Feltus, FA (F Alex)
Latest papers:
Andrew H Paterson,
John E Bowers,
Rémy Bruggmann,
Inna Dubchak,
Jane Grimwood,
Heidrun Gundlach,
Georg Haberer,
Uffe Hellsten,
Therese Mitros,
Alexander Poliakov,
Jeremy Schmutz,
Manuel Spannagl,
Haibao Tang,
Xiyin Wang,
Thomas Wicker,
Arvind K Bharti,
Jarrod Chapman,
F Alex Feltus,
Udo Gowik,
Igor V Grigoriev,
Eric Lyons,
Christopher A Maher,
Mihaela Martis,
Apurva Narechania,
Robert P Otillar,
Bryan W Penning,
Asaf A Salamov,
Yu Wang,
Lifang Zhang,
Nicholas C Carpita,
Michael Freeling,
Alan R Gingle,
C Thomas Hash,
Beat Keller,
Patricia Klein,
Stephen Kresovich,
Maureen C McCann,
Ray Ming,
Daniel G Peterson,
Mehboob-ur-Rahman,
Doreen Ware,
Peter Westhoff,
Klaus F X Mayer,
Joachim Messing,
Daniel S Rokhsar
Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602, USA. paterson@uga.edu
Sorghum, an African grass related to sugar cane and maize, is grown for food, feed, fibre and fuel. We present an initial analysis of the approximately 730-megabase Sorghum bicolor (L.) Moench genome, placing approximately 98% of genes in their chromosomal context using whole-genome shotgun sequence validated by genetic, physical and syntenic information. Genetic recombination is largely confined to about one-third of the sorghum genome with gene order and density similar to those of rice. Retrotransposon accumulation in recombinationally recalcitrant heterochromatin explains the approximately 75% larger genome size of sorghum compared with rice. Although gene and repetitive DNA distributions have been preserved since palaeopolyploidization approximately 70 million years ago, most duplicated gene sets lost one member before the sorghum-rice divergence. Concerted evolution makes one duplicated chromosomal segment appear to be only a few million years old. About 24% of genes are grass-specific and 7% are sorghum-specific. Recent gene and microRNA duplications may contribute to sorghum's drought tolerance.
Ray Ming,
Shaobin Hou,
Yun Feng,
Qingyi Yu,
Alexandre Dionne-Laporte,
Jimmy H Saw,
Pavel Senin,
Wei Wang,
Benjamin V Ly,
Kanako L T Lewis,
Steven L Salzberg,
Lu Feng,
Meghan R Jones,
Rachel L Skelton,
Jan E Murray,
Cuixia Chen,
Wubin Qian,
Junguo Shen,
Peng Du,
Moriah Eustice,
Eric Tong,
Haibao Tang,
Eric Lyons,
Robert E Paull,
Todd P Michael,
Kerr Wall,
Danny W Rice,
Henrik Albert,
Ming-Li Wang,
Yun J Zhu,
Michael Schatz,
Niranjan Nagarajan,
Ricelle A Acob,
Peizhu Guan,
Andrea Blas,
Ching Man Wai,
Christine M Ackerman,
Yan Ren,
Chao Liu,
Jianmei Wang,
Jianping Wang,
Jong-Kuk Na,
Eugene V Shakirov,
Brian Haas,
Jyothi Thimmapuram,
David Nelson,
Xiyin Wang,
John E Bowers,
Andrea R Gschwend,
Arthur L Delcher,
Ratnesh Singh,
Jon Y Suzuki,
Savarni Tripathi,
Kabi Neupane,
Hairong Wei,
Beth Irikura,
Maya Paidi,
Ning Jiang,
Wenli Zhang,
Gernot Presting,
Aaron Windsor,
Rafael Navajas-Pérez,
Manuel J Torres,
F Alex Feltus,
Brad Porter,
Yingjun Li,
A Max Burroughs,
Ming-Cheng Luo,
Lei Liu,
David A Christopher,
Stephen M Mount,
Paul H Moore,
Tak Sugimura,
Jiming Jiang,
Mary A Schuler,
Vikki Friedman,
Thomas Mitchell-Olds,
Dorothy E Shippen,
Claude W Depamphilis,
Jeffrey D Palmer,
Michael Freeling,
Andrew H Paterson,
Dennis Gonsalves,
Lei Wang,
Maqsudul Alam
[1] Hawaii Agriculture Research Center, Aiea, Hawaii 96701, USA [2] Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA [3] These authors contributed equally to this work.
