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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2022.864850</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Genetics, Breeding and Genetic Engineering to Improve Cottonseed Oil and Protein: A Review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Man</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/269169/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Pei</surname> <given-names>Wenfeng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1441276/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wedegaertner</surname> <given-names>Tom</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Jinfa</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/362317/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Yu</surname> <given-names>Jiwen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>State Key Laboratory of Cotton Biology, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Institute, Cotton Research of Chinese Academy of Agricultural Sciences</institution>, <addr-line>Anyang</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University</institution>, <addr-line>Zhengzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Cotton Incorporated</institution>, <addr-line>Cary, NC</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Plant and Environmental Sciences, New Mexico State University</institution>, <addr-line>Las Cruces, NM</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Linghe Zeng, United States Department of Agriculture (USDA), United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Sandra E. Branham, Clemson University, United States; Fred Bourland, University of Arkansas, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Jinfa Zhang, <email>jinfazhang@nmsu.edu</email></corresp>
<corresp id="c002">Jiwen Yu, <email>yujw666@hotmail.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>864850</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Wu, Pei, Wedegaertner, Zhang and Yu.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Wu, Pei, Wedegaertner, Zhang and Yu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Upland cotton (<italic>Gossypium hirsutum</italic>) is the world&#x2019;s leading fiber crop and one of the most important oilseed crops. Genetic improvement of cotton has primarily focused on fiber yield and quality. However, there is an increased interest and demand for enhanced cottonseed traits, including protein, oil, fatty acids, and amino acids for broad food, feed and biofuel applications. As a byproduct of cotton production, cottonseed is an important source of edible oil in many countries and could also be a vital source of protein for human consumption. The focus of cotton breeding on high yield and better fiber quality has substantially reduced the natural genetic variation available for effective cottonseed quality improvement within Upland cotton. However, genetic variation in cottonseed oil and protein content exists within the genus of <italic>Gossypium</italic> and cultivated cotton. A plethora of genes and quantitative trait loci (QTLs) (associated with cottonseed oil, fatty acids, protein and amino acids) have been identified, providing important information for genetic improvement of cottonseed quality. Genetic engineering in cotton through RNA interference and insertions of additional genes of other genetic sources, in addition to the more recent development of genome editing technology has achieved considerable progress in altering the relative levels of protein, oil, fatty acid profile, and amino acids composition in cottonseed for enhanced nutritional value and expanded industrial applications. The objective of this review is to summarize and discuss the cottonseed oil biosynthetic pathway and major genes involved, genetic basis of cottonseed oil and protein content, genetic engineering, genome editing through CRISPR/Cas9, and QTLs associated with quantity and quality enhancement of cottonseed oil and protein.</p>
</abstract>
<kwd-group>
<kwd>seed oil content (SOC)</kwd>
<kwd>fatty acid</kwd>
<kwd>seed protein content (SPC)</kwd>
<kwd>amino acids</kwd>
<kwd>genome editing</kwd>
<kwd>quantitative trait loci (QTLs)</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
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</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Upland cotton (<italic>Gossypium hirsutum</italic> L.) is the world&#x2019;s leading fiber crop, as well as one of the most important oilseed crops along with soybean, rapeseed, sunflower and peanut.<sup><xref ref-type="fn" rid="footnote1">1</xref></sup> The production of the cotton fiber and cottonseed is normally at the ratio of 1:1.65, and cottonseed oil accounts for about 20% of the whole seed weight, and the oil is the second most valuable component of the cotton crop behind fiber, on a price per unit weight basis (<xref ref-type="bibr" rid="B73">O&#x2019;Brien et al., 2005</xref>). Because of its rather neutral flavor, cottonseed oil is commonly desired by the food industry as it does not mask the natural flavor of the food used to cook or process. Cottonseed is also rich in high quality protein containing amino acids that are important for both human consumption (if the toxic gossypol is removed) and animal feeds, especially farm raised fish. The global production of cottonseed protein is estimated to be about 11 million metric tons annually. In fact, cottonseed is the second most important potential source of plant proteins after soybean (<xref ref-type="bibr" rid="B94">Spadaro and Gardner, 1979</xref>). However, cottonseed and its derivative products are traditionally regarded as a by-product of the more valuable cotton fiber production, providing only about 14&#x2013;19% of farm-gate value in cotton production.<sup><xref ref-type="fn" rid="footnote2">2</xref></sup> The fact that cottonseed is a by-product of cotton production greatly improves its sustainability metrics compared to other oilseeds. Cotton research has thus far been understandably focused primarily on the yield and quality of cotton fiber, while the seed traits, except for seed germination and seed size, are relatively neglected. Consequently, the research and development focus on cottonseeds has been lagging behind other oilseed crops in spite of its abundance in availability and excellent potentials for improvement.</p>
<p>There is a long history of cottonseed oil utilization going back more than 100 years. This arose along with the cotton plantation in the new world and cottonseed oil dominated the vegetable oil market until the rise of soybean oil and canola oil in the 1950s. As Upland cotton production was expanded from the United States to other countries, the use of cottonseed oil for food and protein for animal feed became common in all the cotton growing areas in the world. Cottonseed oil is generally favored due to not only its ready availability and specifically developed extraction technology, but also its bland flavor, does not mask the true flavor of the food that it cooks. Its high smoke point makes it ideal and somewhat superior to other vegetable oils and animal fats for frying applications. As it contains a relatively high level of saturated fatty acids that confers high oxidative stability and high melting point, cottonseed oil has also commonly be used in food industry as &#x201C;an invisible oil&#x201D; in the processed snack foods, margarine making and various confectionery applications (<xref ref-type="bibr" rid="B60">Liu et al., 2008</xref>; <xref ref-type="bibr" rid="B59">Liu, 2011</xref>). More recently, the use of cottonseed oil for renewal fuels (mostly biodiesel) has also attracted considerable attention, as it has a negative carbon profile and could significantly reduce CO<sub>2</sub> emission in comparison to fossil fuels (<xref ref-type="bibr" rid="B41">Karaosmanoglu et al., 1999</xref>; <xref ref-type="bibr" rid="B69">Meneghetti et al., 2007</xref>). The whole cottonseed or the meal following oil extraction is rich in proteins and used as popular source of animal feed. Globally, approximately 10 million metric tons of protein is produced by cottonseed (<xref ref-type="bibr" rid="B49">Kumar et al., 2021</xref>). Cottonseed protein is endowed with a high level of arginine relative to most plant-based proteins, which has been shown to slow down cancer progression, to act a principal regulator of blood pressure, and to cause a relaxation of cardiovascular smooth muscle cells following conversion to nitric oxide (<xref ref-type="bibr" rid="B64">Lowell et al., 1990</xref>; <xref ref-type="bibr" rid="B71">Moncada and Higgs, 1993</xref>). Lysine is an important amino acid for humans and animals; and cottonseed kernels contain on average 2.3% lysine (dry weight of kernel powder basis), higher than rice (2.15%) and lower than wheat (2.7%) (<xref ref-type="bibr" rid="B14">Chen et al., 1986</xref>). There is an increasing trend of using whole intact cottonseed for feeding lactating dairy cows by leveraging the rumen bypass effects offered by the thick seed coat and remaining fuzz (i.e., linters) following ginning. In addition, cotton is also rich in antioxidants such tocopherols with vitamin E as its main form (<xref ref-type="bibr" rid="B92">Smith and Creelman, 2001</xref>).</p>
