scholarly journals The Mouse Clock Locus: Sequence and Comparative Analysis of 204 Kb from Mouse Chromosome 5

2000 ◽  
Vol 10 (12) ◽  
pp. 1928-1940
Author(s):  
Lisa D. Wilsbacher ◽  
Ashvin M. Sangoram ◽  
Marina P. Antoch ◽  
Joseph S. Takahashi
Keyword(s):  
Sequence Analysis ◽  
Mouse Chromosome ◽  
Genomic Sequence ◽  
Sequence Data ◽  
Artificial Chromosome ◽  
Genomic Region ◽  
Molecular Techniques ◽  
Comparative Genomic ◽  
Chromosome 5 ◽  
Helix Loop Helix

The Clock gene encodes a basic helix-loop-helix (bHLH)–PAS transcription factor that regulates circadian rhythms in mice. We previously cloned Clock in mouse and human using a battery of behavioral and molecular techniques, including shotgun sequencing of two bacterial artificial chromosome (BAC) clones. Here we report the finished sequence of a 204-kb region from mouse chromosome 5. This region contains the complete loci for the Clock andTpardl (pFT27) genes, as well as the 3′ partial locus of the Neuromedin U gene; sequence analysis also suggests the presence of two previously unidentified genes. In addition, we provide a comparative genomic sequence analysis with the syntenic region from human chromosome 4. Finally, a new BAC transgenic line indicates that the genomic region that is sufficient for rescue of the Clock mutant phenotype is no greater than 120 kb and tightly flanks the 3′ end of the Clockgene.[The sequence data reported in this paper have been submitted to the GenBank data library under accession no. AF146793.]

scholarly journals Comparative Mapping of the Region of Human Chromosome 7 Deleted in Williams Syndrome

1999 ◽  
Vol 9 (5) ◽  
pp. 428-436 ◽  
Author(s):  
Udaya DeSilva ◽  
Hillary Massa ◽  
Barbara J. Trask ◽  
Eric D. Green
Keyword(s):  
Human Chromosome ◽  
Mouse Chromosome ◽  
Williams Syndrome ◽  
Nonhuman Primates ◽  
Physical Map ◽  
Artificial Chromosome ◽  
Genomic Region ◽  
Chromosome 7 ◽  
Fish Analysis ◽  
Chromosome 5

Williams syndrome (WS) is a complex developmental disorder resulting from the deletion of a large (∼1.5–2 Mb) segment of human chromosome 7q11.23. Physical mapping studies have revealed that this deleted region, which contains a number of known genes, is flanked by several large, nearly identical blocks of DNA. The presence of such highly related DNA segments in close physical proximity to one another has hampered efforts to elucidate the precise long-range organization of this segment of chromosome 7. To gain insight about the structure and evolutionary origins of this important and complex genomic region, we have constructed a fully contiguous bacterial artificial chromosome (BAC) and P1-derived artificial chromosome (PAC) contig map encompassing the corresponding region on mouse chromosome 5. In contrast to the difficulties encountered in constructing a clone-based physical map of the human WS region, the BAC/PAC-based map of the mouse WS region was straightforward to construct, with no evidence of large duplicated segments, such as those encountered in the human WS region. To confirm this difference, representative human and mouse BACs were used as probes for performing fluorescence in situ hybridization (FISH) to metaphase and interphase chromosomes. Human BACs derived from the nonunique portion of the WS region hybridized to multiple, closely spaced regions on human chromosome 7q11.23. In contrast, corresponding mouse BACs hybridized to a single site on mouse chromosome 5. Furthermore, FISH analysis revealed the presence of duplicated segments within the WS region of various nonhuman primates (chimpanzee, gorilla, orangutan, and gibbon). Hybridization was also noted at the genomic locations corresponding to human chromosome 7p22 and 7q22 in human, chimpanzee, and gorilla, but not in the other animal species examined. Together, these results indicate that the WS region is associated with large, duplicated blocks of DNA on human chromosome 7q11.23 as well as the corresponding genomic regions of other nonhuman primates. However, such duplications are not present in the mouse.

scholarly journals Sequence Analysis of Bacterial Artificial Chromosome Clones from the Apospory-Specific Genomic Region of Pennisetum and Cenchrus

2008 ◽  
Vol 147 (3) ◽  
pp. 1396-1411 ◽  
Author(s):  
Joann A. Conner ◽  
Shailendra Goel ◽  
Gunawati Gunawan ◽  
Marie-Michele Cordonnier-Pratt ◽  
Virgil Ed Johnson ◽  
...  
Keyword(s):  
Sequence Analysis ◽  
Bacterial Artificial Chromosome ◽  
Artificial Chromosome ◽  
Genomic Region ◽  
Specific Genomic Region

