: Discussionmentioning

confidence: 99%

Morphological Traits Underlying Differences in Early Vigor among Four Cotton Genotypes

et al. 2019

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In comparison with other annual crops, cotton (Gossypium hirsutum L.) seedlings develop slowly after emergence. More rapid seedling development can provide advantages in limiting disease, insect, and weed impacts on cotton seedlings. Information on the mechanisms determining early vigor in cotton is limited. Therefore, three genotypes previously identified to differ in seedling vigor and one commercial cultivar were selected for detailed characterization of early growth in greenhouse and field conditions. Growing environment and genotype effects were significant for many of the measured traits. Environmental conditions prevailing in field and greenhouse conditions differentially affected seedling growth, including cotyledon biomass, root weight ratio (RWR), net assimilation rate (NAR), and specific leaf area (SLA). Genotypic differences were found in one or both environments for cotyledon area, area of the first leaf, total leaf area, and leaf, stem, root, and total biomass. Leaf weight ratio (LWR), stem weight ratio (SWR), RWR, LAR, and SLA differed among genotypes at most stages, but this was not the case for relative growth rate and NAR. The high‐vigor genotype generally had longer roots, larger cotyledons, greater cotyledon, stem, and total biomass, and greater SWR and RWR than the low‐vigor genotype. The low‐vigor genotype had the greatest LAR, SLA, and LWR among the four genotypes. Results obtained in this study suggest that factors such as the efficiency of photoassimilate conversion into biomass, energy density of the biomass, root carbon exudation, and/or photosynthetic rates differ between the low‐vigor and high‐vigor genotypes.

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Bottom‐up control of geographic variation in insect herbivory on wild cotton (Gossypium hirsutum) by plant defenses and climate

Abdala‐Roberts

Quijano‐Medina

Moreira

et al. 2019

American J of Botany

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Premise of study: It has long been recognized that the occurrence and impact of herbivory is shaped by bottom-up forces, primarily plant traits (e.g. defenses) as well as by abiotic factors. Addressing these concurrent effects under a spatial context has been useful in efforts to understand the mechanisms governing variation in plant-herbivore interactions.Still, few studies have evaluated the simultaneous influence of different sources of bottomup variation on spatial variation in herbivory. Methods:We tested to what extent plant chemical (phenolics, gossypol glands) and physical (pubescence) defensive traits and climatic factors are associated with variation in herbivory by leaf-chewing insects among populations of wild cotton (Gossypium hirsutum).Key results: We found substantial variation among cotton populations in leaf defenses and insect leaf herbivory. Leaf pubescence (trichome density), but not gossypol gland density or phenolic content, was significantly negatively associated with herbivory by leaf-chewing insects. In addition, there were direct effects of climate on defenses and herbivory, with leaf pubescence increasing towards drier conditions and leaf damage increasing towards wetter and cooler conditions. There was no evidence, however, of indirect effects (via plant defenses) of climate on herbivory.Conclusions: Spatial variation in insect herbivory on wild G. hirsutum appears to be predominantly driven by concurrent and independent influences of population variation in leaf pubescence and climatic factors.

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Flavonoid Profile of the Cotton Plant, Gossypium hirsutum: A Review

Cited by 61 publications

References 75 publications

Resistance associated metabolite profiling of Aspergillus leaf spot in cotton through non-targeted metabolomics

Resistance associated metabolite profiling of Aspergillus leaf spot in cotton through non-targeted metabolomics

Morphological Traits Underlying Differences in Early Vigor among Four Cotton Genotypes

Bottom‐up control of geographic variation in insect herbivory on wild cotton (Gossypium hirsutum) by plant defenses and climate

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