8 research outputs found

    Cell Wall Proteomics as a Means to Identify Target Genes to Improve Second‐Generation Biofuel Production

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    Second‐generation biofuels (B2G) generally uses residues composed of lignocellulosic materials to produce renewable energy (potentially up to 50%), without increasing the planted areas. However, the high cost of enzymes required for cell wall disassembly prior to the saccharification makes the B2G production more expensive yet, compared to the first‐generation biofuels. Designing plants with less lignin, a barrier to B2G production, or facilitating cell wall disassembly by searching for the plant mechanisms can be the way to obtain B2G feasibility. Therewith, plant cell wall proteomics provides valuable information concerning the main cell wall proteins (CWPs) involved in its biosynthesis and rearrangements. Essentially, two plants of the grass family have been studied: sugarcane as a crop amenable to second‐generation ethanol (E2G) production; and Brachypodium distachyon as a model plant amenable to genetic transformation. Cell wall proteomics has allowed the identification of numerous CWPs as well as their fine profiling in different organs and at various developmental stages. Proteins acting on carbohydrates, mostly glycosyl hydrolases, and oxidoreductases, including class III peroxidases and laccases, can be highlighted. Both kinds of CWPs are assumed to contribute to the remodelling of cell wall polysaccharides by enzymatic or non‐enzymatic mechanisms. CWPs present in growing organs could also be attractive candidates since they greatly contribute to cell wall plasticity

    Glycoside Hydrolases in Plant Cell Wall Proteomes: Predicting Functions That Could Be Relevant for Improving Biomass Transformation Processes

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    Glycoside hydrolases (GHs) are enzymes that are able to rearrange the plant cell wall polysaccharides, being developmental- and stress-regulated. Such proteins are used in enzymatic cocktails for biomass hydrolysis in the second-generation ethanol (E2G) production. In this chapter, we investigate GHs identified in plant cell wall proteomes by predicting their functions through alignment with homologous plant and microorganism sequences and identification of functional domains. Up to now, 49 cell wall GHs were identified in sugarcane and 114 in Brachypodium distachyon. We could point at candidate proteins that could be targeted to lower biomass recalcitrance. We more specifically addressed several GHs with predicted cellulase, hemicellulase, and pectinase activities, such as β-xylosidase, α and β-galactosidase, α-N-arabinofuranosidases, and glucan β-glucosidases. These enzymes are among the most used in enzymatic cocktails to deconstruct plant cell walls. As an example, the fungi arabinofuranosidases belonging to the GH51 family, which were also identified in sugarcane and B. distachyon, have already been associated to the degradation of hemicellulosic and pectic polysaccharides, through a peculiar mechanism, probably more efficient than other GH families. Future research will benefit from the information available here to design plant varieties with self-disassembly capacity, making the E2G more cost-effective through the use of more efficient enzymes

    Cell wall proteome of sugarcane stems: comparison of a destructive and a non-destructive extraction method showed differences in glycoside hydrolases and peroxidases

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    Abstract\ud \ud Background\ud Sugarcane has been used as the main crop for ethanol production for more than 40 years in Brazil. Recently, the production of bioethanol from bagasse and straw, also called second generation (2G) ethanol, became a reality with the first commercial plants started in the USA and Brazil. However, the industrial processes still need to be improved to generate a low cost fuel. One possibility is the remodeling of cell walls, by means of genetic improvement or transgenesis, in order to make the bagasse more accessible to hydrolytic enzymes. We aimed at characterizing the cell wall proteome of young sugarcane culms, to identify proteins involved in cell wall biogenesis. Proteins were extracted from the cell walls of 2-month-old culms using two protocols, non-destructive by vacuum infiltration vs destructive. The proteins were identified by mass spectrometry and bioinformatics.\ud \ud \ud Results\ud A predicted signal peptide was found in 84 different proteins, called cell wall proteins (CWPs). As expected, the non-destructive method showed a lower percentage of proteins predicted to be intracellular than the destructive one (33 % vs 44 %). About 19 % of CWPs were identified with both methods, whilst the infiltration protocol could lead to the identification of 75 % more CWPs. In both cases, the most populated protein functional classes were those of proteins related to lipid metabolism and oxido-reductases. Curiously, a single glycoside hydrolase (GH) was identified using the non-destructive method whereas 10 GHs were found with the destructive one. Quantitative data analysis allowed the identification of the most abundant proteins.\ud \ud \ud Conclusions\ud The results highlighted the importance of using different protocols to extract proteins from cell walls to expand the coverage of the cell wall proteome. Ten GHs were indicated as possible targets for further studies in order to obtain cell walls less recalcitrant to deconstruction. Therefore, this work contributed to two goals: enlarge the coverage of the sugarcane cell wall proteome, and provide target proteins that could be used in future research to facilitate 2G ethanol production

