Primary Food Source Research Articles

Silencing of a putative alanine aminotransferase (ALT) gene influences free amino acid composition in hemolymph and fecundity of the predatory bug, Cyrtorhinus lividipennis Reuter.

In Asian rice systems, Cyrtorhinus lividipennis Reuter is an important predator that preys on rice planthopper eggs and young nymphs, as a primary food source. Alanine aminotransferase (ALT) acts in many physiological and biochemical processes in insects. We cloned the full-length complementary DNA of C. lividipennis ClALT. Expression analysis showed higher expression in the fat body and midgut compared to other tissues. It is expressed in all C. lividipennis developmental stages and at least four organs. Silencing of ClALT by RNA interference significantly decreased the ClALT enzyme activity and ClALT expression compared to dsGFP-treated controls at 2 days after emergence (DAE). Silencing of ClALT influenced free hemolymph amino acid compositions, resulting in a reduction of Aspartic acid (Asp) and Alanine (Ala) proportions, and increased Cysteine (Cys) and Valine (Val) proportions in females at 2 DAE. dsClALT treatments led to decreased soluble total protein concentrations in ovary and fat body, and to lower reduced vitellogenin (Vg) expression, body weight, and the numbers of laid eggs. The double-stranded RNA viruse treatments also led to prolonged preoviposition periods and hindered ovarian development. Western blot analysis indicated that silencing ClALT also led to reduced fat body Vg protein abundance at 2 DAE. These data support our hypothesis that ClALT influences amino acid metabolism and fecundity in C. lividipennis.

Welfare Impacts of Non-Farm Employment in Semi-Arid Areas: Evidence From Burkina Faso

While several studies have linked rural welfare with non-farm employment, the available evidence suggests that whether participation in non-farm employment is welfare improving is intrinsically an empirical question. In addition, the existing literature has focused on either food or total household expenditure such that there is a dearth of evidence regarding of types of household expenditure. Using a repeated cross-sectional data from Burkina Faso, this paper shows that the extent of the impact varies with types of non-farm employment and types of household expenditure. We find that participation in wage employment and non-farm self-employment during the dry season increase non-food expenditure but have no significant effect on food expenditure. Participation during both dry and cropping seasons, and total non-farm employment are associated with higher food and non-food expenditures, with highest impact on the latter. The general patterns of the results suggest that smallholder farmers tend to classify agriculture as the primary source of food while incomes from non-farm sources are preferably oriented towards non-food consumption. From policy perspective, this shows that promoting the rural non-farm economy will improve welfare in the semi-arid areas.

Health Beliefs of Diabetic Pacific Islanders in Iowa.

Diabetic Pacific Islanders from the Federated State of Micronesia island state of Pohnpei have settled in rural Iowa. Little is known about the people of Pohnpei. Research was undertaken to examine health practices and cultural beliefs of diabetic Ponapeans. Open-ended questions were utilized to interview 15 adults about their experiences in caring for their diabetes. Four themes were identified among participants: attitude toward diabetes, food choices, barriers to care, and support from community and family. Health care providers must prioritize culturally sensitive care. Understanding the importance of Ponapean faith and social community, working with community elders, and adapting diabetic education to address the role of rice as a primary food source are specific ways to meet the needs of the Ponapean people.

Human Rights and Women’s Disproportionate Vulnerability to Climate Change: Insights from Nigeria and Ethiopia

