Conjoint Analysis Research Articles

An application of choice-based conjoint analysis to measure willingness to pay for casino buffets

PurposeThe purpose of this study is to discover what attributes of casino buffet restaurants are the most important for customers’ willingness to pay (WTP).Design/methodology/approachChoice-based conjoint analysis was used in this study to test seven attributes: food, price/value, real price, service, atmosphere, the number of reviews and user-generated star ratings. Sawtooth Software was used to do the conjoint analysis, and a series of significance t-tests were run to determine the significance of each attribute on WTP with Statistical Package for the Social Sciences (SPSS).FindingsBased on a survey of 483 respondents who had visited a buffet at a casino within the last two years, this study found that food is ranked as the most significant attribute of a casino buffet restaurant, followed by real price and service quality.Originality/valueTheoretically, this work is the first to the authors’ knowledge to apply the antecedents of behavioral intention to willingness-to-pay for niche restaurants. Practically, the results of this study will help casino buffet operators as they re-open after COVID-19. Future studies could collect data in the post-pandemic environment and examine WTP at casino buffets in different geographic locations.

Who prefers what? Correlates of preferences for next-generation HIV prevention products among a national U.S. sample of young men who have sex with men.

Pre-exposure prophylaxis (PrEP) has been available for young people for over a decade, yet only ∼15% of young people in the United States with indications for PrEP have a prescription for it. Next-generation PrEP modalities may address some of the challenges of daily oral PrEP. However, preferences for these products are unknown. From October 2020 to June 2021, we conducted an online survey of 737 cisgender, young men who have sex with men (age 15-24 years) without HIV across the United States who reported same-sex attraction or consensual sex with another man in the past 6 months. Participants completed a conjoint experiment comparing daily oral pills, event-driven oral pills, event-driven rectal douches, intramuscular injections, intravenous broadly neutralizing antibody (bnAb) infusions and subcutaneous implants. Participants ranked the products from most to least preferred. Exploded logit models examined the association between ranked preferences of PrEP modalities and socio-demographic and behavioural characteristics. Participants' mean age was 21 years (SD = 2.3), and 56% identified as White. Nineteen percent were currently taking daily oral PrEP, and another 9% had previously taken it. Participants prioritized efficacy, absence of side effects and costs in the conjoint analyses. Daily oral PrEP had the highest preference ranking, followed by event-driven oral (OR = 0.89, p = 0.058), injectable (OR = 0.83, p = 0.005), implant (OR = 0.48, p < 0.0001), bnAb infusions (OR = 0.38, p < 0.0001) and rectal douches (OR = 0.24, p < 0.0001). There were differences in PrEP preferences across age, insurance status, sexual behaviour, PrEP use history, HIV and sexually transmitted infection (STI) testing history, and STI diagnoses (omnibus tests: p < 0.05). Participants also provided reasons for selecting their top product choice: ease of use for those who chose daily oral (99%) and daily event-driven (98.5%); feel more protected against HIV for those who chose injectable (95.4%) and implants (100%); not worrying about forgetting to take it for those who chose bnAbs (93.8%); and being able to stop taking it when they want for those who chose rectal douche (90.9%). Next-generation modalities were less likely to be preferred over daily oral PrEP, with differences in the magnitude by socio-demographic and behavioural characteristics. Given the low uptake of daily oral PrEP, end-users' preferences for and concerns about PrEP products must be understood to ensure high acceptability and penetration.

Bureaucracy and policymaking: Evidence from a choice-based conjoint analysis

Bureaucrats are a fundamental part of the functioning of the modern state and democracies. However, there is still much disagreement about the ideal profile of bureaucrats to deliver quality and responsive policies. Bureaucrats can be meritocratically recruited or politically appointed, creating the dilemma between autonomy and accountability. This article explores this dilemma, identifying the profile of bureaucrats perceived as having the best performance in the different policymaking dimensions. The study explored the form of recruitment, the level of experience, and the bureaucrat’s gender as characteristics of interest. Using data from an original survey with high-ranking bureaucrats in Brazil, we implement conjoint analysis to identify the most valued profile. The results indicate that the bureaucrat recruited through the merit system is more valued in the dimensions of “transparency,” “evidence,” “political coordination,” and “general preference of respondents.” This result is independent of the bureaucrat’s experience, so the effect is related to the recruitment form. However, the politically appointed bureaucrat is more valued in the dimension of “effort.” Gender did not generate significant effects. The article brings experimental evidence to increase understanding of how bureaucratic autonomy and accountability connect to deliver better government performance.

