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83 results for “Helianthus annuus”
Shortgrass Steppe site, station Treatment 3 (nitrogen addition) for ESA study, study of plant density of Helianthus annuus in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density of Helianthus annuus measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Treatment 4 (water and nitrogen addition) for ESA study, study of plant density of Helianthus annuus in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density of Helianthus annuus measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Treatment 4 (grubs killed) for ESA study, study of plant density of Helianthus annuus in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density of Helianthus annuus measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Data from: Genome wide association mapping of floral traits in cultivated sunflower (Helianthus annuus)
Floral morphology and pigmentation are both charismatic and economically relevant traits associated with cultivated sunflower (Helianthus annuus L.). Recent work has linked floral morphology and pigmentation to pollinator efficiency and seed yield. Understanding the genetic architecture of such traits is essential for crop improvement, and gives insight into the role of genetic constraints in shaping floral diversity. A diversity panel of 288 sunflower genotypes was phenotyped for a variety of morphological, phenological, and color traits in both a greenhouse and a field setting. Association mapping was performed using 5788 SNP markers using a mixed linear model approach. Several dozen markers across ten linkage groups were significantly associated with variation in morphological and color trait variation. Substantial trait plasticity was observed between greenhouse and field phenotyping, and associations differed between environments. Color traits mapped more strongly than morphology in both settings, with markers together explaining 16% of petal carotenoid content in the greenhouse, and 17% and 24% of variation in disc anthocyanin presence in the field and greenhouse, respectively. Morphological traits like disc size mapped more strongly in the field, with markers together explaining up to 19% of disc size variation. Loci identified here through association mapping within cultivated germplasm differ from those identified through biparental crosses between modern cultivated sunflower and either its wild progenitor or domesticated landraces. Several loci lie within genomic regions involved in domestication. Differences between phenotype expression under greenhouse and field conditions highlight the importance of plasticity in determining floral morphology and pigmentation.
Fig. 7 in Identification and characterization of two bisabolene synthases from linear glandular trichomes of sunssower (Helianthus annuus L., Asteraceae)
Fig. 7. Phylogenetic analysis and partial sequence comparison. (A) Phylogenetic tree based on 27 plant STSs. (Z)-γ-bisabolol synthases from sunssower and Arabidopsis thaliana are boxed, and bootstrap values are given in each node. Gymnosperm Abies grandis STSs were used to serve as a root. Sequences used (but not described in the Figure) are: GhCDS, δ-cadinene synthase [Gossypium hirsutum]; GaCDS δ-cadinene synthase [Gossypium arboreum]; CsAFS, α-farnesene synthase [Cucumis sativus]; CsCS, δ- caryophyllene synthase [Cucumis sativus]; CsVS, valencene synthase [Citrus sinensis]; CjFS, δ-farnesene synthase [Citrus junos]; ObGDS, germacrene D synthase [Ocimum basilicum]; CmCDS, δ-cadinene synthase [Cucumis melo]; CmAFS, α-farnesene synthase [Cucumis melo]; CaEAS, 5-epi-aristolochene synthase [Capsicum annuum]; AaGAS, germacrene A synthase [Artemisia annua]; AtCS, δ-caryophyllene synthase [Arabidopsis thaliana]; AtATP12 (Z)-γ-bisabolene synthase 1 [Arabidopsis thaliana]; AtTPS13 (Z)-γ- bisabolene synthase 2 [Arabidopsis thaliana]; AtBAS α-barbatene synthase [Arabidopsis thaliana]; ObCDS γ-cadinene synthase [Ocimum basilicum]; AmNS nerolidol synthase [Antirrhinum majus]; LaBERS α-bergamotene synthase [Lavandula angustifolia]; AgHS γ-humulene synthase [Abies grandis]; AgSS δ-selinene synthase [Abies grandis]. (B) Amino acid sequences neighboring the Y402 residue of A. annua β-farnesene synthase are compared among the clustered STSs (β-farnesene, α-bisabolol, amorpha-4,11-diene synthases, see the bracket in A). Accession numbers of HaTPS12_K7 and HaTPS12_K11 are KU674381 and KU674382, respectively.