Changes in climate overtime due to natural variability and human activity poses a serious threat to human rights, and indeed to human existence. Climate change has and will continue to contribute to an increase in the frequency and intensity of events which adversely affect the full enjoyment of a broad range of human rights. Women are more likely to experience the adverse effects caused by climate change than men because women constitute most of the world’s poor and are often directly dependent on natural resources that are threatened by climate change as their primary source of food and income. In developing nations of Africa, women often face systemic discrimination, cultural stereotypes and social, economic and political barriers that limit their adaptive capacity. Hence, climate change negatively affects women’s rights to food and livelihood, water, health, education and participation in environmental decision making. The paper combines theoretical insights with primary data to highlight the peculiar circumstances of women in Africa which increases their vulnerability to the adverse impacts of climate change and the extent of protection under the human rights system. Drawing on women experiences in Nigeria and Ethiopia, it argues for more attention to women's ecological, economic and human rights deficits in a changing climate and the policy implications for future efforts to address the adverse impacts of climate change. Keywords: Gender, global warming, Africa. DOI: 10.7176/JLPG/111-03 Publication date: July 31 st 2021

Reimagining Schools' Role Outside the Family Regulation System

The United States’ family regulation system often begins with well-intentioned professionals making child protection hotline calls, jeopardizing their own ability to work with families and subjecting the families to surveillance. By the system’s own standards, most of this surveillance leads to no meaningful action. Nowhere is this reality more present than in schools. Educational personnel serve as the leading driver of child maltreatment allegations, yet decades worth of data reveal educator reports of maltreatment are the least likely to be screenedin and the least likely to be substantiated or confirmed. In other words, education personnel— whether motivated by genuine concern, which may nevertheless be informed by implicit biases towards low-income families and families of color; fear of liability; or the desire to access services they believe families cannot acquire elsewhere— overwhelm our child welfare system with unnecessary allegations of maltreatment. This reality has fundamentally transformed the relationship between families and schools. Carrying the heavy burden of mandated reporting laws, public schools disproportionately refer Black and low-income families to the family regulation system, abdicating schools’ opportunity to serve these same families in the communities in which they reside. Rather than serving as the great equalizer, public schools increasingly contribute to the carceral state’s regulation of families. This Article argues that schools must shift their role away from the reporting and surveillance of these families, and instead directly provide and arrange for services for families. This change begins with sharply limiting or repealing mandatory reporting obligations (permitting voluntary reports in severe cases)—but that is only the start. Schools are well-positioned to create new pathways to the supports and services from which most families reported to the family regulation system might actually benefit. Schools are already a primary source of food for impoverished children, and can help ensure low-income families access all the public benefits to which they are entitled. Schools can largely refer children and families to the same services that the family regulation system can—such as mental health services and substance abuse treatment—but without that system’s coercive authority and its associated problems. Where some services are tied to the family regulation system’s involvement, then law should permit schools to refer families directly. Schools know which families need legal services to defend their housing, access benefits, obtain orders of protection—or any of the myriad of other supports that poverty lawyers can provide. This shift would tie schools to the families and communities that they serve and benefit those families and communities far more than the surveillance and policing they experience under the current family regulation system.

The Bird Assemblage of the Darwin Region (Australia): What Is the Effect of Twenty Years of Increasing Urbanisation?

There has been considerable urban development in the Darwin region over the last twenty years; as for most fauna in Australia since colonisation, the potential effects to the bird assemblage were expected to be disastrous. To provide a broad overview of changes, bird survey data from 1998 and 2018 were extracted from BirdLife Australia’s ‘Atlas of Australian Birds’ database. A total of 165 species were categorised into primary food source feeding guilds and levels of food specialisation. This was integrated into ArcGIS along with land use change mapping from 1998 and 2018 to investigate its impact on bird assemblages. There was no significant change in overall species numbers when all sites were analysed. However, when sites were separated into those with increased urbanisation or decreased greenspace, several sites showed a significant change in the number of species. For the majority of species, analysis of primary food types found no difference in the proportion of species within the assemblages between 1998 and 2018, regardless of the level of urbanisation or greenspace; the exception being those species that primarily feed on insects, where the difference was just significant. An analysis using bird community data sorted into levels of food specialisation also found no difference between 1998 and 2018 despite habitat changes. These findings suggest that although there has been considerable urban development in the Darwin region, bird communities are remaining relatively stable.

The Termite Fungal Cultivar Termitomyces Combines Diverse Enzymes and Oxidative Reactions for Plant Biomass Conversion.