Employees' preference analysis on lean six sigma program coaching attributes using a conjoint analysis approach

The purpose of this study was to determine the preference of employees for Lean Six Sigma project coaching attributes. Conjoint analysis with an orthogonal design was utilized and six attributes were considered: coaching style, frequency of coaching sessions, duration of coaching sessions, the turn-around time of feedback, documentation review, and mock defense. In addition, 4 different projects were also evaluated: Quick Win project, Yellow Belt project, Green Belt project, and Black Belt project. The results showed that for Quick Win projects, employees consider conducting a mock defense as the highest preference, followed by having a documentation review, and a democratic coaching style. For Yellow Belt projects, employees considered conducting a mock defense as the highest preference, followed by having a documentation review, and a weekly coaching session. For Green Belt projects, employees consider having a documentation review as the highest preference, followed by a transactional coaching style, and conducting a mock defense. Lastly, for Black Belt projects, employees consider having a documentation review as the highest preference, followed by conducting a mock defense, and a 1-week turn-around time for feedback. The results of this study will help companies to implement and to sustain better employee-oriented LSS programs.

Analisis Preferensi Konsumen Pada Gula Kelapa Di Kecamatan Way Jepara Kabupaten Lampung Timur (Studi Kasus Di Pasar Way Jepara)

Sugar is one of the national strategic food commodities. National demand for sugar will increase in line with the increase in population, people's income and the growth of the food and beverage processing industry. Palm sugar is sugar made from coconut sap through the process of filtering coconut sap water, heating it and then molding it.The purpose of this study is to determine consumer preferences for palm sugar products and the attributes most preferred by consumers. The method used is survey method. Purposive location etermination. Respondents were determined by simple random sampling. Data analysis using Conjoint Analysis. The results of research on consumer preferences are that they prefer the color of palm sugar to dark brown-black, the taste of sugar is very sweet, the size of palm sugar is large, the packaging of leaves and the price is not too high or expensive.

Cast or Nail? Using a Preference-Based Tool for Shared Decision-Making in Pediatric Femoral Shaft Fracture Treatment.

Femoral shaft fractures are common injuries in children 2 to 7 years of age, with treatments ranging from casting to flexible intramedullary nails (FIN). Each treatment has unique attributes and outcomes are overall similar. Given equivalent outcomes, we hypothesized that a shared decision-making process, using adaptive conjoint analysis (ACA), can be used to assess individual family situations to determine ultimate treatment choice. An interactive survey incorporating an ACA exercise to elicit the preferences of individuals was created. Amazon Mechanical Turk was used to recruit survey respondents simulating the at-risk population. Basic demographic information and family characteristics were collected. Sawtooth Software was utilized to generate relative importance values of five treatment attributes and determine subjects' ultimate treatment choice. Student's t-test or Wilcoxon rank sum test was used to compare relative importance between groups. The final analysis included 186 subjects with 147 (79%) choosing casting as their ultimate treatment choice, while 39 (21%) chose FIN. Need for second surgery had the highest overall average relative importance (42.0), followed by a chance of serious complications (24.6), time away from school (12.9), effort required by caregivers (11.0), and return to activities (9.6). Most respondents (85%) indicated the generated relative importance of attributes aligned "very well or well" with their preferences. For those who chose casting instead of FIN, the need for secondary surgery (43.9 vs. 34.8, P <0.001) and the chance of serious complications (25.9 vs. 19.6, P <0.001) were the most important factors. In addition, returning to activities, the burden to caregivers, and time away from school were all significantly more important to those choosing surgery versus casting (12.6 vs. 8.7 P <0.001, 12.6 vs. 9.8 P =0.014, 16.6 vs. 11.7 P <0.001, respectively). Our decision-making tool accurately identified subjects' treatment preferences and appropriately aligned them with a treatment decision. Given the increased emphasis on shared decision-making in health care, this tool may have the potential to improve shared decision-making and family understanding, leading to improved satisfaction rates and overall outcomes. Level-III.

