Article
Biotechnology & Applied Microbiology
Fuchen Zhou, Shenghui Wang, Haojun Qin, Haiyu Zeng, Jian Ye, Jie Yang, Gengyuan Cai, Zhenfang Wu, Zebin Zhang
Summary: The Genome-Wide Association Study analysis on 216 Duroc pigs identified nine significant SNPs associated with Aplasia cutis congenita (ACC). The study also revealed the presence of two quantitative trait loci on SSC 5 and SSC13. Further annotation of candidate genes within a 1 Mb region surrounding the significant SNPs identified a total of 11 candidate genes on SSC5 and SSC13.
Article
Agriculture, Dairy & Animal Science
Rongrong Ding, Zhanwei Zhuang, Yibin Qiu, Donglin Ruan, Jie Wu, Jian Ye, Lu Cao, Shenping Zhou, Enqin Zheng, Wen Huang, Zhenfang Wu, Jie Yang
Summary: Backfat thickness (BFT) is an economically important trait in the pig industry, and genetic markers and candidate genes related to BFT were identified through genotyping and genome-wide association analysis in two Duroc populations. Most candidate genes can be directly used for genetic improvement through molecular markers. New insights gained from this study will contribute to genetic studies aiming to increase carcass lean meat percentage in pigs.
JOURNAL OF ANIMAL SCIENCE
(2022)
Article
Genetics & Heredity
Hang Liu, Liming Hou, Wuduo Zhou, Binbin Wang, Pingping Han, Chen Gao, Peipei Niu, Zongping Zhang, Qiang Li, Ruihua Huang, Pinghua Li
Summary: This study identified candidate genes and molecular markers related to meat color in pigs through genotype analysis and genetic correlation calculations. It also discovered a set of potential molecular markers for genetic improvement of meat color, providing a theoretical basis for meat color molecular breeding.
FRONTIERS IN GENETICS
(2022)
Article
Agriculture, Dairy & Animal Science
Chengwan Zha, Kaiyue Liu, Jian Wu, Pinghua Li, Liming Hou, Honglin Liu, Ruihua Huang, Wangjun Wu
Summary: This study conducted a genome-wide association study to uncover the genetic basis of meat color traits. It identified significant SNPs and candidate genes related to meat color, providing new insights for molecular breeding of meat color in pigs.
Article
Plant Sciences
Zhibo Qu, Ying Wu, Die Hu, Ting Li, Hangyu Liang, Fan Ye, Jiquan Xue, Shutu Xu
Summary: This study dissected the genetic basis of maize grain size using genome-wide association analysis and identified 139 loci associated with the trait. Transcriptome data revealed differential expression of 15 candidate genes involved in regulating peroxidase activity, oxidoreductase, and leaf senescence.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Plant Sciences
Haiye Luan, Changyu Chen, Ju Yang, Hailong Qiao, Hongtao Li, Shufeng Li, Junyi Zheng, Huiquan Shen, Xiao Xu, Jun Wang
Summary: Waterlogging is a major factor affecting the yield and quality of barley. This study used genome-wide association study and transcriptome analysis to identify SNPs and differentially expressed genes associated with waterlogging tolerance in barley. Several candidate genes were found to have a role in enhancing waterlogging tolerance, which has implications for breeding waterlogging-tolerant barley varieties.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Z. Zhuang, R. Ding, Y. Qiu, J. Wu, S. Zhou, J. Quan, E. Zheng, Z. Li, Z. Wu, J. Yang
Summary: This study identified a consistent QTL, additional genomic regions, and genes contributing to the genetic variance of IMF using a large sample size of genotyped pigs and genealogical information.
Article
Plant Sciences
Xing Huo, Jian Wang, Luo Chen, Hua Fu, Tifeng Yang, Jingfang Dong, Yamei Ma, Lian Zhou, Jiansong Chen, Dilin Liu, Bin Liu, Junliang Zhao, Shaohong Zhang, Wu Yang
Summary: Grain chalkiness is a crucial factor influencing the market value of rice. This study identified 34 QTLs associated with grain chalkiness in 450 rice accessions through a genome-wide association analysis. Four candidate genes were identified as potential targets for molecular breeding to improve rice quality. These findings contribute to a better understanding of the genetic basis of grain chalkiness and provide gene resources for quality improvement in rice through molecular breeding.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Plant Sciences
Xiaohui Song, Guozhong Zhu, Sen Hou, Yamei Ren, Muhammad Waqas Amjid, Weixi Li, Wangzhen Guo
Summary: Genome-wide association analysis was conducted on fiber quality parameters in cotton, identifying 67 stable quantitative trait loci (QTLs) related to fiber length, strength, and micronaire. Transcriptome analysis revealed candidate genes involved in crucial processes like sugar metabolism and cytoskeleton organization, providing new insights for improving fiber quality in cotton.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Veterinary Sciences
Yunna Li, Hua Yang, Jing Guo, Yonglin Yang, Qian Yu, Yuanyuan Guo, Chaoxin Zhang, Zhipeng Wang, Peng Zuo
Summary: This study conducted a genome-wide association study (GWAS) using a high-density SNP chip to map loci related to weaning weight and yearling weight in sheep. The results identified significant associations of various SNPs with these weight traits and revealed potential candidate genes involved in regulating body weight. The findings highlight the value of multi-omic analysis in identifying genetic factors influencing body weight.
