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has played a significant role in fiber and root hair development by controlling the jasmonic acid biosynthesis, ethylene signaling, calcium channel and reactive oxygen species (Hao et al. 2012). Though, GhHOX3 from class IV homeo‐domain‐leucine zipper (HD‐ZIP) family showed strong expression during early fiber elongation (Shan et al. 2014). Besides transcription factors, phytohormones such as ethylene, auxins and brassinosteroids (BR) also play a critical role during fiber development. Ethylene plays a vital function in fiber elongation by stimulating the pectin biosynthesis network (Qin and Zhu 2011), while gibberellins (GA) and indole‐3‐acetic acid (IAA) are required for fiber initiation and elongation in cotton (Xiao et al. 2010). In contrast, the persistent high concentration of jasmonic acid (JA) inhibits fiber elongation (Tan et al. 2012). Though several gene expression studies have been reported on cotton fiber development, some issues are illustrated here. First, most of the differentially expressed genes identified by the comparative analyses are associated with variations between species rather than related to fiber traits. Second, in some cases, the use of the protein‐coding gene sequences from Gossypium raimondii and Gossypium arboreum may not be accurate enough for gene annotation in tetraploid cotton. Third, it is unknown whether any of the expressed genes recognized from earlier reports had sequence variations between a cotton fiber mutant and its wild type because only the differentially expressed genes having sequence differences and co‐localization with target fiber traits are possible candidates for advanced cotton studies. These excellent contributions extremely facilitate vector construction for functional genes analyses and screening via the “genotype‐to‐phenotype” approach. Thus, the arsenal of cotton genomic manipulation urgently needs to be updated to meet the demand for rapid and precise dissecting gene functional analyses. Based on the presented facts and the well‐documented functional genomics of fiber quality traits, along with the availability of genetic resources and the high transformation efficiency, the employment of the CRISPR/Cas system is a better choice for cotton fiber quality improvement.

      The genetic transformation methods in plants have made tremendous progress especially in soybean breeding programs, to produce novel, and genetically variable, plant material. These transformation techniques have been utilized previously to study the functional aspects of soybean (Stewart et al. 1996). These transgenic plants represented a priceless tool for molecular, genetic, biochemical and physiological studies by gene overexpression or silencing, transposon‐based mutagenesis, protein sub‐cellular localization and/or promoter characterization. However, there are some disadvantages to this traditional method. The introduced genes may cause non‐targeted mutagenesis ultimately interrupting the endogenous or exogenous genes which may have negative results. The RNAi technique possesses the ability to silence a whole gene family hough, the silencing of only targeted gene is required. The genome modifications of soybean are complex due to the fact that genes are highly duplicated in nature. Thus, precise, efficient and straightforward methods for researching gene functions and genome engineering are required. Recently, CRISPR/Cas9 has emerged as a robust and effective technology for editing each member of a gene family without influencing other genes or simultaneously editing multiple genes of interest, thereby overcoming the shortcomings of the traditional plant‐breeding methods.

      To improve the oxidative stability and quality of soybean oil, breeding programs have mainly focused on reducing the saturated fatty acid and linolenic acid contents and increasing oleic acid in the oil. Hence, delta‐12 fatty‐acid desaturase 2 (FAD2), which converts oleic acid (18 : 1) to linolenic acid (18 : 2), becomes the target for modification via molecular breeding. There are two FAD2 loci, FAD2–1A (Glyma10g42470) and FAD2–1B (Glyma20g24530),