Transcriptomics and gut microbiome analysis of the edible herb Bidens pilosa as a functional feed additive to promote growth and metabolism in tilapia (Oreochromis spp.).

To reduce the use of antibiotics and chemicals in aquaculture, an edible herb, Bidens pilosa, has been selected as a multifunctional feed additive. Although there has been considerable research into the effects of B. pilosa on poultry, the wider effects of B. pilosa, particularly on the growth and gut microbiota of fish, remain largely unexplored. We aimed to investigate the interactive effects between the host on growth and the gut microbiota using transcriptomics and the gut microbiota in B. pilosa-fed tilapia. In this study, we added 0.5% and 1% B. pilosa to the diet and observed that the growth performance of tilapia significantly increased over 8 weeks of feeding. Comparative transcriptome analysis was performed on RNA sequence profiles obtained from liver and muscle tissues. Functional enrichment analysis revealed that B. pilosa regulates several pathways and genes involved in amino acid metabolism, lipid metabolism, carbohydrate metabolism, endocrine system, signal transduction, and metabolism of other amino acids. The expression of the selected growth-associated genes was validated by qRT-PCR. The qRT-PCR results indicated that B. pilosa may enhance growth performance by activating the expression of the liver igf1 and muscle igf1rb genes and inhibiting the expression of the muscle negative regulator mstnb. Both the enhancement of liver endocrine IGF1/IGF1Rb signaling and the suppression of muscle autocrine/paracrine MSTN signaling induced the expression of myogenic regulatory factors (MRFs), myod1, myog and mrf4 in muscle to promote muscle growth in tilapia. The predicted function of the gut microbiota showed several significantly different pathways that overlapped with the KEGG enrichment results of differentially expressed genes in the liver transcriptomes. This finding suggested that the gut microbiota may influence liver metabolism through the gut-liver axis in B. pilosa-fed tilapia. In conclusion, dietary B. pilosa can regulate endocrine IGF1 signaling and autocrine/paracrine MSTN signaling to activate the expression of MRFs to promote muscle growth and alter the composition of gut bacteria, which can then affect liver amino acid metabolism, carbohydrate metabolism, endocrine system, lipid metabolism, metabolism of other amino acids, and signal transduction in the host, ultimately enhancing growth performance. Our results suggest that B. pilosa has the potential to be a functional additive that can be used as an alternative to reduce antibiotic use as a growth promoter in aquaculture.

Transcriptomic Insights and the Development of Microsatellite Markers to Assess Genetic Diversity in the Broodstock Management of Litopenaeus stylirostris.

The Pacific blue shrimp (Litopenaeus stylirostris) is a premium product in the international seafood market. However, intensified farming has increased disease incidence and reduced genetic diversity. In this study, we developed a transcriptome database for L. stylirostris and mined microsatellite markers to analyze their genetic diversity. Using the Illumina HiSeq 4000 platform, we identified 53,263 unigenes from muscle, hepatopancreas, the intestine, and lymphoid tissues. Microsatellite analysis identified 36,415 markers from 18,657 unigenes, predominantly dinucleotide repeats. Functional annotation highlighted key disease resistance pathways and enriched categories. The screening and PCR testing of 42 transcriptome-based and 58 literature-based markers identified 40 with successful amplification. The genotyping of 200 broodstock samples revealed that Na, Ho, He, PIC, and FIS values were 3, 0.54 ± 0.05, 0.43 ± 0.09, 0.41 ± 0.22, and 0.17 ± 0.27, respectively, indicating moderate genetic variability and significant inbreeding. Four universal microsatellite markers (CL1472.Contig13, CL517.Contig2, Unigene5692, and Unigene7147) were identified for precise diversity analysis in Pacific blue, Pacific white (Litopenaeus vannamei), and black tiger shrimps (Penaeus monodon). The transcriptome database supports the development of markers and functional gene analysis for selective breeding programs. Our findings underscore the need for an appropriate genetic management system to mitigate inbreeding depression, reduce disease susceptibility, and preserve genetic diversity in farmed shrimp populations.

Establishing an astaxanthin-rich live feed strain of Pseudodiaptomus annandalei.

