Ramesh S. Bhat

Genomewide Association Studies for 50 Agronomic Traits in Peanut Using the ‘Reference Set’ Comprising 300 Genotypes from 48 Countries of the Semi-Arid Tropics of the World

Peanut is an important and nutritious agricultural commodity and a livelihood of many small-holder farmers in the semi-arid tropics (SAT) of world which are facing serious production threats. Integration of genomics tools with on-going genetic improvement approaches is expected to facilitate accelerated development of improved cultivars. Therefore, high-resolution genotyping and multiple season phenotyping data for 50 important agronomic, disease and quality traits were generated on the ‘reference set’ of peanut. This study reports comprehensive analyses of allelic diversity, population structure, linkage disequilibrium (LD) decay and marker-trait association (MTA) in peanut. Distinctness of all the genotypes can be established by using either an unique allele detected by a single SSR or a combination of unique alleles by two or more than two SSR markers. As expected, DArT features (2.0 alleles/locus, 0.125 PIC) showed lower allele frequency and polymorphic information content (PIC) than SSRs (22.21 alleles /locus, 0.715 PIC). Both marker types clearly differentiated the genotypes of diploids from tetraploids. Multi-allelic SSRs identified three sub-groups (K = 3) while the LD simulation trend line based on squared-allele frequency correlations (r2) predicted LD decay of 15–20 cM in peanut genome. Detailed analysis identified a total of 524 highly significant MTAs (pvalue >2.1×10–6) with wide phenotypic variance (PV) range (5.81–90.09%) for 36 traits. These MTAs after validation may be deployed in improving biotic resistance, oil/ seed/ nutritional quality, drought tolerance related traits, and yield/ yield components.

QTL-seq approach identified genomic regions and diagnostic markers for rust and late leaf spot resistance in groundnut (Arachis hypogaea L.)

Summary Rust and late leaf spot (LLS) are the two major foliar fungal diseases in groundnut, and their co‐occurrence leads to significant yield loss in addition to the deterioration of fodder quality. To identify candidate genomic regions controlling resistance to rust and LLS, whole‐genome resequencing (WGRS)‐based approach referred as ‘QTL‐seq’ was deployed. A total of 231.67 Gb raw and 192.10 Gb of clean sequence data were generated through WGRS of resistant parent and the resistant and susceptible bulks for rust and LLS. Sequence analysis of bulks for rust and LLS with reference‐guided resistant parent assembly identified 3136 single‐nucleotide polymorphisms (SNPs) for rust and 66 SNPs for LLS with the read depth of ≥7 in the identified genomic region on pseudomolecule A03. Detailed analysis identified 30 nonsynonymous SNPs affecting 25 candidate genes for rust resistance, while 14 intronic and three synonymous SNPs affecting nine candidate genes for LLS resistance. Subsequently, allele‐specific diagnostic markers were identified for three SNPs for rust resistance and one SNP for LLS resistance. Genotyping of one RIL population (TAG 24 × GPBD 4) with these four diagnostic markers revealed higher phenotypic variation for these two diseases. These results suggest usefulness of QTL‐seq approach in precise and rapid identification of candidate genomic regions and development of diagnostic markers for breeding applications.

Characterization of AhMITE1 transposition and its association with the mutational and evolutionary origin of botanical types in peanut (Arachis spp.)

AhMITE1 is an active miniature inverted repeat transposable element (MITE) in peanut (Arachis hypogaea L). Its transpositional activity from a particular (FST1-linked) site within the peanut genome was checked using AhMITE1-specifc PCR, which used a forward primer annealing to the 5′-flanking sequence and a reverse primer binding to AhMITE1. It was found that transposition activation was induced by stresses such as ethyl methane sulfonate (EMS), gamma irradiation, environmental conditions, and tissue culture. Excision and insertion of AhMITE1 at this particular site among the mutants led to gross morphological changes resembling alternate subspecies or botanical types. Analysis of South American landraces revealed the presence of AhMITE1 at the site among most of the spp. fastigiata types, whereas the element was predominantly missing from spp. hypogaea types, indicating its strong association. Four accessions of the primitive allotetraploid, A. monticola were devoid of AhMITE1 at the site, indicating only recent activation of the element, possibly because of the “genomic shock” resulting from hybridization followed by allopolyploidization.

