scholarly journals Genome-wide identification of ZmHMAs and association of natural variation in ZmHMA2 and ZmHMA3 with leaf cadmium accumulation in maize

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7877 ◽  
Author(s):  
Yanhua Cao ◽  
Xiongwei Zhao ◽  
Yajuan Liu ◽  
Yalong Wang ◽  
Wenmei Wu ◽  
...  
Keyword(s):  
Natural Variation ◽  
Developmental Stages ◽  
Expression Patterns ◽  
Cadmium Accumulation ◽  
Functional Verification ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Cd Accumulation ◽  
Genome Wide ◽  
Selection Of

P1B-type ATPases, known as heavy metal ATPases (HMAs), play an important role in the control of cadmium (Cd) accumulation in plants. In this study, a total of 12 ZmHMA genes were identified in the maize genome and particularly classified into six clusters based on their phylogenetic relationship and motif compositions. Furthermore, the expression patterns of different ZmHMA genes varied with developmental stages, and were tissue specific under normal conditions. ZmHMA2 and ZmHMA3 genes exhibited significant up-regulation under Cd treatment. Eventually, the association analysis between 103 inbred lines and alleles in ZmHMA2 and ZmHMA3 revealed that one insertion–deletion (InDel) in the intron from ZmHMA2 was associated with leaf Cd concentration under low Cd condition at the seedling stage. Twenty polymorphisms in ZmHMA3 were significantly associated with leaf Cd concentration under various Cd levels at seedling and maturing stages. Five single nucleotide polymorphisms (SNPs) and two InDels of these significantly associated polymorphic loci from ZmHMA3 caused the amino acid substitutions and insertion or deletion events. Importantly, the proteins encoded by ZmHMA2 and ZmHMA3 genes were located in the plasma membrane. This comprehensive analysis will provide an important theoretical basis for future functional verification of ZmHMA genes to unravel the mechanisms of Cd accumulation in leaves of maize. Additionally, the favorable alleles in ZmHMA3 will lay a foundation for the marker-assisted selection of low Cd accumulation in maize.

scholarly journals Genome-wide identification, phylogenetic and expression pattern analysis of GATA family genes in Brassica napus

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Weizhuo Zhu ◽  
Yiyi Guo ◽  
Yeke Chen ◽  
Dezhi Wu ◽  
Lixi Jiang
Keyword(s):  
Brassica Napus ◽  
Stress Condition ◽  
Expression Patterns ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Good Opportunity ◽  
Domain Structures ◽  
Genome Wide ◽  
A Genome

Abstract Background Transcription factors GATAs are involved in plant developmental processes and respond to environmental stresses through binding DNA regulatory regions to regulate their downstream genes. However, little information on the GATA genes in Brassica napus is available. The release of the reference genome of B. napus provides a good opportunity to perform a genome-wide characterization of GATA family genes in rapeseed. Results In this study, 96 GATA genes randomly distributing on 19 chromosomes were identified in B. napus, which were classified into four subfamilies based on phylogenetic analysis and their domain structures. The amino acids of BnGATAs were obvious divergence among four subfamilies in terms of their GATA domains, structures and motif compositions. Gene duplication and synteny between the genomes of B. napus and A. thaliana were also analyzed to provide insights into evolutionary characteristics. Moreover, BnGATAs showed different expression patterns in various tissues and under diverse abiotic stresses. Single nucleotide polymorphisms (SNPs) distributions of BnGATAs in a core collection germplasm are probably associated with functional disparity under environmental stress condition in different genotypes of B. napus. Conclusion The present study was investigated genomic structures, evolution features, expression patterns and SNP distributions of 96 BnGATAs. The results enrich our understanding of the GATA genes in rapeseed.

scholarly journals Genome-Wide Association Study of Body Weight Traits in Chinese Fine-Wool Sheep

Animals ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 170 ◽  
Author(s):  
Zengkui Lu ◽  
Yaojing Yue ◽  
Chao Yuan ◽  
Jianbin Liu ◽  
Zhiqiang Chen ◽  
...  
Keyword(s):  
Body Weight ◽  
Muscle Development ◽  
Genome Wide Association Study ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Economic Trait ◽  
Significance Levels ◽  
Genomic Regions ◽  
Selection Of

