Ajay Kumar Mahato

Transcriptome profiling of the salt-stress response in Triticum aestivum cv. Kharchia Local

Kharchia Local wheat variety is an Indian salt tolerant land race known for its tolerance to salinity. However, there is a lack of detailed information regarding molecular mechanism imparting tolerance to high salinity in this bread wheat. In the present study, differential root transcriptome analysis identifying salt stress responsive gene networks and functional annotation under salt stress in Kharchia Local was performed. A total of 453,882 reads were obtained after quality filtering, using Roche 454-GS FLX Titanium sequencing technology. From these reads 22,241 ESTs were generated out of which, 17,911 unigenes were obtained. A total of 14,898 unigenes were annotated against nr protein database. Seventy seven transcription factors families in 826 unigenes and 11,002 SSRs in 6,939 unigenes were identified. Kyoto Encyclopedia of Genes and Genomes database identified 310 metabolic pathways. The expression pattern of few selected genes was compared during the time course of salt stress treatment between salt-tolerant (Kharchia Local) and susceptible (HD2687). The transcriptome data is the first report, which offers an insight into the mechanisms and genes involved in salt tolerance. This information can be used to improve salt tolerance in elite wheat cultivars and to develop tolerant germplasm for other cereal crops.

Analysis of Magnaporthe oryzae Genome Reveals a Fungal Effector, Which Is Able to Induce Resistance Response in Transgenic Rice Line Containing Resistance Gene, Pi54

Rice blast caused by Magnaporthe oryzae is one of the most important diseases of rice. Pi54, a rice gene that imparts resistance to M. oryzae isolates prevalent in India, was already cloned but its avirulent counterpart in the pathogen was not known. After decoding the whole genome of an avirulent isolate of M. oryzae, we predicted 11440 protein coding genes and then identified four candidate effector proteins which are exclusively expressed in the infectious structure, appresoria. In silico protein modeling followed by interaction analysis between Pi54 protein model and selected four candidate effector proteins models revealed that Mo-01947_9 protein model encoded by a gene located at chromosome 4 of M. oryzae, interacted best at the Leucine Rich Repeat domain of Pi54 protein model. Yeast-two-hybrid analysis showed that Mo-01947_9 protein physically interacts with Pi54 protein. Nicotiana benthamiana leaf infiltration assay confirmed induction of hypersensitive response in the presence of Pi54 gene in a heterologous system. Genetic complementation test also proved that Mo-01947_9 protein induces avirulence response in the pathogen in presence of Pi54 gene. Here, we report identification and cloning of a new fungal effector gene which interacts with blast resistance gene Pi54 in rice.

Leaf Transcriptome Sequencing for Identifying Genic-SSR Markers and SNP Heterozygosity in Crossbred Mango Variety ‘Amrapali’ (Mangifera indica L.)

Mango (Mangifera indica L.) is called “king of fruits” due to its sweetness, richness of taste, diversity, large production volume and a variety of end usage. Despite its huge economic importance genomic resources in mango are scarce and genetics of useful horticultural traits are poorly understood. Here we generated deep coverage leaf RNA sequence data for mango parental varieties ‘Neelam’, ‘Dashehari’ and their hybrid ‘Amrapali’ using next generation sequencing technologies. De-novo sequence assembly generated 27,528, 20,771 and 35,182 transcripts for the three genotypes, respectively. The transcripts were further assembled into a non-redundant set of 70,057 unigenes that were used for SSR and SNP identification and annotation. Total 5,465 SSR loci were identified in 4,912 unigenes with 288 type I SSR (n ≥ 20 bp). One hundred type I SSR markers were randomly selected of which 43 yielded PCR amplicons of expected size in the first round of validation and were designated as validated genic-SSR markers. Further, 22,306 SNPs were identified by aligning high quality sequence reads of the three mango varieties to the reference unigene set, revealing significantly enhanced SNP heterozygosity in the hybrid Amrapali. The present study on leaf RNA sequencing of mango varieties and their hybrid provides useful genomic resource for genetic improvement of mango.

