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"Flowering trees."
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Characteristics of BVOCs from Fragrant Flowering Trees and Their Emission Along Urban Roadsides in Shanghai, China
Flowering street trees provide ecological services and health benefits to humans. In this study, three commonly used flowering street trees, Paulownia tomentosa (Thunb.) Steud., Melia azedarach L., and Magnolia grandiflora L., were selected for analysis of floral volatiles during different flowering stages along roadsides in Shanghai, China. Headspace sampling solid-phase microextraction (HS–SPME) coupled with gas chromatography–mass spectrometry (GC–MS) was used to identify volatiles from different floral samples. Simultaneously, selected-ion flow-tube mass spectrometry (SIFT–MS) was employed to detect biogenic volatile organic compounds (BVOCs) in roadside air samples. The results indicated that (1) P. tomentosa volatiles consisted predominantly of alcohols and phenolic ethers, M. azedarach volatiles consisted primarily of alcohols and aldehydes, and M. grandiflora volatiles consisted mainly of terpenes. (2) Air samples from P. tomentosa and M. azedarach were dominated by alcohols, whereas air samples from M. grandiflora were dominated by terpenes and aldehydes. The ozone formation potential (OFP) of some VOCs fluctuated throughout the flowering period. (3) Antibacterial and antioxidant volatiles released from the flowers of all species, such as eugenol, have demonstrated health-promoting effects in essential oils. The results of this study provide a foundation for optimizing the selection and planting of flowering street trees in urban roadside areas that will enhance ecological services and public health benefits.
Journal Article
SsMYB113, a Schima superba MYB transcription factor, regulates the accumulation of flavonoids and functions in drought stress tolerance by modulating ROS generation
Aims
R
2
R
3
-type MYB transcription factors are associated with diverse developmental processes and responses to abiotic stresses. However, there is limited information regarding drought-responsive R
2
R
3
-MYB in a widespread subtropical tree species,
Schima superba
. Hence, the purpose of this study was to identify and functionally characterize the role of SsMYB113 in
S. superba
under drought stress.
Results
SsMYB113, a novel R
2
R
3
-MYB transcription factor that was targeted to the nucleus in
Arabidopsis thaliana
protoplasts, functioned as a transcriptional activator during in vitro and in vivo assays.
SsMYB113
transcript was abundant in the leaves of six-month-old
S. superba
, and was significantly up-regulated by PEG-simulated drought stress and abscisic acid (ABA). Overexpression of
SsMYB113
in
A. thaliana
seedlings led to enhanced tolerance to drought stress and facilitated flavonoid biosynthesis and ABA accumulation, including of corresponding biosynthetic genes, particularly
SsCHS
and
SsNCED
. Furthermore, SsMYB113 was shown to bind directly to the promoters of
SsCHS
and
SsNCED
using Y1H and a dual-LUC assay, thus activating their expression. In addition, in
SsMYB113
-overexpressing lines, proline, water content, superoxide dismutase, and peroxidase activities increased, while malondialdehyde, electrolyte leakage, and the rate of superoxide production decreased, suggesting the explicit role of SsMYB113 in conferring drought tolerance.
Conclusions
Drought-responsive SsMYB113 functioned as a positive regulator by participating in flavonoid and ABA biosynthesis, thereby enhancing drought stress tolerance in indigenous fast-growing
S. superba
.
Journal Article
In blossom
\"One day, a cat and dog meet on a bench. The cat eats her lunch. The dog reads his book. But the sun twinkles, the breeze blows, and there's something sweet in the air. This is a beautifully illustrated story of the joys of spring and finding a new friend.\"--Amazon.
