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Over the last several years, foot rot caused by Diaporthe destruens has become the most destructive sweetpotato disease in the southernmost region of Japan. Breeding of cultivars resistant to foot rot is required for effective and low-cost management. Field tests are often used to evaluate resistance of cultivars, but this approach has several limitations, including a long test period of several months and the requirement of field isolation and labor-intensive procedures. To minimize these issues, we have developed an easier and faster laboratory method using stem cuttings for the resistance test by optimizing four parameters: the number of unfolded leaves per cuttings, the positions of stems from which a cutting was prepared, the adequate number of culture days after inoculation, and the density of conidia of D. destruens at inoculation. Significant correlation was detected between the resistance indices of the laboratory test and the field test, namely, the length of the rotted part of a stem and the proportion of the plants rotted at the basal part of a stem, respectively. These results indicated that the laboratory test could indirectly evaluate the foot rot resistance of sweetpotato stems in the field and will be helpful to breed resistant cultivars., (Copyright © 2024 by JAPANESE SOCIETY OF BREEDING.)

The bacterial community of a potato phytosphere at the flowering stage was examined using both culture-dependent and -independent methods. Tissues (leaves, stems, roots and tubers) were sampled from field-grown potato plants (cultivar Matilda), and the clone libraries of 16S rRNA genes and the isolate collections using R2A medium were constructed. By analyzing the combined data set of 16S rRNA gene sequences from both clone libraries and isolate collections, 82 genera from 8 phyla were found and 237 OTUs (≥97% identity) at species level were identified across the potato phytosphere. The statistical analyses of clone libraries suggested that stems harbor the lowest diversity among the tissues examined. The phylogenetic analyses revealed that the most dominant phylum was shown to be Proteobacteria for all tissues (62.0%-89.7% and 57.7%-72.9%, respectively), followed by Actinobacteria (5.0%-10.7% and 14.6%-39.4%, respectively). The results of principal coordinates analyses of both clone libraries and isolate collections indicated that distinct differences were observed between above- and below-ground tissues for bacterial community structures. The results also revealed that leaves harbored highly similar community structures to stems, while the tuber community was shown to be distinctly different from the stem and root communities.