Body weight is an important economic trait for sheep and it is vital for their successful production and breeding. Therefore, identifying the genomic regions and biological pathways that contribute to understanding variability in body weight traits is significant for selection purposes. In this study, the genome-wide associations of birth, weaning, yearling, and adult weights of 460 fine-wool sheep were determined using resequencing technology. The results showed that 113 single nucleotide polymorphisms (SNPs) reached the genome-wide significance levels for the four body weight traits and 30 genes were annotated effectively, including AADACL3, VGF, NPC1, and SERPINA12. The genes annotated by these SNPs significantly enriched 78 gene ontology terms and 25 signaling pathways, and were found to mainly participate in skeletal muscle development and lipid metabolism. These genes can be used as candidate genes for body weight in sheep, and provide useful information for the production and genomic selection of Chinese fine-wool sheep.

scholarly journals Genome-wide identification, phylogenetic and expression pattern analysis of GATA family genes in Brassica napus

2020 ◽  
Author(s):  
Weizhuo Zhu ◽  
Yiyi Guo ◽  
Yeke Chen ◽  
Dezhi Wu ◽  
Lixi Jiang
Keyword(s):  
Brassica Napus ◽  
Stress Condition ◽  
Expression Patterns ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Good Opportunity ◽  
Domain Structures ◽  
Genome Wide ◽  
A Genome

Abstract Background: Transcription factors GATAs are involved in plant developmental processes and respond to environmental stresses through binding DNA regulatory regions to regulate their downstream genes. However, little information on the GATA genes in Brassica napus is available. The release of the reference genome of B. napus provides a good opportunity to perform a genome-wide characterization of GATA family genes in rapeseed.Results: In this study, 96 GATA genes randomly distributing on 19 chromosomes were identified in B. napus, which were classified into four subfamilies based on phylogenetic analysis and their domain structures. The amino acids of BnGATAs were obvious divergence among four subfamilies in terms of their GATA domains, structures and motif compositions. Gene duplication and synteny between the genomes of B. napus and A. thaliana were also analyzed to provide insights into evolutionary characteristics. Moreover, BnGATAs showed different expression patterns in various tissues and under diverse abiotic stresses. Single nucleotide polymorphisms (SNPs) distributions of BnGATAs in a core collection germplasm are probably associated with functional disparity under environmental stress condition in different genotypes of B. napus.Conclusion: The present study was investigated genomic structures, evolution features, expression patterns and SNP distributions of 96 BnGATAs. The results enrich our understanding of the GATA genes in rapeseed.

scholarly journals Genome-wide identification, phylogenetic and expression pattern analysis of GATA family genes in Brassica napus

2020 ◽  
Author(s):  
Weizhuo Zhu ◽  
Yiyi Guo ◽  
Yeke Chen ◽  
Dezhi Wu ◽  
Lixi Jiang
Keyword(s):  
Brassica Napus ◽  
Stress Condition ◽  
Expression Patterns ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Good Opportunity ◽  
Domain Structures ◽  
Genome Wide ◽  
A Genome

Abstract Background: Transcription factors GATAs are involved in plant developmental processes and respond to environmental stresses through binding DNA regulatory regions to regulate their downstream genes. However, little information on the GATA genes in Brassica napus is available. The release of the reference genome of B. napus provides a good opportunity to perform a genome-wide characterization of GATA family genes in rapeseed. Results: In this study, 96 GATA genes randomly distributing on 19 chromosomes were identified in B. napus , which were classified into four subfamilies based on phylogenetic analysis and their domain structures. The amino acids of BnGATAs were obvious divergence among four subfamilies in terms of their GATA domains, structures and motif compositions. Gene duplication and synteny between the genomes of B. napus and A. thaliana were also analyzed to provide insights into evolutionary characteristics. Moreover, BnGATAs showed different expression patterns in various tissues and under diverse abiotic stresses. Single nucleotide polymorphisms (SNPs) distributions of BnGATAs in a core collection germplasm are probably associated with functional disparity under environmental stress condition in different genotypes of B. napus . Conclusion: The present study was investigated genomic structures, evolution features, expression patterns and SNP distributions of 96 BnGATAs. The results enrich our understanding of the GATA genes in rapeseed.

scholarly journals Using population-specific add-on polymorphisms to improve genotype imputation in underrepresented populations

2021 ◽  
Author(s):  
Zhi Ming Xu ◽  
Sina Rüeger ◽  
Michaela Zwyer ◽  
Daniela Brites ◽  
Hellen Hiza ◽  
...  
Keyword(s):  
Association Studies ◽  
Imputation Accuracy ◽  
Genotype Imputation ◽  
Small Subset ◽  
Study Cohort ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Selection Of

