Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1169941
Title: Assessing DNA sequence variation in Megathyrsus maximus: an exploratory survey for use in breeding programs.
Authors: JESUS, A. A.
BUENO, L. G.
SILVA, G. R.
GALVANI, D. B.
JANK, L.
CHIARI, L.
SANTOS, M. F.
DINIZ, F. M.
Affiliation: ANTONIETA A. JESUS, UNIVERSIDADE FEDERAL DO PIAUÍ; LUICE GOMES BUENO GALVANI, CNPGC; GEICE R. SILVA; DIEGO BARCELOS GALVANI, CNPGC; LIANA JANK, CNPGC; LUCIMARA CHIARI, GCI; MATEUS FIGUEIREDO SANTOS, CNPGC; FABIO MENDONCA DINIZ, CNPC.
Date Issued: 2024
Citation: Crop Breeding and Applied Biotechnology, v. 24, n. 4, e46102447, 2024.
Description: Abstract: Distinguishing Megathyrsus maximus genotypes in breeding programs based on morphological traits alone can be challenging. Thus, this study proposes the utilization of molecular traits to identify genetic differences and understand the characteristics of these genotypes. Twenty-four genotypes were sequenced, resulting in 341 bases within the trnL-trnF spacer and 459 bases from ITS2 sequences. These sequences were head-to-tail concatenated and analyzed for phylogenetic diversity. Substitution saturation analysis confirmed the sequences’ suitability for phylogenetic reconstruction, as ISS value (0.0279) was significantly lower than its critical value (ISS.c = 0.7523). Both Maximum Parsimony and Bayesian Inference analyses yielded consistent results with most nodes showing support above 99%. PCoA analysis demonstrated a clustering pattern consistent with the phylogenetic tree, identifying two distinct groups with clear separation. Approximately 82% of the total variance was explained by the PCoA. The obtained genetic information serves as a valuable resource for developing M. maximus markers.
Thesagro: Panicum Maximum
NAL Thesaurus: Plant breeding
Megathyrsus maximus
Sequence analysis
Genetic markers
Brazil
Keywords: Tropical forage
Sequencing
Phylogenetic reconstruction
Promising genotypes
ISSN: 1984-7033
Type of Material: Artigo de periódico
Access: openAccess
Appears in Collections:Artigo em periódico indexado (CNPGC)

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