Advanced pharmaceutical bulletin. 15(2):293-313.
doi: 10.34172/apb.025.43630
Review Article
Food as Medicine: Curbing Type-2 Diabetes Prevalence Through Consumption of High Amylose Starchy Foods in Sub-Saharan Africa
Muyiwa S. Adegbaju Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, 1, 2 
Ifeoluwa E. Adegbaju Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing, 3
Memunat A. Issah Data curation, Investigation, Methodology, Writing – review & editing, 4
Fatimatou Saccoh Data curation, Investigation, Methodology, Writing – review & editing, 5
Ademola A. Falade Data curation, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing, 3
James R. lloyd Data curation, Project administration, Resources, Supervision, Validation, Writing – review & editing, 1, #
Olanrewaju B. Morenikeji Conceptualization, Data curation, Formal analysis, Funding acquisition, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing, 5, , # * 
Author information:
1Institute of Plant Biotechnology, Stellenbosch University, Stellenbosch, South Africa
2Department of Biomedical Sciences, Rochester Institute of Technology 153 Lomb Memorial Drive Rochester NY 14623, Rochester, USA
3Department of Nutrition and Dietetics, Federal University of Technology Akure, Akure, Nigeria
4Department of Biochemistry, Faculty of Chemical and Life Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
5Division of Biological and Health Sciences, University of Pittsburgh at Bradford, Bradford, PA, United States
*
Corresponding Author: Olanrewaju B. Morenikeji, Email:
obm3@pitt.edu
#Co-senior authors.
Abstract
The prevalence of nutrition-related non-communicable diseases like diabetes mellitus (DM) is exponentially increasing across the world. Particularly, type-2 diabetes mellitus (T2DM) is prevalent in sub-Saharan Africa (SSA) than in any other region of the world, with a significant effect on mortality and morbidity. T2DM is a disease known to be associated with elevated glucose levels in the blood, caused by numerous factors including dietary and lifestyle changes. Ensuring an adequate supply of a healthy diet through a transformed food system could be a potential strategy to mitigate T2DM in SSA. In plants, starch is the most common storage carbohydrate, and it is the major glucose-releasing carbohydrate in human diets. The rate of starch digestibility varies and is largely due to the proportion of its two polyglucan components, amylose and amylopectin. Although, no medication has been found to effectively treat T2DM, it could be managed through effective postprandial glycemia control. This article reviews the mechanism for slowing down the rate of starch digestion and absorption in the small intestine through direct alteration of amylose and amylopectin in starch crops. This strategy would ensure the supply of healthy diets for consumption and ultimately help to curb the increasing prevalence of T2DM.
Keywords: Food system, Type-2 diabetes mellitus, Starch, Sub-Saharan Africa
Copyright and License Information
© 2025 The Author (s).
This is an Open Access article distributed under the terms of the Creative Commons Attribution (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.
Funding Statement
This study was funded by NRF-TWAS fellowship for Muyiwa Adegbaju.
Introduction
According to the World Health Organization (WHO), diabetes mellitus (DM) is a chronic metabolic disorder characterized by the pancreas’s inability to produce sufficient insulin or the body’s ineffective use of insulin. Insulin regulates the conversion of starch, sugar, and other foods into glucose, and its proper functioning is crucial for maintaining optimal blood glucose levels.1 Diabetes has been on the rise since 2000, and it is now a global public health concern, ranking eighth as the leading cause of death.2 The International Diabetes Federation’s 2021 report reveals alarming statistics: approximately 24 million Africans aged 20-79 live with diabetes, and the disease claims nearly half a million lives annually. The top five countries in Africa with the highest diabetes prevalence rates are South Africa, Nigeria, Tanzania, Ethiopia, and the Democratic Republic of Congo. By 2045, projections indicate that Africa will experience the highest rise in diabetes prevalence compared to other regions (Figure 1). This is especially concerning, given that over 70% of diabetes patients in sub-Saharan Africa (SSA) remain undiagnosed.3-5 Furthermore, Africa’s already overburdened healthcare systems are grappling with the rising prevalence of diseases such as HIV/AIDS, tuberculosis, and malaria, hence intensifying the diabetes crisis.2
Figure 1.
Global diabetes prevalence in 2021. The status combines both T1DM and T2DM data and is based on adults between the ages of 20 and 79. It presented projections for DM in 2030 and 2045, followed by a percentage increase from 2021 to 2045. (Source)6
Figure 1.
Global diabetes prevalence in 2021. The status combines both T1DM and T2DM data and is based on adults between the ages of 20 and 79. It presented projections for DM in 2030 and 2045, followed by a percentage increase from 2021 to 2045. (Source)6
According to Afshin et al,7 improving diets could potentially prevent one in every five deaths worldwide, with dietary risks affecting people regardless of sex, age, or socio-demographic development. In Africa, where most countries have low-middle to low socio-demographic index values, this issue is particularly pressing. Insufficient fruit consumption and inadequate whole grain intake contribute significantly to mortality and Disability-adjusted life years in the region. Furthermore, changes in dietary patterns and lifestyle, particularly high carbohydrate consumption, drive the rising incidence of diabetes in Africa.8,9 Adopting healthy, low-calorie diets is crucial to curb the prevalence of DM and other diet-related diseases. However, addressing malnutrition in SSA is complicated by several challenges. These include poor diets, limited food variety, low agricultural output and income, insufficient food availability, and climate change impacts.10,11,12 These interconnected factors underscore the need for comprehensive solutions that address not only individual dietary choices but also the broader food system and socioeconomic context.
In 2003, African states approved the Comprehensive Africa Agriculture Development Programme (CAADP) to attain food and nutrition security and eliminate poverty. The CAADP-Malabo declaration, implemented in 2014, further reinforced this, aiming to ensure the availability of healthy foods in African countries.13 This requires the transformation and sustainability of Africa’s food systems, a complex network that encompasses food production, transport, processing, and consumption. A sustainable food system will guarantee the provision of a healthy diet to meet current food needs while preserving ecosystems that can ensure a sufficient food supply for future generations with minimal harm to the environment. However, establishing a sustainable food system in Africa will require science, technology, and innovation to accurately estimate the nutritional values of common foods and improve food quality. As a result, this review aims to uncover the link between the prevalence of DM in SSA and changes in its inhabitants’ dietary patterns. We examined and suggested an innovative crop biotechnology approach to improve a major component of common food crops to curb the prevalence of T2DM in the region.
