﻿<?xml version="1.0" encoding="utf-8"?><rss version="2.0"><channel><title>International Journal of Plant Genomics</title><link>http://www.hindawi.com</link><description>The latest articles from Hindawi Publishing Corporation</description><copyright>&amp;#169; 2012, Hindawi Publishing Corporation. All rights reserved.</copyright><item><title>Poor Homologous Synapsis 1 Interacts with Chromatin but Does Not Colocalise with ASYnapsis 1 during Early Meiosis in Bread Wheat</title><link>http://www.hindawi.com/journals/ijpg/2012/514398/</link><description>Chromosome pairing, synapsis, and DNA recombination are three key processes that occur during early meiosis. A previous study of Poor Homologous Synapsis 1 (PHS1) in maize suggested that PHS1 has a role in coordinating these three processes. Here we report the isolation of wheat (Triticum aestivum) PHS1 (TaPHS1), and its expression profile during and after meiosis. While the TaPHS1 protein has sequence similarity to other plant PHS1/PHS1-like proteins, it also possesses a unique region of oligopeptide repeat units. We show that TaPHS1 interacts with both single- and double-stranded DNA in vitro and provide evidence of the protein region that imparts the DNA-binding ability. Immunolocalisation data from assays conducted using antisera raised against TaPHS1 show that TaPHS1 associates with chromatin during early meiosis, with the signal persisting beyond chromosome synapsis. Furthermore, TaPHS1 does not appear to colocalise with the asynapsis protein (TaASY1) suggesting that these proteins are probably independently coordinated. Significantly, the data from the DNA-binding assays and 3-dimensional immunolocalisation of TaPHS1 during early meiosis indicates that TaPHS1 interacts with DNA, a function not previously observed in either the Arabidopsis or maize PHS1 homologues. As such, these results provide new insight into the function of PHS1 during early meiosis in bread wheat.</description><Author>Kelvin H. P. Khoo, Amanda J. Able, and Jason A. Able</Author><copyright>Copyright &amp;#xa9; 2012 Kelvin H. P. Khoo et al. All rights reserved.</copyright></item><item><title>Mutagenesis as a Tool in Plant Genetics, Functional Genomics, and Breeding</title><link>http://www.hindawi.com/journals/ijpg/2011/314829/</link><description>Plant mutagenesis is rapidly coming of age in the aftermath of recent developments in high-resolution molecular and biochemical techniques. By combining the high variation of mutagenised populations with novel screening methods, traits that are almost impossible to identify by conventional breeding are now being developed and characterised at the molecular level. This paper provides a comprehensive overview of the various techniques and workflows available to researchers today in the field of molecular breeding, and how these tools complement the ones already used in traditional breeding. Both genetic (Targeting Induced Local Lesions in Genomes; TILLING) and phenotypic screens are evaluated. Finally, different ways of bridging the gap between genotype and phenotype are discussed.</description><Author>Per Sikora, Aakash Chawade, Mikael Larsson, Johanna Olsson, and Olof Olsson</Author><copyright>Copyright &amp;#xa9; 2011 Per Sikora et al. All rights reserved.</copyright></item><item><title>Development of New Candidate Gene and EST-Based Molecular Markers for Gossypium Species</title><link>http://www.hindawi.com/journals/ijpg/2011/894598/</link><description>New source of molecular markers accelerate the efforts in improving cotton fiber traits and aid in developing high-density integrated genetic maps. We developed new markers based on candidate genes and G. arboreum EST sequences that were used for polymorphism detection followed by genetic and physical mapping. Nineteen gene-based markers were surveyed for polymorphism detection in 26 Gossypium species. Cluster analysis generated a phylogenetic tree with four major sub-clusters for 23 species while three species branched out individually. CAP method enhanced the rate of polymorphism of candidate gene-based markers between G. hirsutum and G. barbadense. Two hundred A-genome based SSR markers were designed after datamining of G. arboreum EST sequences (Mississippi Gossypium arboreum&amp;#x2009;&amp;#x2009;EST-SSR: MGAES). Over 70% of MGAES markers successfully produced amplicons while 65 of them demonstrated polymorphism between the parents of G. hirsutum and G. barbadense RIL population and formed 14 linkage groups. Chromosomal localization of both candidate gene-based and MGAES markers was assisted by euploid and hypoaneuploid CS-B analysis. Gene-based and MGAES markers were highly informative as they were designed from candidate genes and fiber transcriptome with a potential to be integrated into the existing cotton genetic and physical maps.</description><Author>Ramesh Buyyarapu, Ramesh V. Kantety, John Z. Yu, Sukumar Saha, and Govind C. Sharma</Author><copyright>Copyright &amp;#xa9; 2011 Ramesh Buyyarapu et al. All rights reserved.</copyright></item><item><title>Mutations in Lettuce Improvement</title><link>http://www.hindawi.com/journals/ijpg/2011/723518/</link><description>Lettuce is a major vegetable in western countries. Mutations generated genetic variations and played an important role in the domestication of the crop. Many traits derived from natural and induced mutations, such as dwarfing, early flowering, male sterility, and chlorophyll deficiency, are useful in physiological and genetic studies. Mutants were also used to develop new lettuce products including miniature and herbicide-tolerant cultivars. Mutant analysis was critical in lettuce genomic studies including identification and cloning of disease-resistance genes. Mutagenesis combined with genomic technology may provide powerful tools for the discovery of novel gene alleles. In addition to radiation and chemical mutagens, unconventional approaches such as tissue or protoplast culture, transposable elements, and space flights have been utilized to generate mutants in lettuce. Since mutation breeding is considered nontransgenic, it is more acceptable to consumers and will be explored more in the future for lettuce improvement.