    Caracterização do proteoma da parede celular primária de cana-de-açúcar

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    This study provides information to support the use of plant cell wall, from sugarcane bagasse, to produce cellulosic ethanol. Therewith, cell wall proteins from sugarcane cells cultures, leaves and culms were identified. To do so, different protocols were used. Using two-month-old leaves and culms, the extractions were performed using a destructive method, based on griding the tissues, submitting them to a growing gradient of succrose and centrifugation, being the cell wall extract later isolated by washing on a nylon net. After that, the cell wall proteins were extracted using two salts, 0,2 M CaCl2 and 2 M LiCl. Using cultured cells, a similar protocol was used, but it had a previous step of separation of the cell wall through grinding and precipitation in glycerol 15%. Using culms of the same age, a nondestructive protocol was tested based on vacuum infiltration of the tissues in the same salts already described, 0,2 M CaCl2 and 2 M LiCl, and posterior centrifugation. Two replicates were used from two-month-old plants and three in the case of suspension cells. The complex samples were digested, fractionated and sequenced through mass spectrometry, using SYNAPT G2HDMS coupled to nanoACQUITY, both from Waters. Peptides were processed using ProteinLynx 2.5 Global Server against sugarcane translated-EST database. Using bioinformatic programs, such as Blast2GO, it was possible to find the annotation and classification of similar proteins. Only proteins equally found in all repetitions were considered in the main analysis. SignalP, WolfPSORT, TargetP, TMHMM and Predotar were used to predict the subcellular location, both from ESTs and blasted proteins, and only the proteins predicted to be secreted in two or more programs were considered as cell wall proteins. Altogether, 157 different SAS related to sugarcane cell wall were found. Among these, 101 different cell wall proteins were characterized from eight functional classes. The method based on vacuum infiltration seems to be the most efficient one, since it had almost half, 48,84% of the proteins predicted to be secreted, which is a good percentage when comparing to other studies. From secreted proteins most of them were related to lipid metabolism, as lipid-transfer proteins, oxido-reductases, such as peroxidases, cell wall modifying enzymes, like glycoside-hydrolases, proteases, proteins with interacting domains, signaling proteins and several others. Results are in agreement with the expected role of the extracellular matrix in polysaccharide metabolism and signaling phenomena. Therefore, this work provided valuable information about sugarcane cell wall that can lead to future studies to enhance cellulosic ethanol production.Este estudo fornece informação para auxiliar o uso da parede celular vegetal, a partir do bagaço de cana, para a produção de etanol celulósico. Com isso, as proteínas da parede celular de folhas, colmos e células em suspensão foram identificadas. Para isso, foram utilizados diferentes protocolos. Utilizando folhas e colmos de cana-de-açúcar de dois meses de idade, as extracções foram realizadas por meio de método destrutivo, com base na trituração dos tecidos, submetendo-os a gradiente crescente de sacarose e centrifugação, sendo a parede da célula extraída e depois isolada por lavagem sobre uma rede de nylon. Depois disso, as proteínas de parede celular foram extraídas utilizando dois sais, 0,2 M de CaCl2 e 2 M de LiCl. Para células em suspensão, um protocolo semelhante foi utilizado, contendo, no entanto, um passo anterior de separação da parede celular por meio de maceração e precipitação em glicerol 15%. Usando colmos da mesma idade, dois meses, um protocolo não destrutivo foi testado com base na infiltração a vácuo dos tecidos nos mesmos sais já descritos, 0,2 M de CaCl2 e 2 M de LiCl, e posterior centrifugação. Duas repetições foram usadas nos experimentos com plantas de dois meses de idade, e três, no caso de células em suspensão. As amostras complexas foram digeridas, fracionadas e seqüenciadas por espectrometria de massas, utilizando o equipamento SYNAPT G2HDMS acoplado ao cromatógrafo nanoACQUITY, ambos da Waters. Os peptídeos foram processadas utilizando ProteinLynx 2,5 comparando com a base de dados de ESTs traduzidos da cana. Utilizando programas de bioinformática, como Blast2GO, foi possível encontrar a anotação e classificação de proteínas semelhantes. Apenas proteínas igualmente encontradas em todas as repetições foram consideradas na análise principal. SignalP, WolfPSORT, TargetP, TMHMM e Predotar foram softwares utilizados para prever a localização subcelular, tanto para ESTs como proteínas, e apenas as proteínas preditas para serem secretadas por dois ou mais programas foram consideradas como proteínas de parede celular. Ao todo, 157 SAS diferentes relacionados à parede celular da cana foram encontrados. Dentre eles, 101 diferentes proteínas de parede foram caracterizadas em oito classes funcionais. O método baseado na infiltração a vácuo mostrou-se o mais eficiente, uma vez que apresentou quase metade, 48,84%, das proteínas preditas para serem secretadas, o que é um bom valor quando comparado com outros estudos. A maioria das proteínas secretadas estava relacionada com o metabolismo lipídico, como proteínas de transporte de lípidos, oxido-redutases, tais como peroxidases, enzimas modificadoras da parede, como as glicosil-hidrolases, proteases, proteínas com domínios de interação, proteínas sinalizadoras, entre outras. Os resultados estão de acordo com o papel que se espera da matriz extracelular no metabolismo de polissacarídeos e fenômenos de sinalização. Portanto, este trabalho forneceu informações valiosas sobre a parede celular da cana, tornando possível a utilização desses dados em futuros estudos para otimizar a produção de etanol celulósico

