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We studied the phylogeny of avian haemosporidian parasites, Haemoproteus and Plasmodium, in a number of African resident and European migratory songbird species sampled during spring and autumn in northern Nigeria. The phylogeny of the parasites was constructed through sequencing part of their mitochondrial cytochrome b gene. We found eight parasite(More)
Theory predicts that, during pollen competition, selection may favor a pollen trait that increases donor competitive ability at the expense of the female reproductive function. One such pollen trait could be manipulation of the onset of stigma receptivity. We evaluated the potential occurrence of this kind of sexual conflict by testing female control of the(More)
Data from microsatellite markers have been extensively used for both in situ and ex situ conservation strategies by determining the level of genetic diversity of natural populations that can widen the gene pool of cultivated plants. Such conservation practices are based on understanding of the between and within population genetic variations and(More)
Science is going through two rapidly changing phenomena: one is the increasing capabilities of the computers and software tools from terabytes to petabytes and beyond, and the other is the advancement in high-throughput molecular biology producing piles of data related to genomes, transcriptomes, proteomes, metabolomes, interactomes, and so on. Biology has(More)
Copyright © 2015 Shigehiko Kanaya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Recently, biology has become a data intensive science because of huge datasets produced by high(More)
Big data science towards biology has emerged as an important research and application field. The scope of big data bioinformatics and the need for integrated systems biology applications have posed significant challenges to computing systems. With the growing deluge of molecular biological data, big data methodologies, including data mining algorithms and(More)
With the data deluge caused by the recent high throughput experiments in molecular biology emerged the popular topics such as big data biology and network biology aiming at understanding life as a system by integrating and applying knowledge and facilities of different branches of science including mathematics, physics, statistics, chemistry, computer(More)
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