<p>Despite the continued research focus on cotton fiber, the prospects of increased utilization of cottonseed oil as food, feed and biofuels, have encouraged researchers to develop ways to genetically improve cottonseed products and maximize the outcome for enhanced fiber production and quality, improved nutritional value and expanded industrial applications. Furthermore, there is an environmental impetus to develop such a sustainable byproduct of a valuable fiber crop because of its abundant availability without the need for additional land use and detrimental greenhouse gas emission (<xref ref-type="bibr" rid="B132">Zucker and Zucker, 1943</xref>; <xref ref-type="bibr" rid="B76">Ory and Flick, 1994</xref>; <xref ref-type="bibr" rid="B2">Alford et al., 1996</xref>).</p>
<p>Cotton has a complex genetic base as an allotetraploid species and complicated genetic mechanisms underpinning the accumulation of various valuable metabolites in cottonseed and the development of fibers which cover the seeds. Nevertheless, considerable progress has been made to elucidate the molecular and biochemical mechanism, which has also been used in numerous attempts in genetically enhancing the accumulation or alteration of the relative levels of protein, amino acids, oil, and fatty acid composition in cottonseed. The objective of this review is to summarize and discuss the cottonseed oil biosynthetic pathways and major genes involved, genetic basis of cottonseed oil and protein content, genetic engineering, genome editing through CRISPR/Cas9, and QTLs associated with quantity and quality enhancement of cottonseed oil and protein.</p>
</sec>
<sec id="S2">
<title>Cottonseed Oil and Storage Proteins Biosynthesis and Accumulation</title>
<p>The biochemical processes involved in the biosynthesis of seed oil are relatively well known (<xref ref-type="bibr" rid="B7">Browse and Ohlrogge, 1995</xref>; <xref ref-type="bibr" rid="B74">Ohlrogge and Jaworski, 1997</xref>; <xref ref-type="bibr" rid="B100">Voelker and Kinney, 2001</xref>). Currently, there is a profound understanding on the biochemical and molecular functions of most steps in the lipid biosynthetic pathway, as well as the inheritance of phenotypic performance of various mutants corresponding to these metabolic steps in model plants (<xref ref-type="bibr" rid="B8">Byrne et al., 1996</xref>; <xref ref-type="bibr" rid="B68">McMullen et al., 1998</xref>). With the advent of numerous high quality genome sequence databases derived from cotton and associated <italic>Gossypium</italic> species, attempts have been made to identify key genes and their interactive gene networks that are involved in oil biosynthesis in cotton (<xref ref-type="bibr" rid="B62">Liu et al., 2009</xref>; <xref ref-type="bibr" rid="B39">Jiao et al., 2013</xref>; <xref ref-type="bibr" rid="B36">Hovav et al., 2015</xref>; <xref ref-type="bibr" rid="B38">Hu et al., 2016</xref>; <xref ref-type="bibr" rid="B108">Xu et al., 2016</xref>; <xref ref-type="bibr" rid="B129">Zhao et al., 2018c</xref>; <xref ref-type="bibr" rid="B67">Ma et al., 2021</xref>; <xref ref-type="bibr" rid="B130">Zhu et al., 2021</xref>). The current understanding for the general biosynthetic pathway of cottonseed oil is shown in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>The current understanding for the general biosynthetic pathway of cottonseed oil.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-864850-g001.tif"/>
</fig>
<p>The major constituent of cottonseed oil is triacylglycerols (TAG) that is comprised of three fatty acids esterified on a glycerol backbone. Cottonseed oil accumulates during the maturation phase of the embryo, which is a highly compartmentalized process including <italic>de novo</italic> biosynthesis of fatty acids mainly occurring in plastids, production of glycerol 3-phoshpate (G-3-P) in cytoplasm and TAG assembly by dehydration condensation of acyl-CoA and G-3-P in endoplasmic reticulum (ER) (<xref ref-type="bibr" rid="B72">Nikolau et al., 2003</xref>). The TAG molecules contain the same acyl groups that are also found in membrane lipids, which are predominantly linoleate (18:2), followed by palmitate (16:0), oleate (18:1), stearate (18:0), and linolenate (18:3), in addition to a number of minor fatty acids (<xref ref-type="bibr" rid="B15">Cherry, 1983</xref>). The final step of TAG assembly, the acylation of the <italic>sn</italic>-3 position of 1,2 diacylglycerol catalyzed by diacylglycerol acyltransferase (DGAT) to form TAG is commonly regarded as a rate-limiting step (<xref ref-type="bibr" rid="B31">Guo et al., 2017</xref>) and plays a substantial role in determining oil content in cottonseed. The resulting TAG molecules in ER will accumulate within a sphere structure known as lipid droplets or oil bodies covered by a monolayer of phospholipids membrane that is decorated with numerous lipid droplets associated proteins, such as oleosin, caleosin, stereoleosin and others. When a lipid droplet reaches a certain size, it will bud off and be released into the cytoplasm (<xref ref-type="bibr" rid="B100">Voelker and Kinney, 2001</xref>). It has been generally recognized that <italic>DGAT1</italic> plays a crucial role in determining TAG production as it catalyzes the rate-limiting step to convert DAG into TAG. However, there are reports that <italic>DGAT3</italic> may play a more active role in promoting TAG biosynthesis in light of transcriptome analysis of developing cottonseeds, although empirical evidence is required (<xref ref-type="bibr" rid="B36">Hovav et al., 2015</xref>; <xref ref-type="bibr" rid="B129">Zhao et al., 2018c</xref>). A considerable body of literature is now available to imply that a number of transcription factors, such as <italic>WRI1</italic>, are playing an imperative role in fostering the carbon reallocation toward to <italic>de novo</italic> fatty acids biosynthesis in plastids and rendering increased availability for TAG biosynthesis (<xref ref-type="bibr" rid="B47">Kong et al., 2019</xref>). In congruence, <italic>WRI1</italic> and <italic>NF-YB6</italic> were highly expressed and displayed coordinated temporal patterns with oil accumulation in cottonseeds (<xref ref-type="bibr" rid="B128">Zhao et al., 2018b</xref>). That the key genes involved in <italic>de novo</italic> fatty acid biosynthesis, such as <italic>SAD6</italic> and <italic>FATA</italic>, showed clear differential expression concomitant with oil accumulation, which were substantially highly expressed in <italic>G. barbadense</italic> than in <italic>G. hirsutum</italic>, highlighting the divergence between these two closely related allotetraploid cottons (<xref ref-type="bibr" rid="B130">Zhu et al., 2021</xref>). Some other enzymes in plastids, such as <italic>GhPEPC1</italic>, are not only involved in photosynthesis but also key to the inflowing of carbon turnover to fatty acid biosynthesis attributable to the accumulation of cottonseed oil (<xref ref-type="bibr" rid="B108">Xu et al., 2016</xref>). In higher plants, seed storage proteins are synthesized on the rough ER, using amino acids directly taken up by the embryo, or obtained after transamination reactions. Subsequently, they are transported into protein storage vacuoles by a vesicle-mediated pathway (<xref ref-type="bibr" rid="B40">Jolliffe et al., 2005</xref>). In cottonseed, two major classes of storage proteins are globulins and albumins, which differ in their solubility properties. Both globulins and albumins are synthesized and compartmentalized in storage protein vacuoles during cottonseed maturation (<xref ref-type="bibr" rid="B27">Dure and Chlan, 1981</xref>).</p>