ABSTRACTMacrotermitine termites have domesticated fungi in the genus Termitomyces as their primary food source using predigested plant biomass. To access the full nutritional value of lignin-enriched plant biomass, the termite-fungus symbiosis requires the depolymerization of this complex phenolic polymer. While most previous work suggests that lignocellulose degradation is accomplished predominantly by the fungal cultivar, our current understanding of the underlying biomolecular mechanisms remains rudimentary. Here, we provide conclusive omics and activity-based evidence that Termitomyces employs not only a broad array of carbohydrate-active enzymes (CAZymes) but also a restricted set of oxidizing enzymes (manganese peroxidase, dye decolorization peroxidase, an unspecific peroxygenase, laccases, and aryl-alcohol oxidases) and Fenton chemistry for biomass degradation. We propose for the first time that Termitomyces induces hydroquinone-mediated Fenton chemistry (Fe2+ + H2O2 + H+ → Fe3+ + •OH + H2O) using a herein newly described 2-methoxy-1,4-dihydroxybenzene (2-MH2Q, compound 19)-based electron shuttle system to complement the enzymatic degradation pathways. This study provides a comprehensive depiction of how efficient biomass degradation by means of this ancient insect’s agricultural symbiosis is accomplished.

Intake of Vitamin E and C in Women of Reproductive Age: Results from the Latin American Study of Nutrition and Health (ELANS).

Vitamin E was identified as a lipophilic compound essential to maintain rat pregnancy. Low vitamin E intake during early pregnancy associates with congenital malformations and embryonic loss in animals and with miscarriage and intrauterine growth restriction in humans. Vitamin E protects cell membranes from lipoperoxidation and exerts non-antioxidant activities. Its function can be restored by vitamin C; thus, intake and circulating levels of both micronutrients are frequently analyzed together. Although substantial vitamin E inadequacy was reported worldwide, its consumption in Latin America (LatAm) is mostly unknown. Using data from the Latin American Study of Nutrition and Health (Estudio Latinoamericano de Nutrición y Salud, ELANS), we evaluated vitamin E and C intake in women of reproductive age (WRA) from eight LatAm countries and identified their main food sources. Two non-consecutive 24-h dietary recalls in 3704 women aged from 15 to 49 years and living in urban locations showed low average intake of vitamin E (7.9 mg/day vs. estimated average requirement (EAR) of 12 mg/day) and adequate overall vitamin C consumption (95.5 mg/day vs. EAR of 60 mg/day). The mean regional inadequacy was 89.6% for vitamin E and 36.3% for vitamin C. The primary food sources of vitamin E were fats and oils, as well as vegetables. Vitamin C intake was explained mainly by the consumption of fruit juices, fruits, and vegetables. Combined deficient intake of both vitamins was observed in 33.7% of LatAm women. Although the implications of low antioxidant vitamins’ consumption in WRA are still unclear, the combined deficient intake of both vitamins observed in one-third of ELANS participants underscores the need for further research on this topic.

ECLIPTA ALBA (BHRINGRAJ): A PROMISING HEPATOPROTECTIVE AND HAIR GROWTH STIMULATING HERB.

Plants are the primary source of food, shelter, and various remedial approaches. They are being in use for treating various kinds of human ailments across the world since the ancient times. One of such important plants is Eclipta alba hassk (Asteraceae) which is commonly known as Bhringraj and false daisy. This plant is known for its extra-ordinary therapeutic properties. It is one of most widely used plant in traditional systems of medicines such as Ayurvedic, Unani, Sidha, homeopathy, Chinese, and folk. Each part of this medicinal plant contains many important phytochemical constituents such as coumestans, triterpenes, flavonoids, steroids, polypeptides, and saponins. It is majorly used for enhancing the growth, strength, and blackening of hair. It is used as the main ingredient in many hair oils. It significantly treats problems related to hair such as hair fall, dandruff, premature greying, and baldness. E. alba exhibits many other important biological properties such as anticancer, anti-bacterial, anti-viral, anti-stress, and immunomodulatory. Thus, this medicinal plant is playing a vital role in the medical field and cosmetic industry. The present review is a summary of phytomedicinal importance of E. alba in Ayurveda as well as folk medicine system.