Mapping of important taxonomic and productivity traits using genic and non-genic transposable element markers in peanut (Arachis hypogaea L.)

A mapping population of recombinant inbred lines (RILs) derived from TMV 2 and its mutant, TMV 2-NLM was employed for mapping important taxonomic and productivity traits using genic and non-genic transposable element markers in peanut. Single nucleotide polymorphism and copy number variation using RAD-Sequencing data indicated very limited polymorphism between TMV 2 and TMV 2-NLM. But phenotypically they differed significantly for many taxonomic and productivity traits. Also, the RIL population showed significant variation for a few additional agronomic traits. A genetic linkage map of 1,205.66 cM was constructed using 91 genic and non-genic Arachis hypogaea transposable element (AhTE) markers. Using single marker analysis and QTL analysis, the markers with high phenotypic variance explained (PVE) were identified for branching pattern (32.3%), number of primary and secondary branches (19.9% and 28.4%, respectively), protein content (26.4%), days to 50% flowering (22.0%), content of oleic acid (15.1%), test weight (13.6%) and pod width (12.0%). Three genic markers (AhTE0357, AhTE0391, AhTE0025) with Arachis hypogaea miniature inverted-repeat transposable element (AhMITE1) activity in the genes Araip.TG1BL (B02 chromosome), Aradu.7N61X (A09 chromosome) and Aradu.7065G (A07 chromosome), respectively showed strong linkage with these taxonomic, productivity and quality traits. Since TMV 2 and TMV 2-NLM differed subtly at DNA level, the background noise in detecting the marker-trait associations was minimum; therefore, the markers identified in this study for the taxonomic and productivity traits may be significant and useful in peanut molecular breeding.

Development of late leaf spot and rust resistant backcross lines in Jl 24 variety of groundnut (Arachis hypogaea L.)

A marker assisted backcross breeding (MABC) programme was undertaken in an elite but foliar disease susceptible variety of groundnut, JL 24 for developing backcross lines using the donor, GPDB 4 by employing late leaf spot (LLS) and rust resistance-linked markers. Backcrossing and selfing resulted in the development of BC1F4, BC2F3 and BC3F3 generations. Evaluation of the backcross lines could identify JG4_81 and JG4_43 from BC1F4, and JG2–3_14 from BC2F3 as superior lines for disease resistance and productivity. A BC3F2 plant (JG_18) was homozygous at LLS and rust resistance-linked marker loci (IPAHM103, GM2301 and pPGPseq8D09) and 30 background markers loci. JG_18 had 87% background genome similarity with JL 24. When advanced to BC3F3, JG_18 showed resistance to both LLS and rust when compared to JL 24, while it was on par with JL 24 for the productivity traits. Currently, JG4_81, JG4_43, JG2–3_14 and JG_18 are under field evaluation for variety development.

Transposon Insertional Mutagenesis in Rice

Insertion mutants offer one of the direct ways to relate a gene to its function by employing forward or reverse genetics approaches. Both T-DNA and transposon insertional mutants are being produced in several crops, including rice, the first cereal with its complete genome sequenced. Transposons have several advantages over T-DNA including the ability to produce multiple independent insertion lines from individual starter lines, as well as producing revertants by remobilization. With our new gene constructs, and a two-component transposon iAc/Ds mutagenesis protocol, we have improved both gene trapping and screening efficiencies in rice.

Marker detection and genetic analysis for rust resistance of recombinant and backcross inbred lines in groundnut (Arachis hypogaea L.)