This study aimed to establish an astaxanthin-rich strain of the calanoid copepod Pseudodiaptomus annandalei, through selective breeding based on RGB (red, green and blue) value, a parameter indicating color intensity. We evaluated the RGB value frequency distributions of the copepod populations, and selected individuals with the highest 10% and the lowest 10% RGB value over six generations. The RGB value, nauplii production, clutch interval and clutch number were assessed, and the genetic gain was calculated across generations (G0-G5). Two strains of copepods were selected and defined as dark body copepod strain (DBS) and light body copepod strain (LBS) at the end of experiment. Results revealed significantly lower RGB values (male: 121.5 ± 14.1; female: 108.8 ± 15) in the G5 DBS population compared to the G0 (male: 163.9 ± 13.1; female: 162.2 ± 14.6), with higher genetic gains of RGB values during G0 to G2. While DBS females exhibited longer clutch intervals in the G3 and G4, there was no significant difference in nauplii production between the two strains across all generations. Significantly higher astaxanthin content was found in the DBS copepods (0.04 µg/ ind.) compared to the LBS copepods (0.01 µg/ ind.) and the non-selective copepods (0.02 µg/ ind.) 20 months post selective breeding, validating the stability of the desired trait in the DBS strain. This study successfully established an astaxanthin-rich strain of P. annandalei, which provides implications for enhancing marine and brackish larviculture production.

Anomalous behavior recognition of underwater creatures using lite 3D full-convolution network.

Global warming and pollution could lead to the destruction of marine habitats and loss of species. The anomalous behavior of underwater creatures can be used as a biometer for assessing the health status of our ocean. Advances in behavior recognition have been driven by the active application of deep learning methods, yet many of them render superior accuracy at the cost of high computational complexity and slow inference. This paper presents a real-time anomalous behavior recognition approach that incorporates a lightweight deep learning model (Lite3D), object detection, and multitarget tracking. Lite3D is characterized in threefold: (1) image frames contain only regions of interest (ROI) generated by an object detector; (2) no fully connected layers are needed, the prediction head itself is a flatten layer of 1 × [Formula: see text] @ 1× 1, [Formula: see text]= number of categories; (3) all the convolution kernels are 3D, except the first layer degenerated to 2D. Through the tracking, a sequence of ROI-only frames is subjected to 3D convolutions for stacked feature extraction. Compared to other 3D models, Lite3D is 50 times smaller in size and 57 times lighter in terms of trainable parameters and can achieve 99% of F1-score. Lite3D is ideal for mounting on ROV or AUV to perform real-time edge computing.

Maintenance of Genetic Diversity of Black Sea Bream despite Unmonitored and Large-Scale Hatchery Releases.

Stock enhancement, used for replenishing depleted wild finfish populations, is an aggressive approach. Stock enhancement projects in Taiwan involve black sea bream (Acanthopagrus schlegelii), a major commercial species. During 2004-2015, even management agencies conducted stock enhancement projects, leading to numerous private releases that have not been recorded. Stock enhancement by a private hatchery without accurate genetic records may lead to a genetic structure change in wild populations. Using allele frequencies at nine microsatellite loci, we studied the genetic effects of stock enhancement in 19 samples collected from populations in the hatcheries and the wild. In 458 individuals from nine hatchery samples, most populations showed weak but significant genetic differences and complex clusters in structure analysis, indicating dramatic stock change within and among hatcheries. The 10 wild populations (n = 773) also had a complex genetic composition and were genetically different among sampling sites and times. However, a simple and clear cluster in structure analysis was found for only one sampling site, which had no release history. Thus, stock enhancement with complex genetic sources helps maintain genetic diversity but dramatically changes the genetic structure within and among wild populations, especially when stock enhancement is successful.

Identification of Genes Related to Cold Tolerance and Novel Genetic Markers for Molecular Breeding in Taiwan Tilapia (Oreochromis spp.) via Transcriptome Analysis.

Taiwan tilapia is one of the primary species used in aquaculture practices in Taiwan. However, as a tropical fish, it is sensitive to cold temperatures that can lead to high mortality rates during winter months. Genetic and broodstock management strategies using marker-assisted selection and breeding are the best tools currently available to improve seed varieties for tilapia species. The purpose of this study was to develop molecular markers for cold stress-related genes using digital gene expression analysis of next-generation transcriptome sequencing in Taiwan tilapia (Oreochromis spp.). We constructed and sequenced cDNA libraries from the brain, gill, liver, and muscle tissues of cold-tolerance (CT) and cold-sensitivity (CS) strains. Approximately 35,214,833,100 nucleotides of raw sequencing reads were generated, and these were assembled into 128,147 unigenes possessing a total length of 185,382,926 bp and an average length of 1446 bp. A total of 25,844 unigenes were annotated using five protein databases and Venny analysis, and 38,377 simple sequence repeats (SSRs) and 65,527 single nucleotide polymorphisms (SNPs) were identified. Furthermore, from the 38-cold tolerance-related genes that were identified using differential gene expression analysis in the four tissues, 13 microsatellites and 37 single nucleotide polymorphism markers were identified. The results of the genotype analysis revealed that the selected markers could be used for population genetics. In addition to the diversity assessment, one of the SNP markers was determined to be significantly related to cold-tolerance traits and could be used as a molecular marker to assist in the selection and verification of cold-tolerant populations. The specific genetic markers explored in this study can be used for the identification of genetic polymorphisms and cold tolerance traits in Taiwan tilapia, and they can also be used to further explore the physiological and biochemical molecular regulation pathways of fish that are involved in their tolerance to environmental temperature stress.