Papaya, a fruit crop cultivated in tropical and subtropical regions, is known for its nutritional benefits and medicinal applications. Here we report a 3x draft genome sequence of 'SunUp' papaya, the first commercial virus-resistant transgenic fruit tree to be sequenced. The papaya genome is three times the size of the Arabidopsis genome, but contains fewer genes, including significantly fewer disease-resistance gene analogues. Comparison of the five sequenced genomes suggests a minimal angiosperm gene set of 13,311. A lack of recent genome duplication, atypical of other angiosperm genomes sequenced so far, may account for the smaller papaya gene number in most functional groups. Nonetheless, striking amplifications in gene number within particular functional groups suggest roles in the evolution of tree-like habit, deposition and remobilization of starch reserves, attraction of seed dispersal agents, and adaptation to tropical daylengths. Transgenesis at three locations is closely associated with chloroplast insertions into the nuclear genome, and with topoisomerase I recognition sites. Papaya offers numerous advantages as a system for fruit-tree functional genomics, and this draft genome sequence provides the foundation for revealing the basis of Carica's distinguishing morpho-physiological, medicinal and nutritional properties.
Most cited papers:
Andrew H Paterson,
John E Bowers,
Rémy Bruggmann,
Inna Dubchak,
Jane Grimwood,
Heidrun Gundlach,
Georg Haberer,
Uffe Hellsten,
Therese Mitros,
Alexander Poliakov,
Jeremy Schmutz,
Manuel Spannagl,
Haibao Tang,
Xiyin Wang,
Thomas Wicker,
Arvind K Bharti,
Jarrod Chapman,
F Alex Feltus,
Udo Gowik,
Igor V Grigoriev,
Eric Lyons,
Christopher A Maher,
Mihaela Martis,
Apurva Narechania,
Robert P Otillar,
Bryan W Penning,
Asaf A Salamov,
Yu Wang,
Lifang Zhang,
Nicholas C Carpita,
Michael Freeling,
Alan R Gingle,
C Thomas Hash,
Beat Keller,
Patricia Klein,
Stephen Kresovich,
Maureen C McCann,
Ray Ming,
Daniel G Peterson,
Mehboob-ur-Rahman,
Doreen Ware,
Peter Westhoff,
Klaus F X Mayer,
Joachim Messing,
Daniel S Rokhsar
Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602, USA. paterson@uga.edu
Sorghum, an African grass related to sugar cane and maize, is grown for food, feed, fibre and fuel. We present an initial analysis of the approximately 730-megabase Sorghum bicolor (L.) Moench genome, placing approximately 98% of genes in their chromosomal context using whole-genome shotgun sequence validated by genetic, physical and syntenic information. Genetic recombination is largely confined to about one-third of the sorghum genome with gene order and density similar to those of rice. Retrotransposon accumulation in recombinationally recalcitrant heterochromatin explains the approximately 75% larger genome size of sorghum compared with rice. Although gene and repetitive DNA distributions have been preserved since palaeopolyploidization approximately 70 million years ago, most duplicated gene sets lost one member before the sorghum-rice divergence. Concerted evolution makes one duplicated chromosomal segment appear to be only a few million years old. About 24% of genes are grass-specific and 7% are sorghum-specific. Recent gene and microRNA duplications may contribute to sorghum's drought tolerance.