Book
Landscape and Ecological Benefits Evaluation of Flowering Street Trees Based on Digital Technology: A Case Study in Shanghai’s Central Urban Area, China
Flowering street trees are important carriers of urban landscapes and ecological functions, as well as a significant boost to the construction of “Shanghai Flower City”. Most existing studies focus on the ornamental value or single ecological benefits, and there are insufficient systematic evaluations of the landscape–ecology synergistic effect, especially as there are few quantitative studies on the landscape value during the flowering period and long-term ecological benefits. Scientific assessment of multiple benefits is of great significance for optimizing tree species allocation and enhancing the sustainability of road landscapes. Taking flowering street trees in Shanghai’s central urban area as a case study, this paper verifies the feasibility of using digital technology to evaluate their landscape and ecological benefits and explores ways to enhance these aspects. Landscape, ecological, and comprehensive benefits were quantitatively assessed using digital images, the i-Tree model, and the entropy-weighted method. Influencing factors for each aspect were also analyzed. The results showed the following: (1) Eleven species or cultivars of flowering street trees from six families and ten genera were identified, with the majority flowering in spring, fewer in summer and autumn, and none in winter. (2) The landscape benefits model was: Scenic Beauty Estimation (SBE) = −0.99 + 0.133 × Flowering branches+ 0.183 × Degree of flower display + 0.064 × Plant growth + 0.032 × Artistic conception + 0.091 × Visual harmony with surrounding elements. Melia azedarach L., Prunus × yedoensis ‘Somei-yoshino’, and Paulownia tomentosa (Thunb.) Steud. ranked highest in landscape benefits. (3) Catalpa bungei C. A. Mey., Koelreuteria bipinnata Franch., and Koelreuteria bipinnata ‘integrifoliola’ (Merr.) T.Chen had the highest plant height, diameter at breast height (DBH), and crown width among the studied trees, and ranked top in ecological benefits. (4) Koelreuteria bipinnata, Catalpa bungei, and Melia azedarach showed the best overall performance. The comprehensive benefits model was: Comprehensive Benefits = 0.6889 × Ecological benefits + 0.3111 × Landscape benefits. This study constructs a digital evaluation framework for flowering street trees, quantifies their landscape and ecological benefits, and provides optimization strategies for the selection and application of flowering trees in urban streets.
Journal Article
PEP1 regulates perennial flowering in Arabis alpina
Annual plants complete their life cycle in one year and initiate flowering only once, whereas perennials live for many years and flower repeatedly. How perennials undergo repeated cycles of vegetative growth and flowering that are synchronized to the changing seasons has not been extensively studied. Flowering is best understood in annual Arabidopsis thaliana, but many closely related species, such as Arabis alpina, are perennials. We identified the A. alpina mutant perpetual flowering 1 (pep1), and showed that PEP1 contributes to three perennial traits. It limits the duration of flowering, facilitating a return to vegetative development, prevents some branches from undergoing the floral transition allowing polycarpic growth habit, and confers a flowering response to winter temperatures that restricts flowering to spring. Here we show that PEP1 is the orthologue of the A. thaliana gene FLOWERING LOCUS C (FLC). The FLC transcription factor inhibits flowering until A. thaliana is exposed to winter temperatures, which trigger chromatin modifications that stably repress FLC transcription. In contrast, PEP1 is only transiently repressed by low temperatures, causing repeated seasonal cycles of repression and activation of PEP1 transcription that allow it to carry out functions characteristic of the cyclical life history of perennials. The patterns of chromatin modifications at FLC and PEP1 differ correlating with their distinct expression patterns. Thus we describe a critical mechanism by which flowering regulation differs between related perennial and annual species, and propose that differences in chromatin regulation contribute to this variation.