</sec>
<sec id="S3">
<title>Factors Affecting Cottonseed Oil and Protein Contents</title>
<p>The contents of oil and protein in cottonseeds are quantitative traits that are simultaneously affected by genetic and environmental factors and their interactions. Cottonseed oil and protein contents often vary among different growing seasons, growing locations and years (<xref ref-type="bibr" rid="B91">Singh et al., 1985</xref>; <xref ref-type="bibr" rid="B20">Dani and Kohel, 1989</xref>; <xref ref-type="bibr" rid="B109">Ye et al., 2003</xref>). The interactive effects of the genotype &#x00D7; environment depend on not only environmental factors such as water, fertilizer, soil, light and temperature, but also on the relative contribution of the parent genotypes to the trait (<xref ref-type="bibr" rid="B103">Wang, 1992</xref>; <xref ref-type="bibr" rid="B34">Hom et al., 2015</xref>). However, the fatty acid composition of seed oil is mainly determined by the genotype of the developing embryo (embryogenic control) (<xref ref-type="bibr" rid="B24">Downey and Harvey, 1963</xref>; <xref ref-type="bibr" rid="B28">Ecker and Yaniv, 1993</xref>; <xref ref-type="bibr" rid="B99">Velasco et al., 2004</xref>). <xref ref-type="bibr" rid="B44">Kohel (1980)</xref> estimated a moderate heritability based on a 20 &#x00D7; 5 NCII design and a low heritability based on F<sub>2</sub>/F<sub>3</sub> regression for cottonseed oil content. Heritability estimates for oil content varied from low (<xref ref-type="bibr" rid="B70">Meredith et al., 2012</xref>) to moderate (<xref ref-type="bibr" rid="B118">Zeng et al., 2015</xref>; <xref ref-type="bibr" rid="B9">Campbell et al., 2016</xref>; <xref ref-type="bibr" rid="B48">Kothari et al., 2016</xref>) or high (<xref ref-type="bibr" rid="B110">Yu et al., 2012</xref>; <xref ref-type="bibr" rid="B126">Zhao et al., 2019</xref>), depending on different genetic backgrounds of cultivars and testing environmental conditions in these studies. <xref ref-type="bibr" rid="B91">Singh et al. (1985)</xref> showed that the contents of protein and oil exhibited non-additive genetic effects with a substantial environmental influence based on a set of diallel crosses involving ten parents. However, <xref ref-type="bibr" rid="B114">Yuan et al. (2001)</xref> showed that oil content was controlled mainly by maternal additive effect, while protein content by direct additive effect in F3 seeds harvested from F2 hybrids between four Upland lines with the double recessive (<italic>gl<sub>2</sub>gl<sub>3</sub></italic>) glandless trait and five Upland lines with the dominant glandless (<italic>Gl<sub>2</sub><italic><sup>e</sup></italic></italic>) trait. Based on F3 hybrids between 13 cotton chromosome substitution lines (CSLs) each carrying a pair of chromosomes or arms from <italic>G. barbadense</italic> and five elite Upland cultivars, <xref ref-type="bibr" rid="B106">Wu et al. (2010)</xref> confirmed that seed oil content had significant cytoplasmic effects and also dominance effects, while protein content had significant embryo additive effects based on the additive and dominance (AD) genetic model with cytoplasmic effects. In 316 Upland cotton accessions genotyped by 390 K SNPs, <xref ref-type="bibr" rid="B26">Du et al. (2018b)</xref> indicated that cottonseed protein, oil, palmitic, linoleic, oleic, myristic and stearic acid contents exhibited significant additive and dominance effects; however, the epistatic effects and genotype-environment interactions were largely diverse across traits. Therefore, cottonseed oil and protein contents are heritable traits that are controlled by multiple genes with additive and dominant effects with variable heritability estimates.</p>
<p>The content of cottonseed oil is strongly and negatively correlated with protein content (<xref ref-type="bibr" rid="B32">Hanny et al., 1978</xref>; <xref ref-type="bibr" rid="B45">Kohel and Cherry, 1983</xref>; <xref ref-type="bibr" rid="B105">Wu et al., 2009</xref>; <xref ref-type="bibr" rid="B110">Yu et al., 2012</xref>; <xref ref-type="bibr" rid="B33">Hinze et al., 2015</xref>; <xref ref-type="bibr" rid="B9">Campbell et al., 2016</xref>), but positively correlated with fiber length, fiber uniformity and fiber strength (<xref ref-type="bibr" rid="B48">Kothari et al., 2016</xref>). A recent study by <xref ref-type="bibr" rid="B113">Yuan et al. (2019)</xref> confirmed the significant positive correlation of the total fatty acid content in cottonseeds with fiber length and strength and its significant negative correlation with fiber uniformity. Furthermore, palmitic acid content was significantly and positively correlated with fiber elongation. However, the study further showed that the reverse was true for the correlations of cottonseed protein content with fiber length, strength, and uniformity. The correlation analysis further suggested that the above well-documented negative association between seed protein and oil contents may be to some extent attributed to the negative correlation between oleic acid and protein content. Research efforts to increase the oil content of cottonseed, which will most likely also decrease the level of protein, will actually have a positive impact on cottonseed value and sustainability metrics due to being able to reduce the level of fertilizer (mainly supplemental nitrogen) applied to the plant to support protein production in the seed. Increasing seed oil and reducing seed protein will therefore positively impact the carbon footprint for cotton production and utilization.</p>
</sec>
<sec id="S4">
<title>Genetic Variation Within <italic>Gossypium</italic> and Classical Genetic Studies of Cottonseed Oil, Fatty Acid, and Protein Contents</title>
<p>One of the biggest challenges in improving the cottonseed quality traits is the limited amendable genetic variability within cotton germplasm, despite the existence of great genetic variation in cottonseed oil content (17&#x2013;27%) and protein content (16&#x2013;36%) among cotton species and cultivars (<xref ref-type="bibr" rid="B44">Kohel, 1980</xref>; <xref ref-type="bibr" rid="B105">Wu et al., 2009</xref>; <xref ref-type="bibr" rid="B22">Dowd et al., 2010</xref>; <xref ref-type="bibr" rid="B48">Kothari et al., 2016</xref>). <xref ref-type="bibr" rid="B89">Sharif et al. (2019)</xref> showed that oil content was the highest in <italic>G. lobatum</italic> (24.82%) and <italic>G. harknessii</italic> (24.22%), whereas the Old World wild species had lower oil contents including <italic>G. stocksii</italic> and <italic>G. somalense</italic> with the lowest oil content (11.22%). Among the four cultivated species, <italic>G. barbadense</italic> had the highest oil content, followed by <italic>G. hirsutum</italic>; and the two A-genome diploid species (<italic>G. herbaceum</italic> and <italic>G. arboreum</italic>) showed the lowest level. After comparing 33 <italic>Gossypium</italic> species, <xref ref-type="bibr" rid="B33">Hinze et al. (2015)</xref> confirmed that diploid species except for the A- and K- genome species possessed the lowest oil and protein contents. Tetraploids (21.7%) and the K-genome species (21.4%) had the highest oil content (21.7%). In addition, large ranges in oil contents within the D genome and each cultivated species were observed. <xref ref-type="bibr" rid="B1">Agarwal et al. (2003)</xref> and <xref ref-type="bibr" rid="B42">Khan et al. (2015)</xref> also found significant variability for oil content in the cotton germplasm collections in India and Pakistan, respectively. Therefore, sufficient genetic variability in cottonseed oil exists within the <italic>Gossypium</italic> genus which could be utilized