Fig. 6 in Identification and characterization of two bisabolene synthases from linear glandular trichomes of sunssower (Helianthus annuus L., Asteraceae)
Fig. 6. Observed longrange coupling (solid arrow) and nuclear overhauser effects (dotted arrow) in COSY and ROESY 1H NMR 2D experiments with the purified enzyme product cis-γ-bisabolene.
Fig. 5 in Identification and characterization of two bisabolene synthases from linear glandular trichomes of sunssower (Helianthus annuus L., Asteraceae)
Fig. 5. Quantification of cis-γ-bisabolene produced in yeast expression experiments with HaTPS12_K7 und HaTPS12_K11 and the corresponding N-terminal thioredoxion fusion (Trx) constructs. The values represent means and standard deviations of n = 5 independent experiments; different letters indicate statistical significance at the level of p> 0.05.
Fig. 3 in Identification and characterization of two bisabolene synthases from linear glandular trichomes of sunssower (Helianthus annuus L., Asteraceae)
Fig. 3. GC–MS analysis of sesquiterpene products of the in vivo expression of HaTPS12_K7 and HaTPS12_K11 in S. cerevisiae EPY300. The GC diagrams show metabolite profiles of extracts from yeast cultures transformed with the candidate genes in the high-level expression plasmid pESCLeu2d in compared to a yeast train transformed with the empty vector (NC, negative control). Mass spectra of the identified peak A (γ-bisabolene) and B (farnesyl/nerolidol) are shown.
Fig. 1 in Identification and characterization of two bisabolene synthases from linear glandular trichomes of sunssower (Helianthus annuus L., Asteraceae)
Fig. 1. Bisabolene-type sesquiterpenes reported from sunssower Helianthus annuus (Spring et al., 1992; Macias et al., 1999).
Fig. 2 in Identification and characterization of two bisabolene synthases from linear glandular trichomes of sunssower (Helianthus annuus L., Asteraceae)
Fig. 2. Alignment of the deduced amino acid sequences of bisabolene synthase genes HaTPS12_K7 and HaTPS12_K11 from linear glandular trichomes of sunssower. Boxes: typical amino acid sequence motives of sesquiterpene synthases (RxR and DDxxD motive). Arrows: amino acid differences between the two enzyme isoforms.
Fig. 4 in Identification and characterization of two bisabolene synthases from linear glandular trichomes of sunssower (Helianthus annuus L., Asteraceae)
Fig. 4. GC analysis of sesquiterpene products from in vivo expression of HaTPS12_K7Trx and HaTPS12_K11Trx in S. cerevisiae EPY300 compared to HaTPS12_K7 and HaTPS12_K11.A (γ-bisabolene), B (farnesyl/nerolidol).
Helianthus annuus (Asteraceae) - leaf - on upper stem
Image of Helianthus annuus (Asteraceae) - leaf - on upper stem
Helianthus annuus (Asteraceae) - inflorescence - lateral view of flower
Image of Helianthus annuus (Asteraceae) - inflorescence - lateral view of flower
Helianthus annuus (Asteraceae) - inflorescence - unspecified
Image of Helianthus annuus (Asteraceae) - inflorescence - unspecified
Helianthus annuus (Asteraceae) - inflorescence - unspecified
Image of Helianthus annuus (Asteraceae) - inflorescence - unspecified
Helianthus annuus (Asteraceae) - stem - showing leaf bases
Image of Helianthus annuus (Asteraceae) - stem - showing leaf bases
Helianthus annuus (Asteraceae) - inflorescence - ventral view of flower + perianth
Image of Helianthus annuus (Asteraceae) - inflorescence - ventral view of flower + perianth
Helianthus annuus (Asteraceae) - stem - showing leaf bases
Image of Helianthus annuus (Asteraceae) - stem - showing leaf bases
Helianthus annuus (Asteraceae) - whole plant - in flower - general view
Image of Helianthus annuus (Asteraceae) - whole plant - in flower - general view
Helianthus annuus (Asteraceae) - inflorescence - whole - unspecified
Image of Helianthus annuus (Asteraceae) - inflorescence - whole - unspecified
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