Evidence and impact of rapid urbanization in sub-Saharan Africa
SSA is undergoing rapid urbanization, with its global share of urban inhabitants projected to increase from 11.3% in 2010 to 20% in 2050.14-16 Governmental policies, infrastructural investments, and technological innovations propel this transition, fostering economic growth but also causing unforeseen effects on dietary practices and health outcomes. The accelerating pace of urbanization and socioeconomic change in SSA has given rise to widespread urban agricultural practices. According to Hemerijckx et al,17 urban agriculture in Kampala, Uganda, contributes twice as much to urban food provision as international imports. This suggest that Urban agriculture and food systems can provide access to more nutritious options.18 However, these systems may also displace conventional ones, encouraging unhealthy fast-food consumption.19-22 Improved transportation networks and food delivery can boost access to options but may lead to sedentary lives.23-26 Additionally, technological innovations can enhance the efficiency of food production and delivery, but they may foster nutritional quality compromise while prioritizing convenience and profit.27,28
Urbanization, while offering potential for economic growth and increased income opportunities,29,30 has yet to deliver on its promise in SSA.31 A substantial slum population in the region is an indication that a lot of urban migrants lack access to better living conditions.32 Clear economic disparity has been created because of this and it affects various income groups distinctly, with significant implications for dietary patterns and health outcomes. A 2008 survey in Cape Town, South Africa, exemplified this, showing that 80% of households in low-income regions faced challenges in obtaining adequate food, while 68% suffered from extreme food insecurity.
Rapid urbanization, urban poverty, and global food inflation, according to Dorosh et al,33 appear to have created a perfect storm, leading to reduced access to health diets and food security and a troubling increase in instances of poor diets. This is markedly worrisome, as studies persistently show that unhealthy food choices and physical inactivity caused by sedentary lifestyles are leading risk factors for noncommunicable diseases, including T2DM.34,35 Additionally, it seems that factors such as the expansion of urban centers into neighboring rural communities, the ease of communication between urban and rural areas, the ties between urban and rural dwellers, and numerous other factors blur the rural-urban divide on dietary changes. As a result, the prevalence of diabetes in Africa has dramatically increased in both males and females equally, regardless of their geographic location.36 Thus, deciphering the complex interplay between urbanization, economic growth, and dietary changes is crucial for addressing food security and nutrition challenges in the region.
Dietary shifts in Sub-Saharan Africa: Evidence of increasing starch-based diet
In Africa, urbanization’s impact on food choices deviates from global trends.30 Contrary to expectations that rising wealth would increase animal-based product consumption, Africa’s urbanization has fueled significant growth in per capita rice consumption.37,38 This shift aligns with prevailing plant-based diets in African homes, characterized by starchy staples and limited animal proteins, fruits, and vegetables.39 This reliance on staple foods has profound implications for dietary patterns. In Nigeria, staple foods exceed the recommended 34.0% daily calorie intake, accounting for 52.5% and 66.8% of calories in urban households with highest and lowest incomes, respectively. Similarly, rural households rely heavily on staples, with 60% and 76% of daily calories for wealthiest and poorest homes.40 In another study, Chiaka et al41 found that Nigerian households across geographical zones derive over 70% of daily calories from cereals and starchy roots. This persistent dominance of carbohydrate-rich diets challenges the notion of urbanization-driven nutritional transition towards diverse, high-protein foods.42,43 Consequently, this dietary pattern contributes to rising non-communicable nutrition-related disorders in SSA,9,44 underscoring the need for tailored nutritional interventions.
Diagnosis, economic impact, management of diabetes mellitus
There are two distinct forms of DM: Type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM), which have long been recognized by the medical community and facilitating targeted research, diagnosis, and management strategies.45 T1DM is a complex condition triggered by a combination of genetic and environmental factors, leading to an autoimmune response that ultimately results in a complete deficiency of insulin production. This condition typically emerges during childhood or adolescence. On the other hand, the T2DM condition is characterized by elevated blood sugar levels, insufficient insulin production, and insulin resistance.46 These factors impede the body’s capacity to efficiently use the insulin it produces, thereby impairing glucose regulation.47 The subtle onset of T2DM can lead to a significant delay in diagnosis, often taking 9-12 years after the disease begins.48 Typically, T2DM is diagnosed later in life, often after the age of 40. However, in Africa, where T2DM accounts for a staggering 90% of all diabetes cases,49 a concerning trend has emerged: a recent surge in T2DM incidence among children and adolescents, deviating from its traditional association with older adults.48
Diagnosing diabetes in Africa is a complex challenge, hindered by the similarity in symptoms between diabetes and HIV/AIDS, as well as socioeconomic and cultural barriers. These factors often lead to misdiagnosis or delayed diagnosis, further complicated by inadequate healthcare infrastructure, resulting in a staggering 70% of diabetes cases in SSA remaining undiagnosed.3-5 For instance, a 2008 report in Nigeria revealed 2.5 million cases of undiagnosed diabetes,50 highlighting the severity of underdiagnosis in the region. Limited access to healthcare facilities, inadequate training of healthcare providers, and insufficient screening efforts contribute to this underdiagnosis, ultimately leading to preventable early deaths due to delayed or lack of treatment. As sub-Saharan African populations rapidly urbanize, diabetes incidence and prevalence are likely to increase, exacerbating the issue. Therefore, addressing these deficiencies and strengthening diabetes detection and management in the region is crucial to combat this growing burden.
The challenges of diagnosing diabetes in Africa are part of a larger global issue, with far-reaching economic implications. A staggering report by Diabetes Research and Clinical Practice in 2019 revealed that diabetes and its complications claimed over four million lives worldwide, with nearly half of these deaths occurring among individuals under 60.51,52 This trend is particularly alarming, as it not only poses a growing threat to younger populations, but also has significant economic implications, given that this age group comprises the backbone of any society’s workforce. Delayed diagnosis exacerbates this issue, leading to serious complications like diabetic nephropathy, retinopathy, and erectile dysfunction, which increase healthcare costs, reduce workforce participation, and result in productivity losses. Timely detection and effective management are crucial to mitigate these economic impacts. While pharmaceutical treatments exist, concerns about their long-term safety persist.53,54 Therefore, adopting a healthy lifestyle, coupled with timely detection and effective management of T2DM, is vital to reducing premature deaths, improving health outcomes, and increasing life expectancy.55 By taking proactive steps, individuals can prevent or delay the onset of complications, ultimately minimizing the economic burden of diabetes.
The intake of easily digestible carbohydrates, especially starch with specific physicochemical characteristics, can have a direct impact on blood glucose levels, posing significant risks for T2DM. Two key factors that contribute to the development of T2DM are insulin resistance and oxidative stress, which are triggered by repeated fluctuations in postprandial glycemia.56 In other words, consuming easily digestible carbohydrates can lead to spikes in blood sugar levels, increasing the likelihood of developing insulin resistance and oxidative stress, both of which are precursors to T2DM.
