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Brass T, Kennedy J, Gabriel F, Neill B, Devis D, Leonard SN. Learning analytics for lifelong career development: a framework to support sustainable formative assessment and self-reflection in programs developing career self-efficacy. Front Artif Intell 2023; 6:1173099. [PMID: 37304524 PMCID: PMC10248419 DOI: 10.3389/frai.2023.1173099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 05/05/2023] [Indexed: 06/13/2023] Open
Abstract
Among myriad complex challenges facing educational institutions in this era of a rapidly evolving job marketplace is the development of career self-efficacy among students. Self-efficacy has traditionally been understood to be developed through the direct experience of competence, the vicarious experience of competence, social persuasion, and physiological cues. These four factors, and particularly the first two, are difficult to build into education and training programs in a context where changing skills make the specific meaning of graduate competence largely unknown and, notwithstanding the other contributions in this collection, largely unknowable. In response, in this paper we argue for a working metacognitive model of career self-efficacy that will prepare students with the skills needed to evaluate their skills, attitudes and values and then adapt and develop them as their career context evolves around them. The model we will present is one of evolving complex sub-systems within an emergent milieu. In identifying various contributing factors, the model provides specific cognitive and affective constructs as important targets for actionable learning analytics for career development.
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Affiliation(s)
- Tamishka Brass
- University of South Australia, UniSA Educations Futures, Centre for Change and Complexity in Learning, Adelaide, SA, Australia
| | - JohnPaul Kennedy
- University of South Australia, UniSA Educations Futures, Centre for Change and Complexity in Learning, Adelaide, SA, Australia
| | - Florence Gabriel
- University of South Australia, UniSA Educations Futures, Centre for Change and Complexity in Learning, Adelaide, SA, Australia
| | - Bec Neill
- University of South Australia, UniSA Educations Futures, Centre for Research in Educational and Social Inclusion, Adelaide, SA, Australia
| | - Deborah Devis
- University of South Australia, UniSA Educations Futures, Centre for Change and Complexity in Learning, Adelaide, SA, Australia
| | - Simon N. Leonard
- University of South Australia, UniSA Educations Futures, Centre for Change and Complexity in Learning, Adelaide, SA, Australia
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Chen M, Xu J, Devis D, Shi J, Ren K, Searle I, Zhang D. Origin and Functional Prediction of Pollen Allergens in Plants. Plant Physiol 2016; 172:341-57. [PMID: 27436829 PMCID: PMC5074609 DOI: 10.1104/pp.16.00625] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Accepted: 07/17/2016] [Indexed: 05/17/2023]
Abstract
Pollen allergies have long been a major pandemic health problem for human. However, the evolutionary events and biological function of pollen allergens in plants remain largely unknown. Here, we report the genome-wide prediction of pollen allergens and their biological function in the dicotyledonous model plant Arabidopsis (Arabidopsis thaliana) and the monocotyledonous model plant rice (Oryza sativa). In total, 145 and 107 pollen allergens were predicted from rice and Arabidopsis, respectively. These pollen allergens are putatively involved in stress responses and metabolic processes such as cell wall metabolism during pollen development. Interestingly, these putative pollen allergen genes were derived from large gene families and became diversified during evolution. Sequence analysis across 25 plant species from green alga to angiosperms suggest that about 40% of putative pollen allergenic proteins existed in both lower and higher plants, while other allergens emerged during evolution. Although a high proportion of gene duplication has been observed among allergen-coding genes, our data show that these genes might have undergone purifying selection during evolution. We also observed that epitopes of an allergen might have a biological function, as revealed by comprehensive analysis of two known allergens, expansin and profilin. This implies a crucial role of conserved amino acid residues in both in planta biological function and allergenicity. Finally, a model explaining how pollen allergens were generated and maintained in plants is proposed. Prediction and systematic analysis of pollen allergens in model plants suggest that pollen allergens were evolved by gene duplication and then functional specification. This study provides insight into the phylogenetic and evolutionary scenario of pollen allergens that will be helpful to future characterization and epitope screening of pollen allergens.
