, Volume 208, Issue 3, pp 597–608 | Cite as

EMS-mutated cotton populations suggest overlapping genetic control of trichome and lint fiber variation

  • Jinesh D. Patel
  • Robert J. Wright
  • Rahul Chandnani
  • Valorie H. Goff
  • Jennifer Ingles
  • Andrew H. Paterson


The complex genetic and environmental control of lint fiber yield and quality of cotton has long motivated interest in whether information from genetically-simpler trichome variations might contribute knowledge salient to cotton improvement. To investigate this question, from 3164 M5 lines resulting from EMS mutagenesis of two Gossypium hirsutum breeding lines, TAM 94L25 and Acala 1517-99, 106 lines with leaf and stem trichome variations and 55 control lines were further studied to investigate associations between trichome variation and lint fiber development. Although only weak correlation was found between stem/leaf trichome and fiber traits, we still found that among nine fiber traits measured in replicated trials, lines with mutations affecting stem trichome development had significant alterations for seven traits in the TAM 94L25 mutants, and six in the Acala 1517-99 mutants. While the small number of leaf trichome mutants found offered only minimal statistical power to resolve differences, mutant lines had significant alterations for three of the nine traits in the TAM 94L25 mutants, and two in the Acala 1517-99 mutants. In summary, mutants in leaf and/or stem trichome development often have altered lint fiber characteristics, supporting the hypothesis that there is considerable overlap in the sets of genetic factors acting in the development of these analogous organs. Moreover, visual selection of trichome mutants may be an effective screen to identify potential new alleles affecting lint fiber development.


Pubescence TAM 94L25 Acala 1517-99 EMS chemical mutation 



We thank the Consortium for Plant Biotechnology Research and Dow Agrosciences for financial support. We are thankful to Dr. Dick Auld for providing cotton mutant populations.

Author contribution

JDP—Field work and phenotypic data collection in Georgia, evaluation and selection of lines, experimental design, statistical analysis and manuscript writing. RJW—Data collection and field work in TX and manuscript editing. RC, VHG and JI—Field work in GA. AHP—Conceived the study, experimental design, data collection and field work in GA, evaluating and selection of lines, statistical analysis and manuscript writing and editing.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical Standards

All experiments were conducted in compliance with the current laws of the USA.

Supplementary material

10681_2015_1614_MOESM1_ESM.docx (38 kb)
Supplementary material 1 (DOCX 38 kb)


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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Jinesh D. Patel
    • 1
  • Robert J. Wright
    • 2
    • 3
  • Rahul Chandnani
    • 1
  • Valorie H. Goff
    • 1
  • Jennifer Ingles
    • 1
  • Andrew H. Paterson
    • 1
  1. 1.Plant Genome Mapping LaboratoryUniversity of GeorgiaAthensUSA
  2. 2.Plant and Soil Science DepartmentTexas Tech UniversityLubbockUSA
  3. 3.Texas A&M AgriLife ResearchLubbockUSA

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