Extensive research has investigated factors influencing postprandial glycemia, revealing that both the type and quantity of carbohydrates consumed57-59 and interactions between starch and other food components—particularly starch granule characteristics60-62—significantly impact blood sugar control following meals. This knowledge underscores the complexity of carbohydrate digestion and absorption, emphasizing the need to consider multiple factors when evaluating the glycemic impact of foods. Effective diabetes management hinges on regulating postprandial glycemia, which helps minimize complications.63 This often requires lifestyle modifications, including dietary changes.64 Given that starch is the primary carbohydrate in most consumed foods in SSA, it is crucial to refocus research efforts on developing strategies to make dietary starch safer and healthier for consumption, ultimately reducing the risk of diabetes-related complications in this region.
Nutritional importance of starch
Glucose is the body’s essential fuel, powering the functioning of all tissues and organs. Notably, the brain consumes a substantial amount of glucose, utilizing around 25% of the body’s basal metabolic energy.65 Other vital organs and tissues, including the kidneys, reproductive tissues, and red blood cells, also depend on a steady glucose supply to maintain proper function. Moreover, during pregnancy and lactation, glucose demand surges to support the energy-intensive processes of fetal growth and milk production, highlighting its critical role in these life stages.66,67
Dietary carbohydrates primarily meet the body’s fundamental glucose needs by releasing glucose in the form of starch, primarily found in the storage organs of common food crops such as rice, wheat, corn, potato, and cassava (endosperm, roots, and tubers). These starch-rich crops, listed in Table 1, dominate global agricultural land use, with a substantial portion of arable land dedicated to their cultivation.69 As a result, they play a vital role in meeting the world’s glucose requirements. Depending on the plant source, angiosperms store starch in plastids as distinct granules with varying shapes and sizes.70 These granules comprise two primary polymers, amylose, and amylopectin, present in varying proportions (Table 2). The molecular structures of amylose and amylopectin differ significantly. Amylose is a predominantly linear polymer (Figure 2) comprising α-1,4-linked D-glucose monomers, with occasional branching at α-1,6 linkages.71,72 In contrast, amylopectin is a highly branched molecule composed of α-1,4-linked D-glucose units, with approximately 5% of its linkages being α-1,6 branches.73-86 The unique properties of these two polymers significantly affect starch functionality and performance during thermal processing and culinary applications.
Table 1.
Composition of major food crops (in % by fresh weight)
|
Crop
|
Starch (%)
|
Protein (%)
|
Lipid (%)
|
Ash (%)
|
Moisture (%)
|
| Rice |
73.8 |
6.8 |
2.7 |
1.2 |
15.5 |
| Maize |
70.6 |
8.6 |
5.0 |
1.3 |
14.5 |
| Cassava |
26 |
1 |
0.3 |
0.2 |
66 |
| Wheat |
72.2 |
10.6 |
3.1 |
1.6 |
12.5 |
| Sweet Potato |
31.5 |
1.2 |
0.2 |
1.0 |
66.1 |
| Potato |
17.6 |
1.6 |
0.1 |
0.9 |
79.8 |
| Banana |
22.5 |
1.1 |
0.2 |
0.8 |
75.4 |
Note: the data represent a standard table of food composition from Japan in 2010.68
Table 2.
Proportion of amylose and amylopectin in starch granules of various starch sources
|
Starch source
|
Amylose (%)
|
Amylopectin (%)
|
DPna
|
CLnb
|
DPnc
|
| Rice |
8–37 |
63 – 92 |
1015 |
300 |
n.a |
| Maize |
20–36 |
64 – 80 |
895 |
323 |
2 000 000 |
| Cassava |
17 |
83 |
4000 |
340 |
2 000 000 |
| Wheat |
17–29 |
71 – 83 |
1275 |
203 |
2 000 000 |
| Sweet Potato |
19–20 |
80 – 81 |
3280 |
335 |
n.a |
| Potato |
18–23 |
77 – 82 |
5630 |
595 |
2 000 000 |
| Sorghum |
21–35 |
65 – 79 |
n.af |
n.a |
n.a |
| Barley |
11–26 |
74 – 89 |
1450 |
413 |
n.a |
Note: Data represents summary from the following sources.73-86 The amylose content of starches from plants varies not only according to botanic source but also based on cultivars, here the values for amylose content of certain crops were derived from examining 399 (maize), 74 (rice), 493 (potato), 284 (sorghum), 167 (Wheat) and 61 (barley) cultivars. a average degree of polymerisation (glucosyl units) of amylose; b average chain length of amylose (glucosyl units); c average degree of polymerization of amylopectin (glucosyl units); f not available.
Figure 2.
Structural composition of starch granules. Schematic representation of amylopectin and amylose structure. Amylose has molecular weight of ~105-106 kDa and its chains is made up of about 1000 or more glucosyl residues in length. Amylopectin consists of alternating crystalline―composed of glucan chain double helices created from contiguous chains within a cluster―and amorphous lamellae―the branch-point zone linking two clusters―which are repeated at distance of 9 nm down the molecule’s axis. The double-helices crystallize into two types of polymorph patterns A or B and the third type C-polymorphic pattern which is admixture of A and B patterns. Image was re-drawn from Zeeman et al.69
Figure 2.
Structural composition of starch granules. Schematic representation of amylopectin and amylose structure. Amylose has molecular weight of ~105-106 kDa and its chains is made up of about 1000 or more glucosyl residues in length. Amylopectin consists of alternating crystalline―composed of glucan chain double helices created from contiguous chains within a cluster―and amorphous lamellae―the branch-point zone linking two clusters―which are repeated at distance of 9 nm down the molecule’s axis. The double-helices crystallize into two types of polymorph patterns A or B and the third type C-polymorphic pattern which is admixture of A and B patterns. Image was re-drawn from Zeeman et al.69
Starch digestion in the human
The breakdown of starch begins in the mouth, where salivary alpha-amylase initiates the process through its hydrolytic activity.87 However, this enzyme is inactivated in the acidic environment of the stomach. The digestion of starch then continues in the small intestine, where pancreatic alpha-amylase takes over, further hydrolyzing the starch molecules into less smaller products such as alpha-limit-dextrins, maltose and maltotriose. These products are further hydrolyzed into glucose by enzyme complexes sucrase-isomaltase and maltase-glucoamylase located in the brush border membrane (Figure 3).88 The small intestine rapidly absorbs the glucose and use it as energy for various cellular processes.89
Figure 3.
Schematic diagram of starch breakdown in the small intestine
Figure 3.
Schematic diagram of starch breakdown in the small intestine
Starches exhibit varying digestibility rates, categorizing them into three primary fractions: Rapidly digestible starch (RDS), slowly digestible starch (SDS), and resistant starch (RS).90 Consuming RDS-rich foods triggers rapid blood glucose and insulin spikes, increasing the risk of developing T2DM and cardiovascular diseases.91,92 Conversely, SDS undergoes gradual digestion in the small intestine, resulting in a slow and sustained glucose release into the bloodstream.92,93 Meanwhile, RS remains undigested in the small intestine and is fermented in the colon.94,95
Types of resistant starch
Based on indigestible mechanisms and structural features, RS is generally categorized into five types.