Characterization and phylogenetic analysis of the complete mitochondrial genome of Mytella strigata (Hanley 1843) (Bivalvia: Mytiloida: Mytilidae).

We sequenced and assembled the complete mitochondrial genome (mitogenome) sequence of the American brackish water mussel Mytella strigata. The mitogenome, reaching 16,302 bp in length, includes 13 protein-coding genes, 2 ribosomal RNA genes, and 23 transfer RNA genes. The overall nucleotide composition of mitogenome was 25.17% A, 41.86% T, 11.83% C, and 21.13% G. The most common start and stop codons were GTG and TAA, respectively. The phylogenetic analysis based on mitogenomes showed that the families Mytilidae, Ostreidae, and Veneridae are a monophyletic group. The phylogenetic position of M. strigata is sister to P. canaliculus and P. viridis. In this study, mitogenomic sequence data will provide a better understanding for future studies of population genetics, biogeography, and pest surveillance of M. strigata.

The complete mitochondrial genome of Metasepia tullbergi (Cephalopoda: Sepiidae).

The first complete mitochondrial genome of Metasepia tullbergi has been characterized in this study. The circular mitogenome is 16182 bp in length and comprises 13 protein-coding genes (PCGs), 22 transfer RNA genes, and two ribosomal RNA genes. The organization of these genes is highly consistent with that of other Sepiidae. The overall base composition of mitogenome is 39.20% A, 36.07% T, 8.98% G, and 15.75% C, with 75.27% AT. Phylogenetic analysis further suggests that M. tullbergi is placed within the Sepiidae and is closely related to Sepia latimanus and S. apama.

The complete mitochondrial genome of Laevistrombus canarium (Gastropoda: Stromboidae).

Laevistrombus canarium is a marine gastropod species with high economical value. The complete mitochondrial genome of L. canarium has been characterized in this study. The circular mitogenome is 15626 bp in length and comprises 13 protein-coding genes (PCGs), 22 transfer RNA genes, and two ribosomal RNA (rRNA) genes. The organization of these genes is consistent with that of other stromboidae species. The overall base composition of mitochondrial genome is 30.87% A, 38.99% T, 15.54% G, and 14.60% C, with 69.86% AT. Phylogenetic analysis further implies that L. canarium is placed within the Stromboidae.

Development of EST-Molecular Markers from RNA Sequencing for Genetic Management and Identification of Growth Traits in Potato Grouper (Epinephelus tukula).

The accuracy and efficiency of marker-assisted selection (MAS) has been proven for economically critical aquaculture species. The potato grouper (Epinephelus tukula), a novel cultured grouper species in Taiwan, shows large potential in aquaculture because of its fast growth rate among other groupers. Because of the lack of genetic information for the potato grouper, the first transcriptome and expressed sequence tag (EST)-derived simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers were developed. Initially, the transcriptome was obtained from seven cDNA libraries by using the Illumina platform. De novo transcriptome of the potato grouper yielded 51.34 Gb and 111,490 unigenes. The EST-derived SSR and SNP markers were applied in genetic management, in parentage analysis, and to discover the functional markers of economic traits. The F1 juveniles were identified as siblings from one pair of parents (80 broodstocks). Fast- and slow-growth individuals were analyzed using functional molecular markers and through their association with growth performance. The results revealed that two SNPs were correlated with growth traits. The transcriptome database obtained in this study and its derived SSR and SNP markers may be applied not only for MAS but also to maintain functional gene diversity in the novel cultured grouper.

Development of Disease-Resistance-Associated Microsatellite DNA Markers for Selective Breeding of Tilapia (Oreochromis spp.) Farmed in Taiwan.

