Fashion meets science: how advanced breeding approaches could revolutionize the textile industry

Gudi, Santosh; M, Pavan; Alagappan, Praveenkumar; Raigar, Om Prakash; Halladakeri, Priyanka; Gowda, Rakshith S. R.; Kumar, Pradeep; Singh, Gurjeet; Tamta, Meenakshi; Susmitha, Pusarla; Amandeep,; Saini, Dinesh Kumar

doi:10.1080/07388551.2024.2314309

Cited by 10 publications

(3 citation statements)

References 160 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…High-confidence MTAs identified through GWAS serve as potential targets for extracting CGs associated with the trait of interest. Several studies utilized GWAS-identified MTAs to extract the potential CGs associated with: (i) agronomic traits including days to anthesis, days to maturity, tiller number, spike length, spikelet number, grain number per spike, grain weight, and grain yield ( Gill et al., 2022 ; Gudi et al., 2024 ); (ii) physiological traits such as chlorophyll fluorescence, chlorophyll content, vegetation index, gas exchange, and stomatal conductance ( Hamdani et al., 2019 ; Gudi et al., 2023 ); (iii) stress tolerance such as drought, heat, salinity, etc ( Tanin et al., 2022 , Tanin et al., 2023 ; Tian et al., 2023 ); (iv) biochemical compounds such as proline, abscisic acid, and hydrogen peroxides (H 2 O 2 ) ( Verslues et al., 2014 ; Kamruzzaman et al., 2022 ); and (v) quality traits including grain protein content, sedimentation volume, kernel hardiness, solvent retention capacity, Fe content, and Zn content ( Gudi et al., 2022b ; Halladakeri et al., 2023 ). Similarly, in the present study we used 13 high-confidence MTAs explaining >10% phenotypic variance and having the LOD scores >5 to extract 216 CGs models.…”

Section: Discussionmentioning

confidence: 99%

Deciphering the genetic landscape of seedling drought stress tolerance in wheat (Triticum aestivum L.) through genome-wide association studies

Gudi,

Halladakeri,

Singh

et al. 2024

Front. Plant Sci.

Self Cite

View full text Add to dashboard Cite

Wheat is an important cereal crop constrained by several biotic and abiotic stresses including drought stress. Understating the effect of drought stress and the genetic basis of stress tolerance is important to develop drought resilient, high-yielding wheat cultivars. In this study, we investigated the effects of drought stress on seedling characteristics in an association panel consisting of 198 germplasm lines. Our findings revealed that drought stress had a detrimental effect on all the seedling characteristics under investigation with a maximum effect on shoot length (50.94% reduction) and the minimum effect on germination percentage (7.9% reduction). To gain a deeper understanding, we conducted a genome-wide association analysis using 12,511 single nucleotide polymorphisms (SNPs), which led to the identification of 39 marker-trait associations (MTAs). Of these 39 MTAs, 13 were particularly noteworthy as they accounted for >10% of the phenotypic variance with a LOD score >5. These high-confidence MTAs were further utilized to extract 216 candidate gene (CGs) models within 1 Mb regions. Gene annotation and functional characterization identified 83 CGs with functional relevance to drought stress. These genes encoded the WD40 repeat domain, Myb/SANT-like domain, WSD1-like domain, BTB/POZ domain, Protein kinase domain, Cytochrome P450, Leucine-rich repeat domain superfamily, BURP domain, Calmodulin-binding protein60, Ubiquitin-like domain, etc. Findings from this study hold significant promise for wheat breeders as they provide direct assistance in selecting lines harboring favorable alleles for improved drought stress tolerance. Additionally, the identified SNPs and CGs will enable marker-assisted selection of potential genomic regions associated with enhanced drought stress tolerance in wheat.

show abstract

Section: Discussionmentioning

confidence: 99%

Deciphering the genetic landscape of seedling drought stress tolerance in wheat (Triticum aestivum L.) through genome-wide association studies

Gudi,

Halladakeri,

Singh

et al. 2024

Front. Plant Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…( Li et al, 2015 ), G. arboreum ( Li et al, 2014 ), and G. raimondii ( Wang et al, 2012 ). A comprehensive and user-friendly repository comprising 11,226 QTLs and significant marker-trait associations derived from 136 studies related to various fiber quality characteristics in crops was provided ( Gudi et al, 2024 ). However, there are currently no reported analyses of the PDCB gene family at the whole-genome level in cotton.…”

Section: Introductionmentioning

confidence: 99%

Exploring the plasmodesmata callose-binding protein gene family in upland cotton: unraveling insights for enhancing fiber length