-
Resistant starch 1 (RS1) is physically unreachable to digestive enzymes because it is locked in the food matrix, which consists of cell wall materials and proteins within partially milled or whole grains and tubers. For instance, the protein matrix locks away the RS1 in pasta, making it the wheat product with the highest RS content.96
-
RS2 are native starch granules with B- or C-type polymorphic patterns (Figure 2). They are hard to digest because they are packed together tightly, making it hard for digestive enzymes to get to them. Native and uncooked starch granules that can be eaten raw, like potatoes, unripe bananas, and plantains, are in this category; however, the RS content decreases significantly after cooking while the RDS increases concomitantly.97,98 This is another example of RS2-type starches, which are increasingly important as preferred dietary starches because their long-chain double-helical crystallites make them stable even after cooking99 and subsequently cooling, leading to retrogradation.100
-
RS3 retrogrades more rapidly, forming extra-resistant crystallites. Both amylose and amylopectin fractions reassociate during retrogradation to create closely packed double helices, stabilized by hydrogen bonds. The structure formed by retrogradation makes them more resistant to hydrolytic enzymes.84 Amylose and amylopectin, composed of long glucan chains,101-103 are preferable molecules for the formation of RS3. On the other hand, short-chain amylopectin takes up to several days to retrograde.
-
RS4 refers to native starches that undergo chemical modification or re-polymerization. They include starches that have been esterified, etherified, or cross-linked with chemicals.104 These chemical changes slow down the breakdown of starch because they form steric hindrances at the sites where enzymes work.105,106
-
RS5, as described by many reports, is an amylose-lipid complex—a single helical structure formed between amylose and lipids.107-110 However, RS5 also includes resistant maltodextrin that results from sequentially administering pyroconversion and enzymatic hydrolysis to native starch.
Resistant starch and type 2 diabetes management: health benefits and mechanisms
Individuals with T2DM have impaired insulin sensitivity, leading to elevated glucose levels. Consequently, starch intake can potentially worsen glucose control and contribute to disease progression due to its rapid digestion, causing blood glucose spikes measured by its glycemic index (GI). Foods with high GI disrupt postprandial glucose homeostasis, leading to recurrent hyperglycemia, insulin resistance, and increased T2DM risk. In contrast, foods rich in RS have a low GI, lower energy density, and offer numerous health benefits. Notably, high-amylose starchy foods slow down starch digestion and absorption in the small intestine. Amylose’s unique structure forms a compact, resistant helix, limiting digestive enzyme access. Specifically, α-amylase hydrolyzes amylopectin more efficiently than amylose, resulting in a slower glucose release from amylose-rich starches. This slower digestion and absorption lower postprandial glucose spikes, improving insulin function and potentially reducing T2DM incidence.94,95,111,112 International organizations, including the FAO, WHO, and European Association for the Study of Diabetes, recommend categorizing foods by their GI to manage blood glucose levels.113,114 However, GI is only one piece of the puzzle, as other factors significantly influence glycemic response. The type of nutrients present, the rate of gastric emptying, insulin release, and incretin activity―particularly glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP)―all play critical roles.115,116 Notably, the American Diabetes Association (ADA) advises against relying solely on GI for managing T2DM, instead emphasizing the importance of total dietary carbohydrate content and available insulin.117 According to the ADA, these factors have a more profound impact on glycemic response than the type or source of carbohydrates. Research on carbohydrate sources and their impact on glucose, insulin, and incretin responses has yielded promising findings. For instance, a study in healthy men found that consuming high-amylose rice alleviated postprandial hyperglycemia and hyperinsulinemia without affecting gastric emptying rate or GLP-1 secretion.118 Similarly, Maki et al119 demonstrated that high-amylose maize consumption improved insulin sensitivity in overweight and obese males. These studies suggest that high-amylose starchy foods are superior carbohydrates and functional foods for diabetes management.
Given the growing consumption of starchy foods in SSA, it is crucial to prioritize research that enhances and enriches common starchy foods with low-digestible starch, thereby improving their nutritional value. This targeted approach can potentially mitigate the rise of diabetes and related disorders in the region.
Modification of starch functionality through a biotechnological approach
The functionality of starch has been effectively modified through physical, enzymatic, and chemical methods. However, there is a growing consumer demand for healthy and high-quality foods produced using innovative, environmentally friendly, and clean production systems. As a result, there is significant interest in directly modifying starch functionality within crops due to its universality, economic and dietary importance, simple chemical structure, and well-understood biochemical pathways of starch biosynthesis.120 Biotechnology has enabled the manipulation of key enzymes involved in starch biosynthesis, leading to the development of new starches with high amylose content in commonly grown crops. Notably,121 found a link between high amylose content in starch and RS. Therefore, this discussion will begin with an overview of starch biosynthesis in plants, followed by an examination of biotechnological advancements aimed at increasing amylose content.
Starch synthesis in plants
ADP-glucose pyrophosphorylase starts the process of starch biosynthesis in plants by making ADP-glucose. This sugar then acts as a glucosyl donor in the biosynthesis process.122 Several starch synthases (SSs) add a glucose ADP-glucose unit to an acceptor chain at the nonreducing end (Figure 4), which makes the glucan chain longer. Starch branching enzymes (SBEs), an enzyme group, catalyze amylopectin synthesis by cleaving a linear chain and conveying the released fragment to a C6 hydroxyl group of the same or adjacent chain. The activity of SBEs makes more substrates, i.e., non-reducing ends of an acceptor chain, available for the SSs to elongate. Amylopectin’s cluster structure forms with the help of debranching enzymes (DBEs), a different type of hydrolytic enzyme. This class of enzyme reduces excess branches by hydrolyzing branched linkages.

Figure 4.
A schematic representation of enzyme-mediated reactions involved in amylose and amylopectin biosynthesis in plants. The diagram depicts the interlink of non-linear reactions of different starch biosynthetic enzymes. The process of starch synthesis starts with the synthesis of ADP glucose used as glucosyl donor. Amylose is synthesised by the activity of a special starch synthase GBSS,123 Under different condition GBSS can switch from processive mode of action (addition of more than one glucose unit per substrate encounter thereby facilitating the synthesis of long linear chains124) to distributive mode of action (Elongation of glucan chains by one glucose unit per encounter),125 which determines its affinity for malto-oligosaccharide (MOS).126 Through distributive mode of action three isoforms of SS elongate amylopectin chains. Branching of amylopectin is created by SBEs from existing chains and misplaced branches are removed by two isoforms of isoamylase-type DBEs. Granule initiation occurs through the activities of two isoforms of SSs and two proteins Protein targeting starch (PTST) 2 and 3. The Orange arrows indicate the various steps involved in starch synthesis while blue arrows indicate isoforms of various enzyme classes involved in each step.
