A5114378107- Genetic Mapping and Diversity in Plants and Animals
- Genetics and Plant Breeding
- Genetic and phenotypic traits in livestock
- Soybean genetics and cultivation
- Research in Cotton Cultivation
- Wheat and Barley Genetics and Pathology
- Rice Cultivation and Yield Improvement
- Legume Nitrogen Fixing Symbiosis
- GABA and Rice Research
- Plant Reproductive Biology
- Plant pathogens and resistance mechanisms
- Genetic Associations and Epidemiology
- Plant nutrient uptake and metabolism
- Lipid metabolism and biosynthesis
- Plant Virus Research Studies
- Plant and Fungal Interactions Research
- Gene expression and cancer classification
- Plant Molecular Biology Research
- Sodium Intake and Health
- Food composition and properties
- Phytase and its Applications
- COVID-19 epidemiological studies
- Fatty Acid Research and Health
- Plant-Microbe Interactions and Immunity
- Hormonal Regulation and Hypertension
Huazhong Agricultural University
2016-2025
South China Agricultural University
2007-2025
Ningbo University
2016-2025
Chengdu University of Traditional Chinese Medicine
2024
Xinjiang Medical University
2005-2024
Key Laboratory of Guangdong Province
2022-2024
Nanjing Normal University
2022-2024
Beijing Union University
2022-2024
Nanjing Agricultural University
2011-2022
Fuzhou University
2022
Abstract Genome-wide association studies (GWAS) have been widely used in genetic dissection of complex traits. However, common methods are all based on a fixed-SNP-effect mixed linear model (MLM) and single marker analysis, such as efficient analysis (EMMA). These require Bonferroni correction for multiple tests, which often is too conservative when the number markers extremely large. To address this concern, we proposed random-SNP-effect MLM (RMLM) multi-locus RMLM (MRMLM) GWAS. The simply...
The mixed linear model has been widely used in genome-wide association studies (GWAS), but its application to multi-locus GWAS analysis not explored and assessed. Here, we implemented a fast random-SNP-effect EMMA (FASTmrEMMA) for GWAS. is built on random single nucleotide polymorphism (SNP) effects new algorithm. This algorithm whitens the covariance matrix of polygenic K environmental noise, specifies number nonzero eigenvalues as one. first chooses all putative quantitative trait...
Genome-wide association study (GWAS) entails examining a large number of single nucleotide polymorphisms (SNPs) in limited sample with hundreds individuals, implying variable selection problem the high dimensional dataset. Although many single-locus GWAS approaches under polygenic background and population structure controls have been widely used, some significant loci fail to be detected. In this study, we used an iterative modified-sure independence screening (ISIS) approach reducing SNPs...
Multilocus genome-wide association studies (GWAS) have become the state-of-the-art procedure to identify quantitative trait nucleotides (QTNs) associated with complex traits. However, implementation of multilocus model in GWAS is still difficult. In this study, we integrated least angle regression empirical Bayes perform under polygenic background control. We used an algorithm transformation that whitened covariance matrix K and environmental noise. Markers on one chromosome were included...
Mapping multiple QTL is a typical problem of variable selection in an oversaturated model because the potential number can be substantially larger than sample size. Currently, still most effective approach to mapping QTL, although further research needed. An alternative analyzing shrinkage estimation which all candidate variables are included but their estimated effects forced shrink toward zero. In contrast usual where shrunk by same factor, we develop Bayesian method that allows factor...
Although nonparametric methods in genome-wide association studies (GWAS) are robust quantitative trait nucleotide (QTN) detection, the absence of polygenic background control single-marker scans results a high false positive rate. To overcome this issue, we proposed an integrated method for multi-locus GWAS. First, new model transformation was used to whiten covariance matrix K and environmental noise. Using transferred model, Kruskal–Wallis test along with least angle regression then select...
Abstract Background Recent developments in technology result the generation of big data. In genome-wide association studies (GWAS), we can get tens million SNPs that need to be tested for with a trait interest. Indeed, this poses great computational challenge. There is developing fast algorithms GWAS methodologies. These must ensure high power QTN detection, accuracy estimation and low false positive rate. Results Here, accelerated mrMLM algorithm by using GEMMA idea, matrix transformations...
The inheritance of most human diseases and agriculturally important traits is controlled by many genes with small effects. Identifying these genes, while simultaneously controlling false positives, challenging. Among available statistical methods, the mixed linear model (MLM) has been flexible powerful for population structure individual unequal relatedness (kinship), two common causes spurious associations. introduction compressed MLM (CMLM) method provided additional opportunities...
Previous studies have reported that some important loci are missed in single-locus genome-wide association (GWAS), especially because of the large phenotypic error field experiments. To solve this issue, multi-locus GWAS methods been recommended. However, only a few software packages for available. Therefore, we developed an R named mrMLM v4.0.2. This integrates mrMLM, FASTmrMLM, FASTmrEMMA, pLARmEB, pKWmEB, and ISIS EM-BLASSO by our lab. There four components v4.0.2, including dataset...
Cotton is the world's leading cash crop, and genetic improvement of fiber yield quality primary objective cotton breeding program. In this study, we used various approaches to identify QTLs related quality. Firstly, constructed a four-way cross (4WC) mapping population with four base core cultivars, Stoneville 2B, Foster 6, Deltapine 15 Zhongmiansuo No.7 (CRI 7), as parents in Chinese history identified 83 for 11 agronomic traits. Secondly, association agronomical traits was based on 121...
Summary Improving cold tolerance at the flowering stage (CTF) in rice is crucial for minimising yield loss, making identification and application of cold‐tolerant genes QTLs imperative effective molecular breeding. The long lead time, dependence on treatment conditions, inherent complexity trait make studying genetic basis CTF challenging. To date, fine‐mapping or cloning specific to has not yet been achieved. In this study, single segment substitution lines (SSSLs) were constructed using...
Mapping rice cropping areas with optical remote sensing is often a challenge in tropical and subtropical regions because of frequent cloud cover rainfall during the growing season. Synthetic aperture radar (SAR) potential alternative for mapping its all-weather imaging capabilities. The recent Phased Array-type L-band SAR (PALSAR) sensor onboard Advanced Land Observing Satellite (ALOS) acquires multipolarization multitemporal images that are highly suitable mapping. In this pilot study, we...
Many commercial inbred lines are available in crops. A large amount of genetic variation is preserved among these lines. The genealogical history the usually well documented. However, quantitative trait loci (QTL) responsible for variances largely unexplored due to lack statistical methods. In this study, we show that pedigree information along with values and marker can be used map QTL without need further crossing experiments. We develop a Monte Carlo method estimate locus-specific...
Ageratum conyzoides has been used in folklore for the treatment of a wide range diseases. In present investigation, vitro activity ethanol, petroleum ether, ethylacetate, butanol, and water extracts A. were screened some cancer cell lines using sulphorhodamine B (SRB) assay. These include: Human non-small lung carcinoma (A-549), human colon adenocarcinoma (HT-29), gastric (SGC-7901), golima (U-251), breast (MDA-MB-231), prostate (DU-145), hepatic (BEL-7402), mouse leukemia (P-388) lines....
The simultaneous improvement of fiber quality and yield for cotton is strongly limited by the narrow genetic backgrounds Gossypium hirsutum (Gh) negative correlations among traits. An effective way to overcome bottlenecks introgress favorable alleles barbadense (Gb) into Gh with high yield.This study was identify superior loci yield.Two sets chromosome segment substitution lines (CSSLs) were generated crossing Hai1 (Gb, donor-parent) cultivar CCRI36 CCRI45 as backgrounds, cultivated in 6 8...