Phenomics, genomics of oil palm (Elaeis guineensis Jacq.): way forward for making sustainable and high yielding quality oil palm.

Oil palm (Elaeis guineensis Jacq.) is a heterogeneous, perennial crop having long breeding cycle with a genome size of 1.8 Gb. The demand for vegetable oil is steadily increasing, and expected that nearly 240-250 million tons of vegetable oil may be required by 2050. Genomics and next generation technologies plays crucial role in achieving the sustainable availability of oil palm with good yield and high quality. A successful breeding programme in oil palm depends on the availability of diverse gene pool, ex-situ conservation and their proper utilization for generating elite planting material. The major breeding methods adopted in oil palm are either modified recurrent selection or the modified reciprocal recurrent selection method. The QTLs of yield and related traits are chiefly located on chromosome 4, 10, 12 and 15 which is discussed in the current review. The probable chromosomal regions influencing the less height increment is observed to be on chromosomes 4, 10, 14 and 15. Advanced genomic approaches together with bioinformatics tools were discussed thoroughly for achieving sustainable oil palm where more efforts are needed. Major emphasis is given on oil palm crop improvement using holistic approaches of various genomic tools. Also a road map given on the milestones in the genomics and way forward for making oil palm to high yielding quality oil palm.

Genome wide association study (GWAS) and identification of candidate genes for yield and oil yield related traits in oil palm (Eleaeis guineensis) using SNPs by genotyping-based sequencing.

The genotyping-based sequencing (GBS) method used for GWAS of four yield and seven oil yield related traits on highly diverse African oil palm germplasm. GBS generated 325 million-reads covering 50.78Gb of sequence data, with an average of 3.4 million-reads per sample. Finally, 4031 fully informative SNPs with a range between 157 on chromosome 15 to 455 on chromosome 1 were used for GWAS. Association mapping resulted in identification of 40 highly significant loci, where more genetic loci were found to be associated with oil to bunch (OB), followed by average bunch weight (ABW). The loci, SGI|593,593|linked to QTNOB3 explained high amount of phenotypic variance (25.3%). The nucleotide sequences of linked genetic loci for OB were found to be similar to mitogen activated protein kinase-5 (MAPK-5) protein which is an early flowering protein. The significant loci identified can be used to select desirable palms at early stage through marker assisted selection.

Genome-wide association study for leaf area, rachis length and total dry weight in oil palm (Eleaeisguineensis) using genotyping by sequencing.

The marker-trait association for complex traits using genotyping by sequencing (GBS) method is being widely spread in plants. The study aimed to identify significant single nucleotide polymorphism (SNP) associations for rachis length (RL), leaf area (LA) and total dry weight (TrDW) in oil palm among diverse African germplasm. The Illumina NextSeq platform has been used for SNP genotyping and retained 4031 fully informative SNPs after applying the filter criterion. These 4031 SNPs were used for genome wide association study for the above three traits. The LD decay rates of the African germplasm using GBS data of SNP is observed to be 25 Kb at 0.45 of average pair wise correlation coefficient (r2). Association mapping led to the identification of seven significant associations for three traits using MLM approach at a P value of ≤ 0.001. Three associations were identified for total dry weight, two each for leaf area index and rachis length. The qtlLA1 was found to be highly significant at a P value of 7.39E-05 (18.4% phenotypic variance) which is located on chromosome 4. Two QTLs (qtlLA2 and qtlRL1) were located on chromosome 1, which explained 11.9% and 12.4% of phenotypic variance respectively. Three QTLs for total dry weight were located on chromosome 2, 14 and 16, all-together explained 40% phenotypic variance. The results showed that the SNP-trait associations identified in the present study could be used in selection of elite oil palm germplasm for higher yields.

Development, identification and validation of CAPS marker for SHELL trait which governs dura, pisifera and tenera fruit forms in oil palm (Elaeis guineensis Jacq.).

The oil palm fruit forms (dura, pisifera and tenera) governed by the shell thickness gene (Sh) plays a major role in identification of fruit type and also influences palm oil yield. Identification of desired fruit type is a major asset to the breeders and oil palm workers for applications in breeding, seed certification and to reduce time, space and money spent on identification of fruit form. In the present study, we developed Sh gene specific primer pairs and bulk segregant analysis was done using 300 genomic and 8 genic SSR markers. We identified one cleaved amplified polymorphic site (CAPS) marker for differentiation of oil palm fruit type which produced two alleles (280 and 250bp) in dura genotypes, three alleles in tenera genotypes (550, 280, and 250bp) and one allele in pisifera genotypes (550bp). The shell allele sequencing results showed that two SNPs were present, of which SNP2 contributed for variation of fruit forms. The nucleotide 'A' was present in only dura genotypes, where as 'T' was present only in pisifera genotypes, which in turn led to the change of amino acid lysine to aspargine. The identified CAPS marker was validated on 300 dura, 25 pisifera and 80 tenera genotypes, 80 dura/ pisifera cross progenies and 60 lines of tenera/ tenera cross progeny. Association mapping of marker data with phenotypic data of eight oil yield related traits resulted in identification of seven significant QTLs by GLM approach, four by MLM approach at a significant threshold (P) level of 0.001. Significant QTLs were identified for fruit to bunch and oil to bunch traits, which explained R2 of 12.9% and 11.5% respectively. The CAPS marker used in the present study facilitate selection and timely distribution of desirable high yielding tenera sprouts to the farmers instead of waiting for 4-5 years. This saves a lot of land, time and money which will be a major breakthrough to the oil palm community.