Detection of Crop Diseases using Deep Learning via Android Application

Crops have ever been a primary source of food for humans as it provides us energy to carry out our everyday tasks. Every person requires food for his survival. During the early ages, the food requirement was far less as the human population was very less and sparse but after the fourth industrial revolution population explosion occurred due to which there was a sharp increase in population, and as a result, the food demand also spiked due to which shortage of food had occurred which still exists. This shortage was primarily caused due to two reasons-Increase in Agriculture destruction and a sharp increase in population. Deep learning has brought a new era of introducing intelligence to our artificial devices to imitate a task like humans without being programmed with pre-defined rules to do so. In this paper, we propose to integrate Deep learning to reduce the loss of crops due to crop infections caused by various microbes. We implement an Android solution operating in a mobile environment that integrates the Deep Learning Neural Network and provides an on-device image recognition of crop diseases. The deep learning model acquires an accuracy of 95% and is a modified MobileNetV2 model which is converted to a Siamese Network. This model is deployed as an Android Application with high performance and a higher accuracy while only consuming the resource of that device. Due to all the factors, this solution can be widely implemented due to its higher accuracy as well as it is cost-friendly.

CROP DISEASE DETECTION MOBILE APPLICATION

India being one of the major agricultural producing countries relies majorly on food production. The primary source of income in India is also through agriculture. Agriculture is also a primary source of employment, food and income for many citizens of India. There are many factors that are responsible for good agricultural production. Some of the factors include usage of fertilizers, amount of rainfall, proper distribution of rainfall, fertility of soil, quality of soil etc. The major issue which is faced by people is the crop diseases. Crop diseases also act as a major threat for small scale farmers because it may lead to destruction in their whole food supply. Sometimes farmers are not fully aware of the diseases which can lead to false determination of disease and improper solution of the problem. Farmers often tend to use wrong fertilizers or wrong amounts of fertilizers which may lead to crop failure. Farmers usually identify the disease through their naked eyes which eventually leads them to make wrong predictions about the disease. As a solution to this problem, this mobile application focuses on identifying the right disease and also to provide the solutions for the same. This mobile application can run in Android as well as iOS which make it more usable. It uses machine learning and deep learning for disease detection in the crops. Deep neural network and Convolutional neural network, parts of deep learning have been used to detect diseases.

A genome-wide scan of copy number variants in three Iranian indigenous river buffaloes

BackgroundIn Iran, river buffalo is of great importance. It plays an important role in the economy of the Country, because its adaptation to harsh climate conditions and long productive lifespan permitting its farming across the Country and to convert low-quality feed into valuable milk. The genetic variability in Iranian buffalo breeds have been recently studied using SNPs genotyping data, but a whole genome Copy Number Variants (CNVs) mapping was not available. The aim of this study was to perform a genome wide CNV scan in 361 buffaloes of the three Iranian river breeds (Azeri, Khuzestani and Mazandarani) through the analysis of data obtained using the Axiom® Buffalo Genotyping Array 90 K.ResultsCNVs detection resulted in a total of 9550 CNVs and 302 CNVRs identified in at least 5% of samples within breed, covering around 1.97% of the buffalo genome. and A total of 22 CNVRs were identified in all breeds and a different proportion of regions were in common among the three populations. Within the more represented CNVRs (n = 302) mapped a total of 409 buffalo genes, some of which resulted associated with morphological, healthy, milk, meat and reproductive traits, according to Animal Genome Cattle database.ConclusionsThis work provides a step forward in the interpretation of genomic variation within and among the buffalo populations, releasing a first map of CNVs and providing insights about their recent selection and adaptation to environment. The presence of the set of genes and QTL traits harbored in the CNVRs could be possibly linked with the buffalo’s natural adaptive history together to a recent selection for milk used as primary food source from this species.

