Sugar beet (Beta vulgaris L.) is a biennial herb belonging to the Amaranthaceae family. It contributes to approximately 30% of the world’s total sucrose production and is an economically important crop. In this study, we analyzed the genetic diversity and population structure of 132 exotic sugar beet varieties using three molecular makers: four pairs of simple sequence repeat (SSR) primers, three pairs of insertion–deletion sequence (InDel) primers, and 20 cis-element amplification polymorphism (CEAP) primers. The results indicated that the number of alleles (Na) was 298, among which the number of effective alleles (Ne) was 182.426 (accounting for approximately 61.2%). The mean value of the genetic diversity index was 0.836. The polymorphic information content (PIC) was 0.639–0.907 (mean = 0.819), indicating a high level of polymorphism. These sugar beet varieties were classified into six clusters using the UPGMA method of cluster analysis. Population structure analysis revealed that the most ideal K value was 6. This indicated that the test materials could be divided into six categories, consistent with the clustering results. The clustering results indicated that most sugar beet varieties from the same breeding company clustered together, and the genetic distance between them was small, indicating that they may share the same male and/or female parent. Some varieties from different companies clustered together, indicating a narrow genetic base and potential exchange of germplasm resources between breeding companies. This study revealed the genetic differences among exotic sugar beet varieties and characteristics of the population structure. It provided a scientific basis for the identification of sugar beet varieties and markers-assisted breeding in China in the future.

Upland cotton (Gossypium hirsutum L.) is one of the important fiber crops. Cotton flowers usually appear white (or cream-colored) without colored spots at the petal base, and turn pink on the next day after flowering. In this study, using a mutant showing pink petals with crimson spots at their base, we conducted comparative metabolome and transcriptome analyses to investigate the molecular mechanism of coloration in cotton flowers. Metabolic profiling showed that cyanidin-3-O-glucoside and glycosidic derivatives of pelargonidins and peonidins are the main pigments responsible for the coloration of the pink petals of the mutant. A total of 2443 genes differentially expressed (DEGs) between the white and pink petals were identified by RNA-sequencing. Many DEGs are structural genes and regulatory genes of the anthocyanin biosynthesis pathway. Among them, MYB21, UGT88F3, GSTF12, and VPS32.3 showed significant association with the accumulation of cyanidin-3-O-glucoside in the pink petals. Taken together, our study preliminarily revealed the metabolites responsible for the pink petals and the key genes regulating the biosynthesis and accumulation of anthocyanins in the pink petals. The results provide new insights into the biochemical and molecular mechanism underlying anthocyanin biosynthesis in upland cotton.

ACO is one of the rate-limiting enzymes in the biosynthesis of ethylene, and it plays a critical role in the regulation of plant growth and development. However, the function of ACO genes in cotton is not well studied. In this study, a total of 332 GhACOs, 187 GaACOs, and 181 GrACOs were identified in G. hirsutum, G. arboretum, and G. raimondii, respectively. Gene duplication analysis showed that whole-genome duplication (WGD) and tandem duplication were the major forces driving the generation of cotton ACO genes. In the promoters of GhACOs, there were cis-acting elements responding to stress, phytohormones, light, and circadian factors, indicating the possible involvement of GhACOs in these processes. Expression and co-expression analyses illustrated that most GhACOs were not only widely expressed in various tissues but also coexpressed with other genes in response to salt and drought stress. GhACO106_At overexpression in Arabidopsis promoted flowering and increased salt tolerance. These results provide a comprehensive overview of the ACO genes of cotton and lay the foundation for subsequent functional studies of these genes.