FRONTIERS IN VETERINARY SCIENCE
(2023)
Article
Biotechnology & Applied Microbiology
Haonan Zeng, Zhanming Zhong, Zhiting Xu, Jinyan Teng, Chen Wei, Zitao Chen, Wenjing Zhang, Xiangdong Ding, Jiaqi Li, Zhe Zhang
Summary: Shared genetic characterization of backfat thickness across pig breeds was identified through metaGWAS, and candidate genes were also identified, contributing to a better understanding of the genetic architecture of backfat thickness and the regulatory mechanism underlying fat deposition in pigs.
Article
Plant Sciences
Lovepreet Singh, Rajat Pruthi, Sandeep Chapagain, Prasanta K. Subudhi
Summary: Alkalinity stress is a major obstacle to rice production, and understanding the mechanisms of alkalinity tolerance is limited. A genome-wide association study was conducted to identify tolerant genotypes and candidate genes for alkalinity tolerance in rice seedlings. Principal component analysis revealed the traits with the highest contributions to tolerance, and clustering analysis grouped the genotypes into different subgroups. Several significant SNPs associated with alkalinity tolerance were identified, as well as novel QTLs and candidate genes. These genomic and genetic resources are valuable for investigating alkalinity tolerance mechanisms and improving tolerance in rice.
Article
Genetics & Heredity
Xianxian Liu, Junjie Zhang, Xinwei Xiong, Congying Chen, Yuyun Xing, Yanyu Duan, Shijun Xiao, Bin Yang, Junwu Ma
Summary: By integrating transcriptomics and GWAS data, this study identified functional candidate genes and network modules associated with meat quality traits. The analysis included QTT, eQTL mapping, and WGCNA, revealing genes involved in metabolic process, glycogen metabolism, and energy pathways. Strong candidate genes like GALNT15/GALNTL2 and HTATIP2 for drip loss and pH drop were highlighted, expanding the potential gene candidates for future studies on meat quality improvement.
FRONTIERS IN GENETICS
(2021)
Article
Genetics & Heredity
Alexander Krivoruchko, Alexander Surov, Antonina Skokova, Anastasiya Kanibolotskaya, Tatiana Saprikina, Maxim Kukharuk, Olesya Yatsyk
Summary: A genome-wide association study was conducted in a group of Jalgin Merino rams to explore the relationship between individual polymorphisms and intravital indicators of meat productivity. Twenty-three substitutions were found to be significantly associated with external measurements of the body and ultrasonic parameters, leading to the identification of 14 candidate genes with potential structural effects on animal phenotypes.
Article
Genetics & Heredity
Huiyu Wang, Xiaoyi Wang, Mingli Li, Hao Sun, Qiang Chen, Dawei Yan, Xinxing Dong, Yuchun Pan, Shaoxiong Lu
Summary: In this study, 64 SNPs associated with six meat quality traits were identified, with 24 SNPs located in previously reported QTL regions. The significant SNPs explained 2.43% to 16.32% of the phenotypic variation. Additionally, 30 genes located near these SNPs were found, including genes related to pH, meat color, marbling, water loss, drip loss, and cooking loss. This study provides new evidence for candidate genes involved in pork quality traits.
FRONTIERS IN GENETICS
(2023)
Article
Neurosciences
Maria S. Sisti, Fabian Nishida, Carolina N. Zanuzzi, Sergio L. Laurella, Rodolfo J. C. Cantet, Enrique L. Portianskya
NEUROSCIENCE LETTERS
(2019)
Article
Agriculture, Dairy & Animal Science
Belcy K. Angarita, Rodolfo J. C. Cantet, Kaitlin E. Wurtz, Carli O'Malley, Janice M. Siegford, Catherine W. Ernst, Simon P. Turner, Juan P. Steibel
JOURNAL OF ANIMAL SCIENCE
(2019)
Correction
Agriculture, Dairy & Animal Science
Belcy K. Angarita, Rodolfo J. C. Cantet, Kaitlin E. Wurtz, Carly I. O'Malley, Janice M. Siegford, Catherine W. Ernst, Simon P. Turner, Juan P. Steibel
JOURNAL OF ANIMAL SCIENCE
(2020)
Article
Agriculture, Dairy & Animal Science
Carolina A. Garcia-Baccino, Daniela A. L. Lourenco, Stephen Miller, Rodolfo J. C. Cantet, Zulma G. Vitezica
JOURNAL OF ANIMAL SCIENCE
(2020)
Article
Genetics & Heredity
Brittney N. Keel, Warren M. Snelling, Amanda K. Lindholm-Perry, William T. Oliver, Larry A. Kuehn, Gary A. Rohrer
FRONTIERS IN GENETICS
(2020)
Article
Genetics & Heredity
Matias F. Schrauf, Johannes W. R. Martini, Henner Simianer, Gustavo de los Campos, Rodolfo Cantet, Jan Freudenthal, Arthur Korte, Sebastian Munilla
G3-GENES GENOMES GENETICS
(2020)
Article
Fisheries
Alejandro Sosnovsky, Mailen Elizabeth Lallement, Magali Rechencq, Eduardo Enrique Zattara, Maria Valeria Fernandez, Sergio Leiva, Maria Jose Suarez, Romina Daga, Rodolfo Juan Carlos Cantet
Summary: Studies on two adjacent streams in Northern Patagonia revealed stark differences in dynamics of their adjacent basins due to contrasting topography and land use, indicating significant impacts on hydrological and nutrient dynamics driven by environmental factors.