Assessing the contribution of mangrove carbon and of other basal sources to intertidal flats adjacent to one of the largest West African mangrove forests

Mangrove forests are productive habitats and major potential exporters of organic matter and nutrients to adjacent habitats. Here we examine the extent to which mangrove carbon is transferred to adjacent intertidal food webs in the second largest mangrove-covered area in Africa, in Guinea-Bissau. Applying stable isotope analysis and mixing models, we made comparisons at two spatial scales: (1) a large scale, comparing intertidal flats with (mangrove sites) and without (control sites) adjacent mangrove forests regarding the carbon isotopic signature of macrozoobenthos and sediment organic matter (SOM), and the relative importance of potential primary food sources in sustaining macrozoobenthos, and (2) a fine scale, performing stable carbon isotope measurements along 200 m transects from the coastline out to open intertidal flats, to trace mangrove carbon in macrozoobenthos and in the SOM. We found no evidence that mangrove carbon sustains intertidal food webs, despite SOM being significantly more depleted in 13C in mangrove sites. Mangrove leaves had the lowest relative contribution to the diet of macrozoobenthos, while macroalgae, benthic microalgae and POM showed variable but overall relevant contributions. Yet, at a smaller scale, mangrove carbon was detectable in SOM and in most macrozoobenthos, being strongest within 50 m of the mangrove edge and quickly fading with increasing distance. Our results suggest that there is only a marginal input of mangrove carbon into the food webs of unvegetated intertidal flats. Still, this leaves open the possibility of mangrove forests acting as sources of dissolved inorganic carbon and processed nitrogen, which can be assimilated by the algae and subsequently fuel adjacent food webs.

Predicting impacts of food competition, climate, and disturbance on a long‐distance migratory herbivore

AbstractClimate change is driving worldwide shifts in the distribution of biodiversity, and fundamental changes to global avian migrations. Some arctic‐nesting species may shorten their migration distance as warmer temperatures allow them to winter closer to their high‐latitude breeding grounds. However, such decisions are not without risks, since this intensifies pressure on resources when they are used for greater periods of time. In this study, we used an individual‐based model to predict how future changes in food abundance, winter ice coverage, and human disturbance could impact an Arctic/sub‐Arctic breeding goose species, black brant (Branta bernicla nigricans, Lawrence 1846), and their primary food source, common eelgrass (Zostera marina L.), at the Izembek Lagoon complex in southwest Alaska. Brant use the site during fall and spring migrations, and increasingly, for the duration of winter. The model was validated by comparing predictions to empirical observations of proportion of geese surviving, proportion of geese emigrating, mean duration of stay, mean rate of mass gain/loss, percentage of time spent feeding, number of bird days, peak population numbers, and distribution across the complex. The model predicted that reductions >50% of the current decadal (2007–2015) mean of eelgrass biomass, which have been observed in some years, or increases in the number of brant, could lead to a reduction in the proportion of birds that successfully migrate to their breeding grounds from the site. The model also predicted that access to eelgrass in lagoons other than Izembek was critical for overwinter survival and spring migration of brant, if overall eelgrass biomass was 50% of the decadal mean biomass. Geese were typically predicted to be more vulnerable to environmental change during winter and spring, when eelgrass biomass is lower, and thermoregulatory costs for the geese are higher than in fall. We discuss the consequences of these predictions for goose population trends in the face of natural and human drivers of change.