Figure 4.
A schematic representation of enzyme-mediated reactions involved in amylose and amylopectin biosynthesis in plants. The diagram depicts the interlink of non-linear reactions of different starch biosynthetic enzymes. The process of starch synthesis starts with the synthesis of ADP glucose used as glucosyl donor. Amylose is synthesised by the activity of a special starch synthase GBSS,123 Under different condition GBSS can switch from processive mode of action (addition of more than one glucose unit per substrate encounter thereby facilitating the synthesis of long linear chains124) to distributive mode of action (Elongation of glucan chains by one glucose unit per encounter),125 which determines its affinity for malto-oligosaccharide (MOS).126 Through distributive mode of action three isoforms of SS elongate amylopectin chains. Branching of amylopectin is created by SBEs from existing chains and misplaced branches are removed by two isoforms of isoamylase-type DBEs. Granule initiation occurs through the activities of two isoforms of SSs and two proteins Protein targeting starch (PTST) 2 and 3. The Orange arrows indicate the various steps involved in starch synthesis while blue arrows indicate isoforms of various enzyme classes involved in each step.
Angiosperms duplicated the SS, SBE, and DBE genes, resulting in multiple forms of the enzymes they encode. Although studies have shown that most of these isoforms perform specific roles during starch biosynthesis, they often exhibit overlapping functions. Granule-bound starch synthase (GBSS), a distinct type of SS, solely catalyzes the reaction that synthesizes amylose.123 Many plants commonly display five isoforms of soluble starch synthases (SSI, SSII, SSIII, SSIV, and SSV), and researchers have elucidated their specific functions in both monocots and dicots. Researchers have implicated three of the isoforms in the elongation of amylopectin chains, each with a preferred chain length they act upon: SSI catalyzes the elongation of short chains with 6-7 degrees of polymerization (DP) to 8-12 DP; SSII forms intermediate chains of 13-25 DP; and SSIII mainly catalyzes the formation of both intermediate and very long chains.127-135 Together, the three SS isoforms control structural formation and determine the cluster size of amylopectin.120 On the other hand, SSIV has been implicated in starch granule initiation.136,137 The report by Abt et al138 also demonstrated that SSV plays a role in starch granular initiation in the chloroplast. Even though it is a noncanonical isoform, it shares structural similarities with SSIV.
The diversity of starch-branching enzyme (SBE) isoforms varies across plant species. Cereals possess three SBE isoforms (SBEI, SBEIIa, and SBEIIb), whereas potatoes have only two. According to,139,140 SBEs were classified into the A-family and B-family. For example, pea SBEI, maize SBEII, and potato SBEII belong to the A-family, while rice SBEI, maize SBEI, pea SBEII, and potato SBEI belong to the B-family.139,141-145 Research reveals that SBE isoforms differ in their amylopectin branch formation capabilities, with B-family members transferring longer chains than A-family members.146-150 In potatoes, SBEI (B-family) exhibits a preference for long linear substrates like amylose, whereas SBEII (A-family) favors branched substrates like amylopectin.149
SBEs play a big role in figuring out how amylopectin branches and how its chain lengths are distributed, which is what makes up its cluster structure.151,152 DBEs come in two types: isoamylase (ISA) and limit dextrinase (LDA or pullulanase). Three isoforms of isoamylase have been identified, in contrast to a single form of limit dextrinase.153-155 ISA1 and ISA2 are essential for starch biosynthesis, while ISA3 and LDA primarily contribute to starch degradation.154,156-158 Isoamylase’s role is critical, as it enhances amylopectin crystallization by ‘trimming’ misplaced branches, thereby promoting structural order.120,159
Innovative approaches for gene modification to alter starch biosynthesis
Modern biotechnology tools can now manipulate certain starch biosynthetic enzymes to produce high-amylose starch in various crops more quickly than traditional plant breeding techniques, thanks to significant advancements in molecular genetics over the past two decades and conventional modifications in plant breeding. In the following sections, we will expand upon various manipulations of some of the starch biosynthetic enzymes that led to a significant increase in amylose content (Table 3). We will also describe the effects of such manipulations on starch yield.
Table 3.
Crops modified for increase amylose content through various genetic modification methods
|
Plant species
|
Cultivar(s)/Parent(s)
|
Inactivated gene/s
|
Starch amount versus WT
|
Percentage increase in amylose content
|
Modification
approach
|
Reference
|
| Pea |
rugosus (r) pea |
SBEI
|
50%p lesser |
100% |
Insertion of a transposon-like element into the coding
Sequence (Natural) |
160
|
| Rice |
Japonica cv. Kinmaze
(EM10) |
SBEIIb
|
55%q lesser |
66% |
Chemical mutagenesis |
161-163
|
| Japonica cv. Ilpumbyeo |
|
Not available |
45% |
Chemical mutagenesis |
164
|
Indica cv.
