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1.
Plant Dis ; 100(7): 1358-1363, 2016 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-30686202

RESUMO

Root-knot nematodes (RKN; Meloidogyne spp.) are predominant polyphagous pests of crops in the Central Valley of Chile. Twenty RKN populations from this region were collected from diverse crops and subsequently identified with both sequence-characterized amplified region and isoenzyme markers. Populations included three RKN species: Meloidogyne ethiopica (75%), M. javanica (15%), and M. arenaria (10%). This is the first report of the high prevalence and wide host range of M. ethiopica in Chile. The host status of three Prunus rootstocks for isolates obtained from the Chilean RKN populations was then evaluated. Rootstocks assessed included the peach rootstock Nemaguard and the plum rootstock Marianna 2624, both previously considered resistant, and the peach rootstock Pomona as a susceptible accession. In the first experiment, rootstocks were inoculated individually in pots with 10,000 second-stage juveniles and eggs of each isolate, and reproduction and galling were evaluated 5 months after inoculation. In the second experiment, the six most aggressive RKN isolates were used in a mixture to evaluate the host response of the same three rootstocks. No RKN were detected on Marianna 2624 in both experiments, which confirmed its immune host status to M. arenaria and M. javanica; this is the first report of immunity to M. ethiopica. Even though Pomona was classified overall as susceptible, the response of this rootstock to the RKN isolates was highly variable and ranged from susceptible to resistant, depending on the RKN isolates. Nemaguard ranged from resistant (to each of the most aggressive isolates and to their mixture) to highly resistant (to M. arenaria isolates). Our results illustrate that Prunus rootstocks express different levels of resistance to RKN species. RKN resistance may be active either at the isolate level (as in Pomona), at the species level (as in Nemaguard toward M. javanica and M. arenaria), or at the genus level (as in Marianna 2624).

2.
BMC Plant Biol ; 11: 57, 2011 Mar 29.
Artigo em Inglês | MEDLINE | ID: mdl-21447172

RESUMO

BACKGROUND: Stenospermocarpy is a mechanism through which certain genotypes of Vitis vinifera L. such as Sultanina produce berries with seeds reduced in size. Stenospermocarpy has not yet been characterized at the molecular level. RESULTS: Genetic and physical maps were integrated with the public genomic sequence of Vitis vinifera L. to improve QTL analysis for seedlessness and berry size in experimental progeny derived from a cross of two seedless genotypes. Major QTLs co-positioning for both traits on chromosome 18 defined a 92-kb confidence interval. Functional information from model species including Vitis suggested that VvAGL11, included in this confidence interval, might be the main positional candidate gene responsible for seed and berry development.Characterization of VvAGL11 at the sequence level in the experimental progeny identified several SNPs and INDELs in both regulatory and coding regions. In association analyses performed over three seasons, these SNPs and INDELs explained up to 78% and 44% of the phenotypic variation in seed and berry weight, respectively. Moreover, genetic experiments indicated that the regulatory region has a larger effect on the phenotype than the coding region. Transcriptional analysis lent additional support to the putative role of VvAGL11's regulatory region, as its expression is abolished in seedless genotypes at key stages of seed development. These results transform VvAGL11 into a functional candidate gene for further analyses based on genetic transformation.For breeding purposes, intragenic markers were tested individually for marker assisted selection, and the best markers were those closest to the transcription start site. CONCLUSION: We propose that VvAGL11 is the major functional candidate gene for seedlessness, and we provide experimental evidence suggesting that the seedless phenotype might be caused by variations in its promoter region. Current knowledge of the function of its orthologous genes, its expression profile in Vitis varieties and the strong association between its sequence variation and the degree of seedlessness together indicate that the D-lineage MADS-box gene VvAGL11 corresponds to the Seed Development Inhibitor locus described earlier as a major locus for seedlessness. These results provide new hypotheses for further investigations of the molecular mechanisms involved in seed and berry development.


Assuntos
Proteínas de Domínio MADS/genética , Proteínas de Plantas/genética , Sementes/crescimento & desenvolvimento , Transcrição Gênica , Vitis/genética , Sequência de Aminoácidos , Mapeamento Cromossômico , Regulação da Expressão Gênica de Plantas , Proteínas de Domínio MADS/metabolismo , Dados de Sequência Molecular , Proteínas de Plantas/metabolismo , Regiões Promotoras Genéticas , Locos de Características Quantitativas , Sementes/genética , Sementes/metabolismo , Alinhamento de Sequência , Vitis/crescimento & desenvolvimento , Vitis/metabolismo
3.
Electron. j. biotechnol ; 13(4): 11-12, July 2010. ilus, tab
Artigo em Inglês | LILACS | ID: lil-577116

RESUMO

Aluminum (Al) toxicity is the main factor limiting crop productivity in acidic soils around the world. In cereals, this problem reduces crop yields by 30-40 percent. The use of DNA-based markers linked to phenotypic traits is an interesting alternative approach. Strategies such as molecular marker-assisted selection (MAS) in conjunction with bioinformatics-based tools such as graphical genotypes (GGT) have been important for confirming introgression of genes or genomic regions in cereals but also to reduce the time and cost of identifying them through genetic selection. These biotechnologies also make it possible to identify target genes or quantitative trait loci (QTL) that can be potentially used in similar crops to increase their productivity. This review presents the main advances in the genetic improvement of cereals for Al-tolerance.


Assuntos
Alumínio/toxicidade , Mapeamento Cromossômico , Grão Comestível/genética , Transportadores de Ânions Orgânicos , Resistência a Medicamentos/genética , Produção Agrícola , Grão Comestível , Cruzamento/métodos , Marcadores Genéticos , Ácidos Orgânicos , Locos de Características Quantitativas , Seleção Genética
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