Mitochondrial markers differentiate two distinct phylogenetic groups in indigenous rice landraces of northeast India: an evolutionary insight.

The inheritance of the mitochondria genome and its diversity is unique for genetic and evolutionary studies relative to nuclear genomes. Northeast India and Himalayan regions are considered as one of the centres of indica rice origin. Also, rice diversity in northeast India is very distinct and highly suited for evolutionary studies. Although reports are available on the genetic diversity of indigenous northeast rice landraces, its relationship with the wild relatives is not yet properly explored and understood. In an attempt, mitochondrial markers were used to study the evolutionary relationship between the 68 landraces of northeast India and wild relatives (O. rufipogon and O. nivara) along with IR64 (indica) and Nipponbare (japonica) were taken as reference cultivars. Phylogenetically, the findings include two distinct clusters in the indigenous northeast India landraces representing indica and japonica groups. Further, the wild relatives and ~60% of northeast India landraces were identified to be closely related to the Nipponbare cluster. Besides, landraces of northeast India grouping with the indica group (IR64) are characterized by the absence of wild relatives. This indicates that there are two distinct evolutionary paths in the origin of northeast Indian rice landraces based on mitochondrial markers diversity and it is proposed that the inheritance of mitochondria, mitonuclear genome interactions, and bottleneck events could have genetically separated these two phylogenetically unique groups of northeast rice landraces.

Characterization of haplotypes and single nucleotide polymorphisms associated with Gn1a for high grain number formation in rice plant.

Rice serves as one of the essential staple food for half of the global human population. However, due to rapid human population growth, there is an increase in food demand across the globe. Thus, to lessen the gap between food demand and supply, there is an urgent requirement for grain yield enhancement in various important cereals crops, including rice. In the present study, the authors attempted to characterize haplotypes and single nucleotide polymorphisms associated with Gn1a for high grain number formation in rice plants. Result obtained reveals that high grain number gene sequences are under balancing selection and four high grain number specific missense SNPs decreases the stability of Gn1a. Earlier studies have also suggested that decreases Gn1a expression causes cytokinin accretion in inflorescence meristems, which in turn led to increase in grain yield. Hence, these four SNPs may be utilized for increasing grain yield in rice plants.

Differential Expression of Genes at Panicle Initiation and Grain Filling Stages Implied in Heterosis of Rice Hybrids.

RNA-Seq technology was used to analyze the transcriptome of two rice hybrids, Ajay (based on wild-abortive (WA)-cytoplasm) and Rajalaxmi (based on Kalinga-cytoplasm), and their respective parents at the panicle initiation (PI) and grain filling (GF) stages. Around 293 and 302 million high quality paired-end reads of Ajay and Rajalaxmi, respectively, were generated and aligned against the Nipponbare reference genome. Transcriptome profiling of Ajay revealed 2814 and 4819 differentially expressed genes (DEGs) at the PI and GF stages, respectively, as compared to its parents. In the case of Rajalaxmi, 660 and 5264 DEGs were identified at PI and GF stages, respectively. Functionally relevant DEGs were selected for validation through qRT-PCR, which were found to be co-related with the expression patterns to RNA-seq. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated significant DEGs enriched for energy metabolism pathways, such as photosynthesis, oxidative phosphorylation, and carbon fixation, at the PI stage, while carbohydrate metabolism-related pathways, such as glycolysis and starch and sucrose metabolism, were significantly involved at the GF stage. Many genes involved in energy metabolism exhibited upregulation at the PI stage, whereas the genes involved in carbohydrate biosynthesis had higher expression at the GF stage. The majority of the DEGs were successfully mapped to know yield related rice quantitative trait loci (QTLs). A set of important transcription factors (TFs) was found to be encoded by the identified DEGs. Our results indicated that a complex interplay of several genes in different pathways contributes to higher yield and vigor in rice hybrids.

The potentiality of rice microsatellite markers in assessment of cross-species transferability and genetic diversity of rice and its wild relatives.

The main aim of this study is to assess the potentiality of SSR markers for the identification of the cross-species transferability frequency in a large set of the diverse genome types of wild relative rice along with cultivated rice. Here, we used 18 different rice genotypes representing nine different genome types with 70 SSR markers to investigate the potentiality of cross-species transferability rate. The overall cross-species transferability of SSR markers across the 18 rice genotypes ranged from 38.9% (RM280 and RM447) to 100% (RM490, RM318, RM279, RM18877 and RM20033, RM19303) with an average of 76.58%. Also, cross-species transferability across chromosome ranged from 54.4% (chromosome 4) to 86.5% (chromosome 2) with an average of 74.35%. The polymorphism information content of the markers varied from 0.198 (RM263) to 0.868 (RM510) with a mean of 0.549 ± 0.153, showing high discriminatory power. The highest rate of cross-transferability was observed in O. rufipogon (97%), The highest rate of cross-species transferability was in O. rufipogon (97.00%), followed by O. glaberrima (94.20%), O. nivara (92.80%), Swarna (92.80%), O. longistaminata (91.40%), O. eichingeri (90%), O. barthii (88.50%), O. alta (82.80%), O. australiensis (77.10%), O. grandiglumis (74.20%), O. officinalis (74.20%), Zizania latifolia (70.00%), O. latifolia (68.50%), O. brachyantha (62.80%), Leersia perrieri (57.10%) and O. ridleyi (41.40%) with least in O. coarctata (28.50%). A total of 341 alleles from 70 loci were detected with the number of alleles per locus ranged from 2 to 12. Based on dendrogram analysis, the AA genome groups was separated as distinct group from the rest of the genome types. Similarly, principal coordinate analysis and structure analysis clearly separated the AA genome type from the rest of the genome types. Through the analysis of molecular variance, more variance (51%) was observed among the individual, whereas less (14%) was observed among the population. Thus, our findings may offer a valuable resource for studying the genetic diversity and relationship to facilitate the understanding of the complex mechanism of the origin and evolutionary processes of different Oryza species and wild relative rice.