Te-qing |
SBEI/ SBEIIb
|
Not available |
138% |
RNAi |
165
|
| Japonica cv. Nipponbare |
SBEIIb
|
Unaltered |
110% |
RNAi |
101
|
| Japonica cv. Kitaake |
SBEIIb
|
Unaltered |
66.7% |
CRISPR-Cas9 |
166
|
| Japonica cv. Nipponbare |
SBEIIb
|
26%r lesser |
40% |
CRISPR-Cas9 |
167,168
|
| Japonica cv. Nipponbare and Kinmaze |
SS3a/ BEIIb
|
22%s lesser |
45% |
Cross between SS3a and BEIIb mutants |
169
|
| Maize |
Amylose extender maize |
SBEIIb
|
30%s less starch |
50% |
Natural mutation |
170,171
|
| High amlose donor (USA) and HKI 1344, HKI 1378, HKI 1348-6-2 (India) |
SBEIIb or ae1
|
~22%s |
49.3% |
Cross between ae1 donor and hybrid parents |
172
|
| Inbred line Chang 7-2 |
SBEIIa&SBEIIb
|
10.5%p lesser |
92.3% |
RNAi |
173
|
| Inbred line Tie7922 |
SBEIIa
|
Unaltered |
87.2% |
RNAi |
174
|
| Wheat |
|
SBEIIa-A-1, SBEIIa-B-1&SBEIIa-D-1 |
~43%r lesser |
210% |
Heavy-ion beam irradiation |
175
|
| Kronos |
SBEIIa-A &SBEIIa-B |
n.d |
61% |
Chemical mutagenesis |
176
|
| Mountrail/PI 330546 Mountrail/IG 86304 (SSIIa-A-1) |
SSIIa-B |
49%r less starch |
41% |
Chemical mutagenesis |
177
|
| Cadenza |
SSIIIa-A/SSIIIa-B/SSIIIa-D |
41%r lesser |
35% |
TILLING |
178
|
Kronos&
Express |
DW (SBEIIa-A &SBEIIa-B) and BW (SBEIIa-A, SBEIIa-B &SBEIIa-D) |
DW (12%p) and BW (11.7%p) |
DW (94%) and BW (142%) |
TILLING |
179
|
| Svevo |
SBEa-A-1&SBEa-B-1 |
31%r less starch |
96% |
TILLING |
180
|
| Cadenza |
SBEa-B-1&D-1 |
10%r |
17% - 20% |
Chemical mutagenesis |
181
|
| n.a |
SBEIIa
|
16.5%s less starch |
192% |
RNAi |
182
|
| Svevo |
SBEIIa
|
25%q less |
206% |
RNAi |
183
|
| Barley |
Himalaya |
SSIIa /Sex6
|
176%q less starch |
184% |
Chemical mutagenesis |
184
|
| High amylose Glacier |
SSiiia /amo1
|
10%r less starch |
40% |
|
185
|
| Golden Promise |
SBEIIa&SBEIIb |
32%r less starch |
213% |
RNAi |
186
|
| Golden Promise |
SBEI, SBEIIa&SBEIIb |
12%q less starch |
No amylopectin detected |
RNAi |
187
|
| Cassava |
TMS60444 |
SBEII
|
n.a |
127.3% |
RNAi |
188
|
| Potato |
Desiree |
SBEI &SBEII |
50%q less starch |
161% |
Antisense Technology |
189
|
| Prevalent, Producent and Dinamo |
SBEI&SBEII |
Less starch (no value) |
139%, 136% and 142% |
Antisense Technology |
190
|
| Kuras and Dinamo |
SBEI&SBEII |
n.a |
295% |
RNAi |
191
|
| Desiree |
All SBEI&SBEII alleles |
unaltered |
No amylopectin detected |
CRISPR-Cas9 |
192,193
|
Note: Cv; Cultivar, SBE; starch branching enzyme; DW; durum wheat, BW; bread wheat; A; A genome, B; B genome, C; genome,
-1; null, n.a; not available. p; dry weight, q; grain fresh weight, r; Whole meal/grain flour, s; endosperm.
Increasing amylose content in starch by manipulation of starch biosynthesis
Modification of SSs activities
Modifications in the activities of three starch synthases (SSs) responsible for amylopectin biosynthesis have been shown to lead to varying elevations in amylose content and alterations in the chain length of amylopectin branches. Rice, specifically Oryza sativa, is categorized into two main cultivated subspecies: japonica-type and indica-type, as distinguished by.194 Foods made from cultivars of the two subspecies have different textures because their amylose content and amylopectin structure are very different.195,196 These textural differences have been attributed to the polymorphic variations in the gbssi and ssiia genes, which are specific to each group. A single nucleotide polymorphism identified in the japonica cultivar, compared to the indica cultivar, is associated with reduced activities of the GBSSI and SSII enzymes.195-197 A nucleotide polymorphism within intron 1 of the GBSSI transcript in Japonica rice leads to aberrant splicing, resulting in an unusually long transcript.198,199 This genetic variation directly affects amylose content in Japonica endosperm starch, reducing it by approximately 5-10% compared to Indica rice.199,200 Furthermore, a reduction in SSIIa activity in japonica rice caused the amylopectin chain to increase from DP6 to 12 and a decrease in those with DP13 to 24,201,202 resulting in a reduction in starch gelatinization peak temperature when compared with the Indica cultivar.195 Recent research by Crofts et al203 showed that incorporating active SSIIa and/or high-expressing GBSS1 alleles from indica rice into japonica rice ss mutants increases gelatinization temperature. This is attributed to altered amylopectin chain length distribution and elevated amylose content. Similarly, Oryza glaberrima, Africa’s native cultivated rice species, exhibits higher amylose content and gelatinization temperature compared to Oryza sativa.204 Notably, Wambugu et al205 identified a non-synonymous SNP in the GBSS1 gene, potentially influencing enzyme activity and contributing to differences in starch properties.
According to Fujita et al128 where mutant rice plants deficient in SSI was manufactured, it exhibited a modest increase in both total and apparent amylose content in their starch. Notably, mutant rice plants lacking SSIIIa showed a more pronounced effect, with a 1.5-fold increase in amylose content A subsequent study by Fujita et al206 found that rice plants with simultaneous suppression of both Starch Synthase I (SSI) and Starch Synthase IIIa (SSIIIa) exhibited a slightly higher starch amylose content compared to plants with only SSIIIa suppression, indicating a cumulative effect of the double suppression on amylose content. On the contrary, Japonica rice mutants lacking ssiia showed no increase in amylose content, although there was a decrease in amylopectin chain length.201
The barley mutant, which produces endosperm starch with an elevated amylose content (45%), was first identified by Merritt207 and attributed the phenotype to a gene named amo1.208 Later, Li et al185 identified SSIIIa as the potential gene whose mutation caused high amylose in the amo1 mutant. However, more research by Li et al185 showed that the phenotypic effect seen in the amo1 mutant might not be due to the complete loss of SSIIIa activity, but rather to the negative regulation of other genes involved in starch biosynthesis. On the other hand, a mutation in ssiia conferred a high amylose phenotype on the endosperm starch of the Sex6 barley mutant.184 While this Ssii/Sex6 mutant’s amylopectin had shorter chains, the endosperm’s lipid level went up a lot.209 This may have helped the formation of a complex between lipids and amylose (RS5), which is what led to the high level of RS found in foods made from this barley mutant.210
In a similar vein, Yamamori et al211 documented a wheat line called “starch granule protein-1 null” that exhibits a lack of expression of all three SSIIa genes. Further study revealed that this is caused by mutations involving a deletion in the exon sequences of the A and D genomes, as well as an insertion in the B genome.212 The null wheat line exhibits a similar composition of amylose and amylopectin with shorter chains in its endosperm starch, resembling the Sex6 barley mutant phenotype.211,213 The presence of premature stop codons in the ssiiia of genomes A, B, and D (triple mutants) and AB, AD, and BD (double mutants) of hexaploid bread wheat resulted in elevated amylose levels as determined by the SEC method. Nevertheless, it was shown that only the triple mutant exhibited a substantial elevation in amylose levels as determined by both the SEC and iodine techniques.178 The RS content in whole meal flour and purified starch of the triple mutants were more than twice as high as that of the control, according to Sestili et al.183 This implies that altering SS activity in certain crops can lead to an increased quantity of amylose in the store starch.
A common feature in grains of mutants lacking SS activity is shrunkeness.178,184 Previous studies have shown that deficiency in the activity of important starch biosynthetic enzymes often results in a reduced amount of starch in the embryo, accompanied by an increased sucrose level, which causes the shrunkenness of mature seeds.160,214 The grains of the barley amo1 mutant line185 are full and plump, even though there is a small decrease in the amount of starch compared to the wild type. On the other hand, the barley sex6 mutant line and wheat SSiiia triple mutants have smaller grains.
