1
|
Gudi S, M P, Alagappan P, Raigar OP, Halladakeri P, Gowda RSR, Kumar P, Singh G, Tamta M, Susmitha P, Amandeep, Saini DK. Fashion meets science: how advanced breeding approaches could revolutionize the textile industry. Crit Rev Biotechnol 2024:1-27. [PMID: 38453184 DOI: 10.1080/07388551.2024.2314309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
Natural fibers have garnered considerable attention owing to their desirable textile properties and advantageous effects on human health. Nevertheless, natural fibers lag behind synthetic fibers in terms of both quality and yield, as these attributes are largely genetically determined. In this article, a comprehensive overview of the natural and synthetic fiber production landscape over the last 10 years is presented, with a particular focus on the role of scientific breeding techniques in improving fiber quality traits in key crops like cotton, hemp, ramie, and flax. Additionally, the article delves into cutting-edge genomics-assisted breeding techniques, including QTL mapping, genome-wide association studies, transgenesis, and genome editing, and their potential role in enhancing fiber quality traits in these crops. A user-friendly compendium of 11226 available QTLs and significant marker-trait associations derived from 136 studies, associated with diverse fiber quality traits in these crops is furnished. Furthermore, the potential applications of transcriptomics in these pivotal crops, elucidating the distinct genes implicated in augmenting fiber quality attributes are investigated. Additionally, information on 11257 candidate/characterized or cloned genes sourced from various studies, emphasizing their key role in the development of high-quality fiber crops is collated. Additionally, the review sheds light on the current progress of marker-assisted selection for fiber quality traits in each crop, providing detailed insights into improved cultivars released for different fiber crops. In conclusion, it is asserted that the application of modern breeding tools holds tremendous potential in catalyzing a transformative shift in the textile industry.
Collapse
Affiliation(s)
- Santosh Gudi
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
- Department of Plant Pathology, ND State University, Fargo, ND, USA
| | - Pavan M
- Department of Apparel and Textile Science, Punjab Agricultural University, Ludhiana, India
| | - Praveenkumar Alagappan
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Om Prakash Raigar
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Priyanka Halladakeri
- Department of Genetics and Plant Breeding, Anand Agricultural University, Anand, India
- VNR Seeds, Pvt. Ltd, Raipur, India
| | - Rakshith S R Gowda
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
- Centre for Crop and Food Innovation, Murdoch University, Perth, Australia
| | - Pradeep Kumar
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
- Department of Agronomy, Horticulture, and Plant Science, SD State University, Brookings, SD, USA
| | - Gurjeet Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
- AgriLife Research Center at Beaumont, TX A&M University, College Station, TX, USA
| | - Meenakshi Tamta
- Department of Apparel and Textile Science, Punjab Agricultural University, Ludhiana, India
| | - Pusarla Susmitha
- Regional Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Anakapalle, India
| | - Amandeep
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Dinesh Kumar Saini
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
- Department of Plant and Soil Science, TX Tech University, Lubbock, TX, USA
| |
Collapse
|
2
|
Gowda RSR, Sharma S, Gill RS, Mangat GS, Bhatia D. Genome wide association studies and candidate gene mining for understanding the genetic basis of straw silica content in a set of Oryza nivara (Sharma et Shastry) accessions. Front Plant Sci 2023; 14:1174266. [PMID: 37324704 PMCID: PMC10266271 DOI: 10.3389/fpls.2023.1174266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 04/25/2023] [Indexed: 06/17/2023]
Abstract
Rice is a high-silica (SiO2·nH2O) accumulator. Silicon (Si) is designated as a beneficial element associated with multiple positive effects on crops. However, the presence of high silica content is detrimental to rice straw management, hampering its use as animal feed and as raw material in multiple industries. Rice straw management is a serious concern in north-western India, and it is eventually burned in situ by farmers, contributing to air pollution. A practical solution could lie in reducing the silica content in rice while also attaining sound plant growth. A set of 258 Oryza nivara accessions along with 25 cultivated varieties of Oryza sativa was used to assess the variation in straw silica content using the molybdenum blue colorimetry method. A large continuous variation was observed for straw silica content in O. nivara accessions, ranging from 5.08% to 16%, while it varied from 6.18% to 15.81% in the cultivated varieties. The O. nivara accessions containing 43%-54% lower straw silica content than the currently prominent cultivated varieties in the region were identified. A set of 22,528 high-quality single nucleotide polymorphisms (SNPs) among 258 O. nivara accessions was used for estimating population structure and genome-wide association studies (GWAS). A weak population structure with 59% admixtures was identified among O. nivara accessions. Further, multi-locus GWAS revealed the presence of 14 marker-trait associations (MTAs) for straw silica content, with six of them co-localizing with previously reported quantitative trait loci (QTL). Twelve out of 14 MTAs showed statistically significant allelic differences. Thorough candidate gene analyses revealed the presence of promising candidate genes, including those encoding the ATP-binding cassette (ABC) transporter, Casparian thickening, multi-drug and toxin extrusion (MATE) protein, F-box, and MYB-transcription factors. Besides, ortho-QTLs among rice and maize genomes were identified, which could open ways for further genetic analysis of this trait. The findings of the study could aid in further understanding and characterizing genes for Si transport and regulation in the plant body. The donors carrying the alleles for lower straw silica content can be used in further marker-assisted breeding programs to develop rice varieties with lower silica content and higher yield potential.
Collapse
Affiliation(s)
- Rakshith S. R. Gowda
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Sandeep Sharma
- Department of Soil Science, Punjab Agricultural University, Ludhiana, India
| | - Ranvir Singh Gill
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Gurjit Singh Mangat
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Dharminder Bhatia
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| |
Collapse
|