</description><Author>Beiquan Mou</Author><copyright>Copyright &amp;#xa9; 2011 Beiquan Mou. All rights reserved.</copyright></item><item><title>POPcorn: An Online Resource Providing Access to Distributed and Diverse Maize Project Data</title><link>http://www.hindawi.com/journals/ijpg/2011/923035/</link><description>The purpose of the online resource presented here, POPcorn (Project Portal for corn), is to enhance accessibility of maize genetic and genomic resources for plant biologists. Currently, many online locations are difficult to find, some are best searched independently, and individual project websites often degrade over time&amp;#8212;sometimes disappearing entirely. The POPcorn site makes available (1) a centralized, web-accessible resource to search and browse descriptions of ongoing maize genomics projects, (2) a single, stand-alone tool that uses web Services and minimal data warehousing to search for sequence matches in online resources of diverse offsite projects, and (3) a set of tools that enables researchers to migrate their data to the long-term model organism database for maize genetic and genomic information: MaizeGDB. Examples demonstrating POPcorn’s utility are provided herein.</description><Author>Ethalinda K. S. Cannon, Scott M. Birkett, Bremen L. Braun, Sateesh Kodavali, Douglas M. Jennewein, Alper Yilmaz, Valentin Antonescu, Corina Antonescu, Lisa C. Harper, Jack M. Gardiner, Mary L. Schaeffer, Darwin A. Campbell, Carson M. Andorf, Destri Andorf, Damon Lisch, Karen E. Koch, Donald R. McCarty, John Quackenbush, Erich Grotewold, Carol M. Lushbough, Taner Z. Sen, and Carolyn J. Lawrence</Author><copyright>Copyright &amp;#xa9; 2011 Ethalinda K. S. Cannon et al. All rights reserved.</copyright></item><item><title>How to Group Genes according to Expression Profiles?</title><link>http://www.hindawi.com/journals/ijpg/2011/261975/</link><description>The most commonly applied strategies for identifying genes with a common response profile are based on clustering algorithms. These methods have no explicit rules to define the appropriate number of groups of genes. Usually the number of clusters is decided on heuristic criteria or through the application of different methods proposed to assess the number of clusters in a data set. The purpose of this paper is to compare the performance of seven of these techniques, including traditional ones, and some recently proposed. All of them produce underestimations of the true number of clusters. However, within this limitation, the gDGC algorithm appears to be the best. It is the only one that explicitly states a rule for cutting a dendrogram on the basis of a testing hypothesis framework, allowing the user to calibrate the sensitivity, adjusting the significance level.</description><Author>Julio A. Di Rienzo, Silvia G. Valdano, and Paula Fern&amp;#225;ndez</Author><copyright>Copyright &amp;#xa9; 2011 Julio A. Di Rienzo et al. All rights reserved.</copyright></item><item><title>Chromosome Visualization Tool: A Whole Genome Viewer</title><link>http://www.hindawi.com/journals/ijpg/2011/373875/</link><description>CViT (chromosome visualization tool) is a Perl utility for quickly generating images of features on a whole genome at once. It reads GFF3-formated data representing chromosomes (linkage groups or pseudomolecules) and sets of features on those chromosomes. It can display features on any chromosomal unit system, including genetic (centimorgan), cytological (centiMcClintock), and DNA unit (base-pair) coordinates. CViT has been used to track sequencing progress (status of genome sequencing, location and number of gaps), to visualize BLAST hits on a whole genome view, to associate maps with one another, to locate regions of repeat densities to display syntenic regions, and to visualize centromeres and knobs on chromosomes.</description><Author>Ethalinda K. S. Cannon and Steven B. Cannon</Author><copyright>Copyright &amp;#xa9; 2011 Ethalinda K. S. Cannon and Steven B. Cannon. All rights reserved.</copyright></item><item><title>Comparative Transcriptomics  Reveals  129 Transcripts That Are  Temporally Regulated  during Anther Development and Meiotic Progression in Both Bread Wheat (Triticum aestivum) and Rice (Oryza sativa)</title><link>http://www.hindawi.com/journals/ijpg/2011/931898/</link><description>Meiosis is a specialised type of cell division in sexually reproducing organisms that generates genetic diversity and prevents chromosome doubling in successive generations. The last decade has seen forward and reverse genetic approaches identifying many genes in the plant kingdom which highlight similarities and differences in the mechanics of meiosis between taxonomic kingdoms. We present here a high throughput in silico analysis, using bread wheat and rice, which has generated a list of 129 transcripts containing genes with meiotic roles and some which are currently unknown.</description><Author>Wayne Crismani, Sanjay Kapoor, and Jason A. Able</Author><copyright>Copyright &amp;#xa9; 2011 Wayne Crismani et al. All rights reserved.