AbstractGenome-wide association studies rely on the statistical inference of untyped variants, called imputation, to increase the coverage of genotyping arrays. However, the results are often suboptimal in populations underrepresented in existing reference panels and array designs, since the selected single nucleotide polymorphisms (SNPs) may fail to capture population-specific haplotype structures, hence the full extent of common genetic variation. Here, we propose to sequence the full genome of a small subset of an underrepresented study cohort to inform the selection of population-specific add-on SNPs, such that the remaining array-genotyped cohort could be more accurately imputed. Using a Tanzania-based cohort as a proof-of-concept, we demonstrate the validity of our approach by showing improvements in imputation accuracy after the addition of our designed addon SNPs to the base H3Africa array.

scholarly journals Molecular Evidence for Two Domestication Events in the Pea Crop

Genes ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 535 ◽  
Author(s):  
Oldřich Trněný ◽  
Jan Brus ◽  
Iveta Hradilová ◽  
Abhishek Rathore ◽  
Roma Das ◽  
...  
Keyword(s):  
Gene Flow ◽  
Natural Variation ◽  
Wide Distribution ◽  
Hybrid Origin ◽  
Molecular Evidence ◽  
Wild Relative ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Genome Wide Analysis ◽  
Genome Wide

Pea, one of the founder crops from the Near East, has two wild species: Pisum sativum subsp. elatius, with a wide distribution centered in the Mediterranean, and P. fulvum, which is restricted to Syria, Lebanon, Israel, Palestine and Jordan. Using genome wide analysis of 11,343 polymorphic single nucleotide polymorphisms (SNPs) on a set of wild P. elatius (134) and P. fulvum (20) and 74 domesticated accessions (64 P. sativum landraces and 10 P. abyssinicum), we demonstrated that domesticated P. sativum and the Ethiopian pea (P. abyssinicum) were derived from different P. elatius genepools. Therefore, pea has at least two domestication events. The analysis does not support a hybrid origin of P. abyssinicum, which was likely introduced into Ethiopia and Yemen followed by eco-geographic adaptation. Both P. sativum and P. abyssinicum share traits that are typical of domestication, such as non-dormant seeds. Non-dormant seeds were also found in several wild P. elatius accessions which could be the result of crop to wild introgression or natural variation that may have been present during pea domestication. A sub-group of P. elatius overlaps with P. sativum landraces. This may be a consequence of bidirectional gene-flow or may suggest that this group of P. elatius is the closest extant wild relative of P. sativum.

scholarly journals Improving the Efficiency of Genomic Selection in Chinese Simmental beef cattle

2015 ◽  
Author(s):  
Jiangwei Xia ◽  
Yang Wu ◽  
Huizhong Fang ◽  
Wengang Zhang ◽  
Yuxin Song ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Genomic Relationship Matrix ◽  
Relationship Matrix ◽  
Nucleotide Polymorphisms ◽  
Linear Unbiased Prediction ◽  
Single Nucleotide ◽  
Kinship Matrix ◽  
Genome Wide ◽  
Best Linear Unbiased ◽  
Selection Of

Genomic selection is an accurate and efficient method of estimating genetic merits by using high-density genome-wide single nucleotide polymorphisms (SNPs).In this study, we investigate an approach to increase the efficiency of genomic prediction by using genome-wide markers. The approach is a feature selection based on genomic best linear unbiased prediction (GBLUP),which is a statistical method used to predict breeding values using SNPs for selection in animal and plant breeding. The objective of this study is the choice of kinship matrix for genomic best linear unbiased prediction (GBLUP).The G-matrix is using the information of genome-wide dense markers. We compare three kinds of kinships based on different combinations of centring and scaling of marker genotypes.And find a suitable kinship approach that adjusts for the resource population of Chinese Simmental beef cattle.Single nucleotide polymorphism (SNPs) can be used to estimate kinship matrix and individual inbreeding coefficients more accurately. So in our research a genomic relationship matrix was developed for 1059 Chinese Simmental beef cattle using 640000 single nucleotide polymorphisms and breeding values were estimated using phenotypes about Carcass weight and Sirloin weight. The number of SNPs needed to accurately estimate a genomic relationship matrix was evaluated in this population. Another aim of this study was to optimize the selection of markers and determine the required number of SNPs for estimation of kinship in the Chinese Simmental beef cattle. We find that the feature selection of GBLUP using Xu’s and the Astle and Balding’s kinships model performed similarly well, and were the best-performing methods in our study. Inbreeding and kinship matrix can be estimated with high accuracy using ≥12,000s in Chinese Simmental beef cattle.

scholarly journals Determination of novel members in the Drosophila melanogaster anteriorposterior patterning system using natural variation