Jacques Simard,
Marie-Louise Ricketts,
Sébastien Gingras,
Penny Soucy,
F Alex Feltus,
Michael H Melner
Cancer Genomics Laboratory, T3-57, Laval University Medical Center (CHUL) Research Center, 2705 Laurier Boulevard, Québec City, Québec, Canada. jacques.simard@crchul.ulaval.ca
The 3beta-hydroxysteroid dehydrogenase/Delta(5)-Delta(4) isomerase (3beta-HSD) isoenzymes are responsible for the oxidation and isomerization of Delta(5)-3beta-hydroxysteroid precursors into Delta(4)-ketosteroids, thus catalyzing an essential step in the formation of all classes of active steroid hormones. In humans, expression of the type I isoenzyme accounts for the 3beta-HSD activity found in placenta and peripheral tissues, whereas the type II 3beta-HSD isoenzyme is predominantly expressed in the adrenal gland, ovary, and testis, and its deficiency is responsible for a rare form of congenital adrenal hyperplasia. Phylogeny analyses of the 3beta-HSD gene family strongly suggest that the need for different 3beta-HSD genes occurred very late in mammals, with subsequent evolution in a similar manner in other lineages. Therefore, to a large extent, the 3beta-HSD gene family should have evolved to facilitate differential patterns of tissue- and cell-specific expression and regulation involving multiple signal transduction pathways, which are activated by several growth factors, steroids, and cytokines. Recent studies indicate that HSD3B2 gene regulation involves the orphan nuclear receptors steroidogenic factor-1 and dosage-sensitive sex reversal adrenal hypoplasia congenita critical region on the X chromosome gene 1 (DAX-1). Other findings suggest a potential regulatory role for STAT5 and STAT6 in transcriptional activation of HSD3B2 promoter. It was shown that epidermal growth factor (EGF) requires intact STAT5; on the other hand IL-4 induces HSD3B1 gene expression, along with IL-13, through STAT 6 activation. However, evidence suggests that multiple signal transduction pathways are involved in IL-4 mediated HSD3B1 gene expression. Indeed, a better understanding of the transcriptional factors responsible for the fine control of 3beta-HSD gene expression may provide insight into mechanisms involved in the functional cooperation between STATs and nuclear receptors as well as their potential interaction with other signaling transduction pathways such as GATA proteins. Finally, the elucidation of the molecular basis of 3beta-HSD deficiency has highlighted the fact that mutations in the HSD3B2 gene can result in a wide spectrum of molecular repercussions, which are associated with the different phenotypic manifestations of classical 3beta-HSD deficiency and also provide valuable information concerning the structure-function relationships of the 3beta-HSD superfamily. Furthermore, several recent studies using type I and type II purified enzymes have elegantly further characterized structure-function relationships responsible for kinetic differences and coenzyme specificity.
Mesh-terms: Adrenal Glands :: enzymology; Amino Acid Sequence; Animals; Base Sequence; Evolution, Molecular; Female; Gene Expression Regulation, Enzymologic; Gonads :: enzymology; Humans; Isoenzymes; Male; Molecular Sequence Data; Multienzyme Complexes :: chemistry; Multienzyme Complexes :: deficiency; Multienzyme Complexes :: genetics; Multienzyme Complexes :: metabolism; Organ Specificity; Phylogeny; Placenta :: enzymology; Pregnancy; Progesterone Reductase :: chemistry; Progesterone Reductase :: deficiency; Progesterone Reductase :: genetics; Progesterone Reductase :: metabolism; Promoter Regions (Genetics):: genetics; Species Specificity; Steroid Isomerases :: chemistry; Steroid Isomerases :: deficiency; Steroid Isomerases :: genetics; Steroid Isomerases :: metabolism; Structure-Activity Relationship;
Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602, USA.
Dense coverage of the rice genome with polymorphic DNA markers is an invaluable tool for DNA marker-assisted breeding, positional cloning, and a wide range of evolutionary studies. We have aligned drafts of two rice subspecies, indica and japonica, and analyzed levels and patterns of genetic diversity. After filtering multiple copy and low quality sequence, 408,898 candidate DNA polymorphisms (SNPs/INDELs) were discerned between the two subspecies. These filters have the consequence that our data set includes only a subset of the available SNPs (in particular excluding large numbers of SNPs that may occur between repetitive DNA alleles) but increase the likelihood that this subset is useful: Direct sequencing suggests that 79.8%+/- 7.5% of the in silico SNPs are real. The SNP sample in our database is not randomly distributed across the genome. In fact, 566 rice genomic regions had unusually high (328 contigs/48.6 Mb/13.6% of genome) or low (237 contigs/64.7 Mb/18.1% of genome) polymorphism rates. Many SNP-poor regions were substantially longer than most SNP-rich regions, covering up to 4 Mb, and possibly reflecting introgression between the respective gene pools that may have occurred hundreds of years ago. Although 46.2%+/- 8.3% of the SNPs differentiate other pairs of japonica and indica genotypes, SNP rates in rice were not predictive of evolutionary rates for corresponding genes in another grass species, sorghum. The data set is freely available at http://www.plantgenome.uga.edu/snp.
