The Pivotal Role of Major Chromosomes of Sub-Genomes A and D in Fiber Quality Traits of Cotton

Razzaq, Abdul; Zafar, Muhammad Mubashar; Ali, Arfan; Hafeez, Abdul; Sharif, Faiza; Guan, Xueing; Dèng, Xiǎoyīng; Li, Pengtao; Shí, Yùzhēn; Haroon, Muhammad; Gǒng, Wànkuí; Ren, Maozhi; Yuán, Yǒulù

doi:10.3389/fgene.2021.642595

Cited by 21 publications

(17 citation statements)

References 134 publications

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“…Furthermore, genome-wide molecular tools (several molecular markers, high-density genetic maps, genotyping strategies, etc.) have also played their role in selecting the best candidate lines and improving plants' genomes [13,14,36]. Recent genomic innovations have accelerated the breeding procedures by modifying the selection methods that are responsible for screening a large amount of data with more precision and efficient breeding (marker-assisted selection, association mapping, breeding by design, genomic selection, gene pyramiding, etc.)…”

Section: Development Of Genomic Technologies and Role In Plant Breedingmentioning

confidence: 99%

Novel Plant Breeding Techniques Shake Hands with Cereals to Increase Production

Haroon

Wang

Afzal

et al. 2022

Plants

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Cereals are the main source of human food on our planet. The ever-increasing food demand, continuously changing environment, and diseases of cereal crops have made adequate production a challenging task for feeding the ever-increasing population. Plant breeders are striving their hardest to increase production by manipulating conventional breeding methods based on the biology of plants, either self-pollinating or cross-pollinating. However, traditional approaches take a decade, space, and inputs in order to make crosses and release improved varieties. Recent advancements in genome editing tools (GETs) have increased the possibility of precise and rapid genome editing. New GETs such as CRISPR/Cas9, CRISPR/Cpf1, prime editing, base editing, dCas9 epigenetic modification, and several other transgene-free genome editing approaches are available to fill the lacuna of selection cycles and limited genetic diversity. Over the last few years, these technologies have led to revolutionary developments and researchers have quickly attained remarkable achievements. However, GETs are associated with various bottlenecks that prevent the scaling development of new varieties that can be dealt with by integrating the GETs with the improved conventional breeding methods such as speed breeding, which would take plant breeding to the next level. In this review, we have summarized all these traditional, molecular, and integrated approaches to speed up the breeding procedure of cereals.

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Section: Development Of Genomic Technologies and Role In Plant Breedingmentioning

confidence: 99%

Novel Plant Breeding Techniques Shake Hands with Cereals to Increase Production

Haroon

Wang

Afzal

et al. 2022

Plants

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“…Cotton is used to make textiles, clothes, medical supplies, and even food products, making it an incredibly versatile crop. Cotton is a vital cash crop for many countries, with production and export of cotton fiber contributing significantly to the GDP of many nations (Razzaq et al, 2022). It is also an important source of employment, providing jobs for millions of people worldwide, from cotton farmers to textile manufacturers.…”

Section: Introductionmentioning

confidence: 99%

Impact of Salt Stress on Cotton

2023

IJAB

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Salt stress is a major abiotic stress that affects plant growth and development at various stages of the plant's life cycle. The impact of salt stress on seedling, vegetative and reproductive stages can vary depending on the salt concentration, duration of exposure, and plant species. In general, salt stress can lead to reduced germination, growth inhibition, and decreased yield and quality of crops. At the physiological level, salt stress can cause osmotic and ionic stress, leading to water imbalance and nutrient deficiency. This can result in reduced photosynthesis, stomatal closure, and reduced transpiration rates. Plants exposed to salt stress may also accumulate excess reactive oxygen species (ROS) that can damage cell membranes, proteins, and DNA. In response to salt stress, plants activate various defense mechanisms such as osmo-protectants, antioxidants, and signaling pathways to mitigate the damage caused by ROS. Salt stress can also affect the fiber quality traits of crops. Studies have shown that cotton plants exposed to salt stress produce shorter and weaker fibers, leading to reduced yield and quality of cotton fiber. In conclusion, salt stress has a significant impact on various aspects of plant growth and development, including seedling, vegetative, and reproductive stages, as well as physiological and fiber quality traits. Understanding the mechanisms of salt stress tolerance in plants can help develop strategies to improve crop productivity and sustainability in saline environments.

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“…Cotton fiber quality is an important agronomic trait; therefore, significant efforts have been made to study its biological mechanisms [ 31 , 32 , 33 , 34 , 35 ]. In recent years, several key genes involved in fiber development have been reported [ 36 , 37 , 38 , 39 , 40 ], which have greatly contributed to the study of fiber development mechanisms, and studies have shown that hormones, functional genes, and transcription factors form a complex regulatory network that coordinates the dynamic fiber development process [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Revealing Genetic Differences in Fiber Elongation between the Offspring of Sea Island Cotton and Upland Cotton Backcross Populations Based on Transcriptome and Weighted Gene Coexpression Networks

Geng

Pang

et al. 2022

Genes

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Fiber length is an important indicator of cotton fiber quality, and the time and rate of cotton fiber cell elongation are key factors in determining the fiber length of mature cotton. To gain insight into the differences in fiber elongation mechanisms in the offspring of backcross populations of Sea Island cotton Xinhai 16 and land cotton Line 9, we selected two groups with significant differences in fiber length (long-fiber group L and short-fiber group S) at different fiber development stages 0, 5, 10 and 15 days post-anthesis (DPA) for transcriptome comparison. A total of 171.74 Gb of clean data was obtained by RNA-seq, and eight genes were randomly selected for qPCR validation. Data analysis identified 6055 differentially expressed genes (DEGs) between two groups of fibers, L and S, in four developmental periods, and gene ontology (GO) term analysis revealed that these DEGs were associated mainly with microtubule driving, reactive oxygen species, plant cell wall biosynthesis, and glycosyl compound hydrolase activity. Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis indicated that plant hormone signaling, mitogen-activated protein kinase (MAPK) signaling, and starch and sucrose metabolism pathways were associated with fiber elongation. Subsequently, a sustained upregulation expression pattern, profile 19, was identified and analyzed using short time-series expression miner (STEM). An analysis of the weighted gene coexpression network module uncovered 21 genes closely related to fiber development, mainly involved in functions such as cell wall relaxation, microtubule formation, and cytoskeletal structure of the cell wall. This study helps to enhance the understanding of the Sea Island–Upland backcross population and identifies key genes for cotton fiber development, and these findings will provide a basis for future research on the molecular mechanisms of fiber length formation in cotton populations.

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The Pivotal Role of Major Chromosomes of Sub-Genomes A and D in Fiber Quality Traits of Cotton

Cited by 21 publications

References 134 publications

Novel Plant Breeding Techniques Shake Hands with Cereals to Increase Production

Novel Plant Breeding Techniques Shake Hands with Cereals to Increase Production

Impact of Salt Stress on Cotton

Revealing Genetic Differences in Fiber Elongation between the Offspring of Sea Island Cotton and Upland Cotton Backcross Populations Based on Transcriptome and Weighted Gene Coexpression Networks

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