Relationship between distribution of phytoplankton with Cimanuk river water quality

Plankton is the primary food source for aquatic animals so that these herbs have an important role for the aquatic ecosystem. Research conducted in April 2019 at Cimanuk River, Garut, West Java. Water quality is strongly influenced by the activity of sand mining, industrial waste, agricultural, and household waste so that quality is reduced. Water quality can be determined through the study of biological analysis with the use of bioindicators. Bio-indicators used is the aquatic biota phytoplankton. This research uses descriptive research with correlation method. The goal is to determine the relationship between the distribution of phytoplankton with the quality of its waters. From the results of the research produced distribution of phytoplankton that consist of: The abundance of phytoplankton (1,077-a trough hit-1710 individuals/l), the index of diversity (2,6014-2,9184), the index of evenness (0,8651-0,8797), and index of dominance (0,8912-0.9255 level). Based on the person correlation showed that the relationship between water quality (light intensity, brightness, current speed, wind speed) with the distribution of phytoplankton.

Free Sugars Intake among Chinese Adolescents and Its Association with Dental Caries: A Cross-Sectional Study.

This study aims to estimate the free sugars intake, identify the primary food sources of free sugars, and explore the relationship between free sugars intake and dental caries among Chinese adolescents. This cross-sectional study included 1517 middle-school students aged 12–14 years in Changsha city, China. Adolescents completed a 12-item Food Frequency Questionnaire (FFQ) and oral health assessment. The students’ dental caries experience was available as DMFT score (number of decayed, missing, and filled permanent teeth). Statistical analyses included the Mann–Whitney test, Kruskal–Wallis test, Chi-square test, and binary logistic regression model. The average intake of free sugars was 53.1 g/d in adolescents, and 43.2% of the students consumed more than 50 g of free sugars daily. The primary contributor to free sugars was sugar-sweetened beverages (SSBs). Age, boarders, and high family income were risk factors for excessive free sugars intake (p < 0.05), and increased free sugars intake was a risk factor for dental caries (odds ratio, OR = 1.446, 95% confidence interval: 1.138–1.839). Both the free sugars intake and dental caries prevalence in Chinese adolescents were high. Targeted interventions are urgently needed to address the excessive consumption of free sugars and improve Chinese adolescents’ oral health.

Post-translational modifications regulate the activity of the growth-restricting protease DA1

Plants are a primary food source and can form the basis for renewable energy resources. The final size of their organs is by far the most important trait to consider when seeking increased plant productivity. Being multicellular organisms, plant organ size is mainly determined by the coordination between cell proliferation and cell expansion. The protease DA1 limits the duration of cell proliferation and thereby restricts final organ size. Since its initial identification as a negative regulator of organ growth, various transcriptional regulators of DA1, but also interacting proteins, have been identified. These interactors include cleavage substrates of DA1, and also proteins that modulate the activity of DA1 through post-translational modifications, such as ubiquitination, deubiquitination, and phosphorylation. In addition, many players in the DA1 pathway display conserved phenotypes in other dicot and even monocot species. In this review, we provide a timely overview of the complex, but intriguing, molecular mechanisms that fine-tune the activity of DA1 and therefore final organ size. Moreover, we lay out a roadmap to identify and characterize substrates of proteases and frame the substrate cleavage events in their biological context.

Satellite-Derived Protein Concentration of Phytoplankton in the Southwestern East/Japan Sea

The cellular macromolecular contents and energy value of phytoplankton as primary food source determine the growth of higher trophic levels, affecting the balance and sustainability of oceanic food webs. Especially, proteins are more directly linked with basic functions of phytoplankton biosynthesis and cell division and transferred through the food chains. In recent years, the East/Japan Sea (EJS) has been changed dramatically in environmental conditions, such as physical and chemical characteristics, as well as biological properties. Therefore, developing an algorithm to estimate the protein concentration of phytoplankton and monitor their spatiotemporal variations on a broad scale would be invaluable. To derive the protein concentration of phytoplankton in EJS, the new regional algorithm was developed by using multiple linear regression analyses based on field-measured data which were obtained from 2012 to 2018 in the southwestern EJS. The major factors for the protein concentration were identified as chlorophyll-a (Chl-a) and sea surface nitrate (SSN) in the southwestern EJS. The coefficient of determination (r2) between field-measured and algorithm-derived protein concentrations was 0.55, which is rather low but reliable. The satellite-derived estimation generally follows the 1:1 line with the field-measured data, with Pearson’s correlation coefficient, which was 0.40 (p-value &lt; 0.01, n = 135). No remarkable trend in the long-term annual protein concentration of phytoplankton was found in the study area during our observation period. However, some seasonal difference was observed in winter protein concentration between the 2003–2005 and 2017–2019 periods. The algorithm is developed for the regional East/Japan Sea (EJS) and could contribute to long-term monitoring for climate-associated ecosystem changes. For a better understanding of spatiotemporal variation in the protein concentration of phytoplankton in the EJS, this algorithm should be further improved with continuous field surveys.

