Juliano Ferreira

By Juliano Lino Ferreira, Geraldo Magela de Almeida Cançado, Aluízio Borém, Wellington Silva Gomes and Tesfahun Alemu Setotaw

Part of the book: Transgenic Plants

By Leila Maria Ferreira, Thelma Sáfadi, Tesfahun Alemu Setotaw and Juliano Lino Ferreira

The genome era allowed us to evaluate different aspects on genetic variation, with a precise manner followed by a valuable tip to guide the improvement of knowledge and direct to upgrade to human life. In order to scrutinize these treasured resources, some bioinformatics tools permit us a deep exploration of these data. Among them, we show the importance of the discrete non-decimated wavelet transform (NDWT). The wavelets have a better ability to capture hidden components of biological data and an efficient link between biological systems and the mathematical objects used to describe them. The decomposition of signals/sequences at different levels of resolution allows obtaining distinct characteristics in each level. The analysis using technique of wavelets has been growing increasingly in the study of genomes. One of the great advantages associated to this method corresponds to the computational gain, that is, the analyses are processed almost in real time. The applicability is in several areas of science, such as physics, mathematics, engineering, and genetics, among others. In this context, we believe that using R software and applied NDWT coupled with elastic net domains and Hurst exponent will be of valuable guideline to researchers of genetics in the investigation of the genetic variability.

Part of the book: Bioinformatics Tools for Detection and Clinical Interpretation of Genomic Variations

By Juliano Lino Ferreira, Eveline Teixeira Caixeta, Fernanda Fatima Caniato, Tesfahun Setotaw, Gustavo César Sant’Ana and Leila Maria Ferreira

Coffea arabica L. is a native coffee species probably originated in Abyssinia, now Ethiopia. The genetic diversity of C. arabica has economic implications directly related to profits by breeding for developing new varieties to a global market. The economic value of C. arabica genetic resources are estimated at US$ 420 million, considered a 10% discount rate. Understanding the extent of traits variability and genetic diversity is essential to guide crosses between genotypes, targeting the development of new varieties with high economic value. This chapter will present the C. arabica economic importance, primarily to Brazil, the most significant world producer; we will outline the origin and dispersion of arabica coffee and briefly show the leading germplasm banks. We will also point out contribution of genetic diversity studies based on morphological, agronomic traits, and molecular markers supporting the development of new varieties. Finally, we present an outline for the future.

Part of the book: Genetic Variation