Consumer Evaluation of Agricultural Products Produced in Areas Affected by Natural Disasters: A Case Study of Damaged Apples in Japan.

This study examines how consumers perceive agricultural products affected by natural disasters, using apples in Japan as a case study. Typhoons and other natural disasters frequently damage the surface of apples during the production season, causing significant harm to farmers' businesses, particularly when a large typhoon hits the production area. To maintain the sustainability of agricultural production, consumers need to purchase damaged crops at a certain price. To assess the effect of product attributes, such as appearance and price, and personal attributes of respondents, we conducted a choice-based conjoint analysis using a mixed logit model. The estimated results using the main effect and cross-section models show that consumers generally devalue apples when they have scratches. However, by using consumer co-operatives on a daily basis and disseminating simple information about the relationship between scratches and natural disasters, we could mitigate this devaluation tendency and thus contribute to sustainable agricultural production.

What Is the Possibility of Commercializing African Indigenous Crops?—The Case of Ethiopia

Africa has a rich diversity of indigenous crops whose commercial and economic value have been underutilized. Eragrostis tef is a crop with great potential for production and commercialization in Ethiopia. The nutritional and curative values of tef are recognized not only in Ethiopia but also in the global market. Economically, tef and its value chain are a source of livelihood for more than six million small-scale Ethiopian farmers. Its large-scale commercialization has the potential to transform the livelihoods of many impoverished people. However, little research has been conducted to assess Ethiopian consumers’ attitudes toward tef products. The objective of this study is to understand product attributes that would affect consumer purchasing decisions. The study is based on pasta and baby food, the two most important products that could be made out of tef. The attributes analyzed are the inclusion of tef in the products, price, organic certification, and brand origin. The study relies on survey data that were randomly collected from 318 respondents and secondary data from the central statistical agency. The attributes were subjected to conjoint analysis, a method that is commonly used in consumer market research with hypothetical products consisting of multiple attributes to understand customers’ preference for different components of the product. The results of the analysis show that the inclusion of tef flour in the products is the most important factor consumers would consider when buying pasta or baby food. Further, consumers are interested in brand origin as they have a strong inclination to buy domestic brands and prefer products with organic certification. In the case of baby food, Ethiopians are likely to buy products containing more tef flour, packaged in sealed can rather than a paper bag, and concentrated in iron or protein. However, they are less willing to pay a premium even for products they perceive to be of greater utility. The preference for domestic brands and processed food with tef implies that there is opportunity for local brands to grow if they can understand and satisfy consumer expectations. It also means that consumers are interested in business practices that promote sustainable livelihoods. Overall, these findings suggest the potential for commercialization of tef products in Ethiopia and that the development of its value chain could combat nutritional deficiencies in the country.

Multimodal preference heterogeneity in choice-based conjoint analysis: a simulation study

The most commonly used variant of conjoint analysis is choice-based conjoint (CBC). Here, hierarchical Bayesian (HB) multinomial logit (MNL) models are widely used for preference estimation at the individual respondent level. A new and very flexible approach to address multimodal and skewed preference heterogeneity in the context of CBC is the Dirichlet Process Mixture (DPM) MNL model. The number and masses of components do not have to be predisposed like in the latent class (LC) MNL model or in the mixture-of-normals (MoN) MNL model. The aim of this Monte Carlo study is to evaluate the performance of Bayesian choice models (basic MNL, HB-MNL, MoN-MNL, LC-MNL and DPM-MNL models) under varying data conditions (especially under multimodal heterogeneity structures) using statistical criteria for parameter recovery, goodness-of-fit and predictive accuracy. The core finding from this Monte Carlo study is that the standard HB-MNL model appears to be highly robust in multimodal preference settings.