</copyright></item><item><title>Differential Expression of Three Flavanone 3-Hydroxylase Genes in Grains and Coleoptiles of Wheat</title><link>http://www.hindawi.com/journals/ijpg/2011/369460/</link><description>Flavonoid pigments are known to accumulate in red grains and coleoptiles of wheat and are synthesized through the flavonoid biosynthetic pathway. Flavanone 3-hydroxylase (F3H) is a key enzyme at a diverging point of the flavonoid pathway leading to production of different pigments: phlobaphene, proanthocyanidin, and anthocyanin. We isolated three F3H genes from wheat and examined a relationship between their expression and tissue pigmentation. Three F3Hs are located on the telomeric region of the long arm of chromosomes 2A, 2B, and 2D, respectively, designated as F3H-A1, F3H-B1, and F3H-D1. The telomeric regions of the long arms of the chromosomes of homoeologous group 2 of wheat showed a syntenic relationship to the telomeric region of the long arm of rice chromosome 4, on which rice F3H gene was also located. All three genes were highly activated in the red grains and coleoptiles and appeared to be controlled by flavonoid regulators in each tissue.</description><Author>Eiko Himi, Masahiko Maekawa, and Kazuhiko Noda</Author><copyright>Copyright &amp;#xa9; 2011 Eiko Himi et al. All rights reserved.</copyright></item><item><title>Comparative Genomics in Perennial Ryegrass (Lolium perenne L.): Identification and Characterisation of an Orthologue for the Rice Plant Architecture-Controlling Gene OsABCG5</title><link>http://www.hindawi.com/journals/ijpg/2011/291563/</link><description>Perennial ryegrass is an important pasture grass in temperate regions. As a forage biomass-generating species, plant architecture-related characters provide key objectives for breeding improvement. In silico comparative genomics analysis predicted colocation between a previously identified QTL for plant type (erect versus prostrate growth) and the ortholocus of the rice OsABCG5 gene (LpABCG5), as well as related QTLs in other Poaceae species. Sequencing of an LpABCG5-containing BAC clone identified presence of a paralogue (LpABCG6) in the vicinity of the LpABCG5 locus, in addition to three other gene-like sequences. Comparative genomics involving five other 5 grass species (rice, Brachypodium, sorghum, maize, and foxtail millet) revealed conserved microsynteny in the ABCG5 ortholocus-flanking region. Gene expression profiling and phylogenetic analysis suggested that the two paralogues are functionally distinct. Fourteen additional ABCG5 gene family members, which may interact with the LpABCG5 gene, were identified through sequencing of transcriptomes from perennial ryegrass leaf, anther, and pistils. A larger-scale phylogenetic analysis of the ABCG gene family suggested conservation between major branches of the Poaceae family. This study identified the LpABCG5 gene as a candidate for the plant type determinant, suggesting that manipulation of gene expression may provide valuable phenotypes for perennial ryegrass breeding.</description><Author>Hiroshi Shinozuka, Noel O. I. Cogan, German C. Spangenberg, and John W. Forster</Author><copyright>Copyright &amp;#xa9; 2011 Hiroshi Shinozuka et al. All rights reserved.</copyright></item><item><title>Genes Encoding Callose Synthase and Phytochrome A Are Adjacent to a MAP3K&amp;#x03B1;-Like Gene in Beta vulgaris US H20</title><link>http://www.hindawi.com/journals/ijpg/2011/370548/</link><description>MAP3K&amp;#x03B1;, a gene that encodes a key conserved protein kinase, 
is responsible for initiating a rapid cascade of cellular events 
leading to localized cell death. Hypersensitive response, as it is 
termed, enables genetically resistant plants to limit microbial 
invasion under the right environmental conditions. Since knowledge 
of close physically linked genes is important for genome analysis 
and possibly for improving disease resistance, systematic DNA 
sequence analysis, gene annotation, and protein BLASTs were 
performed to identify and characterize genes in close physical 
proximity to a MAP3K&amp;#x03B1;-like gene in Beta vulgaris L. US H20. On the same 125&amp;#x2009;Kb BAC, callose synthase (BvCS) and phytochrome A (PhyA) genes were within 50&amp;#x2009;Kb of MAP3K&amp;#x03B1;. The close physical linkage of these genes may result from selection for coordinated responses to disease pressure. Bert, a new chromodomain-carrying gypsy-like LTR retrotransposon, resides within an intron of the BvCS gene, where it is transcribed from the opposing strand.</description><Author>L. David Kuykendall and Jonathan Y. Shao</Author><copyright>Copyright &amp;#xa9; 2011 L. David Kuykendall and Jonathan Y. Shao. All rights reserved.</copyright></item><item><title>Methylation, Transcription, and Rearrangements of Transposable Elements in Synthetic Allopolyploids</title><link>http://www.hindawi.com/journals/ijpg/2011/569826/</link><description>Transposable elements (TEs) constitute over 90&amp;#x0025; of the wheat genome. It was suggested that &amp;#8220;genomic stress&amp;#8221; such as hybridity or polyploidy might activate transposons. Intensive investigations of various polyploid systems revealed that allopolyploidization event is associated with widespread changes in genome structure, methylation, and expression involving low- and high-copy, coding and noncoding sequences. Massive demethylation and transcriptional activation of TEs were also observed in newly formed allopolyploids. Massive proliferation, however, was reported for very limited number of TE families in various polyploidy systems. The aim of this review is to summarize the accumulated data on genetic and epigenetic dynamics of TEs, particularly in synthetic allotetraploid and allohexaploid wheat species. In addition, the underlying mechanisms and the potential biological significance of TE dynamics following allopolyploidization are discussed.