Improved lint yield under field conditions in cotton over-expressing transcription factors regulating fibre initiation

Liu, Shiming M.; Koebernick, Jenny; Walford, Sally-Ann; Constable, G. A.; Stiller, Warwick N.; Llewellyn, Danny

doi:10.1007/s11248-020-00214-x

Cited by 4 publications

(5 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2012 ). Simply enhancing the overall expression levels of MYB25-like and HD1 , even when using an ovule-specific promoter ( FBP-7 ), was unable to achieve what had been expected ( Liu et al . 2020 ), implying that the expression levels of the genes involved in the biological processes following fiber initiation have to be tempo-spatially synchronized and coordinated with the increased expression of MYB25-like and HD1 to ensure proper development of all fiber initials into lint fibers.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Dissecting the major genetic components underlying cotton lint development

Sun,

Yuan,

et al. 2023

Genetics

View full text Add to dashboard Cite

Numerous genetic loci and several functionally characterised genes have been linked to determination of lint percentage (lint%), one of the most important cotton yield components, but we still know little about the major genetic components underlying lint%. Here, we first linked the genetic loci containing MYB25-like_At and HD1_At to the fibreless seed trait of SL1-7-1 and found that MYB25-like_At and HD1_At were very lowly expressed in SL1-7-1 ovules during fibre initiation. We then dissected the genetic components involved in determination of lint% using segregating populations derived from crosses of fuzzless mutants and intermediate segregants with different lint%, which not only confirmed the HD1_At locus but identified the HD1_Dt locus as being the major genetic components contributing to fibre initiation and lint%. The segregating populations also allowed us to evaluate the relative contributions of MYB25-like_At, MYB25-like_Dt, HD1_At, and HD1_Dt to lint%. Haplotype analysis of a Upland cotton (Gossypium hirsutum) population with 723 accessions (including 81 fuzzless-seed accessions) showed that lint% of the accessions with the LP allele (higher lint%) at MYB25-like_At, MYB25-like_Dt, or HD1_At was significantly higher than that with the lp allele (lower lint%). The lint% of the Upland cotton accessions with three or four LP alleles at MYB25-like and HD1 was significantly higher than that with two LP alleles. The results prompted us to propose a strategy for breeding high yielding cotton varieties, i.e., pyramiding the LP alleles of MYB25-like and HD1 with new lint% LP alleles without negative impact on seed size and fibre quality.

show abstract

Section: Discussionmentioning

confidence: 99%

“…2012 ). But field experiments using transgenic cotton overexpressing HD1_At and MYB25-like individually or in combination showed that, generally, enhancing the expression of the gene(s) had little effect on lint% and lint yield, despite occasional observation of a few lines with higher lint% ( Liu et al . 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Dissecting the major genetic components underlying cotton lint development

Sun,

Yuan,

et al. 2023

Genetics

View full text Add to dashboard Cite

show abstract

“…There is a large variation of seed productivity within cotton germplasm, and evidently the medium-size seeds are reported in general to be more productive in lint than small or large ones (Minton and Supak 1980 ; Main et al 2013 ), except where they have been selected for high LP. Seed productivity could be further improved by increasing fibre density on seeds or modifying seed development process (Ruan 2013 ; Clement et al 2014 ; Liu et al 2020b ). As mentioned previously, as long as seeds stay within a reasonable size range, breeding for stabilising or improving seed oil should follow automatically, because of the positive relationship between SI and SOC reported in this study and many previous studies (Liu et al 2015a , b ; Shang et al 2016 ; Hu et al 2022 ).…”

Section: Discussionmentioning

confidence: 99%

“…Lint and seed yields are the outcomes of LI or SI multiplied by the total number of harvestable seeds in the field. Thus, yield improvement can be achieved by producing more seeds per unit area while maintaining other yield variables or vice versa or both (Ruan 2013 ; Liu et al 2020b ). Significant genetic variation for cotton yield and seed component traits is present in existing G. hirsutum germplasm collections (Kohel 1978 ), elite breeding lines (Dowd et al 2018 ; Liu et al 2015b ; Zeng et al 2015 ; Zhao et al 2019 ; Wang et al 2021 ; Zhu et al 2021 ), and within purposely created populations used for quantitative and molecular genetic studies (Campbell et al 2016 ; Liu et al 2015a ; Kothari et al 2016 ; Wang et al 2019 ; Yu et al 2012 ; Yuan et al 2018 ; Li et al 2023 ).…”

Section: Introductionmentioning

confidence: 99%

Quantitative genomics-enabled selection for simultaneous improvement of lint yield and seed traits in cotton (Gossypium hirsutum L.)