Evaluating The Consumer Preference of UHT Ultra Milk Flavor: Evidence from Generation Z Consumers

The existence of different characteristics in each generation encourage producers to stay updated on consumer preferences. This study aimed to analyze the characteristics and preferences of Generation Z consumers for UHT Ultra Milk Flavor. The research was conducted in August – November 2022 using a case study. The sampling method was a purposive sampling of 150 respondents, aged 18-22 years who had consumed Ultra Milk Flavor and purchased at least once in the last week, with pocket money. Data was collected online using Google Forms and then analyzed by descriptive analysis and conjoint analysis. The results showed that Generation Z consumers were dominated by women and the majority of students aged 20 years, with income levels ranging from &gt;IDR 500.000 to IDR 1.000.000, and aware of drinking milk. The type of milk consumed the most is UHT milk with a frequency of purchase of once a week at a minimarket, and is familiar with the use of social media. Overall, the preference for UHT Ultra Milk Flavor is chocolate with 250 ml packaging, price of ≤IDR 5.000 with the most prioritized taste attribute. These findings suggest that milk producers can maintain, improve, and innovate flavors.

Democratic commitment in the Middle East: a conjoint analysis

AbstractPolls from the Middle East/North Africa show high support for democracy. However, the veracity of this support has been called into question. This study uses a conjoint analysis to show that citizens support democratic institutions, as well as favoring an effective welfare state and a state religion. The results demonstrate that support for elected governance is not contingent on the state's providing economic benefits; citizens are more likely to favor participatory government at each level of economic outcome. Interest in incorporating religion in the state, however, is contingent on the political and economic profile described; the contingent effects suggest interest in Islamic governance is, at least partly, instrumental. Although pro-democracy public opinion alone does not secure democratization, it creates fertile ground for future democratization movements.

Laryngeal cancer treatment decision making: A conjoint analysis of general public attitudes and priorities.

Patients with advanced laryngeal cancer are typically presented with divergent treatment options, namely chemoradiation versus total laryngectomy. This study aims to understand general perspectives of the factors involved in this decision-making process. Surveys were constructed using specialized conjoint analysis software. Seven attributes integral to the decision-making process for advanced laryngeal cancer treatment were included. Three hundred one healthy adult volunteers completed the decision-making program. The relative impact of each treatment attribute on decision making across all participants was scored with an average importance score (standard deviation) as follows: Lifespan 22.2% (±8.5), Voicing 21.4% (±5.9), Swallowing 19.1% (±7.3), Cancer Cure 14.9% (±6.2), Mode of Breathing 11.0% (±3.7), Self-Image 6.7% (±2.9), and Treatment Type 4.8% (±3.0). General public opinion ranked lifespan, voicing, and swallowing aspects as similarly important, and all were ranked more important than probability of cure. These data demonstrate a variety of priorities among participants and the need for tailored discussions when determining treatment choice for advanced laryngeal cancer. Level 4.

The Role of Emotions in Food-Related Decision-Making: A Choice-Based Conjoint Analysis of Yogurt Preferences

ABSTRACT A strong link between emotions and eating behavior has been previously found, however there is a lack of research investigating how emotions influence food product choice in a retail setting. An online questionnaire including a choice-based conjoint analysis and self-reported consumer emotions was used to assess the importance of different product attributes to yogurt consumers in Germany in 2021. The analysis consisted of a Hierarchical Bayes approach and a cluster analysis. The results revealed that yogurt consumers placed most importance on ingredients, followed by price, Nutri-Score, flavour, and finally production method. Based on the self-reported consumer emotions, a positive, a rather positive and an indifferent emotion cluster was found. The positive cluster preferred the highest quality in terms of ecological and health values and was willing to pay more for such a yogurt. The rather positive cluster preferred these options as well, however was not always willing to pay more for them. The indifferent cluster was more driven by lower prices and was more willing to trade other qualities for the cheapest option. These findings are insightful for food marketing and health interventions as shopping experience, as well as product choice could be enhanced through emotion induction.