2018 ◽  
Author(s):  
Ashley A. Jermusyk ◽  
Sarah E. Gharavi ◽  
Aslesha S. Tingare ◽  
Gregory T. Reeves
Keyword(s):  
Gene Expression ◽  
Drosophila Melanogaster ◽  
Transcription Factors ◽  
Natural Variation ◽  
Expression Patterns ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Gap Gene ◽  
Drosophila Genetic Reference Panel

AbstractThe anterior-posterior axis of the developing Drosophila melanogaster embryo is patterned by a well-studied gene regulatory network called the Gap Gene Network. This network acts to buffer the developing pattern against noise, thereby minimizing errors in gene expression and preventing patterning defects.In this paper, we sought to discover novel regulatory regions and transcription factors acting in a subset of the Gap network using a selection of wild-caught fly lines derived from the Drosophila Genetic Reference Panel (DGRP). The fly lines in the DGRP contain subtle genomic differences due to natural variation; we quantified the differences in positioning of gene expression borders of two anterior-poster patterning genes, Krüppel (Kr) and Even-skipped in 13 of the DGRP lines. The differences in the positions of Krüppel and Even-skipped were then correlated to specific single nucleotide polymorphisms and insertions/deletions within the select fly lines. Putative enhancers containing these genomic differences were validated for their ability to produce expression using reporter constructs and analyzed for possible transcription factor binding sites. The identified transcription factors were then perturbed and the resulting Eve and Kr positioning was determined. In this way, we found medea, ultraspiracle, glial cells missing, and orthopedia effect Kr and Eve positioning in subtle ways, while knock-down of pangolin produces significant shifts in Kr and subsequent Eve expression patterns. Most importantly this study points to the existence of many additional novel members that have subtle effects on this system and the degree of complexity that is present in patterning the developing embryo.

scholarly journals Changing Ploidy as a Strategy: The Irish Potato Famine Pathogen Shifts Ploidy in Relation to Its Sexuality

2017 ◽  
Vol 30 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Ying Li ◽  
He Shen ◽  
Qian Zhou ◽  
Kun Qian ◽  
Theo van der Lee ◽  
...  
Keyword(s):  
Ploidy Level ◽  
Nuclear Dna ◽  
Allelic Variation ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Global Food Security ◽  
Genome Wide ◽  
Key Factor ◽  
Potato Famine ◽  
Selection Of

The oomycete Phytophthora infestans was the causal agent of the Irish Great Famine and is a recurring threat to global food security. The pathogen can reproduce both sexually and asexually, with high potential to adapt to various environments and great risk to break disease resistance genes in potato. As are other oomycetes, P. infestans is regarded to be diploid during the vegetative phase of its life cycle, although some studies reported trisomy and polyploidy. Using microsatellite fingerprinting, genome-wide assessment of single nucleotide polymorphisms, nuclear DNA quantification, and microscopic counting of chromosome numbers, we assessed the ploidy level of a comprehensive selection of isolates. All progenies from sexual populations of P. infestans in nature were found to be diploid, in contrast nearly all dominant asexual lineages, including the most important pandemic clonal lineages US-1 and 13_A2 were triploid. Such triploids possess significantly more allelic variation than diploids. We observed that triploid genotype can change to a diploid genome constitution when exposed to artificial stress conditions. This study reveals that fluctuations in the ploidy level may be a key factor in the adaptation process of this notorious plant destroyer and imposes an extra challenge to control this disease.

Future tools for association mapping in crop plantsThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”.

Genome ◽  
2010 ◽  
Vol 53 (11) ◽  
pp. 1017-1023 ◽  
Author(s):  
Chris Duran ◽  
Dominic Eales ◽  
Daniel Marshall ◽  
Michael Imelfort ◽  
Jiri Stiller ◽  
...  
Keyword(s):  
Association Mapping ◽  
Genetic Improvement ◽  
Sequence Data ◽  
Nucleotide Polymorphisms ◽  
Snp Discovery ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Oilseed Brassicas ◽  
Paired Read ◽  
Selection Of

Association mapping currently relies on the identification of genetic markers. Several technologies have been adopted for genetic marker analysis, with single nucleotide polymorphisms (SNPs) being the most popular where a reasonable quantity of genome sequence data are available. We describe several tools we have developed for the discovery, annotation, and visualization of molecular markers for association mapping. These include autoSNPdb for SNP discovery from assembled sequence data; TAGdb for the identification of gene specific paired read Illumina GAII data; CMap3D for the comparison of mapped genetic and physical markers; and BAC and Gene Annotator for the online annotation of genes and genomic sequences.

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