Advances in protein chemistry and structural biology, Journal Year: 2024, Volume and Issue: unknown, P. 335 - 382
Published: Jan. 1, 2024
Language: Английский
Advances in protein chemistry and structural biology, Journal Year: 2024, Volume and Issue: unknown, P. 335 - 382
Published: Jan. 1, 2024
Language: Английский
Chinese Chemical Letters, Journal Year: 2025, Volume and Issue: unknown, P. 110912 - 110912
Published: Feb. 1, 2025
Language: Английский
Citations
2Plant Cell Reports, Journal Year: 2025, Volume and Issue: 44(4)
Published: March 12, 2025
Language: Английский
Citations
1The Plant Genome, Journal Year: 2023, Volume and Issue: 17(1)
Published: April 30, 2023
Terminal drought is one of the major constraints to crop production in chickpea (Cicer arietinum L.). In order map tolerance related traits at high resolution, we sequenced multi-parent advanced generation intercross (MAGIC) population using whole genome resequencing approach and phenotyped it under stress environments for two consecutive years (2013-14 2014-15). A total 52.02 billion clean reads containing 4.67 TB data were generated on 1136 MAGIC lines eight parental lines. Alignment reference enabled identification a total, 932,172 SNPs, 35,973 insertions, 35,726 deletions among high-density genetic was constructed 57,180 SNPs spanning distance 1606.69 cM. Using compressed mixed linear model, genome-wide association study (GWAS) us identify 737 markers significantly associated with days 50% flowering, maturity, plant height, 100 seed weight, biomass, harvest index. addition GWAS approach, an identity-by-descent (IBD)-based model used quantitative trait loci (QTLs). The IBD-based detected QTLs that comparable those from analysis as well some exclusive smaller effects. candidate genes like FRIGIDA CaTIFY4b can be enhancing chickpea. genomic resources, map, marker-trait associations, identified are valuable resources community developing climate resilient chickpeas.
Language: Английский
Citations
19Frontiers in Plant Science, Journal Year: 2023, Volume and Issue: 14
Published: May 9, 2023
Grain legumes play a crucial role in human nutrition and as staple crop for low-income farmers developing underdeveloped nations, contributing to overall food security agroecosystem services. Viral diseases are major biotic stresses that severely challenge global grain legume production. In this review, we discuss how exploring naturally resistant genotypes within germplasm, landraces, wild relatives could be used promising, economically viable, eco-environmentally friendly solution reduce yield losses. Studies based on Mendelian classical genetics have enhanced our understanding of key genetic determinants govern resistance various viral legumes. Recent advances molecular marker technology genomic resources enabled us identify regions controlling disease using techniques such QTL mapping, genome-wide association studies, whole-genome resequencing, pangenome ‘omics’ approaches. These comprehensive expedited the adoption genomics-assisted breeding virus-resistant Concurrently, progress functional genomics, especially transcriptomics, has helped unravel underlying candidate gene(s) their roles This review also examines engineering-based strategies, including RNA interference, potential synthetic biology techniques, promoters transcription factors, creating viral-resistant It elaborates prospects limitations cutting-edge technologies emerging biotechnological tools (e.g., selection, rapid generation advances, CRISPR/Cas9-based genome editing tool) virus-disease-resistant ensure security.
Language: Английский
Citations
19Plants, Journal Year: 2024, Volume and Issue: 13(3), P. 457 - 457
Published: Feb. 5, 2024
Phosphate (P) is a crucial macronutrient for normal plant growth and development. The P availability in soils limitation factor, understanding genetic factors playing roles adaptation improving uptake of great biological importance. Genome-wide association studies (GWAS) have become indispensable tools unraveling the basis complex traits various species. In this study, comprehensive GWAS was conducted on diverse tomato (Solanum lycopersicum L.) accessions grown under low conditions two weeks. Plant such as shoot height, primary root length, biomass, inorganic content (SiP), (RiP) were measured. Among several models tested, Bayesian-information linkage disequilibrium iteratively nested keyway (BLINK) used identification single nucleotide polymorphisms (SNPs). all analyzed, significantly associated SNPs recorded PB, i.e., 1 SNP (SSL4.0CH10_49261145) control P, SiP, (SSL4.0CH08_58433186) (SSL4.0CH08_51271168) RiP 2 (SSL4.0CH04_37267952 SSL4.0CH09_4609062) (SSL4.0CH09_3930922) condition. identified served markers pinpointing regions genome linked to P-responsive traits. novel candidate genes with further analyzed their protein-protein interactions using STRING. study provided genes, viz. Solyc10g050370 PB control, Solyc08g062490, Solyc08g062500 SiP Solyc09g010450, Solyc09g010460, Solyc09g010690, Solyc09g010710 These findings offer glimpse into diversity accessions’ responses uptake, highlighting potential tailored breeding programs develop P-efficient varieties that could adapt varying soil conditions, making them sustainable agriculture addressing global challenges, depletion food security.
Language: Английский
Citations
5Planta, Journal Year: 2024, Volume and Issue: 259(5)
Published: March 31, 2024
Language: Английский
Citations
5Crop Science, Journal Year: 2024, Volume and Issue: unknown
Published: July 9, 2024
Abstract During the last decade, sorghum aphid ( Melanaphis sorghi ), previously identified as sugarcane sacchari became a serious pest of sorghum, spreading to all sorghum‐producing regions in United States, Mexico, and South America, where crop losses 50%–100% have been reported. Developing cultivars with resistance this insect is most sustainable strategy for long‐term management. To design resistance, comprehensively understanding mechanisms underlying survival, host plant aphid–sorghum interactions critical. In review, we summarize comprehensive efforts characterize populations well their interaction plants via hormonal pathways that trigger various genes including leucine rich repeats, WRKY transcription factors, lipoxygenases, calmodulins, others. We discuss made during decade identify specific genomic candidate confer describe recent successes potential challenges breeding resistance. Furthermore, use disruptive technologies like high‐throughput phenotyping, artificial intelligence, or machine learning developing resistant cultivars. Integration these new has accelerate development novel traits durable defend against genotype development.
Language: Английский
Citations
4Published: Jan. 1, 2025
Language: Английский
Citations
0Published: Jan. 1, 2025
Language: Английский
Citations
0Planta, Journal Year: 2025, Volume and Issue: 261(3)
Published: Feb. 1, 2025
Language: Английский
Citations
0