N6-methyladenosine methylation mediates non-coding RNAs modification in microplastic-induced cardiac injury

Owing to their potential adverse health effects, global contamination by microplastics (MPs) has attracted increased scientific and societal concerns. However, in vivo studies on MP toxicity, along with its effects and underlying mechanisms, remain limited. We recently found that non-coding RNA (ncRNAs) contribute to MP-mediated vascular toxicity. Moreover, previous studies have identified N6-methyladenosine (m6A) modifications in ncRNAs as influencing factors in cardiovascular disease. However, whether and how m6A modifications in ncRNAs are affected by MP-induced cardiotoxicity remain unknown. Herein, we profiled differentially expressed ncRNAs and their related m6A modification profiles in MP-exposed myocardial tissue using RNA sequencing (RNA-seq) and methylated RNA immunoprecipitation sequencing (MeRIP-seq). First, we observed that MPs accumulated in different organs and upregulated apoptosis in the heart, liver, spleen, and kidney cells. Furthermore, total m6A and METTL3 levels increased in the myocardium after exposure to MPs. RNA-seq results revealed that 392 lncRNAs and 302 circRNAs were differentially expressed in MP-treated mouse myocardium compared to the control group. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses showed that these altered lncRNAs and circRNAs were closely associated with endocytosis, cellular senescence, and cell cycle signaling pathways, which may cause cardiotoxicity. Furthermore, MeRIP-seq data showed different distributions and abundances of m6A modifications in lncRNAs and circRNAs. Additionally, we identified differentially m6A methylated lncRNAs and circRNAs through conjoint analysis of the two high-throughput sequencing datasets and found that both m6A modifications and the expression of circ-Arfgef2 and lncG3bp2 were upregulated after exposure to MPs. This suggests that MP-induced m6A modifications in ncRNAs are involved in cardiotoxicity. Our findings contribute to a better understanding of MP-induced cardiotoxicity and new molecular targets for treating cardiac injury.

Comparative physiological, metabolomic, and transcriptomic analyses reveal mechanisms of apple dwarfing rootstock root morphogenesis under nitrogen and/or phosphorus deficient conditions.

Nitrogen (N) and phosphorus (P) are essential phytomacronutrients, and deficiencies in these two elements limit growth and yield in apple (Malus domestica Borkh.). The rootstock plays a key role in the nutrient uptake and environmental adaptation of apple. The objective of this study was to investigate the effects of N and/or P deficiency on hydroponically-grown dwarfing rootstock 'M9-T337' seedlings, particularly the roots, by performing an integrated physiological, transcriptomics-, and metabolomics-based analyses. Compared to N and P sufficiency, N and/or P deficiency inhibited aboveground growth, increased the partitioning of total N and total P in roots, enhanced the total number of tips, length, volume, and surface area of roots, and improved the root-to-shoot ratio. P and/or N deficiency inhibited influx into roots, and H+ pumps played a important role in the response to P and/or N deficiency. Conjoint analysis of differentially expressed genes and differentially accumulated metabolites in roots revealed that N and/or P deficiency altered the biosynthesis of cell wall components such as cellulose, hemicellulose, lignin, and pectin. The expression of MdEXPA4 and MdEXLB1, two cell wall expansin genes, were shown to be induced by N and/or P deficiency. Overexpression of MdEXPA4 enhanced root development and improved tolerance to N and/or P deficiency in transgenic Arabidopsis thaliana plants. In addition, overexpression of MdEXLB1 in transgenic Solanum lycopersicum seedlings increased the root surface area and promoted acquisition of N and P, thereby facilitating plant growth and adaptation to N and/or P deficiency. Collectively, these results provided a reference for improving root architecture in dwarfing rootstock and furthering our understanding of integration between N and P signaling pathways.

