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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Leaf transcriptome of two highly divergent genotypes of Urochloa humidicola (Poaceae), a tropical polyploid forage grass adapted to acidic soils and temporary flooding areas

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Zanotto Vigna, Bianca Baccili ; de Oliveira, Fernanda Ancelmo ; de Toledo-Silva, Guilherme ; da Silva, Carla Cristina ; do Valle, Cacilda Borges ; de Souza, Anete Pereira
Total Authors: 6
Document type: Journal article
Source: BMC Genomics; v. 17, NOV 11 2016.
Web of Science Citations: 3

Background: Urochloa humidicola (Koronivia grass) is a polyploid (6x to 9x) species that is used as forage in the tropics. Facultative apospory apomixis is present in most of the genotypes of this species, although one individual has been described as sexual. Molecular studies have been restricted to molecular marker approaches for genetic diversity estimations and linkage map construction. The objectives of the present study were to describe and compare the leaf transcriptome of two important genotypes that are highly divergent in terms of their phenotypes and reproduction modes: the sexual BH031 and the aposporous apomictic cultivar BRS Tupi. Results: We sequenced the leaf transcriptome of Koronivia grass using an Illumina GAIIx system, which produced 13.09 Gb of data that consisted of 163,575,526 paired-end reads between the two libraries. We de novo-assembled 76,196 transcripts with an average length of 1,152 bp and filtered 35,093 non-redundant unigenes. A similarity search against the non-redundant National Center of Biotechnology Information (NCBI) protein database returned 65 % hits. We annotated 24,133 unigenes in the Phytozome database and 14,082 unigenes in the UniProtKB/Swiss-Prot database, assigned 108,334 gene ontology terms to 17,255 unigenes and identified 5,324 unigenes in 327 known metabolic pathways. Comparisons with other grasses via a reciprocal BLAST search revealed a larger number of orthologous genes for the Panicum species. The unigenes were involved in C4 photosynthesis, lignocellulose biosynthesis and flooding stress responses. A search for functional molecular markers revealed 4,489 microsatellites and 560,298 single nucleotide polymorphisms (SNPs). A quantitative real-time PCR analysis validated the RNA-seq expression analysis and allowed for the identification of transcriptomic differences between the two evaluated genotypes. Moreover, 192 unannotated sequences were classified as containing complete open reading frames, suggesting that the new, potentially exclusive genes should be further investigated. Conclusion: The present study represents the first whole-transcriptome sequencing of U. humidicola leaves, providing an important public information source of transcripts and functional molecular markers. The qPCR analysis indicated that the expression of certain transcripts confirmed the differential expression observed in silico, which demonstrated that RNA-seq is useful for identifying differentially expressed and unique genes. These results corroborate the findings from previous studies and suggest a hybrid origin for BH031. (AU)

FAPESP's process: 13/14903-2 - Leaf Transcriptome analysis of Brachiaria humidicola and Paspalum notatum for the development of functional markers for genetic and genomic studies of tropical forage grasses
Grantee:Fernanda Ancelmo de Oliveira
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 08/52197-4 - Genomic-assisted breeding of sugarcane: using molecular markers for understanding the genetic architecture of quantitative traits and to implement marker assisted selection
Grantee:Anete Pereira de Souza
Support Opportunities: Program for Research on Bioenergy (BIOEN) - Thematic Grants
FAPESP's process: 13/20447-0 - Transcriptome analysis of Hevea pauciflora and Hevea benthamiana and Hevea genus orthologs genes identification
Grantee:Guilherme de Toledo e Silva
Support Opportunities: Scholarships in Brazil - Post-Doctoral