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Affiliation(s)
- Miaolin Chen
- Joint International Research Laboratory of Metabolic and Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China (M.C., J.X., J.S., K.R., D.Z.);School of Agriculture, Food, and Wine, University of Adelaide, Waite Campus, Urrbrae, South Australia 5064, Australia (D.D., I.S., D.Z.); andSchool of Biological Sciences, University of Adelaide, South Australia 5005, Australia (I.S.)
| | - Jie Xu
- Joint International Research Laboratory of Metabolic and Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China (M.C., J.X., J.S., K.R., D.Z.);School of Agriculture, Food, and Wine, University of Adelaide, Waite Campus, Urrbrae, South Australia 5064, Australia (D.D., I.S., D.Z.); andSchool of Biological Sciences, University of Adelaide, South Australia 5005, Australia (I.S.)
| | - Deborah Devis
- Joint International Research Laboratory of Metabolic and Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China (M.C., J.X., J.S., K.R., D.Z.);School of Agriculture, Food, and Wine, University of Adelaide, Waite Campus, Urrbrae, South Australia 5064, Australia (D.D., I.S., D.Z.); andSchool of Biological Sciences, University of Adelaide, South Australia 5005, Australia (I.S.)
| | - Jianxin Shi
- Joint International Research Laboratory of Metabolic and Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China (M.C., J.X., J.S., K.R., D.Z.);School of Agriculture, Food, and Wine, University of Adelaide, Waite Campus, Urrbrae, South Australia 5064, Australia (D.D., I.S., D.Z.); andSchool of Biological Sciences, University of Adelaide, South Australia 5005, Australia (I.S.)
| | - Kang Ren
- Joint International Research Laboratory of Metabolic and Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China (M.C., J.X., J.S., K.R., D.Z.);School of Agriculture, Food, and Wine, University of Adelaide, Waite Campus, Urrbrae, South Australia 5064, Australia (D.D., I.S., D.Z.); andSchool of Biological Sciences, University of Adelaide, South Australia 5005, Australia (I.S.)
| | - Iain Searle
- Joint International Research Laboratory of Metabolic and Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China (M.C., J.X., J.S., K.R., D.Z.);School of Agriculture, Food, and Wine, University of Adelaide, Waite Campus, Urrbrae, South Australia 5064, Australia (D.D., I.S., D.Z.); andSchool of Biological Sciences, University of Adelaide, South Australia 5005, Australia (I.S.)
| | - Dabing Zhang
- Joint International Research Laboratory of Metabolic and Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China (M.C., J.X., J.S., K.R., D.Z.);School of Agriculture, Food, and Wine, University of Adelaide, Waite Campus, Urrbrae, South Australia 5064, Australia (D.D., I.S., D.Z.); andSchool of Biological Sciences, University of Adelaide, South Australia 5005, Australia (I.S.)
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Devis D, Firth SM, Liang Z, Byrne ME. Dosage Sensitivity of RPL9 and Concerted Evolution of Ribosomal Protein Genes in Plants. Front Plant Sci 2015; 6:1102. [PMID: 26734020 PMCID: PMC4679983 DOI: 10.3389/fpls.2015.01102] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Accepted: 11/22/2015] [Indexed: 05/19/2023]
Abstract
The ribosome in higher eukaryotes is a large macromolecular complex composed of four rRNAs and eighty different ribosomal proteins. In plants, each ribosomal protein is encoded by multiple genes. Duplicate genes within a family are often necessary to provide a threshold dose of a ribosomal protein but in some instances appear to have non-redundant functions. Here, we addressed whether divergent members of the RPL9 gene family are dosage sensitive or whether these genes have non-overlapping functions. The RPL9 family in Arabidopsis thaliana comprises two nearly identical members, RPL9B and RPL9C, and a more divergent member, RPL9D. Mutations in RPL9C and RPL9D genes lead to delayed growth early in development, and loss of both genes is embryo lethal, indicating that these are dosage-sensitive and redundant genes. Phylogenetic analysis of RPL9 as well as RPL4, RPL5, RPL27a, RPL36a, and RPS6 family genes in the Brassicaceae indicated that multicopy ribosomal protein genes have been largely retained following whole genome duplication. However, these gene families also show instances of tandem duplication, small scale deletion, and evidence of gene conversion. Furthermore, phylogenetic analysis of RPL9 genes in angiosperm species showed that genes within a species are more closely related to each other than to RPL9 genes in other species, suggesting ribosomal protein genes undergo convergent evolution. Our analysis indicates that ribosomal protein gene retention following whole genome duplication contributes to the number of genes in a family. However, small scale rearrangements influence copy number and likely drive concerted evolution of these dosage-sensitive genes.
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