Publications by authors named "Ivani de O N Lopes"

Bacterial pustule (BP), caused by pv. , is an important disease that, under favorable conditions, can drastically affect soybean production. We performed a genome-wide association study (GWAS) with a panel containing Brazilian and American cultivars, which were screened qualitatively and quantitatively against two Brazilian isolates (IBS 333 and IBS 327).

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Effector proteins in Phakopsora pachyrhizi (Pp), the causative agent of Asian Soybean rust, are involved in the infection process. A previous study identified a rust effector Egh16-like family based expression profile during the interaction with soybean. Herein, we scrutinized available the Pp genomes to validate the predicted Egh16-like family of Pp and identify new family members.

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Article Synopsis
  • The study focuses on the investigation and mapping of resistance to Asian soybean rust (ASR) in the soybean line PI 594756, comparing it to the susceptible line PI 594891.
  • Using Bulked Segregant Analysis (BSA) and a panel of isolates, researchers identified resistance traits, classifying PI 594756 as having monogenic dominant resistance, although it showed incomplete dominance when quantified.
  • Genetic mapping placed the resistance gene on chromosome 18, pinpointing it between specific base pair positions, and a haplotype analysis revealed unique SNPs that can aid in marker-assisted selection (MAS) for future breeding.
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Background: Discovery of microRNAs (miRNAs) relies on predictive models for characteristic features from miRNA precursors (pre-miRNAs). The short length of miRNA genes and the lack of pronounced sequence features complicate this task. To accommodate the peculiarities of plant and animal miRNAs systems, tools for both systems have evolved differently.

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Background: Computational discovery of microRNAs (miRNA) is based on pre-determined sets of features from miRNA precursors (pre-miRNA). Some feature sets are composed of sequence-structure patterns commonly found in pre-miRNAs, while others are a combination of more sophisticated RNA features. In this work, we analyze the discriminant power of seven feature sets, which are used in six pre-miRNA prediction tools.

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Euschistus heros (F.) (Heteroptera: Pentatomidae) is the most prevalent stink bug pest in Brazil, and populations can be difficult to manage using organophosphates or endosulfan. Because E.

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