Literature DB >> 27256327

A comparative transcriptome analysis of two sets of backcross inbred lines differing in lint-yield derived from a Gossypium hirsutum × Gossypium barbadense population.

Wu Man1, Liyuan Zhang1, Xihua Li1, Xiaobing Xie1,2, Wenfeng Pei1, Jiwen Yu3, Shuxun Yu4, Jinfa Zhang5.   

Abstract

Upland cotton (Gossypium hirsutum L.) is the most important fiber crop, and its lint-yield improvement is impeded due to its narrow genetic base and the lack of understanding of the genetic basis of yield. Backcross inbred lines (BILs) or near-isogenic lines (NILs) in the same genetic background differing in lint yield, developed through advanced backcrossing, provide an important genomic resource to study the molecular genetic basis of lint yield. In the present study, a high-yield (HY) group and a low-yield (LY) group each with three BILs were selected from a BIL population between G. hirsutum and G. barbadense. Using a microarray-based comparative transcriptome analysis on developing fibers at 10 days post-anthesis (DPA) between the two groups, 1486 differentially expressed genes (DEGs) were identified. A total of 212 DEGs were further mapped in the regions of 24 yield QTL and 11 yield trait QTL hotspots as reported previously, and 81 DEGs mapped with the 7 lint-yield QTL identified in the BIL population from which the two sets of BILs were selected. Gene Ontology annotations and Blast-Mapping-Annotation-KEGG analysis via Blast2GO revealed that more DEGs were associated with catalytic activity and binding, followed by transporters, nucleic acid binding transcription factors, structural molecules and molecular transducer activities. Six DEGs were chosen for a quantitative RT-PCR assay, and the results were consistent with the microarray analysis. The development of DEGs-based markers revealed that 7 single strand conformation polymorphism-based single nucleotide polymorphic (SSCP-SNP) markers were associated with yield traits, and 3 markers with lint yield. In the present study, we identified a number of yield and yield component QTL-co-localizing DEGs and developed several DEG-based SSCP-SNP markers for the traits, thereby providing a set of candidate genes for molecular breeding and genetic manipulation of lint yield in cotton.

Entities:  

Keywords:  Backcross inbred lines; Cotton yield; Differentially expressed genes; Microarray; Single nucleotide polymorphism

Mesh:

Substances:

Year:  2016        PMID: 27256327     DOI: 10.1007/s00438-016-1216-x

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  44 in total

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Authors:  Doug J Hinchliffe; William R Meredith; Kathleen M Yeater; Hee Jin Kim; Andrew W Woodward; Z Jeffrey Chen; Barbara A Triplett
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3.  Cycloheximide treatment of cotton ovules alters the abundance of specific classes of mRNAs and generates novel ESTs for microarray expression profiling.

Authors:  Yingru Wu; Sophie Rozenfeld; Aurelie Defferrard; Katya Ruggiero; Joshua A Udall; Hyeran Kim; Danny J Llewellyn; Elizabeth S Dennis
Journal:  Mol Genet Genomics       Date:  2005-10-06       Impact factor: 3.291

4.  Cotton QTLdb: a cotton QTL database for QTL analysis, visualization, and comparison between Gossypium hirsutum and G. hirsutum × G. barbadense populations.

Authors:  Joseph I Said; Joseph A Knapka; Mingzhou Song; Jinfa Zhang
Journal:  Mol Genet Genomics       Date:  2015-03-11       Impact factor: 3.291

5.  Genome sequence of cultivated Upland cotton (Gossypium hirsutum TM-1) provides insights into genome evolution.

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Authors:  S Samuel Yang; Foo Cheung; Jinsuk J Lee; Misook Ha; Ning E Wei; Sing-Hoi Sze; David M Stelly; Peggy Thaxton; Barbara Triplett; Christopher D Town; Z Jeffrey Chen
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Journal:  Plant Cell       Date:  2006-02-03       Impact factor: 11.277

9.  Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population.

Authors:  Jean-Marc Lacape; Danny Llewellyn; John Jacobs; Tony Arioli; David Becker; Steve Calhoun; Yves Al-Ghazi; Shiming Liu; Oumarou Palaï; Sophie Georges; Marc Giband; Henrique de Assunção; Paulo Augusto Vianna Barroso; Michel Claverie; Gérard Gawryziak; Janine Jean; Michèle Vialle; Christopher Viot
Journal:  BMC Plant Biol       Date:  2010-06-28       Impact factor: 4.215

10.  Cotton fiber elongation network revealed by expression profiling of longer fiber lines introgressed with different Gossypium barbadense chromosome segments.

Authors:  Lei Fang; Ruiping Tian; Xinghe Li; Jiedan Chen; Sen Wang; Peng Wang; Tianzhen Zhang
Journal:  BMC Genomics       Date:  2014-10-02       Impact factor: 3.969

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  5 in total

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3.  Identification of Candidate Cotton Genes Associated With Fiber Length Through Quantitative Trait Loci Mapping and RNA-Sequencing Using a Chromosome Segment Substitution Line.

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4.  Comparative transcriptome analysis of fiber and nonfiber tissues to identify the genes preferentially expressed in fiber development in Gossypium hirsutum.

Authors:  Jiangtao Yang; Lihua Gao; Xiaojing Liu; Xiaochun Zhang; Xujing Wang; Zhixing Wang
Journal:  Sci Rep       Date:  2021-11-24       Impact factor: 4.379

5.  Comparative transcriptome analysis of cotton fiber development of Upland cotton (Gossypium hirsutum) and Chromosome Segment Substitution Lines from G. hirsutum × G. barbadense.

Authors:  Peng-Tao Li; Mi Wang; Quan-Wei Lu; Qun Ge; Md Harun Or Rashid; Ai-Ying Liu; Ju-Wu Gong; Hai-Hong Shang; Wan-Kui Gong; Jun-Wen Li; Wei-Wu Song; Li-Xue Guo; Wei Su; Shao-Qi Li; Xiao-Ping Guo; Yu-Zhen Shi; You-Lu Yuan
Journal:  BMC Genomics       Date:  2017-09-08       Impact factor: 3.969

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