for making genetic gains (<xref ref-type="bibr" rid="B43">Kohel, 1978</xref>; <xref ref-type="bibr" rid="B35">Horn et al., 2011</xref>). However, the genetic improvement in oil accumulation of cottonseed is constrained by the rather limited variation among the elite Upland cotton (<italic>G. hirsutum</italic>) cultivars and lines as the result of extensive selection within the species toward improving lint yield and quality. Significant variation in cottonseed oil and protein contents may exist between cultivars and race stocks within Upland cotton. <xref ref-type="bibr" rid="B33">Hinze et al. (2015)</xref> showed that cultivated tetraploid accessions had higher oil content (22.7%) than wild tetraploid accessions (20.9%). Among four Upland cotton breeding lines and four semi-wild <italic>G. hirsutum</italic> accessions tested in multi-environments, <xref ref-type="bibr" rid="B48">Kothari et al. (2016)</xref> showed that the oil content ranged from 13 to 27% and the protein values ranged from 16 to 36%. The variability for oil content in elite cultivars and lines of <italic>G. hirsutum</italic> ranged from 14.5 to 22.0% with mean of 19.2% (<xref ref-type="bibr" rid="B77">Pandey, 1977</xref>). A classic breeding approach through crosses between selected germplasm led to a moderate increase in oil content (21.20&#x2013;26.30%) as compared to their parents (21.48&#x2013;24.16%) (<xref ref-type="bibr" rid="B19">Dani, 1988</xref>). To overcome the bottleneck of low genetic variation in existing Upland cotton, the cultivated allotetraploid cotton can be crossed with diploid cottons, followed by selection to improve oil accumulation (<xref ref-type="bibr" rid="B98">Thiagarajan and Ramaswamy, 1982</xref>). In addition to oil content, natural variations in fatty acid components such as oleic acid, myristic acid, linoleic acid and linolenic acid in cottonseed oil, have also been reported (<xref ref-type="bibr" rid="B65">Lukonge et al., 2007</xref>). However, fatty acid profiles in large cotton germplasm collections and breeding populations remain to be analyzed.</p>
<p>As for cottonseed protein, based on results from a large cotton germplasm collection (1,335 and 1,234 accessions in the Mississippi and Texas location, respectively), <xref ref-type="bibr" rid="B46">Kohel et al. (1985)</xref> suggested that there was sufficient variability for genetic improvement. <xref ref-type="bibr" rid="B33">Hinze et al. (2015)</xref> detected a wide range of protein content (10&#x2013;36%) and oil content (8&#x2013;27%) in 2,256 accessions representing five tetraploid and 28 diploid <italic>Gossypium</italic> species, and the results showed that wild diploid species generally had extremely low cottonseed protein contents. The Old World A-genome species had the highest protein content (23.8%), followed by the tetraploid species (21.6%). Cultivated tetraploid accessions had a wider range (14.9&#x2013;35.9%) protein content than wild tetraploid accessions (15.4&#x2013;30.7%) although both groups had similar mean protein content. Variation in protein components and relative content of the protein subunits were also investigated among cultivars (<xref ref-type="bibr" rid="B93">Song and Zhang, 2007</xref>).</p>
<p>In general, considerable variation in oil content and proteins content have been identified in cottonseed; however, inconsistency and relatively small magnitude of the variations poses significant challenge for their utilization in cotton breeding programs. Nonetheless, the existence of the variation offers promise for the discovery of greater variation if a greater segment of cotton germplasm is explored, especially the wild <italic>Gossypium</italic> species and those beyond the mainstream germplasm collections such as exotic cotton germplasm.</p>
</sec>
<sec id="S5">
<title>Quantitative Trait Loci Mapping and Genomewide Association Studies of Cottonseed Oil, Fatty Acid, and Protein Contents</title>
<p>Using linkage mapping and genomewide association studies (GWAS), QTLs associated with contents of cottonseed oil, fatty acids, protein, and amino acids have been detected in specifically designed genetic populations <xref ref-type="bibr" rid="B124">Zhang et al., 2022</xref>. <xref ref-type="bibr" rid="B93">Song and Zhang (2007)</xref> were among the first to report a single QTL for kernel oil percentage in an interspecific BC<sub>1</sub>S<sub>1</sub> population derived from an interspecific <italic>G. hirsutum</italic> (Gh) TM-1 &#x00D7; <italic>G. barbadense</italic> (Gb) Hai 7124 cross based on simple sequence repeat (SSR) markers. This was followed by <xref ref-type="bibr" rid="B110">Yu et al. (2012)</xref> who mapped 12 QTLs in relevance to cottonseed oil, protein and gossypol contents using a different interspecific population comprised of backcross inbred lines (BILs). Up to date, a total of more than 160 QTLs for cottonseed oil content and more than 130 QTLs for different fatty acids were identified from at least 14 published studies (<xref ref-type="table" rid="T1">Table 1</xref>). These mapping populations included three Gh &#x00D7; Gb populations and five recombinant inbred lines (RIL) populations for linkage mapping, and six accession panels for GWAS. A meta-analysis was previously performed using the cotton QTL database with only a few reports on cottonseed oil and protein contents (<xref ref-type="bibr" rid="B83">Said et al., 2013</xref>, <xref ref-type="bibr" rid="B84">2015a</xref>,<xref ref-type="bibr" rid="B85">b</xref>).<sup><xref ref-type="fn" rid="footnote3">3</xref></sup> More studies have been published since then, which requires a meta-analysis of QTLs to identify consistent QTLs and QTL hotspots or clusters across environments and genetic populations. It appears that some of the QTLs were in common or on similar chromosomal locations between/among studies. As a result, candidate genes for oil QTLs were identified or validated (<xref ref-type="bibr" rid="B66">Ma et al., 2019</xref>; <xref ref-type="bibr" rid="B58">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="B125">Zhang et al., 2021</xref>). Furthermore, QTLs corresponding to various fatty acids were identified in other studies (<xref ref-type="bibr" rid="B54">Liu G.Z. et al., 2015</xref>; <xref ref-type="bibr" rid="B26">Du et al., 2018b</xref>; <xref ref-type="bibr" rid="B115">Yuan et al., 2018</xref>). However, only a small number of these QTLs were identified in multi-environments or multiple genetic backgrounds. For example, <xref ref-type="bibr" rid="B66">Ma et al. (2019)</xref> identified 19 QTLs for cottonseed oil content in multiple environments based on GWAS in Upland cotton, and a peroxidase (<italic>PRXR1</italic>) gene was confirmed to be the candidate gene within one of the QTL regions <italic>via</italic> virus induced gene silencing (VIGS). More recently, <xref ref-type="bibr" rid="B125">Zhang et al. (2021)</xref> reported that only five of 39 QTLs for cottonseed oil content were stable across different environments in a RIL population of 196 lines, and several genes including one coding for a transcription factor within the stable QTL regions were differently expressed during ovule development. Till now, none of the QTLs reported have been tracked using associated markers in genetic populations for cottonseed oil improvement. Hence, their direct application in marker-assisted selection (MAS) for oil content and quality is still unknown.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Quantitative trait loci (QTLs) mapped for cottonseed oil content and fatty acids.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Authors</td>
<td valign="top" align="center">Year</td>
<td valign="top" align="center">Mapping population</td>
<td valign="top" align="center">Traits</td>
<td valign="top" align="center">Markers</td>
<td valign="top" align="center">No. QTL</td>
<td valign="top" align="center">QTL details</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B57">Liu H.Y. et al. (2017)</xref></td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">188 Gh &#x00D7; Gh RILs</td>
<td valign="top" align="center">Amino acids</td>