The draft genome of Corchorus olitorius cv. JRO-524 (Navin)

Here, we present the draft genome (377.3 Mbp) of Corchorus olitorious cv. JRO-524 (Navin), which is a leading dark jute variety developed from a cross between African (cv. Sudan Green) and indigenous (cv. JRO-632) types. We predicted from the draft genome a total of 57,087 protein-coding genes with annotated functions. We identified a large number of 1765 disease resistance-like and defense response genes in the jute genome. The annotated genes showed the highest sequence similarities with that of Theobroma cacao followed by Gossypium raimondii. Seven chromosome-scale genetically anchored pseudomolecules were constructed with a total size of 8.53 Mbp and used for synteny analyses with the cocoa and cotton genomes. Like other plant species, gypsy and copia retrotransposons were the most abundant classes of repeat elements in jute. The raw data of our study are available in SRA database of NCBI with accession number SRX1506532. The genome sequence has been deposited at DDBJ/EMBL/GenBank under the accession LLWS00000000, and the version described in this paper will be the first version (LLWS01000000).

Insights into PPR Gene Family in Cajanus Cajan and Other Legume Species

PPR proteins comprises of several hundred members among land plants and govern a fascinating array of functions in organeller genomes that ranges from participation in stabilization of organeller transcripts, RNA editing to fertility restoration of CMS lines. Despite the availability of genome sequences of several legume species, comprehensive cataloguing of members of PPR gene family has not been carried out. In the current study, we identified 523, 830, 534, 816, 441 and 677 PPR proteins in Cajanus, Glycine, Phaseolus, Medicago, Vigna and Cicer genomes, respectively and their complete in silico categorization was undertaken to classify them into various sub-classes and their localization prediction. Chromosomal coordinates of 271 Cajanus PPR genes were predicted and their homologues were identified in 5 other legumes revealing extensive genome conservation. PPR genes of all 6 legume species were further probed to identify restorer of fertility-like PPRs (RFLs) on the basis of protein clustering and followed by homology searches to already known Rf-PPR genes. Seventy RFL PPR genes (P sub-class) were identified and were scrutinized by phylogenetic analysis which revealed extended similarity and common features shared by these RFLs across the species. Some of these RFL PPRs were present as small clusters in Glycine, Phaseolus, Vigna and Cicer genomes. This study has generated a knowledge base about PPR gene family in legumes and opens several avenues for future investigations into their molecular functions, evolutionary relationships and their potential in identifying markers to enable cloning of Rf genes.

A high-density intraspecific SNP linkage map of pigeonpea (Cajanas cajan L. Millsp.)

Pigeonpea (Cajanus cajan (L.) Millsp.) is a major food legume cultivated in semi-arid tropical regions including the Indian subcontinent, Africa, and Southeast Asia. It is an important source of protein, minerals, and vitamins for nearly 20% of the world population. Due to high carbon sequestration and drought tolerance, pigeonpea is an important crop for the development of climate resilient agriculture and nutritional security. However, pigeonpea productivity has remained low for decades because of limited genetic and genomic resources, and sparse utilization of landraces and wild pigeonpea germplasm. Here, we present a dense intraspecific linkage map of pigeonpea comprising 932 markers that span a total adjusted map length of 1,411.83 cM. The consensus map is based on three different linkage maps that incorporate a large number of single nucleotide polymorphism (SNP) markers derived from next generation sequencing data, using Illumina GoldenGate bead arrays, and genotyping with restriction site associated DNA (RAD) sequencing. The genotyping-by-sequencing enhanced the marker density but was met with limited success due to lack of common markers across the genotypes of mapping population. The integrated map has 547 bead-array SNP, 319 RAD-SNP, and 65 simple sequence repeat (SSR) marker loci. We also show here correspondence between our linkage map and published genome pseudomolecules of pigeonpea. The availability of a high-density linkage map will help improve the anchoring of the pigeonpea genome to its chromosomes and the mapping of genes and quantitative trait loci associated with useful agronomic traits.

Differential Gene Expression Studies: A Possible Way to Understand Bearing Habit in Fruit Crops

India is still by far the major producer of various fruit crops, but its relative share in the world production has been gradually declining. Alternate bearer fruit cultivars present a serious economic problem to fruit growers. An alternate bearing plant is the one that does not bear a regular crop year-after-year; rather heavy yields are followed by extremely light yield. This complex phenomenon could be solved by transcriptome analysis resulted in numerous differentially expressed genes (DEGs), allowing the partial identification of mechanisms that convert ‘on’ into ‘off’ buds. Several candidate genes would be identified in future studies whose differential expression can be correlated with growth habit and architectural variation in another perennial fruit crops. The information generated will be utilized for identification of potential parents, desired hybrids in early nursery stage, thus would assist breeders by bringing precision breeding and also make available fruits during off years.