Li,

Zhu,

Moncuquet

et al. 2024

Theor Appl Genet

Self Cite

View full text Add to dashboard Cite

Key message A Bayesian linkage disequilibrium-based multiple-locus mixed model identified QTLs for fibre, seed and oil traits and predicted breeding worthiness of test lines, enabling their simultaneous improvement in cotton. Abstract Improving cotton seed and oil yields has become increasingly important while continuing to breed for higher lint yield. In this study, a novel Bayesian linkage disequilibrium-based multiple-locus mixed model was developed for QTL identification and genomic prediction (GP). A multi-parent population consisting of 256 recombinant inbred lines, derived from four elite cultivars with distinct combinations of traits, was used in the analysis of QTLs for lint percentage, seed index, lint index and seed oil content and their interrelations. All four traits were moderately heritable and correlated but with no large influence of genotype × environment interactions across multiple seasons. Seven to ten major QTLs were identified for each trait with many being adjacent or overlapping for different trait pairs. A fivefold cross-validation of the model indicated prediction accuracies of 0.46–0.62. GP results based on any two-season phenotypes were strongly correlated with phenotypic means of a pooled analysis of three-season experiments (r = 0.83–0.92). When used for selection of improvement in lint, seed and oil yields, GP captured 40–100% of individuals with comparable lint yields of those selected based on the three-season phenotypic results. Thus, this quantitative genomics-enabled approach can not only decipher the genomic variation underlying lint, seed and seed oil traits and their interrelations, but can provide predictions for their simultaneous improvement. We discuss future breeding strategies in cotton that will enhance the entire value of the crop, not just its fibre.

show abstract

“…Over-expressing TF genes, GhHD-1 , GhMYB25 , and GhMYB25 -like, in cotton can increase the density of fiber and fiber yield under field conditions. There are positive relationships between lint yield and LP and lint yield and fiber density in transgenic lines ( Liu et al, 2020 ). Currently, more than 50 genes related to fiber development have been reported, including the miR319 gene ( Supplementary Table S8 ).…”

Section: Candidate Genes and Regulatory Network Of Lint Percentagementioning

confidence: 99%

Inheritance, QTLs, and Candidate Genes of Lint Percentage in Upland Cotton

et al. 2022

View full text Add to dashboard Cite

Cotton (Gossypium spp.) is an important natural fiber plant. Lint percentage (LP) is one of the most important determinants of cotton yield and is a typical quantitative trait with high variation and heritability. Many cotton LP genetic linkages and association maps have been reported. This work summarizes the inheritance, quantitative trait loci (QTLs), and candidate genes of LP to facilitate LP genetic study and molecular breeding. More than 1439 QTLs controlling LP have been reported. Excluding replicate QTLs, 417 unique QTLs have been identified on 26 chromosomes, including 243 QTLs identified at LOD >3. More than 60 are stable, major effective QTLs that can be used in marker-assisted selection (MAS). More than 90 candidate genes for LP have been reported. These genes encode MYB, HOX, NET, and other proteins, and most are preferentially expressed during fiber initiation and elongation. A putative molecular regulatory model of LP was constructed and provides the foundation for the genetic study and molecular breeding of LP.

show abstract

Improved lint yield under field conditions in cotton over-expressing transcription factors regulating fibre initiation

Cited by 4 publications

References 34 publications

Dissecting the major genetic components underlying cotton lint development

Dissecting the major genetic components underlying cotton lint development

Quantitative genomics-enabled selection for simultaneous improvement of lint yield and seed traits in cotton (Gossypium hirsutum L.)

Inheritance, QTLs, and Candidate Genes of Lint Percentage in Upland Cotton

Contact Info

Product

Resources

About