The effect of copepod enriched-vegetable based diet on Giant Tiger Prawn (Penaeus monodon) post-larvae

Plankton is the primary food sources for many fish larvae as well as other organisms during their early stage of development. Zooplankton such as copepods play a major role in freshwater and marine environment as live food that offer great variety of sizes, species and nutritional value to the larvae. The aim of this study is to increase the nutritional value of copepod and its effect on Penaeus monodon post-larvae growth performance. The experiment was carried out 30 days and comprised with four different treatments of diets. The diets fed to copepod consisted of algal diet which is Tetraselmis sp. that acted as a control followed by three types of vegetable-based diet which is carrot, water spinach, and lettuce. The efficiency of the copepods enriched was further evaluate on its growth, survival and proximate composition. The outcome of the study showed that highest specific growth rate (SGR) in P.monodon post-larvae was obtained when fed with copepods enriched water spinach (11.28±0.38%) and the highest survival rate of P.monodon was obtained when being fed with copepods enriched Tetraselmis sp. (91.67±0.29%). Proximate analysis composition for enriched copepods and P.monodon fed with enriched copepods showed the water spinach produce highest protein and lipid content compared to other enrichment. The current result showed that vegetable based are able to replace the microalgae, hence it also can gave an advantages to the economy in aquaculture and higher yields.

Different Biochemical Compositions of Particulate Organic Matter Driven by Major Phytoplankton Communities in the Northwestern Ross Sea.

Marine particulate organic matter (POM) largely derived from phytoplankton is a primary food source for upper trophic consumers. Their biochemical compositions are important for heterotrophs. Especially, essential amino acids (EAAs) in phytoplankton are well known to have impacts on the survival and egg productions of herbivorous zooplankton. To estimate the nutritional quality of POM, the biochemical compositions [biomolecular and amino acid (AA) compositions] of POM were investigated in the northwestern Ross Sea during the late austral summer in 2018. Carbohydrates (CHO) accounted for the highest portion among different biomolecules [CHO, proteins (PRT), and lipids (LIP)] of POM. However, the higher contribution of PRT and lower contribution of CHO were observed in the southern section of our study area compared to those in the northern section. The spatial distribution of total hydrolyzable AAs in POM was considerably influenced by phytoplankton biomass, which indicates that the main source of particulate AA was generated by phytoplankton. Our results showed that the relative contribution of EAA to the total AAs was strongly associated with EAA index (EAAI) for determining protein quality. This result indicates that higher EAA contribution in POM suggests a better protein quality in consistency with high EAAI values. In this study, variations in the biochemical compositions in POM were principally determined by two different bloom-forming taxa (diatoms and Phaeocystis antarctica). The southern region dominated majorly by diatoms was positively correlated with PRT, EAA, and EAAI indicating a good protein quality, while P. antarctica-abundant northern region with higher CHO contribution was negatively correlated with good protein quality factors. Climate-driven environmental changes could alter not only the phytoplankton community but also the physiological conditions of phytoplankton. Our findings could provide a better understanding for future climate-induced changes in the biochemical compositions of phytoplankton and consequently their potential impacts on higher trophic levels.