Sugar beet production is threatened by beetroot rot, which can be triggered by consecutive monoculture. Previous studies have shown the beneficial function of microbes affiliated with different plant compartments in inhibiting various plant pathogens. However, whether sugar beet root can recruit particular microbes at the risk of beet rot is still unclear. Therefore, this study explored the composition and community structure of bacteria and fungi of the different compartments (endosphere root, rhizosphere, bulk soil) under two farming modes (monoculture and rotation). Our result showed that the farming mode significantly affected the community structure of bacteria and fungi in bulk soil. In the rhizosphere, the community structures of bacteria between the two varieties were similar under rotation mode, and markedly different under monoculture mode. The bacterial and fungal diversity in the rhizosphere and endophytic root of the rot-suppressive variety was higher than in the rot-conducive variety. Under monoculture mode, the beneficial microbes as biomarkers were enriched in the rot-resistant variety, e.g., operational taxonomic units (OTUs) affiliated to the genus of Sordariomycetes, Cordycipitaceae, Lecanicillium, Plectosphaerellaceae, S085, Pedosphaeraceae in the rhizosphere and the genus of Actinobacteria, and Pseudonocardia, Exobasidiomycetes in the endophytic root, while for the rot-conducive variety, OTUs affiliated to the genus of Chitinophagaceae, Flavisolibacter in the rhizosphere and the Novosphingobium, Sphingobacterium, Tilletiopsis_washingtonensis, and Flavobacterium in the endophytic root. The network analysis showed that OTUs affiliated to the order of Saccharimonadales, Anaerolineae, the family of Saprospiraceae, the genus of Subgroup_10 (belonging to the family of Thermoanaerobaculaceae), Lysobacter, and AKYG587 were the keystone taxa in the rot-suppressive variety, while both beneficial and harmful microbes in the rot-conducive variety, such as Pedobacter, Ferruginibacter, and P3OB-42, were present. The variation in soil pH was shown to be the critical contributor to the microbial difference. In summary, the farming mode is critical in shaping bulk soil microbial structure by changing soil pH. Under monoculture mode, the rot-suppressive variety has more microbial diversity in both the rhizosphere and endophytic root, and enriched different beneficial microbes relative to the rot-conducive variety; the underlying mechanisms and associations of critical microbes are worth further investigation.

This study aimed to investigate the effects of varying organic fertilizer substitution ratios on soil nutrients, organic matter, enzyme activities, and microbial communities, with the goal of optimizing fertilization strategies, enhancing soil fertility, and promoting sustainable agricultural development. Experimental Design: A three-year consecutive field experiment was conducted using an equal nitrogen application design with the following treatments: no fertilizer control (CK), conventional farmer fertilization (CF), and organic fertilizer substitutions at 10% (SF1), 20% (SF2), 30% (SF3), 40% (SF4), and 50% (SF5) of chemical fertilizer. Key soil parameters were analyzed, including available nutrients (alkali-hydrolyzable nitrogen, available phosphorus, and available potassium), organic matter content, enzyme activities (e.g., urease and phosphatase), and microbial community structure (bacterial and fungal diversity and abundance). Results: Partial substitution with organic fertilizer significantly enhanced soil available nutrient content and organic matter levels, with the 30–50% substitution treatments (SF3–SF5) demonstrating particularly pronounced effects. Moreover, organic fertilizer amendments markedly improved soil enzyme activities and altered microbial community composition, notably increasing the abundance of beneficial taxa such as Gemmatimonadota. These modifications further facilitated soil nutrient cycling and utilization efficiency. Conclusions: The findings demonstrate that appropriate organic fertilizer substitution not only improves soil fertility but also enhances microbial activity, thereby creating a healthier soil environment for crop growth. This study provides critical theoretical and practical insights for optimizing fertilization regimes, reducing chemical fertilizer reliance, and improving soil ecosystem functionality.

Cotton breeding for the development of early-maturing varieties is an effective way to improve multiple cropping indexes and alleviate the conflict between grains and cotton in the cultivated fields in China. In the present study, we aimed to identify upland cotton quantitative trait loci (QTLs) and candidate genes related to early-maturity traits, including whole growth period (WGP), flowering timing (FT), node of the first fruiting branch (NFFB), height of the node of the first fruiting branch (HNFFB), and plant height (PH). An early-maturing variety, CCRI50, and a late-maturing variety, Guoxinmian 11, were crossed to obtain biparental populations. These populations were used to map QTLs for the early-maturity traits for two years (2020 and 2021). With BSA-seq analysis based on the data of population 2020, the candidate regions related to early maturity were found to be located on chromosome D03. We then developed 22 polymorphic insertions or deletions (InDel) markers to further narrow down the candidate regions, resulting in the detection of five and four QTLs in the 2020 and 2021 populations, respectively. According to the results of QTL mapping, two candidate regions (InDel_G286-InDel_G144 and InDel_G24-InDel_G43) were detected. In these regions, three genes (GH_D03G0451, GH_D03G0649, and GH_D03G1180) have non-synonymous mutations in their exons and one gene (GH_D03G0450) has SNP variations in the upstream sequence between CCRI50 and Guoxinmian 11. These four genes also showed dominant expression in the floral organs. The expression levels of GH_D03G0451, GH_D03G0649 and GH_D03G1180 were significantly higher in CCRI50 than in Guoxinmian 11 during the bud differentiation stages, while GH_D03G0450 showed the opposite trend. Further functional verification of GH_D03G0451 indicated that the GH_D03G0451-silenced plants showed a delay in the flowering time. The results suggest that these are the candidate genes for cotton early maturity, and they may be used for breeding early-maturity cotton varieties.