Whole Genome Characterization of a Few EMS-Induced Mutants of Upland Rice Variety Nagina 22 Reveals a Staggeringly High Frequency of SNPs Which Show High Phenotypic Plasticity Towards the Wild-Type

The Indian initiative, in creating mutant resources for the functional genomics in rice, has been instrumental in the development of 87,000 ethylmethanesulfonate (EMS)-induced mutants, of which 7,000 are in advanced generations. The mutants have been created in the background of Nagina 22, a popular drought- and heat-tolerant upland cultivar. As it is a pregreen revolution cultivar, as many as 573 dwarf mutants identified from this resource could be useful as an alternate source of dwarfing. A total of 541 mutants, including the macromutants and the trait-specific ones, obtained after appropriate screening, are being maintained in the mutant garden. Here, we report on the detailed characterizations of the 541 mutants based on the distinctness, uniformity, and stability (DUS) descriptors at two different locations. About 90% of the mutants were found to be similar to the wild type (WT) with high similarity index (>0.6) at both the locations. All 541 mutants were characterized for chlorophyll and epicuticular wax contents, while a subset of 84 mutants were characterized for their ionomes, namely, phosphorous, silicon, and chloride contents. Genotyping of these mutants with 54 genomewide simple sequence repeat (SSR) markers revealed 93% of the mutants to be either completely identical to WT or nearly identical with just one polymorphic locus. Whole genome resequencing (WGS) of four mutants, which have minimal differences in the SSR fingerprint pattern and DUS characters from the WT, revealed a staggeringly high number of single nucleotide polymorphisms (SNPs) on an average (16,453 per mutant) in the genic sequences. Of these, nearly 50% of the SNPs led to non-synonymous codons, while 30% resulted in synonymous codons. The number of insertions and deletions (InDels) varied from 898 to 2,595, with more than 80% of them being 1–2 bp long. Such a high number of SNPs could pose a serious challenge in identifying gene(s) governing the mutant phenotype by next generation sequencing-based mapping approaches such as Mutmap. From the WGS data of the WT and the mutants, we developed a genic resource of the WT with a novel analysis pipeline. The entire information about this resource along with the panicle architecture of the 493 mutants is made available in a mutant database EMSgardeN22 (http://14.139.229.201/EMSgardeN22).

An improved draft of the pigeonpea (Cajanus cajan (L.) Millsp.) genome

The first draft of the pigeonpea (Cajanus cajan (L.) Millsp. cv. Asha) genome with 511 Mbp of assembled sequence information has low genome coverage of about sixty percent. Here we present an improved version of this genome with 648.2 Mbp of assembled sequence of this popular pigeonpea variety, which is liked by the millers and has resistance to fusarium wilt and sterility mosaic diseases. With the addition of 137 Mb of assembled sequence information the present version has the highest available genome coverage of pigeonpea till date. We predicted 56,888 protein-coding genes of which 54,286 (96.7%) were functionally annotated. In the improved genome assembly we identified 158,432 SSR loci, designed flanking primers for 85,296 of these and validated them in-silico by e-PCR. The raw data used for the improvement of genome assembly are available in the SRA database of NCBI with accession numbers SRR5922904, SRR5922905, SRR5922906, SRR5922907. The genome sequence update has been deposited at DDBJ/EMBL/GenBank under the accession AFSP00000000, and the version described in this paper is the second version (AFSP02000000).

MiSNPDb : a web-based genomic resources of tropical ecology fruit mango ( Mangifera indica L.) for phylogeography and varietal differentiation

Mango is one of the most important fruits of tropical ecological region of the world, well known for its nutritive value, aroma and taste. Its world production is >45MT worth >200 billion US dollars. Genomic resources are required for improvement in productivity and management of mango germplasm. There is no web-based genomic resources available for mango. Hence rapid and cost-effective high throughput putative marker discovery is required to develop such resources. RAD-based marker discovery can cater this urgent need till whole genome sequence of mango becomes available. Using a panel of 84 mango varieties, a total of 28.6 Gb data was generated by ddRAD-Seq approach on Illumina HiSeq 2000 platform. A total of 1.25 million SNPs were discovered. Phylogenetic tree using 749 common SNPs across these varieties revealed three major lineages which was compared with geographical locations. A web genomic resources MiSNPDb, available at http://webtom.cabgrid.res.in/mangosnps/ is based on 3-tier architecture, developed using PHP, MySQL and Javascript. This web genomic resources can be of immense use in the development of high density linkage map, QTL discovery, varietal differentiation, traceability, genome finishing and SNP chip development for future GWAS in genomic selection program. We report here world’s first web-based genomic resources for genetic improvement and germplasm management of mango.