Comparative genomic sequence analysis of the Williams syndrome region (LIMK1-RFC2) of human Chromosome 7q11.23

2000 ◽  
Vol 11 (10) ◽  
pp. 890-898 ◽  
Author(s):  
Duane W. Martindale ◽  
Michael D. Wilson ◽  
Diana Wang ◽  
Robert D. Burke ◽  
Xianming Chen ◽  
...  
Keyword(s):  
Sequence Analysis ◽  
Human Chromosome ◽  
Williams Syndrome ◽  
Genomic Sequence ◽  
Comparative Genomic ◽  
Genomic Sequence Analysis ◽  
Comparative Genomic Sequence Analysis

scholarly journals A Bayesian implementation of the multispecies coalescent model with introgression for comparative genomic analysis

2019 ◽  
Author(s):  
Thomas Flouris ◽  
Xiyun Jiao ◽  
Bruce Rannala ◽  
Ziheng Yang
Keyword(s):  
Gene Flow ◽  
Genomic Sequence ◽  
Sequence Data ◽  
Incomplete Lineage Sorting ◽  
Mosquito Species ◽  
Genomic Analysis ◽  
Comparative Genomic ◽  
Lineage Sorting ◽  
Multispecies Coalescent ◽  
Important Means

AbstractRecent analyses suggest that cross-species gene flow or introgression is common in nature, especially during species divergences. Genomic sequence data can be used to infer introgression events and to estimate the timing and intensity of introgression, providing an important means to advance our understanding of the role of gene flow in speciation. Here we implement the multispecies-coalescent-with-introgression (MSci) model, an extension of the multispecies-coalescent (MSC) model to incorporate introgression, in our Bayesian Markov chain Monte Carlo (MCMC) program BPP. The MSci model accommodates deep coalescence (or incomplete lineage sorting) and introgression and provides a natural framework for inference using genomic sequence data. Computer simulation confirms the good statistical properties of the method, although hundreds or thousands of loci are typically needed to estimate introgression probabilities reliably. Re-analysis of datasets from the purple cone spruce confirms the hypothesis of homoploid hybrid speciation. We estimated the introgression probability using the genomic sequence data from six mosquito species in the Anopheles gambiae species complex, which varies considerably across the genome, likely driven by differential selection against introgressed alleles.

scholarly journals Eutherian comparative genomic analysis protocol

2020 ◽  
Author(s):  
Marko Premzl
Keyword(s):  
Genomic Sequence ◽  
Sequence Data ◽  
Genomic Analysis ◽  
Comparative Genomic Analysis ◽  
Third Party ◽  
Comparative Genomic ◽  
Data Sets ◽  
Gene Data ◽  
Sequence Errors ◽  
Analysis Protocol

Abstract The eutherian genomics momentum greatly advanced biology and medicine. Nevertheless, future revisions and updates of eutherian genomic sequence data sets were expected, due to potential genomic sequence errors and incompleteness of genomic sequences. The eutherian comparative genomic analysis protocol was established as guidance in protection against potential genomic sequence errors in public eutherian genomic sequence assemblies. The protocol revised, updated and published 12 major eutherian gene data sets, including 1853 complete coding sequences deposited in European Nucleotide Archive as curated third party data gene data sets under accession numbers: FR734011-FR734074, HF564658-HF564785, HF564786-HF564815, HG328835-HG329089, HG426065-HG426183, HG931734-HG931849, LM644135-LM644234, LN874312-LN874522, LT548096-LT548244, LT631550-LT631670, LT962964-LT963174 and LT990249-LT990597.

scholarly journals Eutherian comparative genomic analysis protocol

2019 ◽  
Author(s):  
Marko Premzl
Keyword(s):  
Genomic Sequence ◽  
Sequence Data ◽  
Genomic Analysis ◽  
Comparative Genomic Analysis ◽  
Third Party ◽  
Comparative Genomic ◽  
Data Sets ◽  
Gene Data ◽  
Sequence Errors ◽  
Analysis Protocol

Abstract The eutherian genomics momentum greatly advanced biology and medicine. Nevertheless, future revisions and updates of eutherian genomic sequence data sets were expected, due to potential genomic sequence errors and incompleteness of genomic sequences. The eutherian comparative genomic analysis protocol was established as guidance in protection against potential genomic sequence errors in public eutherian genomic sequence assemblies. The protocol revised, updated and published 11 major eutherian gene data sets, including 1504 complete coding sequences deposited in European Nucleotide Archive as curated third party data gene data sets under accession numbers: FR734011-FR734074, HF564658-HF564785, HF564786-HF564815, HG328835-HG329089, HG426065-HG426183, HG931734-HG931849, LM644135-LM644234, LN874312-LN874522, LT548096-LT548244, LT631550-LT631670 and LT962964-LT963174.

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