Development and Application of Microsatellites in Candidate Genes Related to Wood Properties in the Chinese White Poplar (Populus tomentosa Carr.)

Gene-derived simple sequence repeats (genic SSRs), also known as functional markers, are often preferred over random genomic markers because they represent variation in gene coding and/or regulatory regions. We characterized 544 genic SSR loci derived from 138 candidate genes involved in wood formation, distributed throughout the genome of Populus tomentosa, a key ecological and cultivated wood production species. Of these SSRs, three-quarters were located in the promoter or intron regions, and dinucleotide (59.7%) and trinucleotide repeat motifs (26.5%) predominated. By screening 15 wild P. tomentosa ecotypes, we identified 188 polymorphic genic SSRs with 861 alleles, 2–7 alleles for each marker. Transferability analysis of 30 random genic SSRs, testing whether these SSRs work in 26 genotypes of five genus Populus sections (outgroup, Salix matsudana), showed that 72% of the SSRs could be amplified in Turanga and 100% could be amplified in Leuce. Based on genotyping of these 26 genotypes, a neighbour-joining analysis showed the expected six phylogenetic groupings. In silico analysis of SSR variation in 220 sequences that are homologous between P. tomentosa and Populus trichocarpa suggested that genic SSR variations between relatives were predominantly affected by repeat motif variations or flanking sequence mutations. Inheritance tests and single-marker associations demonstrated the power of genic SSRs in family-based linkage mapping and candidate gene-based association studies, as well as marker-assisted selection and comparative genomic studies of P. tomentosa and related species.     

Genome-wide identification and Phylogenic analysis of kelch motif containing ACBP in Brassica napus

Background

Acyl-coA binding proteins (ACBPs) bind long chain acyl-CoA esters with very high affinity. Their possible involvement in fatty acid transportation from the plastid to the endoplasmic reticulum, prior to the formation of triacylglycerol has been suggested. Four classes of ACBPs were identified in Arabidopsis thaliana: the small ACBPs, the large ACBPs, the ankyrin repeats containing ACBPs and the kelch motif containing ACBPs. They differed in structure and in size, and showed multiple important functions. In the present study, Brassica napus ACBPs were identified and characterized.

Results

Eight copies of kelch motif ACBPs were cloned, it showed that B. napus ACBPs shared high amino acid sequence identity with A. thaliana, Brassica rapa and Brassica oleracea. Furthermore, phylogeny based on domain structure and comparison map showed the relationship and the evolution of ACBPs within Brassicaceae family: ACBPs evolved into four separate classes with different structure. Chromosome locations comparison showed conserved syntenic blocks.

Conclusions

ACBPs were highly conserved in Brassicaceae. They evolved from a common ancestor, but domain duplication and rearrangement might separate them into four distinct classes, with different structure and functions. Otherwise, B. napus inherited kelch motif ACBPs from ancestor conserving chromosomal location, emphasizing preserved synteny block region. This study provided a first insight for exploring ACBPs in B. napus, which supplies a valuable tool for crop improvement in agriculture.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1735-6) contains supplementary material, which is available to authorized users.     

Computational identification and analysis of functional polymorphisms involved in the activation and detoxification genes implicated in endometriosis

Endometriosis is a complex disorder of the female reproductive system where endometrial tissue embeds and grows at extrauterine location leading to inflammation and pain. Hundreds of polymorphisms in several genes have been studied as probable risk factors of this debilitating disease. Bioinformatics tools have come a long way in augmenting the search for putative functional polymorphisms in human diseases. In this study we have explored 16 genes involved in the detoxification of xenobiotic chemicals that are implicated in endometriosis by utilising publically available programs like SIFT, Polyphen, Panther, FastSNP, SNPeffect and PhosSNP. The variations among different ethnic populations of the SNPs were studied. We then calculated the extent to which bioinformatics based predictions are concurrent with real world epidemiological, genotyping studies using a set of SNPs that have been studied in endometriosis case–control studies. Our study shows that there is a significant positive correlation (r = 0.569, p < 0.005) between the summary of the predicted scores taken from 4 different servers and the odds ratio found from epidemiological studies. This report has identified and catalogued various deleterious SNPs that could be important in endometriosis and could aid in further analysis by in vitro and in vivo methods for the better understanding of the disease pathophysiology.     

Identification of novel microRNA-like-coding sites on the long-stem microRNA precursors in Arabidopsis

Plant microRNA (miRNA) is a crucial regulator of gene expression. It has been reported that more than one miRNA/miRNA* duplex could be produced from a microRNA precursor (pre-miRNA). In this study, we performed a comprehensive search for the novel miRNA candidates on the pre-miRNAs of Arabidopsis. AGO1 enrichment, co-existence of the miRNA*-like coordinates, and unique genome-wide match sites were taken into consideration for candidate screening. As a result, 43 miRNA-like candidates derived from 25 pre-miRNAs were identified. Among these candidates, 31 strong candidates from 22 pre-miRNAs passed all the filtering steps. Interestingly, some of these miRNA-like candidates showed organ-specific expression patterns. After target prediction and degradome sequencing data-based validation, five miRNA candidate–target pairs (ath-miR863-5p.2–AT1G76550.1, ath-miR822.2–AT5G03552.1, ath-miR822.3–AT5G02350.1, sRNA4–AT1G66290.1 and sRNA6–AT1G66310.1) were identified, providing a basis for in-depth functional analysis of these miRNA candidates. These results could update the current understanding of the biogenesis and the action of the plant miRNAs.     

A bioinformatics-based update on microRNAs and their targets in rainbow trout (Oncorhynchus mykiss)

MicroRNAs (miRNAs) participate in various vitally biological processes via controlling target genes activity and thousands of miRNAs have been identified in many species to date, including 18,698 known animal miRNA in miRBase. However, there are only limited studies reported in rainbow trout (Oncorhynchus mykiss) especially via the computational-based approaches. In present study, we systematically investigated the miRNAs in rainbow trout using a well-developed comparative genome-based homologue search. A total of 196 potential miRNAs, belonging to 124 miRNA families, were identified, most of which were firstly reported in rainbow trout. The length of miRNAs ranged from 17 to 24 nt with an average of 20 nt while the length of their precursors varied from 47 to 152 nt with an average of 85 nt. The identified miRNAs were not evenly distributed in each miRNA family, with only one member per family for a majority, and multiple members were also identified for several families. Nucleotide U was dominant in the pre-miRNAs with a percentage of 30.04%. The rainbow trout pre-miRNAs had relatively high negative minimal folding free energy (MFE) and adjusted MFE (AMFE). Not only the mature miRNAs but their precursor sequences are conserved among the living organisms. About 2466 O. mykiss genes were predicted as potential targets for 189 miRNAs. Gene Ontology (GO) analysis showed that nearly 2093, 2107, and 2081 target genes are involved in cellular component, molecular function, and biological processes respectively. KEGG pathway enrichment analysis illuminated that these miRNAs targets might regulate 105 metabolic pathways, including those of purine metabolism, nitrogen metabolism, and oxidative phosphorylation. This study has provided an update on rainbow trout miRNAs and their targets, which represents a foundation for future studies.