The present work was conducted to study the genetic variation and identification of microsatellite markers linked to rust resistance in groundnut. An F6 mapping population and three backcross populations (BC1F4, BC2F3 and BC3F2) were developed from a cross between the susceptible parent GPBD-5 and resistant parent GPBD-4. There were highly significant differences among recombinants for reaction to rust. A little difference was observed between PCV and GCV for reaction to rust. High heritability coupled with high genetic advance as per cent of mean was observed for reaction to rust in F6, and backcross populations. Bulk segregant analysis in the segregating population of GPBD-5 x GPBD-4 indicated TC5A06 to be putatively linked to rust resistance i.e., single marker analysis (SMA). This marker can be used in marker assisted selection for rust resistance in groundnut improvement program.

Genetic analysis for yield, nutritional and oil quality traits in RIL population of groundnut (Arachis hypogaea L.)

A total of 268 recombinant inbred lines (RILs) were evaluated for genetic variability for yield, nutritional and oil quality traits under two consecutive seasons at two locations. Analysis showed that variability exists in the population for the nutritional and oil quality as well as for yield component traits. Majority of the yield components and oil quality traits were governed by additive effects. The nutritional and oil quality traits were not affected by environmental factors and simple phenotypic selection ensures increased performance of the genotypes. Yield components showed moderate to high heritability but with great influence of environment.

Identification of main effect and epistatic quantitative trait loci for morphological and yield-related traits in peanut (Arachis hypogaea L.)

An effort was made in the present study to identify the main effect and epistatic quantitative trait locus (QTL) for the morphological and yield-related traits in peanut. A recombinant inbred line (RIL) population derived from TAG 24 × GPBD 4 was phenotyped in seven environments at two locations. QTL analysis with available genetic map identified 62 main-effect QTLs (M-QTLs) for ten morphological and yield-related traits with the phenotypic variance explained (PVE) of 3.84–15.06%. Six major QTLs (PVE > 10%) were detected for PLHT, PPP, YPP, and SLNG. Stable M-QTLs appearing in at least two environments were detected for PLHT, LLN, YPP, YKGH, and HSW. Five M-QTLs governed two traits each, and 16 genomic regions showed co-localization of two to four M-QTLs. Intriguingly, a major QTL reported to be linked to rust resistance showed pleiotropic effect for yield-attributing traits like YPP (15.06%, PVE) and SLNG (13.40%, PVE). Of the 24 epistatic interactions identified across the traits, five interactions involved six M-QTLs. Three interactions were additive × additive and remaining two involved QTL × environment (QE) interactions. Only one major M-QTL governing PLHT showed epistatic interaction. Overall, this study identified the major M-QTLs for the important productivity traits and also described the lack of epistatic interactions for majority of them so that they can be conveniently employed in peanut breeding.

Development of AhMITE1 markers through genome-wide analysis in peanut (Arachis hypogaea L.)

ObjectiveIn peanut, the DNA polymorphism is very low despite enormous phenotypic variations. This limits the use of genomics-assisted breeding to enhance peanut productivity. This study aimed to develop and validate new AhMITE1 and cleaved amplified polymorphic sequences (CAPS) markers.ResultsIn total, 2957 new AhMITE1 markers were developed in addition to identifying 465 already reported markers from the whole genome re-sequencing data (WGRS) of 33 diverse genotypes of peanut. The B sub-genome (1620) showed more number of markers than the A sub-genome (1337). Distribution also varied among the chromosomes of both the sub-genomes. Further, 52.6% of the markers were from genic regions; where 31.0% were from intronic regions and 5.2% were from exonic regions. Of the 343 randomly selected markers, 82.2% showed amplification validation, with up to 35.5% polymorphism. From the SNPs on the A03, B01, B02 and B03 chromosomes, 11,730 snip-SNPs (potential CAPS sites) were identified, and 500 CAPS markers were developed from chromosome A03. Of these markers, 30.0% showed validation and high polymorphism. This study demonstrated the potential of the WGRS data to develop AhMITE1 and CAPS markers, which showed high level of validation and polymorphism. These marker resources will be useful for various genetic studies and mapping in peanut.