</description><Author>Beery Yaakov and Khalil Kashkush</Author><copyright>Copyright &amp;#xa9; 2011 Beery Yaakov and Khalil Kashkush. All rights reserved.</copyright></item><item><title>Proteomic Analysis of Soybean Roots under Aluminum Stress</title><link>http://www.hindawi.com/journals/ijpg/2011/282531/</link><description>Toxic levels of aluminum (Al) in acid soils inhibit root growth and cause substantial reduction in yields of Al-sensitive crops. Aluminum-tolerant cultivars detoxify Al through multiple mechanisms that are currently not well understood at genetic and molecular levels. To enhance our understanding of the molecular mechanisms involved in soybean Al tolerance and toxicity, we conducted proteomic analysis of soybean roots under Al stress using a tandem combination of 2-D-DIGE, mass spectrometry, and bioinformatics tools and  Al-tolerant (PI 416937) and Al-sensitive (Young) soybean genotypes at 6, 51 or 72 h of Al treatment. Comparison of the protein profile changes revealed that aluminum induced Al tolerance related proteins and enzymes in Al-tolerant PI 416937 but evoked proteins related to general stress response in Al-sensitive Young. Specifically, Al upregulated: malate dehydrogenase, enolase, malate oxidoreductase, and pyruvate dehydrogenase, in PI 416937 but not in Young. These enzymes contribute to increased synthesis of citrate, a key organic acid involved in Al detoxification. We postulate that simultaneous transgenic overexpression of several of these enzymes would be a robust genetic engineering strategy for developing Al-tolerant crops.</description><Author>Dechassa Duressa, Khairy Soliman, Robert Taylor, and Zachary Senwo</Author><copyright>Copyright &amp;#xa9; 2011 Dechassa Duressa et al. All rights reserved.</copyright></item><item><title>Marker-Assisted Breeding as Next-Generation Strategy for Genetic Improvement of Productivity and Quality: Can It Be Realized in Cotton?</title><link>http://www.hindawi.com/journals/ijpg/2011/670104/</link><description>The dawdling development in genetic improvement of cotton with conventional breeding program is chiefly due to lack of complete knowledge on and precise manipulation of fiber productivity and quality. Naturally available cotton continues to be a resource for the upcoming breeding program, and contemporary technologies to exploit the available natural variation are outlined in this paper for further improvement of fiber. Particularly emphasis is given to application, obstacles, and perspectives of marker-assisted breeding since it appears to be more promising in manipulating novel genes that are available in the cotton germplasm. Deployment of system quantitative genetics in marker-assisted breeding program would be essential to realize its role in cotton. At the same time, role of genetic engineering and in vitro mutagenesis cannot be ruled out in genetic improvement of cotton.</description><Author>N. Manikanda Boopathi, K. Thiyagu, B. Urbi, M. Santhoshkumar, A. Gopikrishnan, S. Aravind, Gat Swapnashri, and R. Ravikesavan</Author><copyright>Copyright &amp;#xa9; 2011 N. Manikanda Boopathi et al. All rights reserved.</copyright></item><item><title>EM Algorithm for Mapping Quantitative Trait Loci in Multivalent Tetraploids</title><link>http://www.hindawi.com/journals/ijpg/2010/216547/</link><description>Multivalent tetraploids that include many plant species, such as potato, sugarcane, and rose,
are of paramount importance to agricultural production and biological research. Quantitative trait locus (QTL) mapping in multivalent tetraploids is challenged by their unique cytogenetic properties, such as double reduction. We develop a statistical method for mapping multivalent tetraploid QTLs by considering these cytogenetic properties. This method is built in the mixture model-based framework and implemented with the EM algorithm. The method allows the simultaneous estimation of QTL positions, QTL effects, the chromosomal pairing factor, and the degree of double reduction as well as the assessment of the estimation precision of these parameters. We used simulated data to examine the statistical properties of the method and validate its utilization. The new method and its software will provide a useful tool for QTL mapping in multivalent tetraploids that undergo double reduction.</description><Author>Jiahan Li, Kiranmoy Das, Guifang Fu, Chunfa Tong, Yao Li, Christian Tobias, and Rongling Wu</Author><copyright>Copyright &amp;#xa9; 2010 Jiahan Li et al. All rights reserved.</copyright></item><item><title>Identification of Aluminum Responsive Genes in Al-Tolerant Soybean Line PI 416937</title><link>http://www.hindawi.com/journals/ijpg/2010/164862/</link><description>Soybean is one of the most aluminum (Al) sensitive plants. The complex inheritance of Al tolerance trait has so far undermined breeding efforts to develop Al-tolerant soybeans. Discovering the genetic factors underlying the Al tolerance mechanisms would undoubtedly accelerate the pace of such endeavor. As a first step toward this goal, we analyzed the transcriptome profile in roots of Al-tolerant soybean line PI 416937 comparing Al-treated and untreated control plants using DNA microarrays. Many genes involved in transcription activation, stress response, cell metabolism and signaling were differentially expressed. Patterns of gene expression and mechanisms of Al toxicity and tolerance suggest that Cys2His2 and ADR6 transcription activators, cell wall modifying enzymes, and phytosulfokines growth factor play role in soybean Al tolerance. Our data provide insights into the molecular mechanisms of soybean Al tolerance and will have practical value in genetic improvement of Al tolerance trait.