Identifying target customer needs for a Master’s Degree Program in Industrial Engineering by conjoint analysis and Kano model

Customer satisfaction has become a key factor in strategic work of many institutions towards the increasing competition regarding student recruitment. This paper presents a systematic approach to identify customer needs for a Master’s Degree Program in Industrial Engineering based on target students’ needs in the view of new product development. The approach consists of two methods: Choice-based conjoint analysis and Kano model. Conjoint analysis is used to explore important scores of each attribute of the program, i.e., specialist concentration, class period, research type, teaching language, teaching format, and tuition fee. Also, the popularity of levels in each attribute are identified. Latent class model is used to identify different clusters of target customers. The result indicates two different segments of different preferences. The heterogeneity of needs and preference is characterized mainly in levels of specialist concentration preference as well as other attributes such as tuition fee. Other attributes such as interdisciplinary, cooperate program, work experience requirement and group (with presence/absence option) are analyzed by Kano model to identify their categories, i.e., how important they are. This research contributes in the literature as a pioneer in applying these two methods to gain customer perception insights about new Master’s curriculum development for education industry.

Integrated transcriptome and proteome analysis reveals molecular responses of soybean anther under high-temperature stress.

It is well documented that high temperature (HT) severely affects the development of soybean male reproductive organs. However, the molecular mechanism of thermo-tolerance in soybean remains unclear. To explore the candidate genes and regulatory mechanism of soybean response to HT stress and flower development, here, the anthers of two previously identified HT-tolerant (JD21) and HT-sensitive (HD14) varieties were analyzed by RNA-seq. In total, 219 (172 upregulated and 47 downregulated), 660 (405 upregulated and 255 downregulated), and 4,854 (2,662 upregulated and 2,192 downregulated) differentially expressed genes (DEGs) were identified between JD21 anthers treated with HT stress vs. JD21 anthers in the natural field conditions (TJA vs. CJA), HD14 anthers treated with HT stress vs. HD14 anthers in the natural field conditions (THA vs. CHA), and JD21 vs. HD14 anthers treated with HT stress (TJA vs. THA), respectively. The results showed that there were more DEGs upregulated in JD21; this might be the reason why JD21 was more HT-resistant than the HT-sensitive variety HD14. GO annotation and KEGG enriched analysis showed that many DEGs are mainly involved in defense response, response to biological stimuli, auxin-activated signaling pathway, plant hormone signal transduction, MAPK signaling pathway-plant, starch and sucrose metabolism, etc. The conjoint analysis of RNA-seq and previous iTRAQ results found that there were 1, 24, and 54 common DEGs/DAPs showing the same expression pattern and 1, 2, and 13 common DEGs/DAPs showing the opposite pattern between TJA vs. CJA, THA vs. CHA, and TJA vs. THA at the protein and gene level, respectively, among which HSPs, transcription factor, GSTU, and other DEGs/DAPs participated in the response to HT stress and flower development. Notably, the qRT-PCR analysis and physiological index change results coincided with the sequencing results of RNA-seq and iTRAQ. In conclusion, the HT-tolerant cultivar performed better under stress than the HT-sensitive cultivar through modulation of HSP family proteins and transcription factors, and by keeping key metabolic pathways such as plant hormone signal transduction normal. This study provided important data and some key candidate genes to better study the effect and molecular basis of HT on anther in soybean at a transcription and translation level.

Estimation of Intangible Costs for Factors Associated with Oral Antiviral Drugs for COVID-19 Treatment: A Conjoint Analysis in Japan.

