Precursor proteins containing mitochondrial peptide signals are cleaved after import by a mitochondrial processing peptidase. In yeast (Saccharomyces cerevisiae) and human (Homo sapiens), INTERMEDIATE CLEAVAGE PEPTIDASE55 (ICP55) plays a role in stabilizing mitochondrial proteins by the removal of single amino acids from mitochondrial processing peptidase-processed proteins. We have investigated the role of a metallopeptidase (At1g09300) from Arabidopsis (Arabidopsis thaliana) that has sequence similarity to yeast ICP55. We identified this protein in mitochondria by mass spectrometry and have studied its function in a transfer DNA insertion line (icp55). Monitoring of amino-terminal peptides showed that Arabidopsis ICP55 was responsible for the removal of single amino acids, and its action explained the 23 arginine processing motif of a number of mitochondrial proteins. ICP55 also removed single amino acids from mitochondrial proteins known to be cleaved at nonconserved arginine sites, a subset of mitochondrial proteins specific to plants. Faster mitochondrial protein degradation rates not only for ICP55 cleaved protein but also for some non-ICP55 cleaved proteins were observed in Arabidopsis mitochondrial samples isolated from icp55 than from the wild type, indicating that a complicated protease degradation network has been affected. The lower protein stability of isolated mitochondria and the lack of processing of target proteins in icp55 were complemented by transformation with the full-length ICP55. Analysis of in vitro degradation rates and protein turnover rates in vivo of specific proteins indicated that serine hydroxymethyltransferase was affected in icp55. The maturation of serine hydroxymethyltransferase by ICP55 is unusual, as it involves breaking an aminoterminal diserine that is not known as an ICP55 substrate in other organisms and that is typically considered a sequence that stabilizes rather than destabilizes a protein.

Key message The major soy protein QTL, cqProt-003, was analysed for haplotype diversity and global distribution, and results indicate 304 bp deletion and variable tandem repeats in protein coding regions are likely causal candidates. Abstract Here, we present association and linkage analysis of 985 wild, landrace and cultivar soybean accessions in a pan genomic dataset to characterize the major high-protein/low-oil associated locus cqProt-003 located on chromosome 20. A significant trait-associated region within a 173 kb linkage block was identified, and variants in the region were characterized, identifying 34 high confidence SNPs, 4 insertions, 1 deletion and a larger 304 bp structural variant in the high-protein haplotype. Trinucleotide tandem repeats of variable length present in the second exon of gene Glyma.20G085100 are strongly correlated with the high-protein phenotype and likely represent causal variation. Structural variation has previously been found in the same gene, for which we report the global distribution of the 304 bp deletion and have identified additional nested variation present in high-protein individuals. Mapping variation at the cqProt-003 locus across demographic groups suggests that the high-protein haplotype is common in wild accessions (94.7%), rare in landraces (10.6%) and near absent in cultivated breeding pools (4.1%), suggesting its decrease in frequency primarily correlates with domestication and continued during subsequent improvement. However, the variation that has persisted in under-utilized wild and landrace populations holds high breeding potential for breeders willing to forego seed oil to maximize protein content. The results of this study include the identification of distinct haplotype structures within the high-protein population, and a broad characterization of the genomic context and linkage patterns of cqProt-003 across global populations, supporting future functional characterization and modification.

Genomic selection approaches have increased the speed of plant breeding, leading to growing crop yields over the last decade. However, climate change is impacting current and future yields, resulting in the need to further accelerate breeding efforts to cope with these changing conditions. Here we present approaches to accelerate plant breeding and incorporate nonadditive effects in genomic selection by applying state-of-the-art machine learning approaches. These approaches are made more powerful by the inclusion of pangenomes, which represent the entire genome content of a species. Understanding the strengths and limitations of machine learning methods, compared with more traditional genomic selection efforts, is paramount to the successful application of these methods in crop breeding. We describe examples of genomic selection and pangenome-based approaches in crop breeding, discuss machine learning-specific challenges, and highlight the potential for the application of machine learning in genomic selection. We believe that careful implementation of machine learning approaches will support crop improvement to help counter the adverse outcomes of climate change on crop production.

Protein homeostasis in eukaryotic organelles and their progenitor prokaryotes is regulated by a series of proteases including the caseinolytic protease (CLPP). CLPP has essential roles in chloroplast biogenesis and maintenance, but the significance of the plant mitochondrial CLPP remains unknown and factors that aid coordination of nuclear-and mitochondrial-encoded subunits for complex assembly in mitochondria await discovery. We generated knockout lines of the single gene for the mitochondrial CLP protease subunit, CLPP2, in Arabidopsis (Arabidopsis thaliana). Mutants showed a higher abundance of transcripts from mitochondrial genes encoding oxidative phosphorylation protein complexes, whereas nuclear genes encoding other subunits of the same complexes showed no change in transcript abundance. By contrast, the protein abundance of specific nuclear-encoded subunits in oxidative phosphorylation complexes I and V increased in CLPP2 knockouts, without accumulation of mitochondrial-encoded counterparts in the same complex. Complexes with subunits mainly or entirely encoded in the nucleus were unaffected. Analysis of protein import and function of complex I revealed that while function was retained, protein homeostasis was disrupted, leading to accumulation of soluble subcomplexes of nuclear-encoded subunits. Therefore, CLPP2 contributes to the mitochondrial protein degradation network through supporting coordination and homeostasis of protein complexes encoded across mitochondrial and nuclear genomes.