Comparative fiber property and transcriptome analyses reveal key genes potentially related to high fiber strength in cotton (Gossypium hirsutum L.) line MD52ne

BMC Plant Biology
Md S IslamHee Jin Kim

Abstract

Individual fiber strength is an important quality attribute that greatly influences the strength of the yarn spun from cotton fibers. Fiber strength is usually measured from bundles of fibers due to the difficulty of reliably measuring strength from individual cotton fibers. However, bundle fiber strength (BFS) is not always correlated with yarn strength since it is affected by multiple fiber properties involved in fiber-to-fiber interactions within a bundle in addition to the individual fiber strength. Molecular mechanisms responsible for regulating individual fiber strength remain unknown. Gossypium hirsutum near isogenic lines (NILs), MD52ne and MD90ne showing variations in BFS provide an opportunity for dissecting the regulatory mechanisms involved in individual fiber strength. Comprehensive fiber property analyses of the NILs revealed that the superior bundle strength of MD52ne fibers resulted from high individual fiber strength with minor contributions from greater fiber length. Comparative transcriptome analyses of the NILs showed that the superior bundle strength of MD52ne fibers was potentially related to two signaling pathways: one is ethylene and the interconnected phytohormonal pathways that are involved in cotton f...Continue Reading

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Citations

Jul 13, 2016·Biochemical and Biophysical Research Communications·Yongchang LiuJie Sun
Feb 18, 2016·TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·Md S IslamDavid D Fang
Nov 1, 2017·Plant Biotechnology Journal·Javaria AshrafGuoli Song
Jan 13, 2017·BMC Genomics·Thiago Willian Almeida BalsalobreMonalisa Sampaio Carneiro
Aug 4, 2020·The Cell Surface·Xiaoyuan GuoPeter Ulvskov
Jun 11, 2021·Molecular Genetics and Genomics : MGG·Marina NaoumkinaChristopher B Florane

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Datasets Mentioned

BETA
SRS843163

Methods Mentioned

BETA
chips
infrared spectroscopy
Illumina sequencing
RNA-seq
PCR

Software Mentioned

EdgeR
BioVenn
agriGO Singular Enrichment Analysis
Favimat
agriGo
Bedtools
Excel
PlaNet
GRAMS
Graphad Prism

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