Exploring Host Resistance and Character Association in Diverse Cotton Germplasm to Manage Cotton Leaf Curl Disease (CLCuD) at Two Hotspots in Punjab, Pakistan DOI

Asia Batool,

Jehanzeb Farooq,

Muhammad Jabran

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 76(4), P. 769 - 782

Published: June 20, 2024

Cotton leaf curl disease (CLCuD) caused by Begomoviruses is a significant constraint to cotton production in Pakistan. Breeding for resistance key strategy manage the disease. However, developing varieties with stable and good fiber quality poses challenge. Therefore, study aimed evaluate 71 genotypes, including 67 accessions from Pakistan, three Turkey one India, CLCuD yield traits at two locations (Faisalabad Vehari) Punjab. The association between was analyzed. A field trial conducted using randomized complete block design replications. Genotypes were evaluated severity, yield, traits. Correlation factor analyses done. results showed variation among genotypes other characteristics. Some like FH-490 FH-444 high length strength, tolerance CLCuD. These could be directly used as parent lines breeding programs. Furthermore, that CRS, Faisalabad 3 PCs have eigenvalue > 1 contribution of 69.86%. Vehari, these components contributed 66.98% total assessed CLCuD, fibre-related Screening criteria based on virus performance concerning superior boll number, sympodial branches weight, plant height. identified promising Character associations provide insights programs develop cultivars integrated quality.

Language: Английский

Cotton under heat stress: a comprehensive review of molecular breeding, genomics, and multi-omics strategies DOI Creative Commons

Tahira Luqman,

Manzoor Hussain,

Syed Riaz Ahmed

et al.

Frontiers in Genetics, Journal Year: 2025, Volume and Issue: 16

Published: March 18, 2025

Cotton is a vital fiber crop for the global textile industry, but rising temperatures due to climate change threaten its growth, quality and yields. Heat stress disrupts key physiological biochemical processes, affecting carbohydrate metabolism, hormone signaling, calcium gene regulation expression. This review article explores cotton's defense mechanism against heat stress, including epigenetic regulations transgenic approaches, with focus on genome editing tools. Given limitations of traditional breeding, advanced omics technologies such as GWAS, transcriptomics, proteomics, ionomics, metabolomics, phenomics CRISPR-Cas9 offer promising solutions developing heat-resistant cotton varieties. highlights need innovative strategies ensure sustainable production under change.

Language: Английский

Citations

0
Quantitative Analysis of Pathogenesis-Related Protein Expression in Gossypium hirsutum L. to Elicitor-Induced Resistance against Cotton Leaf Curl Disease and Predicted In-Silico Protein-Protein Interactions DOI
Muhammad Fahad Khan, Syed Atif Hasan Naqvi,

Adnan Iqbal

et al.

Physiological and Molecular Plant Pathology, Journal Year: 2025, Volume and Issue: unknown, P. 102611 - 102611

Published: Feb. 1, 2025

Language: Английский

Citations

0
An Integrative Computational Approach for Identifying Cotton Host Plant MicroRNAs with Potential to Abate CLCuKoV-Bur Infection DOI Creative Commons
Muhammad Aleem Ashraf, Imran Shahid, Judith K. Brown

et al.

Viruses, Journal Year: 2025, Volume and Issue: 17(3), P. 399 - 399

Published: March 12, 2025

Cotton leaf curl Kokhran virus-Burewala (CLCuKoV-Bur) has a circular single-stranded ssDNA genome of 2759 nucleotides in length and belongs to the genus Begomovirus (family, Geminiviridae). CLCuKoV-Bur causes cotton disease (CLCuD) is transmitted by whitefly Bemisis tabaci cryptic species. Monopartite begomoviruses encode five open reading frames (ORFs). replicates through dsDNA intermediate. Five (ORFs) are organized small circular, (ss)-DNA (2759 bases). RNA interference (RNAi) naturally occurring process that revolutionized targeting gene regulation eukaryotic organisms combat virus infection. The aim this study was elucidate potential binding attractions cotton-genome-encoded microRNAs (Gossypium hirsutum-microRNAs, ghr-miRNAs) on ssDNA-encoded mRNAs using online bioinformatics target prediction tools, RNA22, psRNATarget, RNAhybrid, TAPIR. Using suite robust algorithms, predicted repertoire microRNA-binding landscape determined for consensus sequence. Previously experimentally validated hirsutum L.) miRNAs (n = 80) were selected from public repository miRNA registry miRBase (v22) hybridized silico into (AM421522) coding non-coding sequences. Of 80 ghr-miRNAs interrogated, 18 identified two four algorithms evaluated. Among them, ghr-miR399d (accession no. MIMAT0014350), located at coordinate 1747 genome, or “union” all represents an optimal designing artificial microRNA (amiRNA) silencing construct planta expression. Based predictions, ghr-miRNA-regulatory network developed ORFs Circos software version 0.6. These results represent first predictions with therapeutic developing CLCuD resistance upland plants.

Language: Английский

Citations

0
Advancing crop improvement through GWAS and beyond in mung bean DOI Creative Commons
Syed Riaz Ahmed,

Muhammad Jawad Asghar,

Amjad Hameed

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 18, 2024

Accessing the underlying genetics of complex traits, especially in small grain pulses is an important breeding objective for crop improvement. Genome-wide association studies (GWAS) analyze thousands genetic variants across several genomes to identify links with specific traits. This approach has discovered many strong associations between genes and number associated expected continue increase as GWAS sample sizes increase. a range applications like understanding architecture phenotype, estimating correlation heritability, developing maps based on novel identified quantitative trait loci (QTLs)/genes, hypotheses related traits next generation. So far, causative alleles have been using which had not previously detected QTL mapping. already successfully applied mung bean (

Language: Английский

Citations

3
Exploring Host Resistance and Character Association in Diverse Cotton Germplasm to Manage Cotton Leaf Curl Disease (CLCuD) at Two Hotspots in Punjab, Pakistan DOI

Asia Batool,

Jehanzeb Farooq,

Muhammad Jabran

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 76(4), P. 769 - 782

Published: June 20, 2024

Cotton leaf curl disease (CLCuD) caused by Begomoviruses is a significant constraint to cotton production in Pakistan. Breeding for resistance key strategy manage the disease. However, developing varieties with stable and good fiber quality poses challenge. Therefore, study aimed evaluate 71 genotypes, including 67 accessions from Pakistan, three Turkey one India, CLCuD yield traits at two locations (Faisalabad Vehari) Punjab. The association between was analyzed. A field trial conducted using randomized complete block design replications. Genotypes were evaluated severity, yield, traits. Correlation factor analyses done. results showed variation among genotypes other characteristics. Some like FH-490 FH-444 high length strength, tolerance CLCuD. These could be directly used as parent lines breeding programs. Furthermore, that CRS, Faisalabad 3 PCs have eigenvalue > 1 contribution of 69.86%. Vehari, these components contributed 66.98% total assessed CLCuD, fibre-related Screening criteria based on virus performance concerning superior boll number, sympodial branches weight, plant height. identified promising Character associations provide insights programs develop cultivars integrated quality.

Language: Английский

Citations

0