ALBERT

Description: The identification of conserved syntenic regions enables discovery of predicted locations for orthologous and homeologous genes, even when no such gene is present. This capability means that synteny-based methods are far more effective than sequence similarity-based methods in identifying true-negatives, a necessity for studying gene loss and gene transposition. However, the identification of syntenic regions requires complex analyses which must be repeated for pairwise comparisons between any two species. Therefore, as the number of published genomes increases, there is a growing demand for scalable, simple-to-use applications to perform comparative genomic analyses that cater to both gene family studies and genome-scale studies. We implemented SynFind, a web-based tool that addresses this need. Given one query genome, SynFind is capable of identifying conserved syntenic regions in any set of target genomes. SynFind is capable of reporting per-gene information, useful for researchers studying specific gene families, as well as genome-wide data sets of syntenic gene and predicted gene locations, critical for researchers focused on large-scale genomic analyses. Inference of syntenic homologs provides the basis for correlation of functional changes around genes of interests between related organisms. Deployed on the CoGe online platform, SynFind is connected to the genomic data from over 15,000 organisms from all domains of life as well as supporting multiple releases of the same organism. SynFind makes use of a powerful job execution framework that promises scalability and reproducibility. SynFind can be accessed at http://genomevolution.org/CoGe/SynFind.pl . A video tutorial of SynFind using Phytophthrora as an example is available at http://www.youtube.com/watch?v=2Agczny9Nyc .

Description: MicroRNAs (miRNAs) are a class of short non-coding, endogenous RNAs that play essential roles in eukaryotes. Although the influence of whole-genome triplication (WGT) on protein-coding genes has been well documented in Brassica rapa , little is known about its impacts on MIRNA s. In this study, through generating a comprehensive annotation of 680 MIRNA s for B. rapa , we analyzed the evolutionary characteristics of these MIRNA s from different aspects in B. rapa . First, while MIRNA s and genes show similar patterns of biased distribution among subgenomes of B. rapa , we found that MIRNA s are much more overretained than genes following fractionation after WGT. Second, multiple-copy MIRNA s show significant sequence conservation than that of single-copy MIRNA s, which is opposite to that of genes. This indicates that increased purifying selection is acting upon these highly retained multiple-copy MIRNA s and their functional importance over singleton MIRNA s. Furthermore, we found the extensive divergence between pairs of miRNAs and their target genes following the WGT in B. rapa . In summary, our study provides a valuable resource for exploring MIRNA in B. rapa and highlights the impacts of WGT on the evolution of MIRNA .

Description: Ancient tetraploidies are found throughout the eukaryotes. After duplication, one copy of each duplicate gene pair tends to be lost (fractionate). For all studied tetraploidies, the loss of duplicated genes, known as homeologs, homoeologs, ohnologs, or syntenic paralogs, is uneven between duplicate regions. In maize, a species that experienced a tetraploidy 5–12 million years ago, we show that in addition to uneven ancient gene loss, the two complete genomes contained within maize are differentiated by ongoing fractionation among diverse inbreds as well as by a pattern of overexpression of genes from the genome that has experienced less gene loss. These expression differences are consistent over a range of experiments quantifying RNA abundance in different tissues. We propose that the universal bias in gene loss between the genomes of this ancient tetraploid, and perhaps all tetraploids, is the result of selection against loss of the gene responsible for the majority of total expression for a duplicate gene pair. Although the tetraploidy of maize is ancient, biased gene loss and expression continue today and explain, at least in part, the remarkable genetic diversity found among modern maize cultivars.

Description: Whole genome duplications (WGDs) occurred in the distant evolutionary history of many lineages and are particularly frequent in the flowering plant lineages. Following paleopolyploidization in plants, most duplicated genes are deleted by intrachromosomal recombination, a process referred to as fractionation. In the examples studied so far, genes are disproportionately lost from one of the parental subgenomes (biased fractionation) and the subgenome having lost the lowest number of genes is more expressed (genome dominance). In the present study, we analyzed the pattern of gene deletion and gene expression following the most recent WGD in banana (alpha event) and extended our analyses to seven other sequenced plant genomes: poplar, soybean, medicago, arabidopsis, sorghum, brassica, and maize. We propose a new class of ancient WGD, with Musa (alpha), poplar, and soybean as members, where genes are both deleted and expressed to an equal extent (unbiased fractionation and genome equivalence). We suggest that WGDs with genome dominance and biased fractionation (Class I) may result from ancient allotetraploidies, while WGDs without genome dominance or biased fractionation (Class II) may result from ancient autotetraploidies.

Description: Pearl millet is a non-model grain and fodder crop adapted to extremely hot and dry environments globally. In India, a great deal of public and private sectors’ investment has focused on developing pearl millet single cross hybrids based on the cytoplasmic-genetic male sterility (CMS) system, while in Africa most pearl millet production relies on open pollinated varieties. Pearl millet lines were phenotyped for both the inbred parents and hybrids stage. Many breeding efforts focus on phenotypic selection of inbred parents to generate improved parental lines and hybrids. This study evaluated two genotyping techniques and four genomic selection schemes in pearl millet. Despite the fact that 6 x more sequencing data were generated per sample for RAD-seq than for tGBS, tGBS yielded more than 2 x as many informative SNPs (defined as those having MAF 〉 0.05) than RAD-seq. A genomic prediction scheme utilizing only data from hybrids generated prediction accuracies (median) ranging from 0.73-0.74 (1000-grain weight), 0.87-0.89 (days to flowering time), 0.48-0.51 (grain yield) and 0.72-0.73 (plant height). For traits with little to no heterosis, hybrid only and hybrid/inbred prediction schemes performed almost equivalently. For traits with significant mid-parent heterosis, the direct inclusion of phenotypic data from inbred lines significantly ( P 〈 0.05) reduced prediction accuracy when all lines were analyzed together. However, when inbreds and hybrid trait values were both scored relative to the mean trait values for the respective populations, the inclusion of inbred phenotypic datasets moderately improved genomic predictions of the hybrid genomic estimated breeding values. Here we show that modern approaches to genotyping by sequencing can enable genomic selection in pearl millet. While historical pearl millet breeding records include a wealth of phenotypic data from inbred lines, we demonstrate that the naive incorporation of this data into a hybrid breeding program can reduce prediction accuracy, while controlling for the effects of heterosis per se allowed inbred genotype and trait data to improve the accuracy of genomic estimated breeding values for pearl millet hybrids.