| Full text | |
| Author(s): |
Toledo-Silva, Guilherme
[1, 2]
;
Cardoso-Silva, Claudio Benicio
[1, 2]
;
Jank, Liana
[3]
;
Souza, Anete Pereira
[4, 1, 2]
Total Authors: 4
|
| Affiliation: | [1] Univ Estadual Campinas, UNICAMP, Ctr Mol Biol, Campinas, SP - Brazil
[2] Univ Estadual Campinas, UNICAMP, Genet Engn CBMEG, Campinas, SP - Brazil
[3] Embrapa Beef Cattle, Campo Grande, MS - Brazil
[4] Univ Estadual Campinas, UNICAMP, Inst Biol, Dept Plant Biol, Campinas, SP - Brazil
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | PLoS One; v. 8, n. 7 JUL 29 2013. |
| Web of Science Citations: | 17 |
| Abstract | |
Guinea grass (Panicum maximum Jacq.) is a tropical African grass often used to feed beef cattle, which is an important economic activity in Brazil. Brazil is the leader in global meat exportation because of its exclusively pasture-raised bovine herds. Guinea grass also has potential uses in bioenergy production due to its elevated biomass generation through the C-4 photosynthesis pathway. We generated approximately 13 Gb of data from Illumina sequencing of P. maximum leaves. Four different genotypes were sequenced, and the combined reads were assembled de novo into 38,192 unigenes and annotated; approximately 63% of the unigenes had homology to other proteins in the NCBI non-redundant protein database. Functional classification through COG (Clusters of Orthologous Groups), GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) analyses showed that the unigenes from Guinea grass leaves are involved in a wide range of biological processes and metabolic pathways, including C-4 photosynthesis and lignocellulose generation, which are important for cattle grazing and bioenergy production. The most abundant transcripts were involved in carbon fixation, photosynthesis, RNA translation and heavy metal cellular homeostasis. Finally, we identified a number of potential molecular markers, including 5,035 microsatellites (SSRs) and 346,456 single nucleotide polymorphisms (SNPs). To the best of our knowledge, this is the first study to characterize the complete leaf transcriptome of P. maximum using high-throughput sequencing. The biological information provided here will aid in gene expression studies and marker-assisted selection-based breeding research in tropical grasses. (AU) | |