</description><Author>Dechassa Duressa, Khairy Soliman, and Dongquan Chen</Author><copyright>Copyright &amp;#xa9; 2010 Dechassa Duressa et al. All rights reserved.</copyright></item><item><title>Significance Test and Genome Selection in Bayesian Shrinkage Analysis</title><link>http://www.hindawi.com/journals/ijpg/2010/893206/</link><description>Bayesian shrinkage analysis is the state-of-the-art method for whole genome analysis of quantitative traits. It can estimate the genetic effects for the entire genome using a dense marker map. The technique is now called genome selection. A nice property of the shrinkage analysis is that it can estimate effects of QTL as small as explaining 2&amp;#37; of the phenotypic variance in a typical sample size of 300&amp;#8211;500 individuals. In most cases, QTL can be detected with simple visual inspection of the entire genome for the effect because the false positive rate is low. As a Bayesian method, no significance test is needed. However, it is still desirable to put some confidences on the estimated QTL effects. We proposed to use the permutation test to draw empirical thresholds to declare significance of QTL under a predetermined genome wide type I error. With the permutation test, Bayesian shrinkage analysis can be routinely used for QTL detection.</description><Author>Xiaohong Che and Shizhong Xu</Author><copyright>Copyright &amp;#x00A9; 2010 Xiaohong Che and Shizhong Xu. All rights reserved.</copyright></item><item><title>Transcriptomic Analysis of Starch Biosynthesis in the Developing Grain of Hexaploid Wheat</title><link>http://www.hindawi.com/journals/ijpg/2009/407426/</link><description>The expression of genes involved in starch synthesis in wheat was analyzed together with the accumulation profiles of soluble sugars, starch, protein, and starch granule distribution  in developing caryopses obtained from the same biological materials used for profiling of gene expression using DNA microarrays. Multiple expression patterns were detected for the different starch biosynthetic gene isoforms, suggesting their relative importance through caryopsis development. Members of the ADP-glucose pyrophosphorylase, starch synthase, starch branching enzyme, and sucrose synthase gene families showed different expression profiles; expression of some members of these gene families coincided with a period of high accumulation of starch while others did not. A biphasic pattern was observed in the rates of starch and protein accumulation which paralleled changes in global gene expression. Metabolic and regulatory genes that show a pattern of expression similar to starch accumulation and granule size distribution were identified, suggesting their coinvolvement in these biological processes.</description><Author>Boryana S. Stamova, Debbie Laudencia-Chingcuanco, and Diane M. Beckles</Author><copyright>Copyright &amp;#x00A9; 2009 Boryana S. Stamova et al. All rights reserved.</copyright></item><item><title>Mapping Quantitative Trait Loci Using Distorted Markers</title><link>http://www.hindawi.com/journals/ijpg/2009/410825/</link><description>Quantitative trait locus (QTL) mapping is usually performed using markers that follow a Mendelian segregation ratio. We developed a new method of QTL mapping that can use markers with segregation distortion (non-Mendelian markers). An EM (expectation-maximization) algorithm is used to estimate QTL and SDL (segregation distortion loci) parameters. The joint analysis of QTL and SDL is particularly useful for selective genotyping. Application of the joint analysis is demonstrated using a real life data from a wheat QTL mapping experiment.</description><Author>Shizhong Xu and Zhiqiu Hu</Author><copyright>Copyright &amp;#x00A9; 2009 Shizhong Xu and Zhiqiu Hu. All rights reserved.</copyright></item><item><title>PROC QTL&amp;#8212;A SAS Procedure for Mapping Quantitative Trait Loci</title><link>http://www.hindawi.com/journals/ijpg/2009/141234/</link><description>Statistical analysis system (SAS) is the most comprehensive statistical analysis software package in the world. It offers data analysis for almost all experiments under various statistical models. Each analysis is performed using a particular subroutine, called a procedure (PROC). For example, PROC ANOVA performs analysis of variances. PROC QTL is a user-defined SAS procedure for mapping quantitative trait loci (QTL). It allows users to perform QTL mapping for continuous and discrete traits within the SAS platform. Users of PROC QTL are able to take advantage of all existing features offered by the general SAS software, for example, data management and graphical treatment. The current version of PROC QTL can perform QTL mapping for all line crossing experiments using maximum likelihood (ML), least square (LS), iteratively reweighted least square (IRLS), Fisher scoring (FISHER), Bayesian (BAYES), and empirical Bayes (EBAYES) methods.</description><Author>Zhiqiu Hu and Shizhong Xu</Author><copyright>Copyright &amp;#x00A9; 2009 Zhiqiu Hu and Shizhong Xu. All rights reserved.