Feed conversion ratio (FCR) is an economically important trait in broilers and feed accounts for a significant proportion of the costs involved in broiler production. To explore the contribution of functional variants to FCR trait, we analyzed coding and non-coding single-nucleotide variants (SNVs) across the genome by exome sequencing in seven pairs of full-sibs broilers with divergent FCR and with a sequence coverage at an average depth of fourfold. We identified 192,119 high-quality SNVs, including 30,380 coding SNVs (cSNVs) in the experimental population. We discovered missense SNVs in PGM2, NOX4, TGFBR3, and TMX4, and synonymous SNVs in TSNAX, ITA, HSP90B1, and COL18A1 associated with FCR. Haplotype analyses of genome-wide significant SNVs in PGM2, PHKG1, DGKZ, and SOD2 were also observed with suggestive evidence of haplotype association with FCR. Single-variant and FCR QTL-related genes-based association analyses of SNVs identified newly associated genes for FCR in the regions subjected to targeted exome sequencing. The top seven SNVs were next evaluated in independent replication data sets where SNV chr. 3: 13,990,160 (c. 961G>C) at TMX4 was replicated (p < 0.05). Collectively, we have detected SNVs associated with FCR in broiler as well as identification of SNVs in known FCR QTL region. These findings should facilitate the discovery of causative variants for FCR and contribute to marker-assisted selection.

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Even though next-generation sequencing (NGS) has become an invaluable tool in molecular biology, several laboratories with NGS facilities lack trained Bioinformaticians for data analysis. Here, focusing on the variant detection application of NGS analysis, we have developed a fully automated pipeline, namely Variant Discovery and Annotation Tool-Graphical User Interface (VDAP-GUI), which detects and annotates single nucleotide polymorphisms and insertions/deletions from raw sequence reads. VDAP-GUI consolidates several proven methods in each step such as quality control, trimming, mapping, variant detection and annotation. It supports multiple NGS platforms and has four methodological choices for variant detection. Further, it can re-analyze existing data with alternate thresholds and generates easily interpretable reports in html and tab-delimited formats. Using VDAP-GUI, we have analyzed a publically available human whole-exome sequence dataset. VDAP-GUI is developed using Perl/Tk programming, and is available for free download and use at http://sourceforge.net/projects/vdapgui/.Electronic supplementary materialThe online version of this article (doi:10.1007/s13205-016-0382-1) contains supplementary material, which is available to authorized users.

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Arthrobotrys conoides is a nematode-trapping fungus belonging to Orbiliales, Ascomycota group, and traps prey nematodes by means of adhesive network. Fungus has a potential to be used as a biocontrol agent against plant parasitic nematodes. In the present study, we characterized the transcriptome of A. conoides using high-throughput sequencing technology and characterized its virulence unigenes. Total 7,255 cDNA contigs with an average length of 425 bp were generated and 6184 (61.81%) transcripts were functionally annotated and characterized. Majority of unigenes were found analogous to the genes of plant pathogenic fungi. A total of 1749 transcripts were found to be orthologous with eukaryotic proteins of KOG database. Several carbohydrate active enzymes and peptidases were identified. We also analyzed classically and nonclassically secreted proteins and confirmed by BLASTP against fungal secretome database. A total of 916 contigs were analogous to 556 unique proteins of Pathogen Host Interaction (PHI) database. Further, we identified 91 unigenes homologous to the database of fungal virulence factor (DFVF). A total of 104 putative protein kinases coding transcripts were identified by BLASTP against KinBase database, which are major players in signaling pathways. This study provides a comprehensive look at the transcriptome of A. conoides and the identified unigenes might have a role in catching and killing prey nematodes by A. conoides.