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Flavobacterium enshiense DK69 is a Gram-negative, aerobic, rod-shaped, non-motile and non-flagellated bacterium that belongs to the family Flavobacteriaceae in the phylum Bacteroidetes. The high quality draft genome of strain DK69 was obtained and has a 3,375,260 bp genome size with a G + C content of 37.7 mol % and 2848 protein coding genes. In addition, we sequenced five more genomes of Flavobacterium type strains and performed a comparative genomic analysis among 12 Flavobacterium genomes. The results show some specific genes within the fish pathogenic Flavobacterium strains which provide information for further analysis the pathogenicity. [ABSTRACT FROM AUTHOR]

Flavihumibacter solisilvae 3-3 (= KACC 17917 = JCM 19891) represents a type strain of the genus Flavihumibacter within the family Chitinophagaceae. This strain can use various sole carbon sources, making it applicable in industry and bioremediation. In this study, the draft genomic information of F. solisilvae 3-3 is described. F. solisilvae 3-3 owns a genome size of 5.41 Mbp, 47 % GC content and a total of 4,698 genes, including 4,215 protein coding genes, 439 pseudo genes and 44 RNA encoding genes. Analysis of its genome reveals high correlation between the genotypes and the phenotypes. [ABSTRACT FROM AUTHOR]

Members of genus Skermanella were described as Gram-negative, motile, aerobic, rod-shaped, obligate-heterotrophic bacteria and unable to fix nitrogen. In this study, the genome sequence of Skermanella stibiiresistens SB22 is reported. Phylogenetic analysis using core proteins confirmed the phylogenetic assignment based on 16S rRNA gene sequences. Strain SB22 has all the proteins for complete glycolysis, tricarboxylic acid cycle and pentose phosphate pathway. The RuBisCO encoding genes cbbL1S1 and nitrogenase delta subunit gene anfG are absent, consistent with its inability to fix carbon and nitrogen, respectively. In addition, the genome possesses a series of flagellar assembly and chemotaxis genes to ensure its motility. [ABSTRACT FROM AUTHOR]

Background: Plant architecture attributes, such as plant height, ear height, and internode number, have played an important role in the historical increases in grain yield, lodging resistance, and biomass in maize (Zea mays L.). Analyzing the genetic basis of variation in plant architecture using high density QTL mapping will be of benefit for the breeding of maize for many traits. However, the low density of molecular markers in existing genetic maps has limited the efficiency and accuracy of QTL mapping. Genotyping by sequencing (GBS) is an improved strategy for addressing a complex genome via next-generation sequencing technology. GBS has been a powerful tool for SNP discovery and high-density genetic map construction. The creation of ultra-high density genetic maps using large populations of advanced recombinant inbred lines (RILs) is an efficient way to identify QTL for complex agronomic traits., Results: A set of 314 RILs derived from inbreds Ye478 and Qi319 were generated and subjected to GBS. A total of 137,699,000 reads with an average of 357,376 reads per individual RIL were generated, which is equivalent to approximately 0.07-fold coverage of the maize B73 RefGen_V3 genome for each individual RIL. A high-density genetic map was constructed using 4183 bin markers (100-Kb intervals with no recombination events). The total genetic distance covered by the linkage map was 1545.65 cM and the average distance between adjacent markers was 0.37 cM with a physical distance of about 0.51 Mb. Our results demonstrated a relatively high degree of collinearity between the genetic map and the B73 reference genome. The quality and accuracy of the bin map for QTL detection was verified by the mapping of a known gene, pericarp color 1 (P1), which controls the color of the cob, with a high LOD value of 80.78 on chromosome 1. Using this high-density bin map, 35 QTL affecting plant architecture, including 14 for plant height, 14 for ear height, and seven for internode number were detected across three environments. Interestingly, pQTL10, which influences all three of these traits, was stably detected in three environments on chromosome 10 within an interval of 14.6 Mb. Two MYB transcription factor genes, GRMZM2G325907 and GRMZM2G108892, which might regulate plant cell wall metabolism are the candidate genes for qPH10., Conclusions: Here, an ultra-high density accurate linkage map for a set of maize RILs was constructed using a GBS strategy. This map will facilitate identification of genes and exploration of QTL for plant architecture in maize. It will also be helpful for further research into the mechanisms that control plant architecture while also providing a basis for marker-assisted selection.

Background: Kernel weight, controlled by quantitative trait loci (QTL), is an important component of grain yield in maize. Cytokinins (CKs) participate in determining grain morphology and final grain yield in crops. ZmIPT2, which is expressed mainly in the basal transfer cell layer, endosperm, and embryo during maize kernel development, encodes an isopentenyl transferase (IPT) that is involved in CK biosynthesis., Results: The coding region of ZmIPT2 was sequenced across a panel of 175 maize inbred lines that are currently used in Chinese maize breeding programs. Only 16 single nucleotide polymorphisms (SNPs) and seven haplotypes were detected among these inbred lines. Nucleotide diversity (π) within the ZmIPT2 window and coding region were 0.347 and 0.0047, respectively, and they were significantly lower than the mean nucleotide diversity value of 0.372 for maize Chromosome 2 (P < 0.01). Association mapping revealed that a single nucleotide change from cytosine (C) to thymine (T) in the ZmIPT2 coding region, which converted a proline residue into a serine residue, was significantly associated with hundred kernel weight (HKW) in three environments (P <0.05), and explained 4.76% of the total phenotypic variation. In vitro characterization suggests that the dimethylallyl diphospate (DMAPP) IPT activity of ZmIPT2-T is higher than that of ZmIPT2-C, as the amounts of adenosine triphosphate (ATP), adenosine diphosphate (ADP), and adenosine monophosphate (AMP) consumed by ZmIPT2-T were 5.48-, 2.70-, and 1.87-fold, respectively, greater than those consumed by ZmIPT2-C. The effects of artificial selection on the ZmIPT2 coding region were evaluated using Tajima's D tests across six subgroups of Chinese maize germplasm, with the most frequent favorable allele identified in subgroup PB (Partner B)., Conclusions: These results showed that ZmIPT2, which is associated with kernel weight, was subjected to artificial selection during the maize breeding process. ZmIPT2-T had higher IPT activity than ZmIPT2-C, and this favorable allele for kernel weight could be used in molecular marker-assisted selection for improvement of grain yield components in Chinese maize breeding programs.