Comparison of Brassica Genomes reveals asymmetrical gene retention between functional groups of genes in recurrent polyploidizations

Expression dosage effects of a small number of genes after the artificial doubling of weeping forsythia

Whole genome doubling (WGD) plays a critical role in plant evolution, yet the mechanisms underlying the maintenance of overall equilibrium following an artificial doubling event, as well as its impact on phenotype and adaptability, remain unclear. By comparing the gene expression of naturally occurring weeping forsythia diploids and colchicine-induced autotetraploids under normal growth conditions and cold stress, we identified gene expression dosage responses resulting from ploidy change. Only a small proportion of effectively expressed genes showed dosage effect, and most genes did not exhibit significant expression differences. However, the genes that showed expression dosage effect were largely random. The autotetraploids had slower overall growth rates, possibly resulting from negative gene dosage effects on zeatin synthesis and multiple metabolic delays caused by other negative dosage genes. Our comparative analysis of cold response genes in diploids and autotetraploids revealed that genes related to "response to abscisic acid" and "cold acclimation" were key factors contributing to greater cold tolerance in the autotetraploids. In particular, gene expression related to "cold acclimation" might mitigate the effects of cold stress. Taken together, our findings suggested that overall gene expression equilibrium following WGD of weeping forsythia autotetraploids was achieved through the inactivation of the majority of duplicated genes. Our research provides new insights into the mechanisms regulating expression dosage balance following polyploidization events.

syntenet: an R/Bioconductor package for the inference and analysis of synteny networks

SUMMARY

Interpreting and visualizing synteny relationships across several genomes is a challenging task. We previously proposed a network-based approach for better visualization and interpretation of large-scale microsynteny analyses. Here, we present syntenet, an R package to infer and analyze synteny networks from whole-genome protein sequence data. The package offers a simple and complete framework, including data preprocessing, synteny detection and network inference, network clustering and phylogenomic profiling, and microsynteny-based phylogeny inference. Graphical functions are also available to create publication-ready plots. Synteny networks inferred with syntenet can highlight taxon-specific gene clusters that likely contributed to the evolution of important traits, and microsynteny-based phylogenies can help resolve phylogenetic relationships under debate.

AVAILABILITY AND IMPLEMENTATION

syntenet is available on Bioconductor (https://bioconductor.org/packages/syntenet), and the source code is available on a GitHub repository (https://github.com/almeidasilvaf/syntenet).

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

Transcription factor retention through multiple polyploidization steps in wheat

Whole-genome duplication is widespread in plant evolutionary history and is followed by nonrandom gene loss to return to a diploid state. Across multiple angiosperm species, the retained genes tend to be dosage-sensitive regulatory genes such as transcription factors, yet data for younger polyploid species is sparse. Here, we analyzed the retention, expression, and genetic variation in transcription factors in the recent allohexaploid bread wheat (Triticum aestivum L.). By comparing diploid, tetraploid, and hexaploid wheat, we found that, following each of two hybridization and whole-genome duplication events, the proportion of transcription factors in the genome increased. Transcription factors were preferentially retained over other genes as homoeologous groups in tetraploid and hexaploid wheat. Across cultivars, transcription factor homoeologs contained fewer deleterious missense mutations than nontranscription factors, suggesting that transcription factors are maintained as three functional homoeologs in hexaploid wheat populations. Transcription factor homoeologs were more strongly coexpressed than nontranscription factors, indicating conservation of function between homoeologs. We found that the B3, MADS-M-type, and NAC transcription factor families were less likely to have three homoeologs present than other families, which was associated with low expression levels and high levels of tandem duplication. Together, our results show that transcription factors are preferentially retained in polyploid wheat genomes although there is variation between families. Knocking out one transcription factor homoeolog to alter gene dosage, using TILLING or CRISPR, could generate new phenotypes for wheat breeding.