Grevilline D
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Category | Others |
Catalog number | BBF-01284 |
CAS | 54707-49-2 |
Molecular Weight | 356.28 |
Molecular Formula | C18H12O8 |
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Description
It is produced by the strain of Suillus grevillei, Suillus luteus, Suillus granulatus. It's a pigment produced by fungi.
Specification
Synonyms | 3-Hydroxy-4-(2,5-dihydroxyphenyl)-6-[(3,4-dihydroxyphenyl)methylene]-2H-pyran-2,5(6H)-dione |
IUPAC Name | (6Z)-4-(2,5-dihydroxyphenyl)-6-[(3,4-dihydroxyphenyl)methylidene]-5-hydroxypyran-2,3-dione |
Canonical SMILES | C1=CC(=C(C=C1C=C2C(=C(C(=O)C(=O)O2)C3=C(C=CC(=C3)O)O)O)O)O |
InChI | InChI=1S/C18H12O8/c19-9-2-4-11(20)10(7-9)15-16(23)14(26-18(25)17(15)24)6-8-1-3-12(21)13(22)5-8/h1-7,19-23H/b14-6- |
InChI Key | QKEFFIMFIWJNDJ-NSIKDUERSA-N |
Properties
Appearance | Orange to Orange-Red compound |
Melting Point | 300 °C (dec.) |
Solubility | Soluble in Methanol |
Reference Reading
1. Plant Diversity and Fertilizer Management Shape the Belowground Microbiome of Native Grass Bioenergy Feedstocks
Daniel Revillini, Gail W T Wilson, R Michael Miller, Ryan Lancione, Nancy Collins Johnson Front Plant Sci. 2019 Aug 14;10:1018. doi: 10.3389/fpls.2019.01018. eCollection 2019.
Plants may actively cultivate microorganisms in their roots and rhizosphere that enhance their nutrition. To develop cropping strategies that substitute mineral fertilizers for beneficial root symbioses, we must first understand how microbial communities associated with plant roots differ among plant taxa and how they respond to fertilization. Arbuscular mycorrhizal (AM) fungi and rhizobacteria are of particular interest because they enhance nutrient availability to plants and perform a suite of nutrient cycling functions. The purpose of this experiment is to examine the root and soil microbiome in a long-term switchgrass (Panicum virgatum) biofuel feedstock experiment and determine how AM fungi and rhizobacteria respond to plant diversity and soil fertility. We hypothesize that intra- and interspecific plant diversity, nitrogen fertilization (+N), and their interaction will influence the biomass and community composition of AM fungi and rhizobacteria. We further hypothesize that +N will reduce the abundance of nitrogenase-encoding nifH genes on the rhizoplane. Roots and soils were sampled from three switchgrass cultivars (Cave-in-Rock, Kanlow, Southlow) grown in monoculture, intraspecific mixture, and interspecific planting mixtures with either Andropogon gerardii or diverse native tallgrass prairie species. Molecular sequencing was performed on root and soil samples, fatty acid extractions were assessed to determine microbial biomass, and quantitative polymerase chain reaction (qPCR) was performed on nifH genes from the rhizoplane. Sequence data determined core AM fungal and bacterial microbiomes and indicator taxa for plant diversity and +N treatments. We found that plant diversity and +N influenced AM fungal biomass and community structure. Across all plant diversity treatments, +N reduced the biomass of AM fungi and nifH gene abundance by more than 40%. The AM fungal genus Scutellospora was an indicator for +N, with relative abundance significantly greater under +N and in monoculture treatments. Community composition of rhizobacteria was influenced by plant diversity but not by +N. Verrucomicrobia and Proteobacteria were the dominant bacterial phyla in both roots and soils. Our findings provide evidence that soil fertility and plant diversity structure the root and soil microbiome. Optimization of soil communities for switchgrass production must take into account differences among cultivars and their unique responses to shifts in soil fertility.
2. Microbiome-mediated response to pulse fire disturbance outweighs the effects of fire legacy on plant performance
Daniel Revillini, Aaron S David, Eric S Menges, Kevin N Main, Michelle E Afkhami, Christopher A Searcy New Phytol. 2022 Mar;233(5):2071-2082. doi: 10.1111/nph.17689. Epub 2021 Sep 18.
Fire plays a major role in structuring plant communities across the globe. Interactions with soil microbes impact plant fitness, scaling up to influence plant populations and distributions. Here we present the first factorial manipulation of both fire and soil microbiome presence to investigate their interactive effects on plant performance across a suite of plant species with varying life history traits. We conducted fully factorial experiments on 11 species from the Florida scrub ecosystem to test plant performance responses to soils with varying fire histories (36 soil sources), the presence/absence of a microbiome, and exposure to an experimental burn. Results revealed interactive 'pulse' effects between fire and the soil microbiome on plant performance. On average, post-fire soil microbiomes strongly reduced plant productivity compared to unburned or sterilized soils. Interestingly, longer-term fire 'legacy' effects had minor impacts on plant performance and were unrelated to soil microbiomes. While pulse fire effects on plant-microbiome interactions are short-term, they could have long-term consequences for plant communities by establishing differential microbiome-mediated priority effects during post-disturbance succession. The prominence of pulse fire effects on plant-microbe interactions has even greater import due to expected increases in fire disturbances resulting from anthropogenic climate change.
3. Tripartite mutualisms as models for understanding plant-microbial interactions
Michelle E Afkhami, Brianna K Almeida, Damian J Hernandez, Kasey N Kiesewetter, Daniel P Revillini Curr Opin Plant Biol. 2020 Aug;56:28-36. doi: 10.1016/j.pbi.2020.02.003. Epub 2020 Apr 1.
All plants host diverse microbial assemblages that shape plant health, productivity, and function. While some microbial effects are attributable to particular symbionts, interactions among plant-associated microbes can nonadditively affect plant fitness and traits in ways that cannot be predicted from pairwise interactions. Recent research into tripartite plant-microbe mutualisms has provided crucial insight into this nonadditivity and the mechanisms underlying plant interactions with multiple microbes. Here, we discuss how interactions among microbial mutualists affect plant performance, highlight consequences of biotic and abiotic context-dependency for nonadditive outcomes, and summarize burgeoning efforts to determine the molecular bases of how plants regulate establishment, resource exchange, and maintenance of tripartite interactions. We conclude with four goals for future tripartite studies that will advance our overall understanding of complex plant-microbial interactions.
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Bio Calculators
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Concentration (start) x Volume (start) = Concentration (final) x Volume (final)
It is commonly abbreviated as: C1V1 = C2V2
* Total Molecular Weight:
g/mol
Tip: Chemical formula is case sensitive. C22H30N4O √ c22h30n40 ╳