</copyright></item><item><title>STIFDB&amp;#8212;Arabidopsis Stress Responsive Transcription Factor DataBase</title><link>http://www.hindawi.com/journals/ijpg/2009/583429/</link><description>Elucidating the key players of molecular mechanism that mediate the complex stress-responses in plants system is an important step to develop improved variety of stress tolerant crops. Understanding the effects of different types of biotic and abiotic stress is a rapidly emerging domain in the area of plant research to develop better, stress tolerant plants. Information about the transcription factors, transcription factor binding sites, function annotation of proteins coded by genes expressed during abiotic stress (for example: drought, cold, salinity, excess light, abscisic acid, and oxidative stress) response will provide better understanding of this phenomenon. STIFDB is a database of abiotic stress responsive genes and their predicted abiotic transcription factor binding sites in Arabidopsis thaliana. We integrated 2269 genes upregulated in different stress related microarray experiments and surveyed their 1000&amp;#x02009;bp and 100&amp;#x02009;bp upstream regions and 5&amp;#x02032;UTR regions using the STIF algorithm and identified putative abiotic stress responsive transcription factor binding sites, which are compiled in the STIFDB database. STIFDB provides extensive information about various stress responsive genes and stress inducible transcription factors of Arabidopsis thaliana. STIFDB will be a useful resource for researchers to understand the abiotic stress regulome and transcriptome of this important model plant system.</description><Author>K. Shameer, S. Ambika, Susan Mary Varghese, N. Karaba, M. Udayakumar, and R. Sowdhamini</Author><copyright>Copyright &amp;#x00A9; 2009 K. Shameer et al. All rights reserved.</copyright></item><item><title>Structural Characterization and Expression Analysis of the SERK/SERL Gene Family in Rice (Oryza sativa)</title><link>http://www.hindawi.com/journals/ijpg/2009/539402/</link><description>Somatic embryogenesis (SE) is the developmental restructuring of somatic cells towards the embryogenic pathway and forms the basis of cellular totipotency in angiosperms. With the availability of full-length cDNA sequences from Knowledge-based Oryza Molecular Biological Encylopedia (KOME), we identified the leucine-rich repeat receptor-like kinase (LRR-RLK) genes from rice (Oryza sativa), which also encompasses genes involved in regulating somatic embryogenesis. Eight out of eleven of the rice SERK and SERL (SERK-like) genes have the TIGR annotation as (putative) brassinosteroid insensitive 1-associated receptor kinase (precursor). Real-time polymerase chain reaction analysis was undertaken to quantify transcript levels of these 11 genes. Most of these genes were upregulated by brassinosteroids although only a few of these displayed auxin induction. The expression profile of these genes is nearly uniform in the zygotic embryogenic tissue, but the expression pattern is more complex in the somatic embryogenic tissue. It is likely that OsSERKs and OsSERLs may be involved in somatic embryogenesis and also perform a role in morphogenesis and various other plant developmental processes. Functional validation of these somatic embryogenesis receptor-like kinase genes may help in elucidating their precise functions in regulating various facets of plant development.</description><Author>Bhumica Singla, Jitendra P. Khurana, and Paramjit Khurana</Author><copyright>Copyright &amp;#x00A9; 2009 Bhumica Singla et al. All rights reserved.</copyright></item><item><title>Advances in Maize Genomics and Their Value for Enhancing Genetic Gains from Breeding</title><link>http://www.hindawi.com/journals/ijpg/2009/957602/</link><description>Maize is an important crop for food, feed, forage, and fuel across tropical and temperate areas of the world. Diversity studies at genetic, molecular, and functional levels have revealed that, tropical maize germplasm, landraces, and wild relatives harbor a significantly wider range of genetic variation. Among all types of markers, SNP markers are increasingly the marker-of-choice for all genomics applications in maize breeding. Genetic mapping has been developed through conventional linkage mapping and more recently through linkage disequilibrium-based association analyses. Maize genome sequencing, initially focused on gene-rich regions, now aims for the availability of complete genome sequence. Conventional insertion mutation-based cloning has been complemented recently by EST- and map-based cloning. Transgenics and nutritional genomics are rapidly advancing fields targeting important agronomic traits including pest resistance and grain quality. Substantial advances have been made in methodologies for genomics-assisted breeding, enhancing progress in yield as well as abiotic and biotic stress resistances. Various genomic databases and informatics tools have been developed, among which MaizeGDB is the most developed and widely used by the maize research community. In the future, more emphasis should be given to the development of tools and strategic germplasm resources for more effective molecular breeding of tropical maize products.</description><Author>Yunbi Xu, Debra J. Skinner, Huixia Wu, Natalia Palacios-Rojas, Jose Luis Araus, Jianbing Yan, Shibin Gao, Marilyn L. Warburton, and Jonathan H. Crouch</Author><copyright>Copyright &amp;#x00A9; 2009 Yunbi Xu et al. All rights reserved.</copyright></item><item><title>QTL Mapping of a High Protein Digestibility Trait in Sorghum bicolor</title><link>http://www.hindawi.com/journals/ijpg/2009/471853/</link><description>Compared with other cereal grains, Sorghum bicolor shows lower protein digestibility. The low digestibility is thought to result from disulfide cross linking in the &amp;#x03B2;- and &amp;#x03B3;-kafirins. In contrast, the single recessive high digestibility/high lysine content (HD)
mutation which confers greater grain digestibility exists in sorghum that is thought to
result from reduced accumulation of &amp;#x03B3;-kafirin that allows greater access to the high digestible &amp;#x03B1;-kafarin fraction. In an effort to both clearly define the molecular basis for
the HD trait and develop tools to improve the introgression of this difficult-to-screen trait,
this study focuses on mapping the QTLs linked to this trait. While the HD trait has been