There are numerous means to improve the tilapia aquaculture industry, and one is to develop disease resistance through selective breeding using molecular markers. In this study, 11 disease-resistance-associated microsatellite markers including 3 markers linked to hamp2, 4 linked to hamp1, 1 linked to pgrn2, 2 linked to pgrn1, and 1 linked to piscidin 4 (TP4) genes were established for tilapia strains farmed in Taiwan after challenge with Streptococcus inae. The correlation analysis of genotypes and survival revealed a total of 55 genotypes related to survival by the chi-square and Z-test. Although fewer markers were found in B and N2 strains compared with A strain, they performed well in terms of disease resistance. It suggested that this may be due to the low potency of some genotypes and the combinatorial arrangement between them. Therefore, a predictive model was built by the genotypes of the parental generation and the mortality rate of different combinations was calculated. The results show the same trend of predicted mortality in the offspring of three new disease-resistant strains as in the challenge experiment. The present findings is a nonkilling method without requiring the selection by challenge with bacteria or viruses and might increase the possibility of utilization of selective breeding using SSR markers in farms.

Identification of Functional SSR Markers in Freshwater Ornamental Shrimps Neocaridina denticulata Using Transcriptome Sequencing.

The amazing colors and patterns are fascinating characteristics in all of the aquarium species. However, genetic and breeding molecular investigations of ornamental shrimps are rather limited. Here, we present the first transcriptomic analysis and application of microsatellites based on the chromatophore-encoded genes of Neocaridina denticulata to assist freshwater ornamental shrimp germplasm enhancement and its extensive applications. A total of 65,402 unigenes were annotated, and 4706 differentially expressed genes were screened and identified between super red shrimp and chocolate shrimp strains. Several gene ratios were examined to put in perspective possible genetic markers for the different strains of normal pigmentation development, including flotillin-2-like, keratin, the G protein-coupled receptor Mth2-like, annexin A7, and unconventional myosin-IXb-like. Five simple sequence repeat markers were effective for colored shrimps and were used to develop a marker-assisted selection platform for systematic breeding management program to maintain genetic diversity of the species. These markers could also be used to assist the identification of pure strains and increase the genetic stability of ornamental shrimp color phenotypes. Consequently, our results of microsatellite marker development are valuable for assisting shrimp genetic and selection breeding studies on freshwater ornamental shrimp and related crystal shrimp species.

The complete mitochondrial genome of Meretrix lusoria (Bivalvia: Veneroida: Veneridae) from Kumamoto, Japan.

We sequenced and assembled the complete mitochondrial genome sequence of the Meretrix lusoria, from Kumamoto, Japan. The length of mitogenome is 20,180 bp, including 13 protein-coding genes, two ribosomal RNA genes, and 22 transfer RNA genes. The nucleotide composition of the mitogenome was 25.73% for A, 42.41% for T, 9.35% for C, and 22.49% for G. The AT and GC skewness of mitogenome sequence are -0.245 and 0.412, showing the T-skew and G-skew. The reconstructed phylogenetic relationships of 25 Bivalvia species based on 12 protein-coding genes were highly supported and the clade of all Meretrix clams included had a support value of 99%. Our results shall provide a better understanding in the evolutionary histories of the Veneroida and relative species.

Complete Genome Sequence of Streptococcus iniae 89353, a Virulent Strain Isolated from Diseased Tilapia in Taiwan.

Streptococcus iniae 89353 is a virulent strain isolated from diseased tilapia in Taiwan. The full-genome sequence of S. iniae 89353 is 2,098,647 bp. The revealed genome information will be beneficial for identification and understanding of potential virulence genes of Streptococcus iniae and possible immunogens for vaccine development against streptococcosis.

Various predictors of sustained virologic response in different age groups of patients with genotype-1 chronic hepatitis C.