    Cell Wall Proteome of Sugarcane Young and Mature Leaves and Stems

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    International audienceBy characterizing the cell wall proteomes of different sugarcane organs (leaves and stems) at two developmental stages (young vs mature/apical vs basal), it is possible to address unique characteristics in each of them. Four-month-old leaves show a higher proportion of oxido-reductases and proteins related to lipid metabolism (LM), besides a lower proportion of proteins acting on polysaccharides, in comparison to 4-month-old internodes. It is possible to note that sugarcane leaves and young stems have the highest LM rate than all species, which is assumed to be linked to cuticle formation. The data generated enrich the number of cell wall proteins (CWPs) identified in sugarcane, reaching 277. To our knowledge, sugarcane has now the second higher coverage of monocot CWP in plants

    What's in a Name? Effect of Breed Perceptions & Labeling on Attractiveness, Adoptions & Length of Stay for Pit-Bull-Type Dogs.

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    Previous research has indicated that certain breeds of dogs stay longer in shelters than others. However, exactly how breed perception and identification influences potential adopters' decisions remains unclear. Current dog breed identification practices in animal shelters are often based upon information supplied by the relinquishing owner, or staff determination based on the dog's phenotype. However, discrepancies have been found between breed identification as typically assessed by welfare agencies and the outcome of DNA analysis. In Study 1, the perceived behavioral and adoptability characteristics of a pit-bull-type dog were compared with those of a Labrador Retriever and Border Collie. How the addition of a human handler influenced those perceptions was also assessed. In Study 2, lengths of stay and perceived attractiveness of dogs that were labeled as pit bull breeds were compared to dogs that were phenotypically similar but were labeled as another breed at an animal shelter. The latter dogs were called "lookalikes." In Study 3, we compared perceived attractiveness in video recordings of pit-bull-type dogs and lookalikes with and without breed labels. Lastly, data from an animal shelter that ceased applying breed labeling on kennels were analyzed, and lengths of stay and outcomes for all dog breeds, including pit bulls, before and after the change in labeling practice were compared. In total, these findings suggest that breed labeling influences potential adopters' perceptions and decision-making. Given the inherent complexity of breed assignment based on morphology coupled with negative breed perceptions, removing breed labels is a relatively low-cost strategy that will likely improve outcomes for dogs in animal shelters
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