During the recent coronavirus disease 2019 (COVID-19) pandemic, preferences for factors associated with vaccines have been evaluated. Three oral antiviral drugs have been approved in Japan for patients with mild-to-moderate I COVID-19 symptoms. Although preferences for the drugs may also depend on various factors, these have not been fully evaluated. A conjoint analysis was performed based on an online survey in August 2022 to estimate the intangible costs of factors associated with oral antiviral drugs for COVID-19. Respondents were individuals aged 20-69 across Japan. The attributes included the company (Japanese/foreign) that developed the drug, formulation and size of the drug, frequency of administration per day, number of tablets/capsules per dose, number of days until no longer infectious to others, and out-of-pocket expenses. A logistic regression model was applied to estimate the utility of each level for each attribute. The intangible costs were calculated by comparing the utility to the out-of-pocket attribute. Responses were collected from 11,303 participants. The difference between levels was the largest for companies that developed a drug; the intangible costs were JPY 5390 higher for the foreign company than for the Japanese company. The next largest difference was in the number of days until one is no longer infectious. For the same formulation, the intangible cost was lower for small sizes than large sizes. For similar-sized tablets and capsules, the intangible cost was lower for tablets than capsules. These tendencies were similar regardless of COVID-19 infection history and the presence of risk factors for severe COVID-19 in the respondents. Intangible costs for factors associated with oral antiviral drugs among the Japanese population were estimated. The results may change as the number of people with a history of COVID-19 infection increases and significant progress is made regarding treatments.

Transcriptome-wide 5-methylcytosine modification profiling of long non-coding RNAs in A549 cells infected with H1N1 influenza A virus

BackgroundIn recent years, accumulating evidences have revealed that influenza A virus (IAV) infections induce significant differential expression of host long noncoding RNAs (lncRNAs), some of which play important roles in the regulation of virus-host interactions and determining the virus pathogenesis. However, whether these lncRNAs bear post-translational modifications and how their differential expression is regulated remain largely unknown. In this study, the transcriptome-wide 5-methylcytosine (m5C) modification of lncRNAs in A549 cells infected with an H1N1 influenza A virus was analyzed and compared with uninfected cells by Methylated RNA immunoprecipitation sequencing (MeRIP-Seq).ResultsOur data identified 1317 upregulated m5C peaks and 1667 downregulated peaks in the H1N1 infected group. Gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses showed that the differentially modified lncRNAs were associated with protein modification, organelle localization, nuclear export and other biological processes. Furthermore, conjoint analysis of the differentially modified (DM) and differentially expressed (DE) lncRNAs identified 143 ‘hyper-up’, 81 ‘hypo-up’, 6 ‘hypo-down’ and 4 ‘hyper-down’ lncRNAs. GO and KEGG analyses revealed that these DM and DE lncRNAs were predominantly associated with pathogen recognition and disease pathogenesis pathways, indicating that m5C modifications could play an important role in the regulation of host response to IAV replication by modulating the expression and/or stability of lncRNAs.ConclusionThis study presented the first m5C modification profile of lncRNAs in A549 cells infected with IAV and demonstrated a significant alteration of m5C modifications on host lncRNAs upon IAV infection. These data could give a reference to future researches on the roles of m5C methylation in virus infection.

Joint QTL Mapping and Transcriptome Sequencing Analysis Reveal Candidate Seed-Shattering-Related Genes in Common Buckwheat.

Common buckwheat (Fagopyrum esculentum M.) is an important traditional miscellaneous grain crop. However, seed-shattering is a significant problem in common buckwheat. To investigate the genetic architecture and genetic regulation of seed-shattering in common buckwheat, we constructed a genetic linkage map using the F2 population of Gr (green-flower mutant and shattering resistance) and UD (white flower and susceptible to shattering), which included eight linkage groups with 174 loci, and detected seven QTLs of pedicel strength. RNA-seq analysis of pedicel in two parents revealed 214 differentially expressed genes DEGs that play roles in phenylpropanoid biosynthesis, vitamin B6 metabolism, and flavonoid biosynthesis. Weighted gene co-expression network analysis (WGCNA) was performed and screened out 19 core hub genes. Untargeted GC-MS analysis detected 138 different metabolites and conjoint analysis screened out 11 DEGs, which were significantly associated with differential metabolites. Furthermore, we identified 43 genes in the QTLs, of which six genes had high expression levels in the pedicel of common buckwheat. Finally, 21 candidate genes were screened out based on the above analysis and gene function. Our results provided additional knowledge for the identification and functions of causal candidate genes responsible for the variation in seed-shattering and would be an invaluable resource for the genetic dissection of common buckwheat resistance-shattering molecular breeding.