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This study is a historical narrative focusing on a specific period between the early 1970s to the present day in the automotive parts industry of Iran. During this period, there have been changes in this industry which can be marked as changing contexts and texts. The development of the auto parts industry in this period is an example of the processes of development in Iranian industries, which, regardless of its intended and unintended consequences, requires a real analysis to provide a basis for common understanding. This research seeks to answer the question of what narrative of industrial development in the automotive parts industry of Iran can be yielded and what are the lessons learned from this narrative. To this purpose, by conducting an exploratory study, we seek to provide a narrative of the evolution and development of this industry. The basic evolutionary trends of the automotive parts industry have been extracted through in-depth interviews. In the final analysis, it was argued that cognition of social reality, regardless of political views, provides a deeper and more comprehensive understanding and acts as a barrier to descriptions derived from the short-term and everyday perspectives that are discontinuous in social terms. The scourge of this kind of look is like an ax to the root and ignores the vast efforts in this industry. Accordingly, an alternative discourse has been proposed to describe the industry as it is, in order to be a stimulus for re-growth of this industry.

Thymus is one of the famous medicine herbs of Lamiaceae genus. Due to the high potential of hybridization and introgression among thymus species, they have high genetic variability and study of genetic variability is difficult in this genus. According to the existing problems in the field of breeding of this medicine herb, use of molecular markers could be a valuable tool for evaluation and exploitation of germplasm. In this study, for assessment of genetic diversity among 70 Iranian Thymus, 30 semi-random ISJ (Intron-exon Splicing Junction) primers were used. Total primers produced 694 bands that 683 bands were polymorphic. Average band number per primer and per genotype was 23.13 and 9.91, respectively. Cluster analysis using DARwin5 software and UPGMA method based on Dice's similarity matrix divided accessions into 6 clusters. The highest similarity was estimated between T. kotschyanus and T. transcaucasius and lowest similarity was estimated between T. lancifolius and T. fedtschenkoi. The highest and lowest of polymorphic information content (PIC) revealed by IT15-36 and IT18-2 primers, respectively. The highest and lowest marker index (MI) included ET15-33 and ET18-6 primers, respectively. Results showed that clustering based on cluster analysis partly adapted with geographical origin dispersion. Totally, application of semi-random primers could be useful in assessment of genetic diversity of Thymus accessions.