Further research has elucidated the role of SS in starch structure formation across various crops, including potatoes and peas. Interestingly, concurrent inhibition of SSI and SSII in potatoes did not yield an expected increase in amylose content within the tuber starch. This is likely because these isoforms have overlapping activities in this crop, as stated by Kossmann et al.215 Furthermore, the sucrose level did not increase, even though the starch content in the tuber remained unchanged.215 Therefore, it is reasonable to suggest that ss mutants, particularly in cereal crops, may produce less amylopectin, resulting in a higher proportion of amylose, even though the actual amount of amylose remains unchanged. According to Craig et al,216 a mutation in the ssII gene caused the development of long-chain amylopectin in the pea rug-5 mutants first generated by Wang et al.217
Modification of SBE activities
High amylose starch has been detected in mutant or transgenic plants through genetic modification of the SBE gene. The presence of high amylose starch, reaching up to 50%, was initially discovered in monocot plants, specifically in amylose extender (ae) maize, and a dicot plant known as rugosus (r) pea was found to contain even higher levels of amylose starch, ranging from 65% to 70%. The two natural mutants were designated based on the phenotype they displayed.170,218 Later, Horan and Heider73 verified that the observed characteristics were a result of a genetic mutation in the starch branching enzyme of amylose extender. Additionally, White219 identified rugosus (r) as the specific locus affected by the mutation. The specific enzymes responsible for causing this phenotype were eventually identified as SBEIIb in maize extender and SBEI in the (r) mutant pea.160,220,221 Therefore, the inherent reduction in starch branching enzyme activity in both ae maize and r pea is directly associated with the elevated amylose content of the mutants. Several food products, like white bread, incorporate high-amylose starch from maize, which is readily available in the market. However, incorporating RS directly into the diet through wholegrain or wholemeal offers additional nutritional benefits compared to using it as a supplementary ingredient from purified starch. We describe various efforts to manipulate SBE in other notable cereals, roots, and tuber crops to increase the amylose content.
Researchers have manipulated each of the SBEs in rice; for instance, mutant rice deficient in SBEI did not alter the amylose content of the endosperm, despite a minor increase in the short chains of amylopectin and a decrease in the long chains.166,222 The first rice cultivar to have RS is ‘EM10’, also known as super-hard rice, a mutant lacking SBEIIb’s activity. The endosperm starch of this rice variety has a significant amount of amylose, as well as amylopectin with a longer molecular chain.162 These phenotypes have been further confirmed in two cultivars of japonica rice where sbeiib was mutated166,168 and in trangenic Japonica rice where SBEIIb was repressed.101 Additionally, Zhu et al165 found that simultaneous repression of both SBEI and SBEIIb increased the amount of amylose in the endosperm starch of Indica rice. Although Zhu et al165 did not determine the amount of starch, it likely decreased.
This is because starch accounts for approximately 90% of the dry weight of rice kernels, and the 38% reduction in kernel weight reported in there study could likely be attributed to a decrease in starch accumulation in the endosperm. The study by, Baysal et al168 which showed a 26% reduction in the starch amount of dry seed, also showed a reduction in dry seed and dehulled grain weights.
The possibility of increasing the amylose in wheat was demonstrated in the transgenic wheat repressed in sbeiia.183,223 In this study, a decrease in SBEIIb expression occurred concomitantly with that of SBEIIa which was originally targeted and it was established that this was not as a result of cross-silencing of sbeiib alongside sbeiia but due to concerted activities of the two enzymes which are necessary for amylopectin synthesis.223 However, sole repression SBEIIb did not show any significant alteration in the starch composition or structure.223 This trend was also analogous in barley as only the repression of SBEIIa by RNAi – not true for SBEIIb repression – caused an increase of amylose to about 50%.186 Transgenic barley that is repressed in the three SBE genes produced starch granules with only amylose.187
Transgenic wheat with suppressed SBEIIa demonstrated the potential to enhance the amylose content in wheat.183,223 The study observed a decrease in SBEIIb expression in conjunction with the original target, SBEIIa. Researchers concluded that the coordinated actions of these two important enzymes for amylopectin synthesis, not the simultaneous repression of SBEIIb and SBEIIa, caused this drop.223 Nevertheless, the exclusive inhibition of SBEIIb did not result in any notable modification in the content or structure of starch.223 Only the inhibition of SBEIIa using RNAi led to an approximately 50% increase in amylose content in barley, while the repression of SBEIIb did not have the same effect.186 Genetically modified barley suppressing its three SBE genes produces solely amylose-containing starch granules.187
In potato repression of SBEI activity leads to no increase in amylose and minor alterations in starch structure,144,192,193 but decreases in SBEII activity lead to a minor increase in the amylose content of the tuber starch and an increase in small starch granules.145 Transgenic repression of activities of both SBEI and SBEII leads to large increases in amylose in potatoes191,190 and in mutants potato where all the four alleles of both Stsbei and Stsbeii are mutated, only amylose accumulates.192,193 Likewise amylose content increased in storage starch of cassava in which SBEII wasrepressed.188
The modification of SBEs is a critical factor in increasing amylose content. By reducing amylopectin biosynthesis while maintaining a constant amylose proportion, and forming long amylose-like chains on amylopectin, SBE modification leads to a relative increase in amylose proportion. This is achieved through decreased branching frequency on amylopectin, resulting in the formation of long, amylose-like chains. Furthermore, interactions between SBE isoforms and other starch biosynthetic enzymes may also impact amylopectin branching, contributing to the biosynthesis of starch.189,224,225 Ultimately, SBE modification plays a pivotal role in regulating amylose content in various crops.
Benefits and limitations of high amylose starchy food
By harnessing the power of genetic engineering to optimize the starch biosynthesis pathway, scientists have achieved a substantial increase in amylose content across various crops. This innovation has cleared the path for the development of new, amylose-rich cultivars, poised to make a significant impact on the food industry and enhance the nutritional value of staple crops. The introduction of high-amylose rice cultivars in SSA could have far-reaching benefits for public health. Previous studies have suggested that regular rice consumption may increase the risk of developing DM. Research, however, has shown that high-amylose rice products, such as cookies made from high-amylose rice flour, can help regulate blood sugar levels.226 Additionally, studies in both normal and diabetic rats have demonstrated the positive effects of high-amylose rice grains on glucose metabolism.165 Also, tests on humans have shown that eating high-resistant starch rice lowers the rise in blood sugar and insulin levels after a meal.227 This shows that high-amylose rice may be able to lower the risk of diabetes and improve health outcomes in the SSA region as a whole. Human clinical trials have validated the health benefits of high-amylose barley grains.197 In a groundbreaking development, Australian scientists have engineered a genetically modified barley variant, dubbed BARLEYmax, by eliminating the ss2a and ss3a genes.185 This innovative variant boasts an exceptionally high amylose content, making it an ideal ingredient for various food products, including breakfast cereals, flatbreads, cereal bars, porridges, and more. BARLEYmax has paved the way for the creation of nutritious and functional food options, harnessing the advantages of high-amylose barley to support public health.