<td valign="top" align="center">SSRs, SRAPs, RAPDs</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">On c3, c5, c6, c9, c16, c18, c21, c22, c25, c23, LG3, LG4, LG5, LG6, LG8, LG10, LG11</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B56">Liu et al. (2012)</xref></td>
<td valign="top" align="center">2012</td>
<td valign="top" align="center">376 lines Gh &#x00D7; Gh F<sub>2</sub></td>
<td valign="top" align="center">Protein contents</td>
<td/>
<td valign="top" align="center">12</td>
<td valign="top" align="center">On c22, c25, c5, LG3, LG5, LG6</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B55">Liu et al. (2013)</xref></td>
<td valign="top" align="center">2013</td>
<td valign="top" align="center">188 Gh &#x00D7; Gh RILs</td>
<td valign="top" align="center">Amino acids</td>
<td valign="top" align="center">SSRs, SRAPs, RAPDs</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">A5, A6, A8, D15, D18, D22, D23, LG5, LG6, LG7, LG11, LG12</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B93">Song and Zhang (2007)</xref></td>
<td valign="top" align="center">2007</td>
<td valign="top" align="center">140 Gh &#x00D7; Gb BC1S1</td>
<td valign="top" align="center">Amino acids, oil, protein</td>
<td valign="top" align="center">SSRs</td>
<td valign="top" align="center">8,1</td>
<td valign="top" align="center">On D8</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B110">Yu et al. (2012)</xref></td>
<td valign="top" align="center">2012</td>
<td valign="top" align="center">146 Gh &#x00D7; Gb BILs</td>
<td valign="top" align="center">oil, protein</td>
<td valign="top" align="center">392 SSRs</td>
<td valign="top" align="center">17,22</td>
<td valign="top" align="center">On c12</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B3">Alfred et al. (2012)</xref></td>
<td valign="top" align="center">2012</td>
<td valign="top" align="center">376 IF2 from 188 RILs, Gh</td>
<td valign="top" align="center">oil</td>
<td valign="top" align="center">388 SSRs</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">c18 (2), c22 (1) and LG 11 (1)</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B54">Liu G.Z. et al. (2015)</xref></td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">180 Accessions, Gh</td>
<td valign="top" align="center">Oil, protein</td>
<td valign="top" align="center">228 SSRs</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">15 SSRs on A3, A7, A9, A10, A12, A13, D2, D5, D6, and D9</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B52">Liu D.X. et al. (2015)</xref></td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">270 RILs, Gh</td>
<td valign="top" align="center">Oil, protein, fatty acids</td>
<td valign="top" align="center">1,675 SSRs</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">15 crude oil, 8 linoleic, 10 oleic, 13 palmitic and 12 stearic acid QTL</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B5">Badigannavar and Myers (2015)</xref></td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">75 Elite lines, Gh</td>
<td valign="top" align="center">Oil, protein</td>
<td valign="top" align="center">234 AFLP</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">Chromosomes undetermined</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B87">Shang et al. (2016)</xref></td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">2 RIL pop and 2 BC pop, Gh</td>
<td valign="top" align="center">Fatty acids</td>
<td valign="top" align="center">1,053 SSRs</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">On 13 chromosomes</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B119">Zeng et al. (2016)</xref></td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">277 Accessions, Gh</td>
<td valign="top" align="center">Oil, protein</td>
<td valign="top" align="center">24 SNPs</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">One main-effect QTN, one epistatic QTN</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B26">Du et al. (2018b)</xref></td>
<td valign="top" align="center">2018b</td>
<td valign="top" align="center">316 accessions, Gh</td>
<td valign="top" align="center">Oil, fatty acids, protein</td>
<td valign="top" align="center">390,000 SNPs</td>
<td/>
<td valign="top" align="center">16 Protein, 21 oil and 87 fatty acids (palmitic, linoleic, oleic, myristic and stearic)</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B115">Yuan et al. (2018)</xref></td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">196 Accessions, Gh</td>
<td valign="top" align="center">Oil, protein, fatty acids</td>
<td valign="top" align="center">41,815 SNPs</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">6 Protein, 2 myristic, 4 oleic, 8 stearic, 4 palmitic, 4 linoleic and 8 oil content QTL</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B104">Wang et al. (2019)</xref></td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">180 RILs, Gh</td>
<td valign="top" align="center">Oil, protein</td>
<td valign="top" align="center">7,033 SLAF-SNPs</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">On c1, c3, c5, c12 (2), c15, c16, c19 (3), c20, c21 (3), c24, and c25</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B126">Zhao et al. (2019)</xref></td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">503 Accessions, Gh</td>
<td valign="top" align="center">Oil</td>
<td valign="top" align="center">179 SSRs/11,975 SNPs</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">On c1, c10, c12, c13, c15, c17, c24</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B66">Ma et al. (2019)</xref></td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">90 + accessions, Gh</td>
<td valign="top" align="center">Oil</td>
<td valign="top" align="center">15,369 SNPs</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">On 13 chromosomes including 1 on D05 with a candidate gene</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B58">Liu et al. (2020)</xref></td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">376 IF2 from 188 RILs, Gh</td>
<td valign="top" align="center">Oil</td>
<td valign="top" align="center">388 SSRs</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">Including a QTL on A02 with 2 candidate genes</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B131">Zhu et al. (2020)</xref></td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">325 CSSLs, Gh &#x00D7; Gb</td>
<td valign="top" align="center">Oil</td>
<td valign="top" align="center">11,653,661 SNPs</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">On A01 (4), A03, A05, A07, A11, A12 (2), A01 (2), A03 (2), and A10</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B124">Zhang et al. (2022)</xref></td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">188 Gh &#x00D7; Gh RILs</td>
<td valign="top" align="center">Oil, fatty acids</td>
<td valign="top" align="center">388 SSRs</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">On c3(1), c18(4), lg3(2), lg7, lg8, c15(1), lg6(3), c16(1), c15(1)</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B125">Zhang et al. (2021)</xref></td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">196 Gh &#x00D7; Gh RILs</td>
<td valign="top" align="center">Oil</td>
<td valign="top" align="center">8, 295</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">c1(1), c3(1), c4(5), c5(2), c6(1), c7(2), c9(1), c10(3), c11(1), c12(2), c13(3), c14(4), c15(3), c17(1), c19(1), c20(1), c22(1), c24(8)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Chromosomes or genes introduced to <italic>G. hirsutum</italic> from <italic>G. barbadense</italic> and other tetraploid <italic>Gossypium</italic> species were found to affect cottonseed oil content substantially, based on CSLs (<xref ref-type="bibr" rid="B105">Wu et al., 2009</xref>, <xref ref-type="bibr" rid="B106">2010</xref>; <xref ref-type="bibr" rid="B6">Bellaloui et al., 2020</xref>; <xref ref-type="bibr" rid="B82">Saha et al., 2020</xref>). Multiple QTL alleles from <italic>G. barbadense</italic> were demonstrated as highly promising for enhancing seed oil content in introgressed <italic>G. hirsutum</italic> lines (<xref ref-type="bibr" rid="B131">Zhu et al., 2020</xref>). Therefore, introgression breeding between <italic>G. hirsutum</italic> and <italic>G. barbadense</italic> may greatly improve the content of seed oil content and possibly fatty acid composition. These QTLs detected for seed quality traits in cotton are expected to be useful in cotton breeding to develop cotton with improved cottonseed nutrient quality. However, to date, all the genetic populations developed were small in size (100&#x2013;200 progeny), which limited genetic recombination between parents. The extent to which cottonseed oil content can be increased and oil quality can be enhanced as the result of alteration in fatty acid composition through extensive introgression breeding remains unknown. The goal of research and breeding effects is to transfer the identified desirable QTLs into elite cotton cultivars for the improvements of both oil accumulation and oil quality without trade-offs in fiber yield or quality.</p>