NEW ZEALAND JOURNAL OF MARINE AND FRESHWATER RESEARCH
(2022)
Article
Genetics & Heredity
L. E. Puhl, J. Crossa, S. Munilla, P. Perez-Rodriguez, R. J. C. Cantet
Summary: In this study, hierarchical Bayesian models were used to analyze the additive variance of SHW and SHWD, showing that the additive variance of grain yield comes from different breed categories and segregation variance explains a significant proportion of phenotypic variance between populations of different species.
Article
Agriculture, Dairy & Animal Science
Y. Steyn, D. Gonzalez-Pena, Y. L. Bernal Rubio, N. Vukasinovic, S. K. DeNise, D. A. L. Lourenco, I Misztal
Summary: This study aimed to predict genomic breeding values for milk yield of crossbred dairy cattle under different scenarios using single-step genomic BLUP. The data set included a large number of milk yield records and genotypic information.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Agriculture, Dairy & Animal Science
Belcy K. Angarita, Junjie Han, Rodolfo J. C. Cantet, Sarah K. Chewning, Kaitlin E. Wurtz, Janice M. Siegford, Catherine W. Ernst, Juan Pedro Steibel
Summary: The study utilized mixed models to estimate the direct and social effects on visit duration at the feeder of group-housed pigs, finding that visit duration at a single-space feeder was influenced by both direct and social effects when the replacement time between visits was less than 1 minute.
JOURNAL OF ANIMAL SCIENCE
(2021)
Article
Agriculture, Dairy & Animal Science
Natalia S. Forneris, Carolina A. Garcia-Baccino, Rodolfo J. C. Cantet, Zulma G. Vitezica
Summary: In this study, the level of inbreeding and inbreeding depression for growth and reproductive traits in Argentinean Brangus cattle was estimated. The results showed that all traits were unfavorably affected by inbreeding depression.
JOURNAL OF ANIMAL SCIENCE
(2021)
Article
Agriculture, Dairy & Animal Science
Paulo Alvarez Cecco, Andres Rogberg Munoz, Marianela Balbi, Martin Bonamy, Sebastian Munilla, Natalia Soledad Forneris, Pilar Peral Garcia, Rodolfo Juan Carlos Cantet, Guillermo Giovambattista, Maria Elena Fernandez
Summary: This study estimated the breed composition of the Argentinean Brangus population and identified genomic regions with positive selection signatures. The findings contribute to the understanding of the genetic mechanisms involved in cross-bred cattle adaptation and productivity in tropical environments.
JOURNAL OF ANIMAL BREEDING AND GENETICS
(2022)
Article
Agriculture, Dairy & Animal Science
Belcy Karine Angarita Barajas, Rodolfo J. C. Cantet, Juan P. Steibel, Matias F. Schrauf, Natalia S. Forneris
Summary: This study compares the effect of identity-by-state (IBS) and identity-by-descent (IBD) methods on estimating heritability and predictive ability in data with low-depth pedigrees. The results show that both methods have similar effects on most traits, but the IBD method can provide more accurate estimates of heritability and predictive ability for some traits.
JOURNAL OF ANIMAL BREEDING AND GENETICS
(2023)
Article
Agriculture, Dairy & Animal Science
Rodolfo J. C. Cantet, Belcy K. Angarita-Barajas, Natalia S. Forneris, Sebastian Munilla
Summary: In this study, we introduced the causal PAR Markov model, which captures identity disequilibrium among breeding values and produces a sparse inverse covariance matrix to build and solve a set of mixed model equations.
GENETICS SELECTION EVOLUTION
(2022)
Article
Limnology
Alejandro Sosnovsky, Magali Rechencq, Maria Valeria Fernandez, Maria Jose Suarez, Rodolfo Juan Carlos Cantet