Gene Discovery and Advances in Finger Millet [Eleusine coracana (L.) Gaertn.] Genomics-An Important Nutri-Cereal of Future.

The rapid strides in molecular marker technologies followed by genomics, and next generation sequencing advancements in three major crops (rice, maize and wheat) of the world have given opportunities for their use in the orphan, but highly valuable future crops, including finger millet [Eleusine coracana (L.) Gaertn.]. Finger millet has many special agronomic and nutritional characteristics, which make it an indispensable crop in arid, semi-arid, hilly and tribal areas of India and Africa. The crop has proven its adaptability in harsh conditions and has shown resilience to climate change. The adaptability traits of finger millet have shown the advantage over major cereal grains under stress conditions, revealing it as a storehouse of important genomic resources for crop improvement. Although new technologies for genomic studies are now available, progress in identifying and tapping these important alleles or genes is lacking. RAPDs were the default choice for genetic diversity studies in the crop until the last decade, but the subsequent development of SSRs and comparative genomics paved the way for the marker assisted selection in finger millet. Resistance gene homologs from NBS-LRR region of finger millet for blast and sequence variants for nutritional traits from other cereals have been developed and used invariably. Population structure analysis studies exhibit 2-4 sub-populations in the finger millet gene pool with separate grouping of Indian and exotic genotypes. Recently, the omics technologies have been efficiently applied to understand the nutritional variation, drought tolerance and gene mining. Progress has also occurred with respect to transgenics development. This review presents the current biotechnological advancements along with research gaps and future perspective of genomic research in finger millet.

Mapping QTLs for opaque2 modifiers influencing the tryptophan content in quality protein maize using genomic and candidate gene-based SSRs of lysine and tryptophan metabolic pathway.

KEY MESSAGE: The mapping analysis resulted in identification of five significant QTLs for opaque2 modifiers influencing the tryptophan content in quality protein maize using functional and genomic SSR markers. Quality protein maize (QPM) was developed by selecting genetic modifiers that convert opaque2 mutant containing high lysine and tryptophan. There are several unlinked opaque2 modifier loci (Opm) in QPM whose location, nature and mode of action are not clear. To identify these Opm QTLs, we developed a population of 218 F2:3 individuals from a cross between VQL2 and VQL8, two isogenic QPM inbreds significantly differing in tryptophan content. Based on the data of the F2:3 population, five significant QTLs on chromosomes 5, 7 and 9 with LOD values more than 2.5 were identified and together explained 38.6 % of the total phenotypic variance (R (2)). The Wx1 gene which has influence on the amino acid composition of the maize endosperm was mapped on chromosome 9 near the marker phi022 and also validated by bulk analysis. The QTL near the SSR marker ZmASK3, developed from the aspartate kinase 2 gene of the lysine pathway, mapped on chromosome 5 and had LOD of 2.7 with R (2) of 5.1 %. On chromosome 9, the QTL between the loci umc1430 and bnlg1401 had an LOD of 4.5 with R (2) of 9.1 %, whereas the QTL between the loci bnlg1401 and phi022 had an LOD of 4.2 with R (2) of 8.4 %. The third QTL was observed to be close to the marker umc2207 with an LOD of 4.8 and R (2) of 8.4 %. The identified QTLs will be very useful in the marker-assisted back-cross breeding and transgressive breeding for the development of QPM maize.

Comparative genomics and association mapping approaches for blast resistant genes in finger millet using SSRs.

