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Background: Yield and quality are the two most important traits in crop breeding. Exploring the regulatory mechanisms that affect both yield and quality traits is of great significance for understanding the molecular genetic networks controlling these key crop attributes. Expansins are cell wall loosening proteins that play important roles in regulating rice grain size.
Results: We investigated the effect of OsEXPA7, encoding an expansin, on rice grain size and quality. OsEXPA7 overexpression resulted in increased plant height, panicle length, grain length, and thousand-grain weight in rice. OsEXPA7 overexpression also affected gel consistency and amylose content in rice grains, thus affecting rice quality. Subcellular localization and tissue expression analyses showed that OsEXPA7 is localized on the cell wall and is highly expressed in the panicle. Hormone treatment experiments revealed that OsEXPA7 expression mainly responds to methyl jasmonate, brassinolide, and gibberellin. Transcriptome analysis and RT-qPCR experiments showed that overexpression of OsEXPA7 affects the expression of OsJAZs in the jasmonic acid pathway and BZR1 and GE in the brassinosteroid pathway. In addition, OsEXPA7 regulates the expression of key quantitative trait loci related to yield traits, as well as regulates the expression levels of BIP1 and bZIP50 involved in the seed storage protein biosynthesis pathway.
Conclusions: These results reveal that OsEXPA7 positively regulates rice yield traits and negatively regulates grain quality traits by involving plant hormone pathways and other trait-related pathway genes. These findings increase our understanding of the potential mechanism of expansins in regulating rice yield and quality traits and will be useful for breeding high-yielding and high-quality rice cultivars.
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http://dx.doi.org/10.1186/s12284-024-00715-x | DOI Listing |
Theor Appl Genet
September 2025
Institute for Breeding Research on Agricultural Crops, Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Sanitz, 18190, Germany.
Low-cost and high-throughput RNA sequencing data for barley RILs achieved GP performance comparable to or better than traditional SNP array datasets when combined with parental whole-genome sequencing SNP data. The field of genomic selection (GS) is advancing rapidly on many fronts including the utilization of multi-omics datasets with the goal of increasing prediction ability and becoming an integral part of an increasing number of breeding programs ensuring future food security. In this study, we used RNA sequencing (RNA-Seq) data to perform genomic prediction (GP) on three related barley RIL populations.
View Article and Find Full Text PDFCurr Opin Insect Sci
September 2025
Department of Entomology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA. Electronic address:
The association of plants with beneficial soil microbes, including arbuscular mycorrhizal fungi (AMF) and plant growth-promoting rhizobacteria (PGPR), can enhance plant growth and nutrient uptake while modifying plant traits including growth rate, architecture, nutritional quality, secondary metabolites, phytohormones and volatile organic compounds (VOCs), necessary for interactions with insect pests and their natural enemies. Microbe-induced effects on insect herbivores and their natural enemies can be positive, neutral, or negative and are context dependent, creating the need for continued synthesis of published research to identify emerging patterns, recognize limitations, and guide future research. This perspective highlights three key pathways through which beneficial soil microbes drive interactions among agricultural plants, insect pests, and their natural enemies through the lens of applied research: (1) alterations in plant growth rate, architecture, and nutritional quality; (2) modifications of plant secondary metabolites and phytohormones; and (3) modifications in the emissions of volatile organic compounds.
View Article and Find Full Text PDFJ Affect Disord
September 2025
Department of Psychology, Indiana University Indianapolis, 402 N. Blackford St., LD 100E, Indianapolis, IN, USA. Electronic address:
Background: Integrating digital mental health into collaborative care could address multiple mental health factors. To determine the longer-term effects of modernized collaborative care for depression on overlapping mental health factors, we analyzed data from the eIMPACT trial.
Methods: Primary care patients with depression and elevated cardiovascular disease risk (N = 216, Mage: 59 years, 78 % female, 50 % Black, 46 % with income <$10,000/year) were randomized to 12 months of the eIMPACT intervention (modernized collaborative care involving internet cognitive-behavioral therapy [iCBT], telephonic CBT, and/or select antidepressants) or usual primary care for depression.
JMIR Res Protoc
September 2025
Institute for Collaboration on Health, Intervention, and Policy, University of Connecticut, Storrs, CT, United States.
Background: Children in the United States have poor diet quality, increasing their risk for chronic disease burden later in life. Caregivers' feeding behaviors are a critical factor in shaping lifelong dietary habits. The Strong Families Start at Home/Familias Fuertes Comienzan en Casa (SFSH) was a 6-month, home-based, pilot randomized-controlled feasibility trial that aimed to improve the diet quality of 2-5-year-old children and promote positive parental feeding practices among a predominantly Hispanic/Latine sample.
View Article and Find Full Text PDFSci Adv
September 2025
Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China.
Grain size substantially influences rice quality and yield. In this study, we identified (), a quantitative trait locus encoding an F-box protein that enhances grain length by promoting cell proliferation. The transcription factor OsbZIP35 represses expression, while COR1 interacts with OsTCP19, leading to its degradation.
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