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1.
Plant J ; 79(3): 375-84, 2014 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-24761964

RESUMO

Gene expression is a complex process, requiring precise spatial and temporal regulation of transcription factor activity; however, modifications of individual cis- and trans-acting modules can be molded by natural selection to create a sizeable number of novel phenotypes. Results from decades of research indicate that developmental and phenotypic divergence among eukaryotic organisms is driven primarily by variation in levels of gene expression that are dictated by mutations, either in structural or regulatory regions, of genes. The relative contributions and interplay of cis- and trans-acting regulatory factors to this evolutionary process, however, remain poorly understood. Analysis of eight genes in the Bz1-Sh1 interval of Zea mays (maize) indicates significant allele-specific expression biases in at least one tissue for all genes, ranging from 1.3-fold to 36-fold. All detected effects were cis-regulatory in nature, although genetic background may also influence the level of expression bias and tissue specificity for some allelic combinations. Most allelic pairs exhibited the same direction and approximate intensity of bias across all four tissues; however, a subset of allelic pairs show alternating dominance across different tissue types or variation in the degree of bias in different tissues. In addition, the genes showing the most striking levels of allelic bias co-localize with a previously described recombination hotspot in this region, suggesting a naturally occurring genetic mechanism for creating regulatory variability for a subset of plant genes that may ultimately lead to evolutionary diversification.


Assuntos
Alelos , Regulação da Expressão Gênica de Plantas/genética , Zea mays/genética , Dados de Sequência Molecular , Recombinação Genética/genética
2.
Ann Bot ; 116(2): 291-9, 2015 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-26141132

RESUMO

BACKGROUND AND AIMS: Sorghum is an essential grain crop whose evolutionary placement within the Andropogoneae has been the subject of scrutiny for decades. Early studies using cytogenetic and morphological data point to a poly- or paraphyletic origin of the genus; however, acceptance of poly- or paraphyly has been met with resistance. This study aimed to address the species relationships within Sorghum, in addition to the placement of Sorghum within the tribe, using a phylogenetic approach and employing broad taxon sampling. METHODS: From 16 diverse Sorghum species, eight low-copy nuclear loci were sequenced that are known to play a role in morphological diversity and have been previously used to study evolutionary relationships in grasses. Further, the data for four of these loci were combined with those from 57 members of the Andropogoneae in order to determine the placement of Sorghum within the tribe. Both maximum likelihood and Bayesian analyses were performed on multilocus concatenated data matrices. KEY RESULTS: The Sorghum-specific topology provides strong support for two major lineages, in alignment with earlier studies employing chloroplast and internal transcribed spacer (ITS) markers. Clade I is composed of the Eu-, Chaeto- and Heterosorghum, while clade II contains the Stipo- and Parasorghum. When combined with data from the Andropogoneae, Clade II resolves as sister to a clade containing Miscanthus and Saccharum with high posterior probability and bootstrap support, and to the exclusion of Clade I. CONCLUSIONS: The results provide compelling evidence for a two-lineage polyphyletic ancestry of Sorghum within the larger Andropogoneae, i.e. the derivation of the two major Sorghum clades from a unique common ancestor. Rejection of monophyly in previous molecular studies is probably due to limited taxon sampling outside of the genus. The clade consisting of Para- and Stiposorghum resolves as sister to Miscanthus and Saccharum with strong node support.


Assuntos
Núcleo Celular/genética , Dosagem de Genes , Loci Gênicos , Filogenia , Sorghum/genética , Teorema de Bayes , Funções Verossimilhança
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