The major limiting factor for production and productivity of finger millet crop is blast disease caused by Magnaporthe grisea. Since, the genome sequence information available in finger millet crop is scarce, comparative genomics plays a very important role in identification of genes/QTLs linked to the blast resistance genes using SSR markers. In the present study, a total of 58 genic SSRs were developed for use in genetic analysis of a global collection of 190 finger millet genotypes. The 58 SSRs yielded ninety five scorable alleles and the polymorphism information content varied from 0.186 to 0.677 at an average of 0.385. The gene diversity was in the range of 0.208 to 0.726 with an average of 0.487. Association mapping for blast resistance was done using 104 SSR markers which identified four QTLs for finger blast and one QTL for neck blast resistance. The genomic marker RM262 and genic marker FMBLEST32 were linked to finger blast disease at a P value of 0.007 and explained phenotypic variance (R²) of 10% and 8% respectively. The genomic marker UGEP81 was associated to finger blast at a P value of 0.009 and explained 7.5% of R². The QTLs for neck blast was associated with the genomic SSR marker UGEP18 at a P value of 0.01, which explained 11% of R². Three QTLs for blast resistance were found common by using both GLM and MLM approaches. The resistant alleles were found to be present mostly in the exotic genotypes. Among the genotypes of NW Himalayan region of India, VHC3997, VHC3996 and VHC3930 were found highly resistant, which may be effectively used as parents for developing blast resistant cultivars in the NW Himalayan region of India. The markers linked to the QTLs for blast resistance in the present study can be further used for cloning of the full length gene, fine mapping and their further use in the marker assisted breeding programmes for introgression of blast resistant alleles into locally adapted cultivars.

Population structure and genetic diversity analysis of Indian and exotic rice (Oryza sativa L.) accessions using SSR markers.

In order to understand the population structure and genetic diversity among a set of 82 rice genotypes collected from different parts of the Asian countries including India were characterized using 39 microsatellite loci. The Population structure analysis suggested that the optimum number of subpopulations was four (K = 4) among the rice genotypes, whereas phylogenetic analysis grouped them into three populations. The results obtained from phylogenetic and STRUCTURE analysis proved to be very powerful for the differentiation of rice genotypes based on their place of origin. The genetic diversity analysis using 39 SSR loci yielded 183 scorable alleles, out of which 182 alleles were observed to be polymorphic with an average of 4.8 alleles per locus. The Polymorphism Information Content (PIC) values for all the polymorphic primers across 82 rice genotypes varied from 0.02 to 0.77, with an average of 0.50. Gene diversity (He) was found to be in the range of 0.02 (RM484) to 0.80 (OSR13) with an average value of 0.55, while heterozygosity (Ho) was observed with an average of 0.07, ranging from 0.01 (RM334) to 0.31 (RM316). The present study resulted in identification of seven highly polymorphic SSR loci viz., OSR13, RM152, RM144, RM536, RM489, RM259 and RM271 based on the parameters like PIC value (≥ 0.70), gene diversity (≥ 0.71), and polymorphic alleles (≥ 6). These seven polymorphic primers can effectively be used in further molecular breeding programs and QTL mapping studies of rice since they exhibited very high polymorphism over other loci. SSR analysis resulted in a more definitive separation of clustering of genotypes indicating a higher level of efficiency of SSR markers for the accurate determination of relationships between accessions.

Development and molecular characterization of genic molecular markers for grain protein and calcium content in finger millet (Eleusine coracana (L.) Gaertn.).

Finger millet (Eleusine coracana (L.) Gaertn), holds immense agricultural and economic importance for its high nutraceuticals quality. Finger millets seeds are rich source of calcium and its proteins are good source of essential amino acids. In the present study, we developed 36 EST-SSR primers for the opaque2 modifiers and 20 anchored-SSR primers for calcium transporters and calmodulin for analysis of the genetic diversity of 103 finger millet genotypes for grain protein and calcium contents. Out of the 36 opaque2 modifiers primers, 15 were found polymorphic and were used for the diversity analysis. The highest PIC value was observed with the primer FMO2E33 (0.26), while the lowest was observed FMO2E27 (0.023) with an average value of 0.17. The gene diversity was highest for the primer FMO2E33 (0.33), however it was lowest for FMO2E27 (0.024) at average value of 0.29. The percentage polymorphism shown by opaque2 modifiers primers was 68.23%. The diversity analysis by calcium transporters and calmodulin based anchored SSR loci revealed that the highest PIC was observed with the primer FMCA8 (0.30) and the lowest was observed for FMCA5 (0.023) with an average value of 0.18. The highest gene diversity was observed for primer FMCA8 (0.37), while lowest for FMCA5 (0.024) at an average of 0.21. The opaque2 modifiers specific EST-SSRs could able to differentiate the finger millet genotypes into high, medium and low protein containing genotypes. However, calcium dependent candidate gene based EST-SSRs could broadly differentiate the genotypes based on the calcium content with a few exceptions. A significant negative correlation between calcium and protein content was observed. The present study resulted in identification of highly polymorphic primers (FMO2E30, FMO2E33, FMO2-18 and FMO2-14) based on the parameters such as percentage of polymorphism, PIC values, gene diversity and number of alleles.