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Functional Divergence between Subgenomes anc Gene Pairs after Whole Genome Duplications 被引量:6
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作者 Zhikai Liang james c. schnable 《Molecular Plant》 SCIE CAS CSCD 2018年第3期388-397,共10页
Gene loss following whole genome duplication (WGD) is often biased, with one subgenome retaining more ancestral genes and the other sustaining more gene deletions. While bias toward the greater expression of gene co... Gene loss following whole genome duplication (WGD) is often biased, with one subgenome retaining more ancestral genes and the other sustaining more gene deletions. While bias toward the greater expression of gene copies on one subgenome can explain bias in gene loss, this raises the question to what drives differences in gene expression levels between subgenomes. Differences in chromatin modifications and epigenetic markers between subgenomes in several model species are now being identified, providing an explanation for bias in gene expression between subgenomes. WGDs can be classified into duplications with higher, biased gene loss and bias in gene expression between subgenomes versus those with lower, unbiased rates of gene loss and an absence of detectable bias between subgenomes; however, the origi- nally proposed link between these two classes and whether WGD results from an allo- or autopolyploid event is inconsistent with recent data from the allopolyploid Capsella bursa-pastoris. The gene balance hypothesis can explain bias in the functional categories of genes retained following WGD, the difference in gene loss rates between unbiased and biased WGDs, and how plant genomes have avoided being overrun with genes encoding dose-sensitive subunits of multiprotein complexes. Comparisons of gene expression patterns between retained transcription factor pairs in maize suggest the high degree of retention for WGD-derived pairs of transcription factors may instead be explained by the older duplication-degeneration-complementation model. 展开更多
关键词 whole genome duplication FRACTIONATION subgenome polypioidy
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STAG-CNS: An Order-Aware Conserved Noncoding Sequences Discovery Tool for Arbitrary Numbers of Species 被引量:2
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作者 Xianjun Lai Sairam Behera +3 位作者 Zhikai Liang Yanli Lu Jitender S. Deogun james c. schnable 《Molecular Plant》 SCIE CAS CSCD 2017年第7期990-999,共10页
One method for identifying noncoding regulatory regions of a genome is to quantify rates of divergence between related species, as functional sequence will generally diverge more slowly. Most approaches to identifying... One method for identifying noncoding regulatory regions of a genome is to quantify rates of divergence between related species, as functional sequence will generally diverge more slowly. Most approaches to identifying these conserved noncoding sequences (CNSs) based on alignment have had relatively large minimum sequence lengths (≥15 bp) compared with the average length of known transcription factor binding sites. To circumvent this constraint, STAG-CNS that can simultaneously integrate the data from the promoters of conserved orthologous genes in three or more species was developed. Using the data from up to six grass species made it possible to identify conserved sequences as short as 9 bp with false discovery rate ≤0.05. These CNSs exhibit greater overlap with open chromatin regions identified using DNase I hypersensitivity assays, and are enriched in the promoters of genes involved in transcriptional regulation. STAG-CNS was further employed to characterize loss of conserved noncoding sequences associated with retained duplicate genes from the ancient maize polyploidy. Genes with fewer retained CNSs show lower overall expression, although this bias is more apparent in samples of complex organ systems containing many cell types, suggesting that CNS loss may correspond to a reduced number of expression contexts rather than lower expression levels across the entire ancestral expression domain. 展开更多
关键词 conserved noncoding sequence comparative genomics suffix tree longest path algorithm grain crops
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Harnessing the Potential of the Tea Tree Genome
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作者 Xianjun Lai james c. schnable 《Molecular Plant》 SCIE CAS CSCD 2017年第6期788-790,共3页
Tea is arguably the most popular non-alcoholic beverage in the world. The primary source of tea is the boiled leaves of the plant Camellia sinensis. Agronomic production of tea leaves currently depends heavily on a re... Tea is arguably the most popular non-alcoholic beverage in the world. The primary source of tea is the boiled leaves of the plant Camellia sinensis. Agronomic production of tea leaves currently depends heavily on a relatively small number of vegetatively propagated clonal varieties of C. sinensis. However, there is an urgent need for new cultivars, but conventional approaches to breeding can take 22-25 years to produce a new desirable C. sinensis accession (as reviewed by Chert et al., 2007). 展开更多
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