Publications by authors named "Alice Kujur"

Senescence is the ultimate phase in the life cycle of leaves which is crucial for recycling of nutrients to maintain plant fitness and reproductive success. The earliest visible manifestation of leaf senescence is their yellowing, which usually commences with the breakdown of chlorophyll. The degradation process involves a gradual and highly coordinated disassembly of macromolecules resulting in the accumulation of nutrients, which are subsequently mobilized from the senescing leaves to the developing organs.

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The identification of functionally relevant molecular tags is vital for genomics-assisted crop improvement and enhancement of seed yield, quality, and productivity in chickpea (). The simultaneous improvement of yield/productivity as well as quality traits often requires pyramiding of multiple genes, which remains a major hurdle given various associated epistatic and pleotropic effects. Unfortunately, no single gene that can improve yield/productivity along with quality and other desirable agromorphological traits is known, hampering the genetic enhancement of chickpea.

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In the present study, molecular mapping of high-resolution plant height QTLs was performed by integrating 3625 desi genome-derived GBS (genotyping-by-sequencing)-SNPs on an ultra-high resolution intra-specific chickpea genetic linkage map (dwarf/semi-dwarf desi cv. ICC12299 x tall kabuli cv. ICC8261).

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We identified 44844 high-quality SNPs by sequencing 92 diverse chickpea accessions belonging to a seed and pod trait-specific association panel using reference genome- and de novo-based GBS (genotyping-by-sequencing) assays. A GWAS (genome-wide association study) in an association panel of 211, including the 92 sequenced accessions, identified 22 major genomic loci showing significant association (explaining 23-47% phenotypic variation) with pod and seed number/plant and 100-seed weight. Eighteen trait-regulatory major genomic loci underlying 13 robust QTLs were validated and mapped on an intra-specific genetic linkage map by QTL mapping.

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Article Synopsis
  • Researchers identified a significant number of high-quality SNPs (26,785 and 16,573) from two chickpea parental genotypes, using a genetic mapping technique.
  • This work led to the creation of ultra-high density genetic linkage maps that revealed 33 major genomic regions associated with important agronomic traits, focusing on detailed genetic information within less than 1 centiMorgan on desi chromosomes.
  • An innovative approach combining various genetic analysis techniques allowed for quicker identification of beneficial genetic variants related to seed weight, enhancing the potential for improving chickpea crops through advanced breeding methods.
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A rapid high-resolution genome-wide strategy for molecular mapping of major QTL(s)/gene(s) regulating important agronomic traits is vital for in-depth dissection of complex quantitative traits and genetic enhancement in chickpea. The present study for the first time employed a NGS-based whole-genome QTL-seq strategy to identify one major genomic region harbouring a robust 100-seed weight QTL using an intra-specific 221 chickpea mapping population (desi cv. ICC 7184 × desi cv.

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Article Synopsis
  • A study identified 44,844 high-quality SNPs in 93 chickpea accessions, enhancing understanding of natural allelic diversity and genetic traits relevant to crop improvement.* -
  • Of these SNPs, 22,542 were annotated, revealing significant functional variations that differentiate accessions based on agronomic traits, indicating the potential for better crop selection.* -
  • The research demonstrated the robustness of genotyping-by-sequencing (GBS) technology, which enables efficient large-scale SNP discovery, offering valuable resources for future genome-wide studies on chickpeas.*
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Article Synopsis
  • A phylogenetic analysis identified 666 conserved non-coding microsatellite (CNMS) markers from the regulatory regions of chickpea genes, showcasing their potential in genetic studies.
  • CNMS markers, particularly (CT)n and (GA)n types, were found to be highly common and effectively amplified, revealing significant genetic variation among chickpea genotypes.
  • The study focused on 17 genes linked to seed weight, using advanced methods to uncover important markers and regulatory elements that could enhance breeding efforts for seed weight traits in chickpeas.
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The identification and fine mapping of robust quantitative trait loci (QTLs)/genes governing important agro-morphological traits in chickpea still lacks systematic efforts at a genome-wide scale involving wild Cicer accessions. In this context, an 834 simple sequence repeat and single-nucleotide polymorphism marker-based high-density genetic linkage map between cultivated and wild parental accessions (Cicer arietinum desi cv. ICC 4958 and Cicer reticulatum wild cv.

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Article Synopsis
  • The study focuses on understanding genetic variations in chickpeas by examining natural allelic diversity and the genetic structure through large-scale genotyping of microsatellite and SNP markers.
  • High-throughput methods yielded a 97.5% success rate and identified significant natural allelic diversity among 94 wild and cultivated Cicer accessions, with notable polymorphism and molecular diversity.
  • Findings suggest that these genetic markers can be effectively used to track and transfer desirable traits from wild chickpea varieties to cultivated ones, enhancing genetic improvement efforts in chickpea breeding.
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The enormous population growth, climate change and global warming are now considered major threats to agriculture and world's food security. To improve the productivity and sustainability of agriculture, the development of highyielding and durable abiotic and biotic stress-tolerant cultivars and/climate resilient crops is essential. Henceforth, understanding the molecular mechanism and dissection of complex quantitative yield and stress tolerance traits is the prime objective in current agricultural biotechnology research.

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We developed 1108 transcription factor gene-derived microsatellite (TFGMS) and 161 transcription factor functional domain-associated microsatellite (TFFDMS) markers from 707 TFs of chickpea. The robust amplification efficiency (96.5%) and high intra-specific polymorphic potential (34%) detected by markers suggest their immense utilities in efficient large-scale genotyping applications, including construction of both physical and functional transcript maps and understanding population structure.

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