Institution
Universidade Federal de Viçosa
Education•Viçosa, Brazil•
About: Universidade Federal de Viçosa is a education organization based out in Viçosa, Brazil. It is known for research contribution in the topics: Population & Dry matter. The organization has 16012 authors who have published 26711 publications receiving 353416 citations.
Topics: Population, Dry matter, Germination, Species richness, Soil water
Papers published on a yearly basis
Papers
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TL;DR: The main applications of probiotic microorganisms in products of vegetable origin and the characteristics that enable the use of these food matrices as potential carriers of probiotics are reviewed.
216 citations
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TL;DR: The results demonstrate that rapid detoxification of potentially detrimental amino acids such as Lys is a priority during the initial stress recovery period and support a tight relationship between amino acid metabolism and stress responses.
Abstract: Plant responses to abiotic stress include various modifications in amino acid metabolism. By using a hydroponic culture system, we systematically investigate modification in amino acid profiles and the proteome of Arabidopsis thaliana leaves during initial recovery from low water potential or high salinity. Both treatments elicited oxidative stress leading to a biphasic stress response during recovery. Degradation of highly abundant proteins such as subunits of photosystems and ribosomes contributed to an accumulation of free amino acids. Catabolic pathways for several low abundant amino acids were induced indicating their usage as an alternative respiratory substrate to compensate for the decreased photosynthesis. Our results demonstrate that rapid detoxification of potentially detrimental amino acids such as Lys is a priority during the initial stress recovery period. The content of Pro, which acts as a compatible osmolyte during stress, was adjusted by balancing its synthesis and catabolism both of which were induced both during and after stress treatments. The production of amino acid derived secondary metabolites was up-regulated specifically during the recovery period, and our dataset also indicates increased synthesis rates of the precursor amino acids. Overall, our results support a tight relationship between amino acid metabolism and stress responses.
215 citations
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Universidade Federal de Minas Gerais1, Instituto Butantan2, Federal University of Paraná3, Universidade Federal de Viçosa4, National University of Singapore5, Pontifícia Universidade Católica de Minas Gerais6, Universidade Federal de Goiás7, Universidade Federal da Integração Latino-Americana8, Universidade Federal de Lavras9
TL;DR: The knowledge on species richness, species composition and endemism in the Brazilian biodiversity is strongly biased spatially, and despite differences in sampling effort for each taxonomic group, roadside bias affected them equally.
Abstract: Aim
The knowledge of biodiversity facets such as species composition, distribution and ecological niche is fundamental for the construction of biogeographic hypotheses and conservation strategies. However, the knowledge on these facets is affected by major shortfalls, which are even more pronounced in the tropics. This study aims to evaluate the effect of sampling bias and variation in collection effort on Linnean, Wallacean and Hutchinsonian shortfalls and diversity measures as species richness, endemism and beta-diversity.
Location
Brazil.
Methods
We have built a database with over 1.5 million records of arthropods, vertebrates and angiosperms of Brazil, based on specimens deposited in scientific collections and on the taxonomic literature. We used null models to test the collection bias regarding the proximity to access routes. We also tested the influence of sampling effort on diversity measures by regression models. To investigate the Wallacean shortfall, we modelled the geographic distribution of over 4000 species and compared their observed distribution with models. To quantify the Hutchinsonian shortfall, we used environmental Euclidean distance of the records to identify regions with poorly sampled environmental conditions. To estimate the Linnean shortfall, we measured the similarity of species composition between regions close to and far from access routes.
Results
We demonstrated that despite the differences in sampling effort, the strong collection bias affects all taxonomic groups equally, generating a pattern of spatially biased sampling effort. This collection pattern contributes greatly to the biodiversity knowledge shortfalls, which directly affects the knowledge on the distribution patterns of diversity.
Main conclusions
The knowledge on species richness, species composition and endemism in the Brazilian biodiversity is strongly biased spatially. Despite differences in sampling effort for each taxonomic group, roadside bias affected them equally. Species composition similarity decreased with the distance from access routes, suggesting collection surveys at sites far from roads could increase the probability of sampling new geographic records or new species.
215 citations
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TL;DR: It is demonstrated that the same biological conclusion is reached using different NGS technologies when stringent sequence quality filtering and accurate clustering algorithms are applied.
213 citations
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TL;DR: In this paper, a simultaneous optimization of different carrier agents and temperatures for the production of jaboticaba extracts by spray-drying microencapsulation was conducted, and the results showed that the highest desirability was achieved when 30% maltodextrin was used at 180 C.
212 citations
Authors
Showing all 16194 results
Name | H-index | Papers | Citations |
---|---|---|---|
José A. Teixeira | 101 | 1414 | 47329 |
J. Alfredo Martínez | 82 | 642 | 24009 |
Andrew J. Davison | 78 | 240 | 22171 |
David H. Bromwich | 75 | 291 | 21688 |
Takeji Nishikawa | 59 | 408 | 14727 |
Thierry Candresse | 59 | 403 | 11833 |
Raul Narciso C. Guedes | 55 | 378 | 10668 |
Matthias Erb | 54 | 166 | 8599 |
Arne Janssen | 53 | 179 | 8315 |
Paulo R. Guimarães | 52 | 162 | 10206 |
Antonio Reverter | 52 | 233 | 7259 |
Adriano Nunes-Nesi | 52 | 157 | 8453 |
Fermín I. Milagro | 51 | 245 | 9281 |
Svetoslav Dimitrov Todorov | 51 | 210 | 7072 |
Marcos Heil Costa | 50 | 124 | 9660 |