</sec>
<sec id="S6">
<title>Gene Expression Studies During Cottonseed Oil and Protein Accumulation</title>
<p>Lipids and fatty acids are a large class of compounds existing in plants, and most edible vegetable oil consists of a few common fatty acids, including saturated, monounsaturated, and polyunsaturated fatty acids. Fatty acids are stored in seeds in the form of triacylglycerol (TAG). Therefore, the TAG biosynthetic pathway involving many enzymes has become one of the hallmarks of lipid biochemistry. Cottonseed oil contains 71% unsaturated fatty acids and 28% saturated fatty acids. Unsaturated fatty acids include 58% linoleic acid (18:2) and 13% oleic acid (18:1), and saturated fatty acids include 26% palmitic acid (16:0) and 2% stearic acid (18:0) (<xref ref-type="bibr" rid="B15">Cherry, 1983</xref>). In addition, there are many other minor fatty acids including dihydrosterculic acid (DHSA) (<xref ref-type="bibr" rid="B22">Dowd et al., 2010</xref>; <xref ref-type="bibr" rid="B21">Dowd, 2012</xref>).</p>
<p>Since the lipid and protein biosynthetic pathways compete for the same substrate using phosphoenolpyruvate through acetyl-CoA carboxylase (ACCase) and phosphoenolpyruvate carboxylase (PEPC), respectively, it is not surprising that cottonseed oil and protein contents are negatively correlated as reported previously (<xref ref-type="bibr" rid="B32">Hanny et al., 1978</xref>; <xref ref-type="bibr" rid="B45">Kohel and Cherry, 1983</xref>; <xref ref-type="bibr" rid="B105">Wu et al., 2009</xref>; <xref ref-type="bibr" rid="B110">Yu et al., 2012</xref>; <xref ref-type="bibr" rid="B33">Hinze et al., 2015</xref>; <xref ref-type="bibr" rid="B9">Campbell et al., 2016</xref>). <xref ref-type="bibr" rid="B17">Cui et al. (2017)</xref> showed that overexpression of <italic>GhACCase</italic> subunits resulted in increased cottonseed oil content by 17&#x2013;22%. A large number of oil-related genes, such as <italic>fatty acyl-ACP thioesterase B</italic> (<italic>FATB</italic>), <italic>acyl carrier protein 5</italic> (<italic>ACP5</italic>) (<xref ref-type="bibr" rid="B115">Yuan et al., 2018</xref>) and <italic>KASIII</italic> (<xref ref-type="bibr" rid="B25">Du et al., 2018a</xref>), have been identified by various approaches including GWAS (e.g., <xref ref-type="bibr" rid="B25">Du et al., 2018a</xref>,<xref ref-type="bibr" rid="B26">b</xref>), gene expression studies (e.g., <xref ref-type="bibr" rid="B67">Ma et al., 2021</xref>; <xref ref-type="bibr" rid="B130">Zhu et al., 2021</xref>), cloning and sequence-based <italic>in silico</italic> analysis (<xref ref-type="bibr" rid="B123">Zhang et al., 2009</xref>; <xref ref-type="bibr" rid="B112">Yu et al., 2011</xref>; <xref ref-type="bibr" rid="B116">Yurchenko et al., 2014</xref>; <xref ref-type="bibr" rid="B87">Shang et al., 2016</xref>; <xref ref-type="bibr" rid="B18">Cui et al., 2020</xref>). Among <italic>GhSAD</italic> genes coding for stearoyl-acyl carrier protein desaturase, <italic>GhSAD4</italic> was found to stand out as the most relevant to determine the relative ratio of oleic acid and linoleic acid (<xref ref-type="bibr" rid="B88">Shang et al., 2017</xref>). Of 17 <italic>SAD</italic> gene family members identified in Upland cotton, <italic>GhA-SAD6</italic> and <italic>GhD-SAD8</italic> have strong substrate specificity for 16:0-ACP, and <italic>GhA-SAD5</italic> and <italic>GhA-SAD7</italic> exhibited a high specific activity on 18:0-ACP (<xref ref-type="bibr" rid="B51">Liu et al., 2019</xref>). Tetraploid cotton genomes contain 13 <italic>LPAAT</italic> genes, including five on Dt subgenome and eight on the At subgenome (<xref ref-type="bibr" rid="B101">Wang et al., 2017</xref>). Based on a further sequence variation and gene expression analysis, genetic modification to overexpress single genes like <italic>At-Gh13LPAAT5</italic> was found to be effective in improving the production of total TAG and oil content (<xref ref-type="bibr" rid="B101">Wang et al., 2017</xref>). In addition to these genes that have been well known for their role in fatty acid biosynthesis, other genes that encode less studied proteins, such as a calcium-dependent lipid-binding (<italic>CaLB</italic>) protein (<xref ref-type="bibr" rid="B126">Zhao et al., 2019</xref>) and a peroxidase (<italic>PRXR1</italic>) (<xref ref-type="bibr" rid="B66">Ma et al., 2019</xref>) were also implicated for their roles in determining cottonseed oil content based on GWAS followed by confirmation using VIGS.</p>
</sec>
<sec id="S7">
<title>Genetic Engineering of Cotton for Improving Cottonseed Oil, Fatty Acid, and Protein Contents</title>
<p>While the focus of cotton breeding on improving fiber quality will not change, there is an increased interest in enhancing the value of cottonseed by enhancing seed oil production and improving the nutritional and functional properties of the cottonseed oil (<xref ref-type="bibr" rid="B62">Liu et al., 2009</xref>). In the earliest attempts to genetically improve cottonseed oil, modest changes in oil content and fatty acid composition were achieved in Acala cotton through traditional breeding (<xref ref-type="bibr" rid="B16">Cherry et al., 1981</xref>; <xref ref-type="bibr" rid="B15">Cherry, 1983</xref>), reflecting the meager genetic variation available in natural germplasm and elite breeding lines. However, the improvements in molecular mechanisms underpinning the genetic variation and biochemical pathways, as well as the advent of genetic engineering approaches provide an alternative to rapidly alter carbon metabolism and manipulate lipid composition in cottonseed. Genetic modification of cottonseed oil has also been made more efficient through a series of methodological advancements in transgene expression systems, plant regeneration from tissue culture and gene transformation <italic>via Agrobacterium tumefaciens</italic> or particle bombardment (<xref ref-type="bibr" rid="B121">Zhang, 2015</xref>).</p>
<p>RNA interference (RNAi) attenuations in the expressions of genes coding for fatty acid desaturase (<italic>FAD2</italic>) on chromosome D12, stearoyl-ACP desaturase 1 (<italic>SAD1</italic>) on D9 and &#x03B2;-ketoacyl-acyl carrier protein synthase (<italic>KASII</italic>) in cotton resulted in substantially altered fatty acid composition, with particularly enhanced levels in oleic acid (from 13 to 78%), stearic acid (from 2 to 40%) and palmitic acid (from 26 to 15%), respectively, in cottonseed (<xref ref-type="bibr" rid="B61">Liu Q. et al., 2002</xref>, <xref ref-type="bibr" rid="B63">2017</xref>). In addition, RNAi-directed down-regulation of <italic>PEPC2</italic> up-regulated most lipid synthesis-related genes, resulting in 7.3% increase in cottonseed oil content (<xref ref-type="bibr" rid="B127">Zhao et al., 2018a</xref>). <xref ref-type="bibr" rid="B90">Shockey et al. (2017)</xref> and <xref ref-type="bibr" rid="B95">Sturtevant et al. (2017)</xref> identified a natural mutant allele of <italic>FAD2-1D</italic> in <italic>G. barbadense</italic> with high oleic acid in cottonseed oil, and its incorporation into <italic>G. hirsutum</italic> doubled oleic acid content (<xref ref-type="bibr" rid="B23">Dowd et al., 2020</xref>). Most recently, <xref ref-type="bibr" rid="B13">Chen et al. (2021)</xref> confirmed that knockout mutants of the <italic>GhFAD2</italic> genes in Upland cotton by CRISPR/Cas9 editing increased the oleic acid level to 77.7% with a concomitant decrease in linoleic acid (from 58.6 to 6.9%) and palmitic acid (from 23.95 to 13.18%). Transforming Upland cotton with an <italic>FAD3</italic> gene from <italic>Brassica napus</italic> and a D6D gene from <italic>Echium plantagineum</italic> resulted in approximately 30% &#x03B1;-linolenic acid (ALA) and 20% &#x03B3;-linolenic acid (GLA), respectively, with no change in total oil content (<xref ref-type="bibr" rid="B30">Gao et al., 2020</xref>). <xref ref-type="table" rid="T2">Table 2</xref> presents a summary of the genes that have been genetically engineered to improve cottonseed oil content and fatty acid composition.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Genes used in genetically engineering cotton for improvement of cottonseed oil.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Gene</td>
