The Arabidopsis pre-mRNA 3' end processing related protein FIP1 promotes seed dormancy via the DOG1 and ABA pathways

Landscape genomics reveals genetic signals of environmental adaptation of African wild eggplants

Crop wild relatives (CWR) provide a valuable resource for improving crops. They possess desirable traits that confer resilience to various environmental stresses. To fully utilize crop wild relatives in breeding and conservation programs, it is important to understand the genetic basis of their adaptation. Landscape genomics associates environments with genomic variation and allows for examining the genetic basis of adaptation. Our study examined the differences in allele frequency of 15,416 single nucleotide polymorphisms (SNPs) generated through genotyping by sequencing approach among 153 accessions of 15 wild eggplant relatives and two cultivated species from Africa, the principal hotspot of these wild relatives. We also explored the correlation between these variations and the bioclimatic and soil conditions at their collection sites, providing a comprehensive understanding of the genetic signals of environmental adaptation in African wild eggplant. Redundancy analysis (RDA) results showed that the environmental variation explained 6% while the geographical distances among the collection sites explained 15% of the genomic variation in the eggplant wild relative populations when controlling for population structure. Our findings indicate that even though environmental factors are not the main driver of selection in eggplant wild relatives, it is influential in shaping the genomic variation over time. The selected environmental variables and candidate SNPs effectively revealed grouping patterns according to the environmental characteristics of sampling sites. Using four genotype-environment association methods, we detected 396 candidate SNPs (2.5% of the initial SNPs) associated with eight environmental factors. Some of these SNPs signal genes involved in pathways that help adapt to environmental stresses such as drought, heat, cold, salinity, pests, and diseases. These candidate SNPs will be useful for marker-assisted improvement and characterizing the germplasm of this crop for developing climate-resilient eggplant varieties. The study provides a model for applying landscape genomics to other crops' wild relatives.

Natural variation in the plant polyadenylation complex

Messenger RNA polyadenylation, the process wherein the primary RNA polymerase II transcript is cleaved and a poly(A) tract added, is a key step in the expression of genes in plants. Moreover, it is a point at which gene expression may be regulated by determining the functionality of the mature mRNA. Polyadenylation is mediated by a complex (the polyadenylation complex, or PAC) that consists of between 15 and 20 subunits. While the general functioning of these subunits may be inferred by extending paradigms established in well-developed eukaryotic models, much remains to be learned about the roles of individual subunits in the regulation of polyadenylation in plants. To gain further insight into this, we conducted a survey of variability in the plant PAC. For this, we drew upon a database of naturally-occurring variation in numerous geographic isolates of Arabidopsis thaliana. For a subset of genes encoding PAC subunits, the patterns of variability included the occurrence of premature stop codons in some Arabidopsis accessions. These and other observations lead us to conclude that some genes purported to encode PAC subunits in Arabidopsis are actually pseudogenes, and that others may encode proteins with dispensable functions in the plant. Many subunits of the PAC showed patterns of variability that were consistent with their roles as essential proteins in the cell. Several other PAC subunits exhibit patterns of variability consistent with selection for new or altered function. We propose that these latter subunits participate in regulatory interactions important for differential usage of poly(A) sites.