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Genomic and GWAS analyses demonstrate phylogenomic relationships of Gossypium barbadense in China and selection for fiber length, lint percentage, and Fusarium wilt resistance

ABSTRACT: Genomic and GWAS analyses demonstrate phylogenomic relationships of Gossypium barbadense in China and selection for fiber length, lint percentage, and Fusarium wilt resistance

PROVIDER: PRJNA767107 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR16105300_1.fastq.gz	Fastqsanger.gz
	SRR16105300_2.fastq.gz	Fastqsanger.gz
	SRR16105301_1.fastq.gz	Fastqsanger.gz
	SRR16105301_2.fastq.gz	Fastqsanger.gz
	SRR16105302_1.fastq.gz	Fastqsanger.gz

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Genomic and GWAS analyses demonstrate phylogenomic relationships of Gossypium barbadense in China and selection for fiber length, lint percentage, and Fusarium wilt resistance

Project description:Sea Island cotton (Gossypium barbadense) is the source of the world’s finest fiber-quality cotton, yet relatively little is understood about the genetic variation among diverse germplasm, the genes underlying important traits, and the effects of pedigree selection. Here, we resequenced 336 G. barbadense accessions and identified 16 million SNPs. Phylogenetic and population structure analyses revealed two major gene pools and a third admixed subgroup derived from geographical dissemination and interbreeding. We conducted a genome-wide association study (GWAS) of 15 traits including fiber quality, yield, disease resistance, maturity, and plant architecture. The highest number of associated loci was for fiber quality, followed by disease resistance and yield. Using gene expression analyses and VIGS transgenic experiments we confirmed the role of five candidate genes regulating four key traits, i.e., disease resistance, fiber length, fiber strength, and lint percentage. Geographical and temporal considerations demonstrate selection for the superior fiber quality (fiber length and fiber strength), and high lint-percentage in improving G. barbadense in China. Pedigree selection breeding wholly increased Fusarium wilt disease resistance, and separately improved fiber-quality and yield. Our work provides a foundation for understanding genomic variation in and selective breeding of Sea Island cotton.

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Genomic and GWAS analyses demonstrate phylogenomic relationships of Gossypium barbadense in China and selection for fibre length, lint percentage and Fusarium wilt resistance.

Project description:Sea Island cotton (Gossypium barbadense) is the source of the world's finest fibre quality cotton, yet relatively little is understood about genetic variations among diverse germplasms, genes underlying important traits and the effects of pedigree selection. Here, we resequenced 336 G. barbadense accessions and identified 16 million SNPs. Phylogenetic and population structure analyses revealed two major gene pools and a third admixed subgroup derived from geographical dissemination and interbreeding. We conducted a genome-wide association study (GWAS) of 15 traits including fibre quality, yield, disease resistance, maturity and plant architecture. The highest number of associated loci was for fibre quality, followed by disease resistance and yield. Using gene expression analyses and VIGS transgenic experiments, we confirmed the roles of five candidate genes regulating four key traits, that is disease resistance, fibre length, fibre strength and lint percentage. Geographical and temporal considerations demonstrated selection for the superior fibre quality (fibre length and fibre strength), and high lint percentage in improving G. barbadense in China. Pedigree selection breeding increased Fusarium wilt disease resistance and separately improved fibre quality and yield. Our work provides a foundation for understanding genomic variation and selective breeding of Sea Island cotton.

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A genome-wide analysis of expression differences during fiber initiation between Gossypium hirsutum and Gossypium barbadense

Project description:We compared different days post-anthesis (5DPA, 10DPA, 15DPA and 25DPA) differentially expressed genes (DEGs) in fiber development between G. hirsutum and G. barbadense. In addition, we analysis the differentially expressed genes (DEGs) function using the database for annotation, visualization and integrated discovery (DAVID). Overall, gene expression pattern have significantly difference between G. hirsutum and G. barbadense. In this study, G. barbadense DEGS in different two DPA are significantly more than G. hirsutum. In addation, there are 18937 DEGs were identified in fruit development and postembryonic development pathways and only upregulated in G. barbadense only. Taken together, these findings suggest that there are considerable differences of gene expression between G. hirsutum and G. barbadense in cotton fiber development different stages.

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Transcriptome sequencing was performed on Gossypium barbadense fibers at different developmental stages

Project description:The purpose of this study was to find candidate genes related to fiber strength by comparing the differences in gene expression levels of different samples at different stages of fiber development. Methods: PimaS-7 and 5917, two Gossypium barbadense materials with significant difference in fiber strength, were used as experimental materials. Transcriptome sequencing was performed on the fibers at 0,5,10,15,20,25,30,35 dPA after flowering, with three biological replicates。Sequence reads that were quality-screened were analyzed at the transcriptional subtype level using two methods :Burrows-Wheeler Aligner (BWA), then Aova (Aova) and Tophat, then Cufflinks. Results: Transcriptome analysis of 48 samples was completed, and a total of 317.57Gb of Clean Data was obtained. The Clean Data of all samples reached 5.78Gb, and the percentage of Q30 bases was 92.78% or above.The Clean Reads of each sample were sequenced with the designated reference genome, and the alignment efficiency ranged from 85.56% to 94.79%.Based on the comparison results, alternative splicing prediction analysis, gene structure optimization analysis and discovery of new genes were performed. 7,726 new genes were discovered, of which 6,612 were functional annotations. Conclusion: In this study, RNA-seq technology was used to analyze the changes of gene expression during the development of Gossypium barbadense fiber.Our results suggest that NGS provides a comprehensive and more accurate quantitative and qualitative assessment of RNA content in tissues.we conclusion that based on RNA-seq technology, the genes related to target traits can be obtained quickly.

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