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Allopolyploidization is widespread and has played a major role in flowering plant diversification. Genomic changes are common consequences of allopolyploidization, but their mechanisms of occurrence and dynamics over time are still poorly understood. Coffea arabica, a recently formed allotetraploid, was chosen as a model to investigate genetic changes in allopolyploid using an approach that exploits next-generation sequencing technologies. Genes affected by putative homoeolog loss were inferred by comparing the numbers of single-nucleotide polymorphisms detected using RNA-seq in individual accessions of C. arabica, and between accessions of its two diploid progenitor species for common sequence positions. Their physical locations were investigated and clusters of genes exhibiting homoeolog loss were identified. To validate these results, genome sequencing data were generated from one accession of C. arabica and further analyzed. Genomic rearrangements involving homoeologous exchanges appear to occur in C. arabica and to be a major source of genetic diversity. At least 5% of the C. arabica genes were inferred to have undergone homoeolog loss. The detection of a large number of homoeologous exchange events ( HEEs) shared by all accessions of C. arabica strongly reinforces the assumption of a single allopolyploidization event. Furthermore, HEEs were specific to one or a few accessions, suggesting that HEE accumulates gradually. Our results provide evidence for the important role of HEE in allopolyploid genome evolution. [ABSTRACT FROM AUTHOR]

Background: Bananas (Musa spp.) are an important crop worldwide. Most modern cultivars resulted from a complex polyploidization history that comprised three whole genome duplications (WGDs) shaping the haploid Musa genome, followed by inter- and intra-specific crosses between Musa acuminata and M. balbisiana (A and B genome, respectively). Unresolved hybridizations finally led to banana diversification into several autotriploid (AAA) and allotriploid cultivars (AAB and ABB). Using transcriptomic data, we investigated the impact of the genome structure on gene expression patterns in roots of 12 different triploid genotypes covering AAA, AAB and ABB subgenome constitutions. Results: We demonstrate that (i) there are different genome structures, (ii) expression patterns go beyond the predicted genomic groups, and (iii) the proportion of the B genome influences the gene expression. The presence of the B genome is associated with a higher expression of genes involved in flavonoid biosynthesis, fatty acid metabolism, amino sugar and nucleotide sugar metabolism and oxidative phosphorylation. There are cultivar-specific chromosome regions with biased B:A gene expression ratios that demonstrate homoeologous exchanges (HE) between A and B sub-genomes. In two cultivars, aneuploidy was detected. We identified 3674 genes with a different expression level between allotriploid and autotriploid with ~ 57% having recently duplicated copies (paralogous). We propose a Paralog Inclusive Expression (PIE) analysis that appears to be suitable for genomes still in a downsizing and fractionation process following whole genome duplications. Our approach allows highlighting the genes with a maximum likelihood to affect the plant phenotype. Conclusions: This study on banana is a good case to investigate the effects of alloploidy in crops. We conclude that allopolyploidy triggered changes in the genome structure of a crop and it clearly influences the gene. [ABSTRACT FROM AUTHOR]