Corrado et al228 performed an extensive study examining the effects of high-amylose wheat flour bread on starch digestibility and glycemic response. Their findings revealed that, compared to conventional bread, starch breakdown was reduced by 20% in vitro, while in vivo glycemic response decreased by 15%. These results are similar to the general trend of better glycemic control, but they are a little different from those of Belobrajdic et al,62 who found a stronger effect, with a 39% drop in post-meal glycemic response and a 24% drop in insulinemic response after eating high-amylose wheat flour bread. The underlying mechanism driving the reduced postprandial glycemic response in both studies likely stem from the decreased amount and availability of carbohydrates in high-amylose wheat bread. Moreover, the compact structure of high-amylose starch may restrict starch swelling and gelatinization, thereby slowing the rate and extent of digestion.229,230
Furthermore, an earlier study by Van Hung et al231 showed that blending regular wheat flour with high-amylose flour in a 1:1 ratio produced bread that was not only acceptable in terms of quality but also retained a significant amount of RS. Corroborating this, Corrado et al228 found that incorporating high-amylose flour into bread did not compromise its texture or appearance, suggesting that this could be a viable strategy for creating functional bread products with enhanced nutritional profiles.
Recently De Arcangelis et al232 examined the impact of replacing durum wheat semolina with high-amylose bread wheat flour in pasta production. Their study involved substituting semolina at varying levels (30%, 50%, and 70%) and found significantly increased RS content in cooked pasta products. Notably, high-amylose flour substitution slowed starch digestion rates across all samples, suggesting potential benefits for glycemic control and digestive health. The 70% high-amylose semolina-type flour composition exhibited optimal cooking and nutritional properties. Rice varieties engineered to lack SBEIIb activity, either through mutation or genetic modification, have shown significant nutritional enhancements. However, these improved rice lines share a common characteristic―opaque rice grains―unlike the typically translucent appearance of conventional rice.101,162,165,167 Although the flour from these nutritionally enhanced rice varieties could be valuable in various food products, such as wheat and rice bread and noodles,233 the opaque grain appearance may detract from their appeal. This aesthetic change could impact consumer acceptance and marketability, presenting a challenge to the adoption of these improved rice lines despite their potential nutritional benefits.
A common trait among mutant or transgenic rice varieties is that elevated amylose content often leads to a decrease in endosperm starch.102,167,168 However, a notable exception was observed when indica’s GBSSI and SSIIa genes were introgressed into Japonica rice lacking SBEIIb activity through the crossing. This resulted in a mutant rice line that not only maintained a similar endosperm starch content to regular indica rice but also exhibited increased amylose content. Although, this mutant rice had approximately 10% less endosperm starch compared to conventional Japonica rice.234,235 This finding suggests that careful genetic manipulation can mitigate the typical trade-off between amylose content and starch quantity in rice.
Researchers have also reported a reduction in the storage starch of potatoes and wheat lacking SBE activity, resulting in an increased amylose content.183,190 A previous review by Lloyd and Kossmann236 examined the biotechnological modification of plants to increase starch content in storage organs. The review also provides suggestions on how to enhance starch yield through biotechnological methods, which may apply to plants that lack SBE activities and have reduced storage starch. Moreover, by scaling up the cultivation of high-amylose rice varieties to harness Africa’s vast arable land resources―which account for 60% of the world’s total―the issue of low starch content be effectively addressed. The continent’s untapped agricultural potential offers a prime opportunity to expand production, driven by the compelling health benefits associated with these cultivars. By leveraging this land availability, the global supply of nutritious, high-amylose crops can be increased, ultimately contributing to improved public health outcomes and economic growth through export to other regions.
Sub-Saharan Africa’s Regulatory Status on GMOs and Genome-Edited Products
The scarcity of natural high-amylose crops has spurred innovation in biotechnology, enabling the development of genetically modified (GM) or genome-edited crop varieties with improved amylose content. This breakthrough has significant implications for enhancing nutritional quality and addressing public health concerns. However, the adoption of GM crops and genome editing technologies in SSA is shaped by diverse regulatory frameworks and policy implications. Country-specific regulatory approaches to GM crops and gene editing have resulted in a heterogeneous landscape of governance. GM crops face significant barriers in Africa due to concerns regarding exogenous DNA, consumer skepticism, and high approval costs. Stringent regulatory scrutiny and debates about unintended environmental consequences have further constrained their adoption.237 In contrast, genome editing techniques, which may not introduce foreign DNA, have sparked optimism about their potential exemption from GM regulations.238,239
This distinction has led four countries to establish guidelines for regulating genome-edited products, with most exempting products lacking foreign DNA from regulations with south Africa being the only exemption. Notably, South Africa and Kenya have enacted labeling requirements for GMO products, although Kenya exempted certain genome-edited products. The African Union’s Agenda 2063 endorses gene editing as a revolutionary breeding tool with vast agricultural potential, promising more flexible and efficient crop development when exempt from GM regulations.240 Numerous African nations with less strict regulations concerning certain GEd products may also gain mutual advantages through a continental framework such as the African Continental Free Trade Area (AfCFTA) declaration. This will promote cross-border trading of high-amylose starchy foods when developed and facilitate the distribution of such items across numerous countries in SSA.
Conclusion
Data on the food system in SSA suggests a shift in food demand and preference due to the rise of the middle class and rapid urbanization. It is therefore plausible that the increase in T2DM prevalence in SSA can be associated with dietary changes that favour the consumption of calorically dense and easily digestible starchy foods. Here we discussed a promising way of delaying the onset or management of T2DM, which is to increase the RS component in common starch foods to facilitate the slow release of glucose when ingested. We presented literature-based evidence demonstrating the effective application of modern agricultural biotechnology methods to enhance the RS content in common starchy crops. Some countries around the world have already effectively utilized this innovative technology, leading to the commercialization of various products with high-resistant starch. As African governments continue to make efforts to transform their food systems, they must take advantage of these biotechnology methods for developing starchy crops with high-resistant starch, making them healthier for consumption and ultimately helping to curb the increasing prevalence of T2DM.
Competing Interests
Authors declare we have no competing financial or personal interest
Ethical Approval
Not applicable.
Acknowledgements
MSA was funded by African Renaissance Doctoral Fellowship for Research in South Africa, by The World Academy of Science and National Research Fund. OBM, ongoing support by the Division of Biological and Health Sciences, Pitt-Bradford is acknowledged.
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