Genome-wide association study of soybean seed germination under drought stress.

Drought stress, which is increasing with climate change, is a serious threat to agricultural sustainability worldwide. Seed germination is an essential growth phase that ensures the successful establishment and productivity of soybean, which can lose substantial productivity in soils with water deficits. However, only limited genetic information is available about how germinating soybean seeds may exert drought tolerance. In this study, we examined the germinating seed drought-tolerance phenotypes and genotypes of a panel of 259 released Chinese soybean cultivars panel. Based on 4616 Single-Nucleotide Polymorphisms (SNPs), we conducted a mixed-linear model GWAS that identified a total of 15 SNPs associated with at least one drought-tolerance index. Notably, three of these SNPs were commonly associated with two drought-tolerance indices. Two of these SNPs are positioned upstream of genes, and 11 of them are located in or near regions where QTLs have been previously mapped by linkage analysis, five of which are drought-related. The SNPs detected in this study can both drive hypothesis-driven research to deepen our understanding of genetic basis of soybean drought tolerance at the germination stage and provide useful genetic resources that can facilitate the selection of drought stress traits via genomic-assisted selection.

Association study of a functional variant of TNF-α gene and serum TNF-α level with the susceptibility of congenital heart disease in a Chinese population.

BACKGROUND: Congenital heart disease (CHD) is among the leading causes of infant death worldwide. Although shortage of folate has been found potentially to contribute to CHD in the embryo, the aetiology of CHD was not completely understood. Inflammation and altered immune processes are involved in all forms of cardiac malformation, including CHD. Tumour necrosis factor-α (TNF-α), was involved in the pathogenesis of multiple kinds of heart diseases. However, no studies have systematically evaluated the associations of genetic variants of TNF-α with susceptibility of CHD. METHODS: A case-control study was conducted to evaluate the associations between tagSNPs of TNF-α and CHD susceptibility. Serum level of TNF-α was assessed using ELISA. The dual luciferase reporter assay was used to evaluate the functional significance of variant rs1800629 on TNF-α transcriptional activity. RESULTS: We found rs1800629 was significantly correlated with increased CHD susceptibility (OR: 1.72, 95% CI 1.26 to 2.36, p=0.001). Serum levels of TNF-α were significantly higher in CHD group (9.09±1.90 pg/mL) than that in control group (6.12±1.56 pg/mL, p<0.001). The AA genotype and AG genotype of rs1800629 was associated with higher serum TNF-α level, compared with GG genotype. The dual luciferase reporter assay showed that promoter activity was significantly increased by 57% and 76% for plasmids containing the minor A allele compared with the major G allele in H9c2 and HEK 293T, respectively. CONCLUSION: These results indicate that higher level of serum TNF-α increases risk of CHD, while TNF-α rs1800629 A allele might contribute to higher risk for CHD due to the increase in TNF-α expression.

Identification of Drought-Tolerance Genes in the Germination Stage of Soybean.

Drought stress influences the vigor of plant seeds and inhibits seed germination, making it one of the primary environmental factors adversely affecting food security. The seed germination stage is critical to ensuring the growth and productivity of soybeans in soils prone to drought conditions. We here examined the genetic diversity and drought-tolerance phenotypes of 410 accessions of a germplasm diversity panel for soybean and conducted quantitative genetics analyses to identify loci associated with drought tolerance of seed germination. We uncovered significant differences among the diverse genotypes for four growth indices and five drought-tolerance indices, which revealed abundant variation among genotypes, upon drought stress, and for genotype × treatment effects. We also used 158,327 SNP markers and performed GWAS for the drought-related traits. Our data met the conditions (PCA + K) for using a mixed linear model in TASSEL, and we thus identified 26 SNPs associated with drought tolerance indices for germination stage distributed across 10 chromosomes. Nine SNP sites, including, for example, Gm20_34956219 and Gm20_36902659, were associated with two or more phenotypic indices, and there were nine SNP markers located in or adjacent to (within 500 kb) previously reported drought tolerance QTLs. These SNPs led to our identification of 41 candidate genes related to drought tolerance in the germination stage. The results of our study contribute to a deeper understanding of the genetic mechanisms underlying drought tolerance in soybeans at the germination stage, thereby providing a molecular basis for identifying useful soybean germplasm for breeding new drought-tolerant varieties.

Transcriptomic Analysis Revealed the Common and Divergent Responses of Maize Seedling Leaves to Cold and Heat Stresses.

Temperature stresses (TS), including cold and heat stress, adversely affect the growth, development, and yield of maize (Zea mays L.). To clarify the molecular mechanisms of the tolerance of maize seedling leaves to TS, we applied transcriptomic sequencing of an inbred maize line, B73, with seedlings exposed to various temperature conditions, including normal temperature (NT, 25 °C), cold (4, 10, and 16 °C), and heat (37, 42, and 48 °C) stresses. Differentially expressed genes (DEGs) were detected in different comparison between the NT sample and each temperature-stressed sample, with 5358, 5485, 5312, 1095, 2006, and 4760 DEGs responding to TS of 4, 10, 16, 37, 42, and 48 °C, respectively. For cold and heat stresses, 189 DEGs enriched in the hydrogen peroxidase metabolic process, cellular modified amino acid metabolic process, and sulfur compound metabolic process were common. The DEGs encoding calcium signaling and reactive oxygen species scavenging enzymes demonstrated similar expression characterizations, whereas the DEGs encoding transcription factors, such as ERF, ARF, and HSF, hormone signaling, and heat shock proteins, displayed divergent expression models, implying both common and divergent responses to cold and heat stresses in maize seedling leaves. Co-expression network analysis showed that functional DEGs associated with the core regulators in response to cold and heat stresses were significantly correlated with TS, indicating their vital roles in cold and heat adaptation, respectively. Our investigation focused on the response to gradient TS, and the results presented a relatively comprehensive category of genes involved in differential TS responses. These will contribute a better understanding of the molecular mechanisms of maize seedling leaf responses to TS and provide valuable genetic resources for breeding TS tolerant varieties of maize.