Genetics of Fusarium Wilt Resistance in Pigeonpea (Cajanus cajan) and Efficacy of Associated SSR Markers

Virulence and pathogenicity determinants in whole genome sequence of Fusarium udum causing wilt of pigeon pea

The present study deals with whole genome analysis of Fusarium udum, a wilt causing pathogen of pigeon pea. The de novo assembly identified a total of 16,179 protein-coding genes, of which 11,892 genes (73.50%) were annotated using BlastP and 8,928 genes (55.18%) from KOG annotation. In addition, 5,134 unique InterPro domains were detected in the annotated genes. Apart from this, we also analyzed genome sequence for key pathogenic genes involved in virulence, and identified 1,060 genes (6.55%) as virulence genes as per the PHI-BASE database. The secretome profiling of these virulence genes indicated the presence of 1,439 secretory proteins. Of those, an annotation of 506 predicted secretory proteins through CAZyme database indicated maximum abundance of Glycosyl hydrolase (GH, 45%) family proteins followed by auxiliary activity (AA) family proteins. Interestingly, the presence of effectors for cell wall degradation, pectin degradation, and host cell death was found. The genome comprised approximately 895,132 bp of repetitive elements, which includes 128 long terminal repeats (LTRs), and 4,921 simple sequence repeats (SSRs) of 80,875 bp length. The comparative mining of effector genes among different Fusarium species revealed five common and two specific effectors in F. udum that are related to host cell death. Furthermore, wet lab experiment validated the presence of effector genes like SIX (for Secreted in Xylem). We conclude that deciphering the whole genome of F. udum would be instrumental in understanding evolution, virulence determinants, host-pathogen interaction, possible control strategies, ecological behavior, and many other complexities of the pathogen.

Breeding, Genetics, and Genomics Approaches for Improving Fusarium Wilt Resistance in Major Grain Legumes

Fusarium wilt (FW) disease is the key constraint to grain legume production worldwide. The projected climate change is likely to exacerbate the current scenario. Of the various plant protection measures, genetic improvement of the disease resistance of crop cultivars remains the most economic, straightforward and environmental-friendly option to mitigate the risk. We begin with a brief recap of the classical genetic efforts that provided first insights into the genetic determinants controlling plant response to different races of FW pathogen in grain legumes. Subsequent technological breakthroughs like sequencing technologies have enhanced our understanding of the genetic basis of both plant resistance and pathogenicity. We present noteworthy examples of targeted improvement of plant resistance using genomics-assisted approaches. In parallel, modern functional genomic tools like RNA-seq are playing a greater role in illuminating the various aspects of plant-pathogen interaction. Further, proteomics and metabolomics have also been leveraged in recent years to reveal molecular players and various signaling pathways and complex networks participating in host-pathogen interaction. Finally, we present a perspective on the challenges and limitations of high-throughput phenotyping and emerging breeding approaches to expeditiously develop FW-resistant cultivars under the changing climate.

Rhizobial-metabolite based biocontrol of fusarium wilt in pigeon pea

The application of rhizobial cells for improving pigeon pea fitness has been practiced for ages. As cell-based approaches have limitations, the focus is on the usage of cell-free formulations. In the present study exopolysaccharide (EPS) producing, plant health promoting Bradyrhizobium sp. IC-4059 was monitored for its biocontrol potential against Fusarium udum. Strain IC-4059, its EPS, and supernatant antagonized F.udum by 52.6%, 20.5%, and 48.1%, respectively in comparison to control. Diverse formulations prepared using EPS, supernatant, and cells of strain IC-4059 were: EPS based, supernatant based, IC-4059 liquid culture (rhizobia based), dual combination (IC-4059 cells + supernatant; IC-4059 cells + EPS; EPS + supernatant), and triple combination (IC-4059 cells + supernatant + EPS). The potency of these bioformulations was observed under in planta tubes followed by in vivo pot study, both in F.udum infested and non-infested sets taking pigeon pea cultivar UPAS-120 as a model crop. The study highlighted that seeds receiving triple combination exhibited significantly higher plant growth attributes, nodule enhancing, and disease suppressing activity in comparison to individual application of Bradyrhizobium. Antifungal compounds were analyzed by a metabolomic approach using UPLC-MS. Thus, the study disseminates the tripartite role of triple formulation as a plant growth stimulator, nodule enhancer, and disease suppressor, both under in vitro and in vivo conditions in the presence of phytopathogen F. udum.

First De Novo Draft Genome Sequence of the Pathogenic Fungus Fusarium udum F02845, Associated with Pigeonpea (Cajanus cajan L. Millspaugh) Wilt

Fusarium udum F02845 is a destructive fungal pathogen which causes pigeonpea (Cajanus cajan L. Millspaugh) wilt.

Fusarium udum F02845 is a destructive fungal pathogen which causes pigeonpea (Cajanus cajan L. Millspaugh) wilt. Here we report the first de novo draft assembly of Fusarium udum F02845, isolated from an infected pigeonpea stem. The genome was determined to be 56.38 Mb in size, with a G+C content of 42.44%, and predicted to have 712 scaffolds with a total number of 11,829 genes.

Construction of genotyping-by-sequencing based high-density genetic maps and QTL mapping for fusarium wilt resistance in pigeonpea

Fusarium wilt (FW) is one of the most important biotic stresses causing yield losses in pigeonpea. Genetic improvement of pigeonpea through genomics-assisted breeding (GAB) is an economically feasible option for the development of high yielding FW resistant genotypes. In this context, two recombinant inbred lines (RILs) (ICPB 2049 × ICPL 99050 designated as PRIL_A and ICPL 20096 × ICPL 332 designated as PRIL_B) and one F₂ (ICPL 85063 × ICPL 87119) populations were used for the development of high density genetic maps. Genotyping-by-sequencing (GBS) approach was used to identify and genotype SNPs in three mapping populations. As a result, three high density genetic maps with 964, 1101 and 557 SNPs with an average marker distance of 1.16, 0.84 and 2.60 cM were developed in PRIL_A, PRIL_B and F₂, respectively. Based on the multi-location and multi-year phenotypic data of FW resistance a total of 14 quantitative trait loci (QTLs) including six major QTLs explaining >10% phenotypic variance explained (PVE) were identified. Comparative analysis across the populations has revealed three important QTLs (qFW11.1, qFW11.2 and qFW11.3) with upto 56.45% PVE for FW resistance. This is the first report of QTL mapping for FW resistance in pigeonpea and identified genomic region could be utilized in GAB.