<td valign="top" align="center">Transgenic event</td>
<td valign="top" align="center">Major results</td>
<td valign="top" align="center">Authors</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>GhPEPC1</italic></td>
<td valign="top" align="center">RNAi,Gh</td>
<td valign="top" align="center">Up to 16.7% increase in oil content</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B108">Xu et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>GhPEPEC2</italic></td>
<td valign="top" align="center">RNAi, Gh</td>
<td valign="top" align="center">Seed oil increased by 7.3%</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B127">Zhao et al., 2018a</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Ghfad2</italic></td>
<td valign="top" align="center">Suppression,Gh</td>
<td valign="top" align="center">Oleic acid increased from 15 to 21&#x2013;30%</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B11">Chapman et al., 2001</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>BnFAD2</italic></td>
<td valign="top" align="center">Non-functional,Gh</td>
<td valign="top" align="center">Oil content reduced from 20 to 12%</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B12">Chapman et al., 2008</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>ghFAD2-1</italic></td>
<td valign="top" align="center">RNAi,Gh</td>
<td valign="top" align="center">Oleic acid increased from 13 to 78%</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B61">Liu Q. et al., 2002</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>BnFAD3</italic></td>
<td valign="top" align="center">Insertion,Gh</td>
<td valign="top" align="center">30% Alpha-linolenic acid(ALA)</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B30">Gao et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>ghSAD-1</italic></td>
<td valign="top" align="center">RNAi, Gh</td>
<td valign="top" align="center">Stearic acid increased from 2 to 40%</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B61">Liu Q. et al., 2002</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>GhACCase</italic></td>
<td valign="top" align="center">Overexpression, Gh</td>
<td valign="top" align="center">17&#x2013;21% increase in cottonseed oil content</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B17">Cui et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>GhFATB GhFAD2-1</italic></td>
<td valign="top" align="center">RNAi, Gh</td>
<td valign="top" align="center">Increase oleic acid content by 156.96%, decreased palmitic acid content by 21.28%, decreased linoleic acid by 33.92%</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B53">Liu F. et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>GhKASII</italic></td>
<td valign="top" align="center">RNAi, Gh</td>
<td valign="top" align="center">Palmatic acid increased from 25 to 51%</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B63">Liu Q. et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>GhPRXR1</italic></td>
<td valign="top" align="center">VIGS,Gh</td>
<td valign="top" align="center">Cottonseed oil content decreased by18%</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B66">Ma et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Gh13LPAAT5</italic></td>
<td valign="top" align="center">Transformed yeast</td>
<td valign="top" align="center">25&#x2013;31% Increase in palmitic and oleic acid</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B101">Wang et al., 2017</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">16&#x2013;29% Increase in tricacylglycerol(ATG)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>GhWRII-7</italic></td>
<td valign="top" align="center">Mutant Arabidopsis</td>
<td valign="top" align="center">Lipid content reduced by 3times</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B117">Zang et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>GhWRI1</italic></td>
<td valign="top" align="center">Arabidopsis</td>
<td valign="top" align="center">Increased from 19.85 to 25.25% in cottonseed oil content</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B128">Zhao et al., 2018b</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>GhCIPK6</italic></td>
<td valign="top" align="center">Insertion, Gh</td>
<td valign="top" align="center">Oil content reduced to 25.4&#x2013;32.7% from 33.6%</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B18">Cui et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>GhDGAT1</italic></td>
<td valign="top" align="center">Overexpression, Gh</td>
<td valign="top" align="center">4.7&#x2013;13.9% Increase in cottonseed oil content</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B107">Wu et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>GhDOfI</italic></td>
<td valign="top" align="center">Overexpression,Gh</td>
<td valign="top" align="center">Increased oil content</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B96">Su et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>GhA-SAD6,GhD-SAD8</italic></td>
<td valign="top" align="center">Overexpression,Gh</td>
<td valign="top" align="center">Increase of palmitoleic acid by at least 4&#x2013;5 folds.</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B51">Liu et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x0394;<italic>6desaturase</italic></td>
<td valign="top" align="center">Insertion, Gh</td>
<td valign="top" align="center">y-linolenic acid</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B30">Gao et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>GhFAD2-1A/D</italic></td>
<td valign="top" align="center">CRISPR/Cas9,Gh</td>
<td valign="top" align="center">Up to 77.72% increase in oleic acid and decreased concomitantly from 58.62 to 6.85% in linoleic acid</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B13">Chen et al., 2021</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Cottonseed oil is featured with a small amount of rare cyclic fatty acids, including DHSA and its downstream products sterculic acid and malvalic acid, all of which have been found to suppress mammalian Stearoyl-CoA desaturase activity and improve liver metabolomic profiles in high fat fed mice (<xref ref-type="bibr" rid="B78">Paton et al., 2017</xref>). The key genes encoding for cyclopropane fatty acid synthases converting oleic acid to DHSA have been identified in <italic>Arabidopsis</italic> (<xref ref-type="bibr" rid="B4">Bao et al., 2002</xref>) and cotton (<xref ref-type="bibr" rid="B112">Yu et al., 2011</xref>). Although the proof of concept has been made in producing DHSA in transgenic model plants (<xref ref-type="bibr" rid="B111">Yu et al., 2018</xref>; <xref ref-type="bibr" rid="B75">Okada et al., 2020</xref>), associated genes have yet to be modified in the cotton genome to raise DHSA production in cottonseeds.</p>