Journal Article
Pollen season trends in winter flowering trees in South Spain
The present work has studied the trends in pollen seasons of winter flowering trees (Alnus, Cupressaceae, Fraxinus, Populus and Ulmus) in Córdoba, Granada and Málaga (Andalusian, Spain) over the years 1994-2017. The influence of meteorological parameters in the seasonal airborne pollen has been also analyzed. Pollen concentrations were recorded using Hirst-type volumetric spore traps, following the standardized methodology of the Spanish Aerobiology Network (REA) and the European Aerobiology Society (EAS). The non-parametric Mann-Kendall test and the non-parametric Sen’s method have been used to study linear trends for pollen season timing and intensity, and for temperature and rainfall. Significance was determined using the F-test. Spearman analyses were applied to test for correlations between pollen season parameters and weather-related factors before and over the pollen season. The results obtained suggest that flowering has delayed over recent years, especially for trees with a bloom closer to spring (poplar and elm). Earlier flowering species are more influenced by the meteorological parameters before the flowering. However, species blooming later are more influenced by the meteorological parameters during the pollen season. Meteorological parameters affect more to the interior cities than the coastal city.
Journal Article
Genotype, environment and their interaction effects on olive tree flowering phenology and flower quality
Flowering is one of the most critical processes in the reproductive phenology in fruit trees including olive. Under Mediterranean climate, olive flowering period normally occurs from early to late spring. Therefore, flowering time could be affected by environmental conditions such as water availability and temperature, thus influencing flower quality as well. Previous works have demonstrated the effect of genotype and environment on olive flowering, but those factors have never been compared in a single study nor their interaction evaluated. In the present work, we used a multi-environment trial established in four different agro-climatic conditions of Andalucía, Southern Spain, to test the genetic and environmental influences on flowering timing (flowering period, full bloom period, and full bloom date) and flower quality (flower number, perfect flower number and perfect flower percentage). Most of the variability found for flowering phenology parameters was due to environmental influence. On the contrary, for flowering quality parameters, most of the variability was of a genetic nature. In all cases, the genotype-environment interaction was significant. In this sense, the genotype by environment effects biplot model used to analyse the interaction showed that most of the genotypes evaluated have low stability for most of the parameters evaluated, except ‘Picual’ for flowering phenology parameters and ‘Koroneiki’ for quality. This emphasize the benefits of multi-environment trials on olive in order to select the best genotypes adapted to different environments and as a tool to face the future variability of environmental conditions caused by the climate-warming scenario. In conclusion, multi-environment trials allowed to efficiently quantify the effects of genetic and environmental factors and of their interaction on flowering phenology and on flower quality in olive.
Journal Article
Stability Analysis and Multi-Trait Selection of Flowering Phenology Parameters in Olive Cultivars Under Multi-Environment Trials
Flowering represents the most important process in the reproductive stage of fruit trees, including olive trees. Previous studies have demonstrated that the genotype–environment interaction (GEI) has a considerable influence on olive flowering time. This study investigated the GEI and genetic parameters influencing olive flowering phenology in Southwestern China (a non-Mediterranean region), using multi-trait-based stability selection methods. Sixteen olive cultivars from five countries were evaluated over two years in two distinct climatic regions of Southwestern China. Flowering phenology was assessed based on three parameters: full-bloom date (FBD), flowering-period length (FP), and full-bloom-period length (FBP). In the analyses, the best linear unbiased prediction (BLUP) to predict genetic value and genotype + genotype by environment interaction (GGE) biplot methods to visualize and assess stability and performance were employed across four environments. The results showed that genotype, environment, and GEI had highly significant effects on flowering traits, with GEI accounting for 54.12% to 89.62% of the variance. Heritability values were low (0.0589 to 0.262), indicating that genetic factors had limited control over flowering phenology compared to environmental factors. A stability analysis using a mean performance and stability (MPS) index identified genotypes with earlier flowering dates and longer flowering periods. Multi-trait selection using a multi-trait mean performance and stability (MTMPS) index further highlighted six superior genotypes with high performance and stability across environments. The findings emphasize the critical role of environmental factors on olive flowering phenology, highlighting the challenges in breeding for stable flowering traits. This study demonstrates the effectiveness of multi-trait selection methods in identifying genotypes with superior performance and stability under different environmental conditions. These results provide valuable insights for olive breeding programs, particularly in non-Mediterranean regions, suggesting that targeted selection and multi-trait evaluation could enhance the adaptability and productivity of olive cultivars under changing climatic conditions.
Journal Article