Mesh-terms: Breeding; Genome, Plant; Molecular Sequence Data; Oryza sativa :: classification; Oryza sativa :: genetics; Polymorphism, Single Nucleotide; Recombination, Genetic; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. ; Sequence Alignment; Sorghum; Variation (Genetics) ;
Ray Ming,
Shaobin Hou,
Yun Feng,
Qingyi Yu,
Alexandre Dionne-Laporte,
Jimmy H Saw,
Pavel Senin,
Wei Wang,
Benjamin V Ly,
Kanako L T Lewis,
Steven L Salzberg,
Lu Feng,
Meghan R Jones,
Rachel L Skelton,
Jan E Murray,
Cuixia Chen,
Wubin Qian,
Junguo Shen,
Peng Du,
Moriah Eustice,
Eric Tong,
Haibao Tang,
Eric Lyons,
Robert E Paull,
Todd P Michael,
Kerr Wall,
Danny W Rice,
Henrik Albert,
Ming-Li Wang,
Yun J Zhu,
Michael Schatz,
Niranjan Nagarajan,
Ricelle A Acob,
Peizhu Guan,
Andrea Blas,
Ching Man Wai,
Christine M Ackerman,
Yan Ren,
Chao Liu,
Jianmei Wang,
Jianping Wang,
Jong-Kuk Na,
Eugene V Shakirov,
Brian Haas,
Jyothi Thimmapuram,
David Nelson,
Xiyin Wang,
John E Bowers,
Andrea R Gschwend,
Arthur L Delcher,
Ratnesh Singh,
Jon Y Suzuki,
Savarni Tripathi,
Kabi Neupane,
Hairong Wei,
Beth Irikura,
Maya Paidi,
Ning Jiang,
Wenli Zhang,
Gernot Presting,
Aaron Windsor,
Rafael Navajas-Pérez,
Manuel J Torres,
F Alex Feltus,
Brad Porter,
Yingjun Li,
A Max Burroughs,
Ming-Cheng Luo,
Lei Liu,
David A Christopher,
Stephen M Mount,
Paul H Moore,
Tak Sugimura,
Jiming Jiang,
Mary A Schuler,
Vikki Friedman,
Thomas Mitchell-Olds,
Dorothy E Shippen,
Claude W Depamphilis,
Jeffrey D Palmer,
Michael Freeling,
Andrew H Paterson,
Dennis Gonsalves,
Lei Wang,
Maqsudul Alam
[1] Hawaii Agriculture Research Center, Aiea, Hawaii 96701, USA [2] Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA [3] These authors contributed equally to this work.
Papaya, a fruit crop cultivated in tropical and subtropical regions, is known for its nutritional benefits and medicinal applications. Here we report a 3x draft genome sequence of 'SunUp' papaya, the first commercial virus-resistant transgenic fruit tree to be sequenced. The papaya genome is three times the size of the Arabidopsis genome, but contains fewer genes, including significantly fewer disease-resistance gene analogues. Comparison of the five sequenced genomes suggests a minimal angiosperm gene set of 13,311. A lack of recent genome duplication, atypical of other angiosperm genomes sequenced so far, may account for the smaller papaya gene number in most functional groups. Nonetheless, striking amplifications in gene number within particular functional groups suggest roles in the evolution of tree-like habit, deposition and remobilization of starch reserves, attraction of seed dispersal agents, and adaptation to tropical daylengths. Transgenesis at three locations is closely associated with chloroplast insertions into the nuclear genome, and with topoisomerase I recognition sites. Papaya offers numerous advantages as a system for fruit-tree functional genomics, and this draft genome sequence provides the foundation for revealing the basis of Carica's distinguishing morpho-physiological, medicinal and nutritional properties.
Department of Radiation Oncology and Winship Cancer Institute, Emory University School of Medicine, 1365-C Clifton Road. NE, Atlanta, GA 30322, USA.