Zhang,

Xiao,

et al. 2024

PeerJ

View full text Add to dashboard Cite

Plasmodesmata are transmembrane channels embedded within the cell wall that can facilitate the intercellular communication in plants. Plasmodesmata callose-binding (PDCB) protein that associates with the plasmodesmata contributes to cell wall extension. Given that the elongation of cotton fiber cells correlates with the dynamics of the cell wall, this protein can be related to the cotton fiber elongation. This study sought to identify PDCB family members within the Gossypium. hirsutum genome and to elucidate their expression profiles. A total of 45 distinct family members were observed through the identification and screening processes. The analysis of their physicochemical properties revealed the similarity in the amino acid composition and molecular weight across most members. The phylogenetic analysis facilitated the construction of an evolutionary tree, categorizing these members into five groups mainly distributed on 20 chromosomes. The fine mapping results facilitated a tissue-specific examination of group V, revealing that the expression level of GhPDCB9 peaked five days after flowering. The VIGS experiments resulted in a marked decrease in the gene expression level and a significant reduction in the mature fiber length, averaging a shortening of 1.43–4.77 mm. The results indicated that GhPDCB9 played a pivotal role in the cotton fiber development and served as a candidate for enhancing cotton yield.

show abstract

“…Concomitantly, molecular markers, such as the Bru1 marker [ 29 , 30 ] for brown rust and the G1 marker [ 31 ] for orange rust, have been proposed to predict resistance in modern sugarcane cultivars. Similarly, molecular markers associated with genes responsible for resistance to these diseases can help breeding programs confirm the introgression of favourable alleles, find new sources of resistance, and release new cultivars with durable resistance [ 32 – 34 ]. Therefore, using a core collection of 300 sugarcane genotypes, the objectives of this study were: (i) field evaluation and genotyping of molecular markers linked to resistance to brown ( Bru1 ) and orange ( G1 ) rust; (ii) to evaluate markers for predicting the resistance/susceptible phenotype and their potential application in marker-assisted selection (MAS); and (iii) to track the presence/absence of the Bru1 marker in the genealogy of a modern sugarcane variety widely cultivated in Brazil.…”

Section: Introductionmentioning

confidence: 99%

Molecular evaluation and phenotypic screening of brown and orange rust in Saccharum germplasm

Oliveira,

Barreto,

Balsalobre

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Brazil is the largest global producer of sugarcane and plays a significant role—supplier of sugar and bioethanol. However, diseases such as brown and orange rust cause substantial yield reductions and economic losses, due decrease photosynthesis and biomass in susceptible cultivars. Molecular markers associated with resistance genes, such as Bru1 (brown rust) and G1 (orange rust), could aid in predicting resistant genotypes. In this study, we sought to associate the phenotypic response of 300 sugarcane accessions with the genotypic response of Bru1 and G1 markers. The field trials were conducted in a randomized block design, and five six-month-old plants per plot were evaluated under natural disease conditions. Genotypic information about the presence or absence of Bru1 (haplotype 1) and G1 gene was obtained after extraction of genomic DNA and conventional PCR. Of the total accessions evaluated, 60.3% (181) showed resistance to brown rust in the field, and of these, 70.7% (128) had the Bru1 gene present. Considering the field-resistant accessions obtained from Brazilian breeding programs (116), the Bru1 was present in 77,6% of these accessions. While alternative resistance sources may exist, Bru1 likely confers enduring genetic resistance in current Brazilian cultivars. Regarding the phenotypic reaction to orange rust, the majority of accessions, 96.3% (288), were field resistant, and of these, 52.7% (152) carried the G1 marker. Although less efficient for predicting resistance when compared to Bru1, the G1 marker could be part of a quantitative approach when new orange rust resistance genes are described. Therefore, these findings showed the importance of Bru1 molecular markers for the early selection of resistant genotypes to brown rust by genetic breeding programs.

show abstract

Fashion meets science: how advanced breeding approaches could revolutionize the textile industry

Cited by 10 publications

References 160 publications

Deciphering the genetic landscape of seedling drought stress tolerance in wheat (Triticum aestivum L.) through genome-wide association studies

Deciphering the genetic landscape of seedling drought stress tolerance in wheat (Triticum aestivum L.) through genome-wide association studies

Exploring the plasmodesmata callose-binding protein gene family in upland cotton: unraveling insights for enhancing fiber length

Molecular evaluation and phenotypic screening of brown and orange rust in Saccharum germplasm

Contact Info

Product

Resources

About