Nowadays, molecular data analyses for biodiversity studies often require advanced bioinformatics skills, preventing many life scientists from analyzing their own data autonomously. BITE R package provides complete and user-friendly functions to handle SNP data and third-party software results (i.e. Admixture, TreeMix), facilitating their visualization, interpretation and use. Furthermore, BITE implements additional useful procedures, such as representative sampling and bootstrap for TreeMix, filling the gap in existing biodiversity data analysis tools. Availability: https://github.com/marcomilanesi/BITE

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Background: During the last decade, with the aim to solve the challenge of post-genomic and transcriptomic data mining, a plethora of tools have been developed to create, edit and analyze metabolic pathways. In particular, when a complex phenomenon is considered, the creation of a network of multiple interconnected pathways of interest could be useful to investigate the underlying biology and ultimately identify functional candidate genes affecting the trait under investigation. Results: PANEV (PAthway NEtwork Visualizer) is an R package set for gene/pathway-based network visualization. Based on information available on KEGG, it visualizes genes within a network of multiple levels (from 1 to n) of interconnected upstream and downstream pathways. The network graph visualization helps to interpret functional profiles of a cluster of genes. Conclusions: The suite has no species constraints and it is ready to analyze genomic or transcriptomic outcomes. Users need to supply the list of candidate genes, specify the target pathway(s) and the number of interconnected downstream and upstream pathways (levels) required for the investigation. The package is available at https:// github.com/vpalombo/PANEV.

BackgroundDespite being one of the major causes of infertility in mares, the mechanisms responsible for equine endometrosis are still unclear and controversial. In the last few years, many investigations focused on local immune response modulation. Since it is generally accepted that endometrial fibrosis increases with age, we hypothesize that older mares could show altered local immune modulation, initiating a pro-inflammatory and tissue remodeling cascade of events that could lead to endometrosis. The aim of this study, indeed, is to evaluate and describe the local gene expression of genes involved in acute inflammatory response and fibrosis (COL1A1, COL3A1, TNFA, MMP9, IL6, TGFB1 and TGFBR1), together with others associated to immune modulation (DEFB4B, IDO1 and FOXP3), in uterine specimens from mares of different age.ResultsTwenty-five Standardbred mares were involved in the study with age ranging from 7 to 19 years (mean 10.40 ± 4.42). They were divided by age into two groups: G1 (n = 15, less than 10 years old) and G2 (N = 10, greater than 11 years old). Specimens from the uterus’ right horn-body junction were collected and processed for histology evaluation and RT-qPCR assay.Gene expression of DEFB4B, MMP9 and TNFA was higher in younger mares, suggesting a balance in immune modulation and tissue remodeling. Interleukin-6 and COL3A1 gene expressions were greater in older animals, probably indicating inflammatory pathways activation and fibrosis increase. Although no differences in fibrosis and inflammation distribution could be found with histological examination among G1 and G2, our results suggest a possible involvement of DEF4BB in regulating the local immune response in younger mare’s uterus (G1); age may contribute to the dis-regulation of DEFB4B transcription and, indirectly, influence the extracellular matrix homeostasis. Transcription of IDO1 and FOXP3 genes, instead, does not seem to be age related, or to be involved in local immune-response and tissue remodeling functions.ConclusionsFurther investigations are needed in order to clarify the interactions between the expression of DEFB4B, IL6, TNFA, COL3A1 and MMP9 and other local signals of immune-modulation and tissue remodeling, in mares in a prospective study design.