Epigenetic silencing involving the aberrant methylation of promoter region CpG islands is widely recognized as a tumor suppressor silencing mechanism in cancer. However, the molecular pathways underlying aberrant DNA methylation remain elusive. Recently we showed that, on a genome-wide level, CpG island loci differ in their intrinsic susceptibility to aberrant methylation and that this susceptibility can be predicted based on underlying sequence context. These data suggest that there are sequence/structural features that contribute to the protection from or susceptibility to aberrant methylation. Here we use motif elicitation coupled with classification techniques to identify DNA sequence motifs that selectively define methylation-prone or methylation-resistant CpG islands. Motifs common to 28 methylation-prone or 47 methylation-resistant CpG island-containing genomic fragments were determined using the MEME and MAST algorithms (). The five most discriminatory motifs derived from methylation-prone sequences were found to be associated with CpG islands in general and were nonrandomly distributed throughout the genome. In contrast, the eight most discriminatory motifs derived from the methylation-resistant CpG islands were randomly distributed throughout the genome. Interestingly, this latter group tended to associate with Alu and other repetitive sequences. Used together, the frequency of occurrence of these motifs successfully discriminated methylation-prone and methylation-resistant CpG island groups with an accuracy of 87% after 10-fold cross-validation. The motifs identified here are candidate methylation-targeting or methylation-protection DNA sequences.
Junkang Rong,
F Alex Feltus,
Vijay N Waghmare,
Gary J Pierce,
Peng W Chee,
Xavier Draye,
Yehoshua Saranga,
Robert J Wright,
Thea A Wilkins,
O Lloyd May,
C Wayne Smith,
John R Gannaway,
Jonathan F Wendel,
Andrew H Paterson
University of Georgia.
QTL mapping experiments yield heterogeneous results due to the use of different genotypes, environments, and sampling variation. Compilation of QTL mapping results yields a more complete picture of the genetic control of a trait, and reveals patterns in organization of trait variation. A total of 432 QTLs mapped in one diploid and 10 tetraploid interspecific cotton populations were aligned using a reference map and depicted in a CMap resource. Early demonstrations that genes from the non-fiber-producing diploid ancestor contribute to tetraploid lint fiber genetics gain further support from multiple populations and environments, and advanced-generation studies detecting QTLs of small phenotypic effect. Both tetraploid subgenomes contribute QTLs at largely non-homoeologous locations, suggesting divergent selection acting on many corresponding genes before and/or after polyploid formation. QTL correspondence across studies was only modest, suggesting that additional QTLs for the target traits remain to be discovered. Crosses between closely-related genotypes differing by single-gene mutants yield profoundly different QTL landscapes, suggesting that fiber variation involves a complex network of interacting genes. Members of the lint fiber development network appear clustered, with cluster members showing heterogeneous phenotypic effects. Meta-analysis linked to synteny-based and expression-based information provides clues about specific genes and families involved in QTL networks.
Thomas Wicker,
Jon S Robertson,
Stefan R Schulze,
F Alex Feltus,
Vincent Magrini,
Jason A Morrison,
Elaine R Mardis,
Richard K Wilson,
Daniel G Peterson,
Andrew H Paterson,
Robert Ivarie
Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602, USA.
Cot-based cloning and sequencing (CBCS) is a powerful tool for isolating and characterizing the various repetitive components of any genome, combining the established principles of DNA reassociation kinetics with high-throughput sequencing. CBCS was used to generate sequence libraries representing the high, middle, and low-copy fractions of the chicken genome. Sequencing high-copy DNA of chicken to about 2.7 x coverage of its estimated sequence complexity led to the initial identification of several new repeat families, which were then used for a survey of the newly released first draft of the complete chicken genome. The analysis provided insight into the diversity and biology of known repeat structures such as CR1 and CNM, for which only limited sequence data had previously been available. Cot sequence data also resulted in the identification of four novel repeats (Birddawg, Hitchcock, Kronos, and Soprano), two new subfamilies of CR1 repeats, and many elements absent from the chicken genome assembly. Multiple autonomous elements were found for a novel Mariner-like transposon, Galluhop, in addition to nonautonomous deletion derivatives. Phylogenetic analysis of the high-copy repeats CR1, Galluhop, and Birddawg provided insight into two distinct genome dispersion strategies. This study also exemplifies the power of the CBCS method to create representative databases for the repetitive fractions of genomes for which only limited sequence data is available.
Mesh-terms: Animals; Chickens :: genetics; DNA Transposable Elements :: genetics; Evolution, Molecular; Gene Library; Genetic Vectors :: genetics; Genome; Repetitive Sequences, Nucleic Acid :: genetics; Research Support, U.S. Gov't, Non-P.H.S. ; Retroelements :: genetics; Terminal Repeat Sequences :: genetics;
