Dissecting seed pigmentation-associated genomic loci and genes by employing dual approaches of reference-based and k-mer-based GWAS with 438 Glycine accessions

The soybean is agro-economically the most important among all cultivated legume crops, and its seed color is considered one of the most attractive factors in the selection-by-breeders. Thus, genome-wide identification of genes and loci associated with seed colors is critical for the precision breeding of crop soybeans. To dissect seed pigmentation-associated genomic loci and genes, we employed dual approaches by combining reference-based genome-wide association study (rbGWAS) and k-mer-based reference-free GWAS (rfGWAS) with 438 Glycine accessions. The dual analytical strategy allowed us to identify four major genomic loci (designated as SP1-SP4 in this study) associated with the seed colors of soybeans. The k-mer analysis enabled us to find an important recombination event that occurred between subtilisin and I-cluster B in the soybean genome, which could describe a special structural feature of ii allele within the I locus (SP3). Importantly, mapping analyses of both mRNAs and small RNAs allowed us to reveal that the subtilisin-CHS1/CHS3 chimeric transcripts generate and act as an initiator towards ‘mirtron (i.e., intron-harboring miRNA precursor)’-triggered silencing of chalcone synthase (CHS) genes. Consequently, the results led us to propose a working model of ‘mirtron-triggered gene silencing (MTGS)’ to elucidate a long-standing puzzle in the genome-wide CHS gene silencing mechanism. In summary, our study reports four major genomic loci, lists of key genes and genome-wide variations that are associated with seed pigmentation in soybeans. In addition, we propose that the MTGS mechanism plays a crucial role in the genome-wide silencing of CHS genes, thereby suggesting a clue to currently predominant soybean cultivars with the yellow seed coat. Finally, this study will provide a broad insight into the interactions and correlations among seed color-associated genes and loci within the context of anthocyanin biosynthetic pathways.

Info-metric Methods for the Estimation of Models with Group-Specific Moment Conditions

Motivated by empirical analyses in economics using repeated cross-sectional data, we propose info-metric methods (IM) for estimation of the parameters of statistical models based on the information in population moment conditions that hold at group level. The info-metric estimation can be viewed as the primary approach to a constrained optimization. The estimators can also be obtained via the dual approach to this optimization, known as generalized empirical likelihood (GEL). In Andrews, Hall, Khatoon and Lincoln (2019), we provide a comprehensive framework for inference based on GEL with the grouped-specific moment conditions. In this chapter, we compare the computational requirements of the primary and dual approaches. We also describe the IM/GEL inference framework in the context of a linear regression model that is estimated using the information that the mean of the error is zero for each group. For the latter setting, we use analytical arguments and a small simulation study to compare the properties of IM/GEL-based inferences to those of inferences based on certain extant methods. The IM/GEL methods are illustrated through an application to estimation of the returns to education in which the groups are defined via information on family background.

The approaches used to make change decisions and the influencing determinants

PurposeThis study aimed for the examination of the change decision-making approaches utilised by academic library directors and the identification and explanation of the determinants of the utilised approaches.Design/methodology/approachThe data were collected from a survey. The content analysis was utilised to analyse the qualitative data. Both descriptive and inferential statistics were used to analyse the quantitative data.FindingsThe findings resulted in the identification of the approaches used to make change decisions and three categories of determinants. Directors actually utilised multiple and dual approaches more than single approaches to make change decisions. The determinants of number of library branches, number of subordinates, total years of directorship and years of present position played a significant role in the utilised approaches to making change decisions. However, the findings demonstrate that the determinants of age, gender, library size, library type, number of different positions, total years of library service and education level were not significant determinants of the utilised approaches to making change decisions.Research limitations/implicationsThe limitation is that the results of this study are not applicable and generalisable to academic libraries beyond this classification using in this study.Practical implicationsThe change decision-making approaches and the identified determinants will be useful and valuable for leaders and managers to make better decisions while managing change in the digital age.Originality/valueThe identification of the approaches and determinants provides information professionals with new knowledge and enables them to reflect the determinants of the utilised approaches and to make better change decisions in a given situation.

Crucial Personal Factors Leading to Stress in University

Stress can happen to all of us even when we are awake or asleep. Stress can be experienced at night when we try to sleep or having a nightmare, in the traffic on the way home, or even at work. Stress is related between the employee and the employer as the performance of the employee is affected by the stress level which intern affects the company’s productivity. Therefore, this study aimed to examine the occurrence of stress among staff and the individual factors that contribute to stress. The sample of 50 respondents was randomly selected among staff in University A. The data of this study had been evaluated descriptively using SPSS version 2.0. The descriptive analysis was done on six sub domains, i.e personal problem, lack of personal appreciation, personal financial, work environment, personal support, and personal beliefs. The results showed that the personal problem has a higher magnitude of stress compared to other sub domains which is like personal finance, health problems, personal conflict, and unstable emotional controls have an influence on the personal problems that contribute to stress. The dual approaches involving both supervisors and co-workers are recommended in alleviating individual stress in their own workplace. Therefore stress management is vital for both. A creative and energetic working environment can be a mechanism for employee feel happy and belonging.