<p>It should be recognized that a radical modification of fatty acid composition may have deleterious effects on membrane integrity and impede seed germination under conventional farming practice, even though the modification was transcriptionally controlled by seed-specific promoters. For example, in the case that a leaky &#x201C;seed-specific&#x201D; promoter was used, severe compromises in plant growth and development, especially under environmental stresses, and penalty in yield may occur as a result (<xref ref-type="bibr" rid="B50">Lindgren et al., 2003</xref>). Further, the commercial planting of genetically modified crops generated by transgenic approaches especially those by agrobacterium mediated transformation assisted by selectable markers such as kanamycin resistance, has met substantial public skepticism and resistance in addition to lengthy and heavy regulatory burdens (<xref ref-type="bibr" rid="B90">Shockey et al., 2017</xref>). However, the recent availability of versatile genome editing techniques, such as transcription activator-like effector nucleases (TALEN) and clustered regulatory interspaced short palindromic repeats (CRISPR)/Cas9 systems has allowed scientists to precisely edit the expression of target genes without T-DNA insertion. Most importantly, the use of genome editing techniques may circumvent the lengthy regulatory processes and renders its products for rapid commercialization (<xref ref-type="bibr" rid="B102">Wang et al., 2020</xref>; <xref ref-type="bibr" rid="B120">Zhang et al., 2020</xref>).</p>
<p>Although cottonseed storage proteins are generally deficient in essential amino acids, especially lysine, which can be inadequate from a nutrition point of view, synthetic forms of lysine and other essential amino acids can be added to the diet to correct the deficiency. Cottonseed protein also tends to be deficient in isoleucine and the sulfur-rich amino acids such as methionine and cysteine (<xref ref-type="bibr" rid="B10">Capdevila and Dure, 1977</xref>). The sulfur-rich proteins, such as albumin, constitute a low fraction of the total cottonseed proteins (<xref ref-type="bibr" rid="B29">Galau et al., 1992</xref>; <xref ref-type="bibr" rid="B37">Hu et al., 2011</xref>). Genetic improvement of cottonseed storage protein and amino acid profiles is clearly long overdue, which could be developed in concert with the development of gossypol-free trait to meet the nutritional requirement for use as a source of high quality plant protein for non-ruminant animals or humans. The broad application of cottonseeds for human consumption and as animal feed is considerably constrained by the presence of gossypol which is sequestered in the pigment glands of cottonseed and other plant tissues. Gossypol is in a class of polyphenol compounds (terpenoids) that can be toxic and nutritionally undesirable, if safe levels in the diet are exceeded. Natural glandless (devoid of gossypol) cotton mutants exist in cotton and have been extensively studied and used in breeding (<xref ref-type="bibr" rid="B122">Zhang and Wedegaertner, 2021</xref>). Genetic modified glandless cottonseed has also been developed by RNAi down-regulation of cadinene synthase (<xref ref-type="bibr" rid="B97">Sunilkumar et al., 2006</xref>), which is currently being incorporated into elite Upland cotton cultivars to enable broad applications of cotton proteins for human consumption and monogastric animals. Commercialization of this technology has been slow due to international regulatory hurdles for genetically modified crops. Most recent reviews on genetics, breeding and genetic engineering to develop glandless cotton can be found in <xref ref-type="bibr" rid="B81">Rathore et al. (2020)</xref> and <xref ref-type="bibr" rid="B122">Zhang and Wedegaertner (2021)</xref>.</p>
<p>Natural genetic variation in vitamin E also exists within cotton (<xref ref-type="bibr" rid="B92">Smith and Creelman, 2001</xref>). For example, several long-staple Acala 1517 cultivars were higher in &#x03B1;-tocopherol than medium-staple Upland cultivars. However, the genetic and genomic basis of the variation is currently not understood. <xref ref-type="bibr" rid="B79">Radcliffe and Czajka-Narins (2006)</xref> showed that cottonseed oil had a lowering effect on total cholesterol content for both male and female rats, but on high-density lipoprotein cholesterol for male rats only, and the replacement of corn oil with cottonseed oil resulted in changes in tocopherol status. A follow-up study in human by <xref ref-type="bibr" rid="B80">Radcliffe et al. (2009)</xref> further showed that cottonseed oil used in muffins and potato chips even increased vitamin E intake. Recently, <xref ref-type="bibr" rid="B86">Salimath et al. (2021)</xref> reported that genetic modification by converting tocopherols into more potent form of tocotrienols <italic>via</italic> introducing homogentisate geranylgeranyl transgenic coding sequence under the control of the <italic>Brassica napus</italic> seed-specific promoter from barley through genetic engineering. Transgenic cottonseeds had a 2&#x2013;3-fold increase in the accumulation of total vitamin E (tocopherols + tocotrienols), with more than 60% &#x03B3;-tocotrienol.</p>
</sec>
<sec id="S8">
<title>Prospective</title>
<p>As a byproduct in cotton production, cottonseed has excellent potential for use as a source of sustainable, high quality vegetable oil, biofuel and proteins because of its abundance that is expected to grow as the demand for cotton fiber continues to increase. Genetic improvements in nutritional value and functional properties of cottonseeds are being leveraged by the rapid advancements in biotechnology and genomics-based molecular breeding. In this review, we have summarized the most recent advances in genetic improvement of cottonseeds in relevance to the content of oil or protein, fatty acid composition that have been demonstrated to be amendable. Genetic improvements of cottonseed traits have proven to be particularly challenging as cottonseed is relatively low value product compared to cotton fiber that commends more than 85% of the farm-gate value of cotton production. This necessitates the employment of high precision genome editing technology and molecular breeding strategies to enable achieving genetic improvements in seed traits without trade-offs in fiber production and quality, as well as regulatory hurdles. Although cotton is among the earliest crops being grown commercially, the path leading to a successful commercialization and public acceptance of genetic modified cottonseed oils or whole seeds as a novel source of food grade proteins with improved nutritional value may not be an easier task in comparison to other genetic modified non-food crops. Nevertheless, more and more proof of concept studies have been conducted in model plants and recently in cotton that renders cotton industry standing on a new threshold of research and development, equipped with ever increasing knowledge in the intricate relationships and carbon reallocation between seed and fiber, and new sets of tools with high precision for modifying the cotton genome. It could be envisioned that the development of nutritionally improved and functionally versatile cottonseed, perhaps led by the development of high oleic cottonseed oil that could emulate the success of high oleic soybean oils, such as Plenish, Vistive Gold, and Calyxt, will come to fore, along with the continuous and synchronized development in cotton fiber.</p>
</sec>
<sec id="S9">
<title>Author Contributions</title>
<p>MW finalized the summary of all the publications used in this review and wrote the manuscript. JY directed the study and contributed to the writing of the manuscript. JZ provided <xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T2">2</xref> and an early incomplete draft of the manuscript, and finalized the manuscript. TW edited the manuscript. WP contributed to the writing of the manuscript. All authors read and approved the final manuscript.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>TW was employed by Cotton Incorporated. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="S10" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported in part by grants from the National Natural Science Foundation of China (grant nos. 31621005, 31301368, and 31301367), the Natural Science Foundation of Xinjiang Uygur Autonomous Region of China (grant nos. 2021D01B113 and 2020D01A135), the Scientific Research Project of Henan Province, and Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences. The authors also acknowledged the support from Cotton Incorporated and New Mexico Agricultural Experiment Station, United States.</p>
</sec>
<ref-list>
<title>References</title>
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