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Geisler Gleason posted an update 16 days ago
In addition, castor bean SAP gene expression varied in response to different stresses, including salt, drought, heat, cold and ABA and MeJA, suggesting that the transcriptional regulation of castor bean SAP genes might operate independently of each other, and at least partially independent from ABA and MeJA signal pathways. Cis-element analyses for each castor bean SAP gene showed that no common cis-elements are shared across the nine castor bean SAP genes. Castor bean SAPs were localized to different regions of cells, including the cytoplasm, nucleus, and cytomembrane. This study provides a comprehensive profile of castor bean SAP genes that advances our understanding of their potential physiological and molecular functions in regulating growth and development and their responses to different abiotic stresses.Compressed materials of fossil foliage described here as Itea polyneura sp. nov. (Iteaceae) were collected from the Oligocene of Wenshan, Yunnan Province, southwestern China. The identification is based on the following characters eucamptodromous secondary veins, strict scalariform tertiary veins, irregular tooth with setaceous apex. The leaf morphology of all modern and fossil species was compared with the new species from Wenshan and show that I. polyneura is most similar to the extant East Asian species Itea omeiensis, which inhabits subtropical forests of southern China. This discovery represents the first unambiguous leaf fossil record of Itea in East Asia. Together with other species in the Wenshan flora and evidence from several other flora in southern China, these findings demonstrate that Itea from East Asia arose with the Paleogene modernization.Of all types of interactions between humans and plants, the utilization of plants by people is the most direct and influential. China has a long history of using native plants and a large body of recorded knowledge on uses. Here, we present an inventory of plant uses in China based on an extensive survey of the literature. Twelve categories of usage are recognized (medicinal, edible, etc.), these categories being chosen according to an integration of various current standards. A total of 50,521 use-citations were recorded, covering 10,808 species and infraspecies, representing 28% of the Chinese flora. Additional information is included in the dataset on taxonomy and endangerment status. Analysis of the data reveals that the eight plant families with the greatest numbers of species used in China, namely Asteraceae, Fabaceae, Rosaceae, Ranunculaceae, Poaceae, Lamiaceae, Orchidaceae, and Liliaceae, are also the top eight most species-rich Chinese plant families. However, there are some families that are over-represented or under-representation in certain use categories, compared with their relative abundance in the total flora. There are indications that rare and endangered species are being subject to some degree of over-exploitation. A disproportionately high number of used species are Chinese endemics (3552 species, representing over 33% of used species). A total of 20% of used species have been classified as threatened nationally or globally, according to at least one of the various threat assessments that have been made for the Chinese flora. This comprehensive inventory of the useful plants of China, with relevant ethnobotanical information included, provides a baseline for further studies of plant resources. It will be useful in follow-up research. The scientific dataset it contains will be useful for the protection and sustainable utilization of plant resources in China.Two varieties of Bouteloua aristidoides have been recognized, the widespread var. aristidoides and the more narrowly distributed var. arizonica. The two varieties differ in inflorescence form even more than that seen between many other closely related species of Bouteloua. We therefore asked whether these taxa might be better regarded as distinct species. A total of 93 vouchers were studied by using morphometry (principal components analysis and statistical tests), leaf micromorphology, ancestral state reconstruction, and/or molecular (ITS, trnC-rpoB and trnT-L-F) phylogenetic analyses. Except from the ITS tree, all results supported elevation of B. aristidoides var. arizonica to the rank of species, thus the new combination Bouteloua arizonica (M.E. Jones) L.F. Cuellar & Columbus comb. nov. et stat. nov., is proposed. Chloroplast and combined chloroplast-nuclear molecular trees depicted var. arizonica as monophyletic (even in sympatric populations with var. aristidoides) and reveals phylogenetic structure within var. aristidoides for which the presence of new undescribed varieties of B. aristidoides (different from B. ACT-132577 arizonica) is addressed. B. arizonica differs from B. aristidoides in having fewer branches per inflorescence, a bigger branch with more spikelets, and a shorter branch extension. Scanning electron microscopy revealed the presence of papillae on leaves of B. arizonica as a clear synapomorphy. Growing mature plants of B. arizonica from seeds in a greenhouse revealed a strong cleistogamous nature for this species for which gene flow in sympatric populations with B. aristidoides seems unlikely. A taxonomic treatment and distribution map for identification of B. arizonica is provided.Madagascar, a globally renowned biodiversity hotspot characterized by high rates of endemism, is one of the few remaining refugia for many plants and animal species. However, global climate change has greatly affected the natural ecosystem and endemic species living in Madagascar, and will likely continue to influence species distribution in the future. Madagascar is home to six endemic baobab (Adansonia spp., Bombacoideae [Malvaceae]) species (Adansonia grandidieri, A. suarezensis, A. madagascariensis, A. perrieri, A. rubrostipa, A. za), which are remarkable and endangered plants. This study aimed to model the current distribution of suitable habitat for each baobab species endemic to Madagascar and determine the effect that climate change will have on suitable baobab habitat by the years 2050 and 2070. The distribution was modeled using MaxEnt based on locality information of 245 occurrence sites of six species from both online database and our own field work. A total of seven climatic variables were used for the modeling process.