Transposable elements in plants: Recent advancements,tools and prospects

Transposable elements (TEs) have long been considered junk DNA; however, the availability of genome sequences and the growth of omics databases have accelerated the study of TEs, and they are now considered evolutionary signatures. TEs, essential genetic elements in plant genomes, can move around the genome by either “cut-paste” (DNA transposons) or “copypaste” mechanisms (RNA transposons). TEs often affect host genome size and interact with host genes, resulting in altered gene expression and regulatory networks. Several genes have been identified to be influenced/modified by the action of TEs. TEs have diverse structures and functions. Plants are capable of using TEs as promoters and enhancers to drive epigenetic mechanisms in a tissue-specific manner. However, our knowledge about TEs remains poor despite extensive research in plants. Plant physiological functions associated with TEs have been challenging to analyse due to a lack of focused research. Another limitation is the lack of sufficient genetic information. The different functions displayed by plant genomes are genetically regulated, which opens up opportunities in areas such as genomic evolution and epigenetic modification. Indeed, understanding the contribution of TEs in the plant genome is indispensable to assess the diversity of evolutionary adaptability in plant taxa. In this study, we review the applications of TEs and discuss the value of genetic information in the plant genome. Genomic information about TEs has a significant value in high throughput research, including forward and reverse genetics. We discuss current strategies in using TEs for the genetic dissection of plant genomes. This review covers opportunities to use different TEs databases to increase the productivity of economically important plants for sustainable development

     

Genetic diversity among cultivars, landraces and wild relatives of rice as revealed by microsatellite markers

Genetic diversity among 35 rice accessions, which included 19 landraces, 9 cultivars and 7 wild relatives, was investigated by using microsatellite (SSR) markers distributed across the rice genome. The mean number of alleles per locus was 4.86, showing 95.2% polymorphism and an average polymorphism information content of 0.707. Cluster analysis based on microsatellite allelic diversity clearly demarcated the landraces, cultivars and wild relatives into different groups. The allelic richness computed for the clusters indicated that genetic diversity was the highest among wild relatives (0.436), followed by landraces (0.356), and the lowest for cultivars. Allelic variability among the SSR markers was high enough to categorize cultivars, landraces and wild relatives of the rice germplasm, and to catalogue the genetic variability observed for future use. The results also suggested the necessity to introgress genes from landraces and wild relatives into cultivars, for cultivar improvement.     

QTL and QTL x environment effects on agronomic and nitrogen acquisition traits in rice

Agricultural environments deteriorate due to excess nitrogen application.Breeding for low nitrogen responsive genotypes can reduce soil nitrogen input.Rice genotypes respond variably to soil available nitrogen.The present study attempted quantification of genotype x nitrogen level interaction and mapping of quantitative trait loci (QTLs) associated with nitrogen use efficiency (NUE) and other associated agronomic traits.Twelve parameters were observed across a set of 82 double haploid (DH) lines derived from IR64/Azucena.Three nitrogen regimes namely,native (0 kg/ha; no nitrogen applied),optimum (100 kg/ha) and high (200 kg/ha) replicated thrice were the environments.The parents and DH lines were significantly varying for all traits under different nitrogen regimes.All traits except plant height recorded significant genotype x environment interaction.Individual plant yield was positively correlated with nitrogen use efficiency and nitrogen uptake.Sixteen QTLs were detected by composite interval mapping.Eleven QTLs showed significant QTL x environment interactions.On chromosome 3,seven QTLs were detected associated with nitrogen use,plant yield and associated traits.A QTL region between markers RZ678,RZ574 and RZ284 was associated with nitrogen use and yield.This chromosomal region was enriched with expressed gene sequences of known key nitrogen assimilation genes.