defined as a single recessive gene, our results uncovered that two major QTLs on
chromosome 1 are associated with protein digestibility&amp;#8212;one QTL (locus 1 from the HD
parent) unfavorably affects digestibility and one QTL (locus 2 from the HD parent) only
20&amp;#x2009;cM away favorably affects digestibility. A contrast analysis between genotypic
groups at these two loci shows that a higher level of protein digestibility may be
obtained when this linkage in repulsion is broken and favorable alleles are allowed to
recombine.</description><Author>Jennifer A. Winn, R. Esten Mason, Adriana L. Robbins, William L. Rooney, and Dirk B. Hays</Author><copyright>Copyright &amp;#x00A9; 2009 Jennifer A. Winn et al. All rights reserved.</copyright></item><item><title>Analysis of Gene Expression Profiles in Leaf Tissues of Cultivated Peanuts and Development of EST-SSR  Markers and Gene Discovery</title><link>http://www.hindawi.com/journals/ijpg/2009/715605/</link><description>Peanut is vulnerable to a range of foliar diseases such as spotted wilt caused by Tomato spotted wilt virus (TSWV), early (Cercospora arachidicola) and late (Cercosporidium personatum) leaf spots, southern stem rot (Sclerotium rolfsii), and sclerotinia blight (Sclerotinia minor). In this study, we report the generation of 17,376 peanut expressed sequence tags (ESTs) from leaf tissues of a peanut cultivar (Tifrunner, resistant to TSWV and leaf spots) and a breeding line (GT-C20, susceptible to TSWV and leaf spots). After trimming vector and discarding low quality sequences, a total of 14,432 high-quality ESTs were selected for further analysis and deposition to GenBank.  Sequence clustering resulted in 6,888 unique ESTs composed of 1,703 tentative consensus (TCs) sequences and 5185 singletons.  A large number of ESTs (5717) representing genes of unknown functions were also identified.  Among the unique sequences, there were 856 EST-SSRs identified.  A total of 290 new EST-based SSR markers were developed and examined for amplification and polymorphism in cultivated peanut and wild species. Resequencing information of selected amplified alleles revealed that allelic diversity could be attributed mainly to differences in repeat type and length in the SSR regions. In addition, a few additional INDEL mutations and substitutions were observed in the regions flanking the microsatellite regions. In addition, some defense-related transcripts were also identified, such as putative oxalate oxidase (EU024476) and NBS-LRR domains. EST data in this study have provided a new source of information for gene discovery and development of SSR markers in cultivated peanut.  A total of 16931 ESTs have been deposited to the NCBI GenBank database with accession numbers ES751523 to 
ES768453.</description><Author>Baozhu Guo, Xiaoping Chen, Yanbin Hong, Xuanqiang Liang, Phat Dang, Tim Brenneman, Corley Holbrook, and Albert Culbreath</Author><copyright>Copyright &amp;#x00A9; 2009 Baozhu Guo et al. All rights reserved.</copyright></item><item><title>Estimating the Broad-Sense Heritability of Early Growth of Cowpea</title><link>http://www.hindawi.com/journals/ijpg/2009/984521/</link><description>Cowpea is an important tropical crop. It provides a large proportion of the food resource for the African human population and their livestock. The yield and quality of cowpea have been dramatically improved through traditional breeding strategies for the past few decades. However, reports of heritability estimates for early growth of cowpea are rare. We designed a simple experiment to estimate the broad-sense heritability of early growth. We randomly selected 15 cowpea varieties among a total of 5000 cowpea accessions maintained in the cowpea breeding facility at the University of California, Riverside to examine the genetic determination of early growth of cowpea (measured as the height at day five after seeding). The estimated broad-sense heritability on the individual plant basis is 0.2190. However, the corresponding estimate on the plant mean basis (average of four plants) is 0.5198, which is very high for a quantitative trait. The high heritability may explain why traditional breeding for cowpea growth is so effective. Since the design of experiment and method of data analysis are novel, this report can serve as an educational note for students in the area of quantitative genetics and plant breeding.</description><Author>Nicole W. Xu, Shizhong Xu, and Jeff Ehlers</Author><copyright>Copyright &amp;#x00A9; 2009 Nicole W. Xu et al. All rights reserved.</copyright></item><item><title>A Nest of LTR Retrotransposons Adjacent the Disease Resistance-Priming Gene NPR1 in Beta vulgaris L. U.S. Hybrid H20</title><link>http://www.hindawi.com/journals/ijpg/2009/576742/</link><description>A nest of long terminal repeat (LTR) retrotransposons (RTRs), discovered by LTR_STRUC analysis, is near core genes encoding the NPR1 disease resistance-activating factor and a 