BACKGROUND: Age is one of the sustained virologic response (SVR) predictors for genotype-1 chronic hepatitis C patients treated with pegylated interferon-α/ribavirin. However, variation of SVR predictors in different age groups was not explored before. We therefore conducted this study for investigating this issue. METHODS: We retrospectively analyzed 265 genotype-1 chronic hepatitis C patients who received pegylated interferon-α/ribavirin treatment. These patients were divided into 3 age groups. Clinical parameters including the genotype of rs12979860 were analyzed. RESULTS: SVR rate was highest in patients younger than 45 years and lowest in patients older than 65 years even through propensity score matching analysis. As for rapid virologic response (RVR) predictors, genotype of rs12979860 was the predictor for the patients younger than 45 years and patients aged between 45 and 65 years, but no RVR predictor was found for patients older than 65 years. As for the SVR predictors, HbA1c, baseline viral load, and RVR but not genotype of rs12979860 were the predictors in patients younger than 45 years. For patients between 45 and 65 years, the predictors for SVR were liver fibrosis, genotype of rs12979860, and RVR. For patients older than 65 years, RVR was the only predictor for SVR. CONCLUSIONS: SVR predictors are various in different age groups. RVR is the SVR predictor for all age groups, but the genotype of rs12979860 is the SVR predictor only for patients with age between 45 and 65 years but not younger or older patients.

Progranulin regulates zebrafish muscle growth and regeneration through maintaining the pool of myogenic progenitor cells.

Myogenic progenitor cell (MPC) is responsible for postembryonic muscle growth and regeneration. Progranulin (PGRN) is a pluripotent growth factor that is correlated with neuromuscular disease, which is characterised by denervation, leading to muscle atrophy with an abnormal quantity and functional ability of MPC. However, the role of PGRN in MPC biology has yet to be elucidated. Here, we show that knockdown of zebrafish progranulin A (GrnA) resulted in a reduced number of MPC and impaired muscle growth. The decreased number of Pax7-positive MPCs could be restored by the ectopic expression of GrnA or MET. We further confirmed the requirement of GrnA in MPC activation during muscle regeneration by knockdown and transgenic line with muscle-specific overexpression of GrnA. In conclusion, we demonstrate a critical role for PGRN in the maintenance of MPC and suggest that muscle atrophy under PGRN loss may begin with MPC during postembryonic myogenesis.

Patients younger than forty years old with hepatitis C virus genotype-1 chronic infection had treatment responses similar to genotype-2 infection and not related to interleukin-28B polymorphism.

BACKGROUND AND RATIONALE: Age is one of the predictors for sustained virological response (SVR) when treating chronic hepatitis C (CHC) patients with pegylated-interferon/ribavirin (PegIFN/RBV). However, the treatment responses of the young patients had not been analyzed before. Therefore, we conducted this study to investigate the treatment responses of CHC patients younger than 40 years old (y/o). MATERIAL AND METHODS: We retrospectively analyzed our prospective cohort of genotype 1 (GT1)- and genotype 2 (GT2)-CHC patients who received 24-week PegIFN/RBV treatment. We divided these patients into two groups according to their age younger or older than 40 y/o. Clinical parameters including viral responses and single nucleotide polymorphisms (SNPs) of interleukin-28B (IL28B) had been analyzed. RESULTS: In GT1- CHC patients, the rapid, complete early viral response rates and the SVR rate were significantly higher in patients younger than 40 y/o. In GT-1 CHC patients younger than 40 y/o, the SVR rate was similar to the GT2-CHC patients, either with high or low baseline viral load. As for the SVR predictors, in CHC patients younger than 40 y/o, only BMI but not the genotype of HCV, not baseline viral load, and not IL28B SNP was the predictor. CONCLUSIONS: GT1-CHC patients younger than 40 y/o had SVR rate similar to GT2-CHC patients. The IL28B polymorphism had no impact on the SVR rate in these young GT1-CHC patients.

None of the six SNPs of IL28B could predict treatment responses in genotype 2 chronic HCV infected patients by propensity score matching analysis.

BACKGROUND & AIMS: A combination of pegylated interferon-alpha and ribavirin (PR) is the standard therapy for patients with chronic hepatitis C. The impact of polymorphism of interleukin-28B (IL28B) on sustained virological response (SVR) to PR has been well documented in patients with CHC genotype-1 (GT1), but it is controversial in genotype-2 (GT2) CHC patients. This study investigated the predictability of six single nucleotide polymorphisms (SNP) of IL28B on the treatment responses of PR in patients with CHC GT2. METHOD: 197 CHC GT2 consecutive patients who received PR treatment in our prospective cohort were enrolled. Hepatitis C virus (HCV) genotyping, quantification of HCV-RNA and genotyping of the ten SNPs of IL28B were performed. Six SNPs of IL28B were chosen for analysis. The propensity score matching (PSM) analysis was applied using patients with CHC GT1 in another prospective cohort as a positive comparison to avoid covariate bias. RESULTS: The distribution of the six SNPs was similar in GT1 and GT2 patients. Five of these SNPs had strong association with treatment responses in GT1 but not in GT2 patients. After PSM analysis, these five SNPs still showed strong association with rapid virological response (RVR), cEVR and SVR in GT1 and had no influence in GT2 patients. Furthermore, rs12979860 and baseline viral load were the predictors for both RVR and SVR in GT1 patients. However, only baseline viral load could predict RVR and SVR in GT2 patients. In addition, in patients without RVR, rs12979860 was the only predictor for SVR in GT1 but no predictor for SVR was found in GT2. CONCLUSIONS: The genetic polymorphisms of IL28B had no impact on treatment responses in GT2 patients.

