Ryegrass organelle genomes: phylogenomics and sequence evaluation
Lolium perenne L.
Plastid genome diversity
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CitationDiekmann, Kerstin.(2010) Ryegrass organelle genomes: phylogenomics and sequence evaluation. University of Dublin, Trinity College.
AbstractPerennial ryegrass (Lolium perenne L.) is the most important forage grass of temperate regions of the world. The main objective in breeding perennial ryegrass cultivars is to increase its biomass. Chloroplasts and mitochondria are two organelles of the plant cell that are actively involved in biomass production. Chloroplasts derive from cyanobacteria and are the location of photosynthesis in plant cells. Mitochondria derive from α-proteobacteria and are involved in cell respiration. Due to their evolutionary history both organelles still contain their own genome which is in general maternally inherited. The interest in chloroplast genome sequences increased in recent years because they offer a useful option for plant genetic engineering. The risk of transgene escape via pollen flow is reduced while the expression of the transgene due to the high number of chloroplast genome copies is increased (in comparison to nuclear genome transformation). Mitochondrial genomes are of special interest because they are involved in cytoplasmic male sterility. Cytoplasmic male sterility is a very important trait in plant breeding programmes because it enables the cost efficient production of hybrid seed. Additionally, both organelle genomes can be used for molecular evolution or phylogenetic studies, as well as for population genetic approaches. Therefore the major aim of this thesis was to sequence the entire chloroplast and mitochondrial genomes of L. perenne to provide sequence information for chloroplast genetic engineering approaches, insights into the mitochondrial genome of a male fertile L. perenne cultivar and to gather knowledge about sequence variation in both genomes that can be used to design new markers for phylogenetic and population genetic studies.
FunderTeagasc Walsh Fellowship Programme
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Genomic prediction of dry matter intake in dairy cattle from an international data set consisting of research herds in Europe, North America, and Australasiade Haas, Y.; Pryce, J. E.; Calus, M. P. L.; Wall, E.; Berry, Donagh P.; Lovendahl, P.; Krattenmacher, N.; Miglior, F.; Weigel, K.; Spurlock, D.; MacDonald, K. A.; Hulsegge, B.; Veerkamp, R. F.; European Commission; gDMI consortium; 317697 (Elsevier for American Dairy Science Association, 2015-07)With the aim of increasing the accuracy of genomic estimated breeding values for dry matter intake (DMI) in Holstein-Friesian dairy cattle, data from 10 research herds in Europe, North America, and Australasia were combined. The DMI records were available on 10,701 parity 1 to 5 records from 6,953 cows, as well as on 1,784 growing heifers. Predicted DMI at 70 d in milk was used as the phenotype for the lactating animals, and the average DMI measured during a 60- to 70-d test period at approximately 200 d of age was used as the phenotype for the growing heifers. After editing, there were 583,375 genetic markers obtained from either actual high-density single nucleotide polymorphism (SNP) genotypes or imputed from 54,001 marker SNP genotypes. Genetic correlations between the populations were estimated using genomic REML. The accuracy of genomic prediction was evaluated for the following scenarios: (1) within-country only, by fixing the correlations among populations to zero, (2) using near-unity correlations among populations and assuming the same trait in each population, and (3) a sharing data scenario using estimated genetic correlations among populations. For these 3 scenarios, the data set was divided into 10 sub-populations stratified by progeny group of sires; 9 of these sub-populations were used (in turn) for the genomic prediction and the tenth was used for calculation of the accuracy (correlation adjusted for heritability). A fourth scenario to quantify the benefit for countries that do not record DMI was investigated (i.e., having an entire country as the validation population and excluding this country in the development of the genomic predictions). The optimal scenario, which was sharing data, resulted in a mean prediction accuracy of 0.44, ranging from 0.37 (Denmark) to 0.54 (the Netherlands). Assuming near-unity among-country genetic correlations, the mean accuracy of prediction dropped to 0.40, and the mean within-country accuracy was 0.30. If no records were available in a country, the accuracy based on the other populations ranged from 0.23 to 0.53 for the milking cows, but were only 0.03 and 0.19 for Australian and New Zealand heifers, respectively; the overall mean prediction accuracy was 0.37. Therefore, there is a benefit in collaboration, because phenotypic information for DMI from other countries can be used to augment the accuracy of genomic evaluations of individual countries.
The Roles of Whole-Genome and Small-Scale Duplications in the Functional Specialization of Saccharomyces cerevisiae GenesFares, Mario A; Keane, Orla M; Toft, Christina; Carretero-Paulet, Lorenzo; Jones, Gary W (PLoS, 2013-01-03)Researchers have long been enthralled with the idea that gene duplication can generate novel functions, crediting this process with great evolutionary importance. Empirical data shows that whole-genome duplications (WGDs) are more likely to be retained than small-scale duplications (SSDs), though their relative contribution to the functional fate of duplicates remains unexplored. Using the map of genetic interactions and the re-sequencing of 27 Saccharomyces cerevisiae genomes evolving for 2,200 generations we show that SSD-duplicates lead to neo-functionalization while WGD-duplicates partition ancestral functions. This conclusion is supported by: (a) SSD-duplicates establish more genetic interactions than singletons and WGD-duplicates; (b) SSD-duplicates copies share more interaction-partners than WGD-duplicates copies; (c) WGDduplicates interaction partners are more functionally related than SSD-duplicates partners; (d) SSD-duplicates gene copies are more functionally divergent from one another, while keeping more overlapping functions, and diverge in their subcellular locations more than WGD-duplicates copies; and (e) SSD-duplicates complement their functions to a greater extent than WGD–duplicates. We propose a novel model that uncovers the complexity of evolution after gene duplication
Comparative and functional genomics of the Lactococcus lactis taxon; insights into evolution and niche adaptationKelleher, Philip; Bottacini, Francesca; Mahony, Jennifer; Kilcawley, Kieran N; van Sinderen, Douwe; Department of Agriculture, Food and the Marine, Ireland; Science Foundation Ireland; 10/RD/TMFRC/704; 13/IA/1953; 14/TIDA/2287; 15/SIRG/3430 (Biomed Central, 29/03/2017)Background Lactococcus lactis is among the most widely studied lactic acid bacterial species due to its long history of safe use and economic importance to the dairy industry, where it is exploited as a starter culture in cheese production. Results In the current study, we report on the complete sequencing of 16 L. lactis subsp. lactis and L. lactis subsp. cremoris genomes. The chromosomal features of these 16 L. lactis strains in conjunction with 14 completely sequenced, publicly available lactococcal chromosomes were assessed with particular emphasis on discerning the L. lactis subspecies division, evolution and niche adaptation. The deduced pan-genome of L. lactis was found to be closed, indicating that the representative data sets employed for this analysis are sufficient to fully describe the genetic diversity of the taxon. Conclusions Niche adaptation appears to play a significant role in governing the genetic content of each L. lactis subspecies, while (differential) genome decay and redundancy in the dairy niche is also highlighted.