                  heat-shock-factor-(HSF-) like protein in sugarbeet hybrid US H20. SCHULTE, a 10&amp;#x02009;833&amp;#x2009;bp LTR retrotransposon, with 1372&amp;#x2009;bp LTRs that are 0.7&amp;#37; divergent, has two ORFs with unexpected introns but encoding a reverse transcriptase with rve and Rvt2 domains similar to Ty1/copia-type retrotransposons and a hypothetical protein. SCHULTE produced significant nucleotide BLAST alignments with repeat DNA elements from all four families of plants represented in the TIGR plant repeat database (PRD); the best nucleotide sequence alignment was to ToRTL1 in Lycopersicon esculentum. A second sugarbeet LTR retrotransposon, SCHMIDT, 11&amp;#x02009;565 bp in length, has 2561&amp;#x2009;bp LTRs that share 100&amp;#37; identity with each other and share 98-99&amp;#37; nucleotide sequence identity over 10&amp;#37; of their length with DRVs, a family of highly repetitive, relatively small DNA sequences that are widely dispersed over the sugarbeet genome. SCHMIDT encodes a complete gypsy-like polyprotein in a single ORF. Analysis using LTR_STRUC of an in silico deletion of both of the above two LTR retrotransposons found that SCHULTE and SCHMIDT had inserted within an older LTR retrotransposon, resulting in a nest that is only about 10&amp;#x2009;Kb upstream of NPR1 in sugarbeet hybrid US H20.</description><Author>David Kuykendall, Jonathan Shao, and Kenneth Trimmer</Author><copyright>Copyright &amp;#x00A9; 2009 David Kuykendall et al. All rights reserved.</copyright></item><item><title>A Solanum lycopersicum&amp;#x00D7;Solanum pimpinellifolium Linkage Map of Tomato Displaying 
  Genomic Locations of R-Genes, RGAs, and Candidate Resistance/Defense-Response ESTs</title><link>http://www.hindawi.com/journals/ijpg/2008/926090/</link><description>We have identified an accession (LA2093) within the tomato wild species Solanum pimpinellifolium with many desirable characteristics, including biotic and abiotic stress tolerance and good fruit quality. To utilize the full genetic potential of LA2093 in tomato breeding, we have developed a linkage map based on an F2  population of a cross between LA2093 and a tomato breeding line, using 115 RFLP, 94 EST, and 41 RGA markers. The map spanned 1002.4&amp;#x2009;cM  of the 12 tomato chromosomes with an average marker distance of 4.0&amp;#x2009;cM. The length of the map and linear order of the markers were in good agreement with the published maps of tomato. The ESTs were chosen based on their sequence similarities with known resistance or defense-response genes, signal-transduction factors, transcriptional regulators, and genes encoding pathogenesis-related proteins. Locations of several ESTs and RGAs coincided with locations of several known tomato resistance genes and quantitative resistance loci (QRLs), suggesting that candidate-gene approach may be effective in identifying and mapping new R genes. This map will be useful for marker-assisted exploitation of desirable traits in LA2093 and other S. pimpinellifolium accessions, and possibly for utilization of genetic variation within S. lycopersicum.</description><Author>Arun Sharma, Liping Zhang, David Ni&amp;#241;o-Liu, Hamid Ashrafi, and Majid R. Foolad</Author><copyright>Copyright &amp;#x00A9; 2008 Arun Sharma et al. All rights reserved.</copyright></item><item><title>Conserved Microsynteny of NPR1 with Genes Encoding a Signal Calmodulin-Binding Protein and a CK1-Class Protein Kinase in Beta vulgaris and Two Other Eudicots</title><link>http://www.hindawi.com/journals/ijpg/2008/391259/</link><description>NPR1 is a gene of central importance in enabling plants to resist microbial attack. Therefore, knowledge of nearby genes is important for genome analysis and possibly for improving disease resistance. In this study, systematic DNA sequence analysis, gene annotation, and protein BLASTs were performed to determine genes near the NPR1 gene in Beta vulgaris L., Medicago truncatula Gaertn, and Populus trichocarpa Torr. &amp;#38; Gray, and to access predicted function. Microsynteny was discovered for NPR1 with genes CaMP, encoding a chloroplast-targeted signal calmodulin-binding protein, and CK1PK, a CK1-class protein kinase. Conserved microsynteny of NPR1, CaMP, and CK1PK in three diverse species of eudicots suggests maintenance during evolution by positive selection for close proximity. Perhaps close physical linkage contributes to coordinated expression of these particular genes that may control critically important processes including nuclear events and signal transduction.</description><Author>David Kuykendall, Jonathan Shao, and Tammy Murphy</Author><copyright>Copyright &amp;#x00A9; 2008 David Kuykendall et al. All rights reserved.</copyright></item><item><title>TreeGenes: A Forest Tree Genome Database</title><link>http://www.hindawi.com/journals/ijpg/2008/412875/</link><description>The Dendrome Project and associated TreeGenes database serve the forest genetics research community through a curated and integrated web-based relational database. The research community is composed of approximately 2&amp;#x2009;000 members representing over 730 organizations worldwide. The database itself is composed of a wide range of genetic data from many forest trees with focused efforts on commercially important members of the Pinaceae family. The primary data types curated include species, publications, tree and DNA extraction information, genetic maps, molecular markers, ESTs, genotypic, and phenotypic data. There are currently ten main search modules or user access points within this PostgreSQL database. These access points allow users to navigate logically through the related data types. The goals of the Dendrome Project are to (1) provide a comprehensive resource for forest tree genomics data to facilitate gene discovery in related species, (2) develop interfaces that encourage the submission and integration of all genomic data, and to   (3) centralize and distribute existing and novel online tools for the research community that both support and ease analysis.  Recent developments have focused on increasing data content, functional annotations, data retrieval, and visualization tools.  TreeGenes was developed to provide a centralized web resource with analysis and visualization tools to support data storage and exchange.</description><Author>Jill L. Wegrzyn, Jennifer M. Lee, Brandon R. Tearse, and David B. Neale</Author><copyright>Copyright &amp;#x00A9; 2008 Jill L. Wegrzyn et al. All rights reserved.</copyright></item></channel></rss>