MELD score can predict early mortality in patients with rebleeding after band ligation for variceal bleeding.

AIM: To investigate the outcomes, as well as risk factors for 6-wk mortality, in patients with early rebleeding after endoscopic variceal band ligation (EVL) for esophageal variceal hemorrhage (EVH). METHODS: Among 817 EVL procedures performed for EVH between January 2007 and December 2008, 128 patients with early rebleeding, defined as rebleeding within 6 wk after EVL, were enrolled for analysis. RESULT: The rate of early rebleeding after EVL for acute EVH was 15.6% (128/817). The 5-d, 6-wk, 3-mo, and 6-mo mortality rates were 7.8%, 38.3%, 55.5%, and 58.6%, respectively, in these early rebleeding patients. The use of beta-blockers, occurrence of hypovolemic shock, and higher model for end-stage liver disease (MELD) score at the time of rebleeding were independent predictors for 6-wk mortality. A cut-off value of 21.5 for the MELD score was found with an area under ROC curve of 0.862 (P < 0.001). The sensitivity, specificity, positive predictive value, and negative predictive value were 77.6%, 81%, 71.7%, and 85.3%, respectively. As for the 6-mo survival rate, patients with a MELD score ≥ 21.5 had a significantly lower survival rate than patients with a MELD score < 21.5 (P < 0.001). CONCLUSION: This study demonstrated that the MELD score is an easy and powerful predictor for 6-wk mortality and outcomes of patients with early rebleeding after EVL for EVH.

IL28B SNP rs12979860 is a critical predictor for on-treatment and sustained virologic response in patients with hepatitis C virus genotype-1 infection.

BACKGROUND: Single nucleotide polymorphisms (SNPs) of interleukin-28B (IL28B) have received considerable interest for their association with sustained virological response (SVR) when treating patients of genotype-1 hepatitis C virus (GT1-HCV) chronic infection with pegylated interferon and ribavirin (PegIFN/RBV). This study was to investigate the predictive power of IL28B SNPs for on-treatment responses and SVR in treatment-naïve patients with GT1-HCV chronic infection. METHODOLOGY/PRINCIPAL FINDINGS: We analyzed ten SNPs of IL28B in 191 treatment-naïve patients with GT1-HCV chronic infection who received PegIFN/RBV. In these patients, rapid virological response (RVR), early virological response (EVR) and SVR were achieved in 69.6%, 95.8% and 68.6% of the patients, respectively. Multivariate analysis (odds ratio; 95% confidence interval; P value) indicated age (0.96; 0.93-0.99; 0.012), low baseline viral load (4.65; 2.23-9.66; <0.001) and CC genotype of rs12979860 (7.74; 2.55-23.53; <0.001) but no other SNPs were independent predictors for SVR. In addition, none of the ten SNPs examined were associated with baseline viral load and stages of liver fibrosis. Regarding RVR, low baseline viral load (2.83; 1.40-5.73; 0.004) and CC genotype of rs12979860 (10.52; 3.45-32.04; <0.001) were two critical predictors. As for EVR, only CC genotype of rs12979860 (36.21; 6.68-196.38; <0.001) was the predictor. Similarly, for end of treatment response (ETR), CC genotype of rs12979860 (15.42; 4.62-51.18; <0.001) was the only predictor. For patients with RVR, only low baseline viral load (3.90; 1.57-9.68; 0.003) could predict the SVR. For patients without RVR, only rs12979860 (4.60; 1.13-18.65; 0.033) was the predictor for SVR. CONCLUSIONS/SIGNIFICANCE: rs12979860 is the critical predictor for RVR, EVR, ETR and SVR in treatment-naïve patients of GT1-HCV chronic infection. Furthermore, this SNP is the only predictor for SVR in patients without RVR. These results have provided evidence that rs12979860 is the ideal IL28B SNP for genetic testing in treating patients of GT1-HCV chronic infection.