Do Students With Different Majors Have Different Personality Traits? Evidence From Two Chinese Agricultural Universities.

This paper explores whether a Student's choice of major leads to certain personality traits and the reasons for this phenomenon. Specifically, we look at evidence from two Chinese universities, both of which specialize in agricultural studies. Using the Sixteen Personality Factor (16PF) questionnaire and the Neuroticism Extraversion Openness Five-Factor Inventory (NEO-FFI) questionnaire, we collected data from two groups of students: those who study agriculture-related majors (ARM), and those who study non-agriculture-related majors (NARM). The surveys all showed no significant change in personality traits during Students' freshman year. However, after 3 years of university study, significant personality trait changes were noted between seniors in the ARM and NARM groups. Whereas ARM seniors tended to be socially shy and lower in communicative competence, NARM seniors were better at expressing themselves and communicating with others. Although a Student's choice of profession has an influence on their personality traits, it is not the only factor. The differences between ARM and NARM training models and curricula are also undoubtedly significant. Moreover, the bias against ARM in Chinese society further magnifies the differences in personality traits among students with different majors.

Genome-wide identification and analysis of FK506-binding protein gene family in peach (Prunus persica).

The FKBP protein family has prolyl isomerase activity and is related in function to cyclophilins. FKBPs are known to be involved in many biological processes including hormone signaling, plant growth, and stress responses through a chaperone or an isomerization of proline residues during protein folding. The availability of complete peach genome sequences allowed the identification of 21 FKBP genes by HMMER and BLAST analyses. Scaffold locations of these FKBP genes in the peach genome were determined and the protein domain and motif organization of peach FKBPs were analyzed. The phylogenetic relationships between peach FKBPs were also assessed. The expression profiles of peach FKBP gene results revealed that most peach FKBPs were expressed in all tissues, while a few peach FKBPs were specifically expressed in some of the tissues. This data could contribute to better understanding of the complex regulation of the peach FKBP gene family, and also provide valuable information for further research in peach functional genomics.

Computational identification of microRNAs in the strawberry (Fragaria x ananassa) genome sequence and validation of their precise sequences by miR-RACE.

In plants, microRNAs (miRNAs) play significant roles in post-transcriptional gene regulation and have been found to control many genes involved in different biological and metabolic processes. Extensive studies were carried out to discover miRNAs and analyze their functions in model plant species, such as in Arabidopsis and rice that have been reported. In this research, we used bioinformatics to predict microRNAs in an important strawberry rootstock cultivar to discover and validate precise sequences of microRNAs in strawberry. By adopting a range of filtering criteria, we obtained 59 potential miRNAs belonging to 40 miRNA families from the Fragaria vesca genome. Using two specific 5' and 3' miRNA RACE PCR reactions and a sequence-directed cloning method, we accurately determined 34 precise sequences of candidate miRNAs, while six other sequences exhibited some minor divergence in their termini nucleotides, and 19 miRNAs that could not be cloned owing to expression abundance may be too low or these mirRNAs predicted could not be existing in strawberry. Potential target genes were further predicted for the miRNAs above. The expression of the 16 miRNAs unreported and having exact sequences and their targets by experiment could be detected in different tissues of strawberry ranging from roots, stems, leaves, flowers and fruits by qRT-PCR and some of them showed differential expression in various tissues. The functional analysis of 16 miRNAs and their targets was carried out. Finally, we conclude that there are 34 mirRNAs in strawberry and their targets play vital roles not only in growth and development, but also in diverse physiological processes. These results show that regulatory miRNAs exist in agronomically important strawberry and might have an important function in strawberry growth and development.

Evaluation of genome sequencing quality in selected plant species using expressed sequence tags.

BACKGROUND: With the completion of genome sequencing projects for more than 30 plant species, large volumes of genome sequences have been produced and stored in online databases. Advancements in sequencing technologies have reduced the cost and time of whole genome sequencing enabling more and more plants to be subjected to genome sequencing. Despite this, genome sequence qualities of multiple plants have not been evaluated. METHODOLOGY/PRINCIPAL FINDING: Integrity and accuracy were calculated to evaluate the genome sequence quality of 32 plants. The integrity of a genome sequence is presented by the ratio of chromosome size and genome size (or between scaffold size and genome size), which ranged from 55.31% to nearly 100%. The accuracy of genome sequence was presented by the ratio between matched EST and selected ESTs where 52.93% ∼ 98.28% and 89.02% ∼ 98.85% of the randomly selected clean ESTs could be mapped to chromosome and scaffold sequences, respectively. According to the integrity, accuracy and other analysis of each plant species, thirteen plant species were divided into four levels. Arabidopsis thaliana, Oryza sativa and Zea mays had the highest quality, followed by Brachypodium distachyon, Populus trichocarpa, Vitis vinifera and Glycine max, Sorghum bicolor, Solanum lycopersicum and Fragaria vesca, and Lotus japonicus, Medicago truncatula and Malus × domestica in that order. Assembling the scaffold sequences into chromosome sequences should be the primary task for the remaining nineteen species. Low GC content and repeat DNA influences genome sequence assembly. CONCLUSION: The quality of plant genome sequences was found to be lower than envisaged and thus the rapid development of genome sequencing projects as well as research on bioinformatics tools and the algorithms of genome sequence assembly should provide increased processing and correction of genome sequences that have already been published.