Background: Wheat is a momentous crop and feeds billions of people in the world. The improvement of wheat yield is very important to ensure world food security. Normal development of grain is the essential guarantee for wheat yield formation. The genetic study of grain phenotype and identification of key genes for grain filling are of great significance upon dissecting the molecular mechanism of wheat grain morphogenesis and yield potential.

Results: Here we identified a pair of defective kernel (Dek) isogenic lines, BL31 and BL33, with plump and shrunken mature grains, respectively, and constructed a genetic population from the BL31/BL33 cross. Ten chromosomes had higher frequency of polymorphic single nucleotide polymorphism (SNP) markers between BL31 and BL33 using Wheat660K chip. Totally 783 simple sequence repeat (SSR) markers were chosen from the above chromosomes and 15 of these were integrated into two linkage groups using the genetic population. Genetic mapping identified three QTL, QDek.caas-3BS.1, QDek.caas-3BS.2 and QDek.caas-4AL, explaining 14.78-18.17%, 16.61-21.83% and 19.08-28.19% of phenotypic variances, respectively. Additionally, five polymorphic SNPs from Wheat660K were successfully converted into cleaved amplified polymorphic sequence (CAPS) markers and enriched the target regions of the above QTL. Biochemical analyses revealed that BL33 has significantly higher grain sucrose contents at filling stages and lower mature grain starch contents than BL31, indicating that the Dek QTL may be involved in carbohydrate metabolism. As such, the candidate genes for each QTL were predicated according to International Wheat Genome Sequence Consortium (IWGSC) RefSeq v1.0.

Conclusions: Three major QTL for Dek were identified and their causal genes were predicted, laying a foundation to conduct fine mapping and dissect the regulatory mechanism underlying Dek trait in wheat.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842267PMC
http://dx.doi.org/10.1186/s12870-019-2102-6DOI Listing

Publication Analysis

Top Keywords

defective kernel
8
wheat yield
8
bl31 bl33
8
genetic population
8
wheat
7
grain
6
genetic
5
qtl
5
rapid identification
4
identification characterization
4

Similar Publications

The maize mTERF18 regulates transcriptional termination of the mitochondrial nad6 gene and is essential for kernel development.

J Genet Genomics

January 2025

National Engineering Laboratory of Crop Stress Resistance, College of Life Science, Anhui Agricultural University, Hefei, Anhui 230036, China. Electronic address:

Mitochondria are semi-autonomous organelle present in eukaryotic cells, containing their own genome and transcriptional machinery. However, their functions are intricately linked to proteins encoded by the nuclear genome. Mitochondrial transcription termination factors (mTERFs) are nucleic acid-binding proteins involved in RNA splicing and transcription termination within plant mitochondria and chloroplasts.

View Article and Find Full Text PDF

Radiation Damage Mitigation in FeCrAl Alloy at Sub-Recrystallization Temperatures.

Materials (Basel)

December 2024

Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA 16803, USA.

Traditional defect recovery methods rely on high-temperature annealing, often exceeding 750 °C for FeCrAl. In this study, we introduce electron wind force (EWF)-assisted annealing as an alternative approach to mitigate irradiation-induced defects at significantly lower temperatures. FeCrAl samples irradiated with 5 MeV Zr ions at a dose of 10 cm were annealed using EWF at 250 °C for 60 s.

View Article and Find Full Text PDF

Cervical cancer is a significant health challenge, yet it can be effectively prevented through early detection. Cytology-based screening is critical for identifying cancerous and precancerous lesions; however, the process is labor-intensive and reliant on trained experts to scan through hundreds of thousands of mostly normal cells. To address these challenges, we propose a novel distribution-augmented approach using contrastive self-supervised learning for detecting abnormal squamous cervical cells from cytological images.

View Article and Find Full Text PDF

Rapid online detection of broken rate can effectively guide maize harvest with minimal damage to prevent kernel fungal damage. The broken rate prediction model based on machine vision and machine learning algorithms is proposed in this manuscript. A new dataset of high moisture content maize kernel phenotypic features was constructed by extracting seven features (geometric and shape features).

View Article and Find Full Text PDF

Imbalances in several trace elements related to antioxidant function may lead to autism spectrum disorder (ASD)-related physiological dysfunction. Nonetheless, contradictory results have been found on the connection between these elements and ASD, and studies of their joint effects and interactions have been insufficient. We therefore designed a case-control study of 152 ASD children and 152 age- and sex-matched typically developing (TD) children to explore the individual and combined associations of manganese (Mn), zinc (Zn), copper (Cu), and selenium (Se) with ASD.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!