The Pacific Biosciences de novo assembled genome dataset from a parthenogenetic New Zealand wild population of the longhorned tick, Haemaphysalis longicornis Neumann, 1901.

The longhorned tick, Haemaphysalis longicornis, feeds upon a wide range of bird and mammalian hosts. Mammalian hosts include cattle, deer, sheep, goats, humans, and horses. This tick is known to transmit a number of pathogens causing tick-borne diseases, and was the vector of a recent serious outbreak of oriental theileriosis in New Zealand. A New Zealand-USA consortium was established to sequence, assemble, and annotate the genome of this tick, using ticks obtained from New Zealand's North Island. In New Zealand, the tick is considered exclusively parthenogenetic and this trait was deemed useful for genome assembly. Very high molecular weight genomic DNA was sequenced on the Illumina HiSeq4000 and the long-read Pac Bio Sequel platforms. Twenty-eight SMRT cells produced a total of 21.3 million reads which were assembled with Canu on a reserved supercomputer node with access to 12 TB of RAM, running continuously for over 24 days. The final assembly dataset consisted of 34,211 contigs with an average contig length of 215,205 bp. The quality of the annotated genome was assessed by BUSCO analysis, an approach that provides quantitative measures for the quality of an assembled genome. Over 95% of the BUSCO gene set was found in the assembled genome. Only 48 of the 1066 BUSCO genes were missing and only 9 were present in a fragmented condition. The raw sequencing reads and the assembled contigs/scaffolds are archived at the National Center for Biotechnology Information.

The genetic architecture of genome-wide recombination rate variation in allopolyploid wheat revealed by nested association mapping.

Recombination affects the fate of alleles in populations by imposing constraints on the reshuffling of genetic information. Understanding the genetic basis of these constraints is critical for manipulating the recombination process to improve the resolution of genetic mapping, and reducing the negative effects of linkage drag and deleterious genetic load in breeding. Using sequence-based genotyping of a wheat nested association mapping (NAM) population of 2,100 recombinant inbred lines created by crossing 29 diverse lines, we mapped QTL affecting the distribution and frequency of 102 000 crossovers (CO). Genome-wide recombination rate variation was mostly defined by rare alleles with small effects together explaining up to 48.6% of variation. Most QTL were additive and showed predominantly trans-acting effects. The QTL affecting the proximal COs also acted additively without increasing the frequency of distal COs. We showed that the regions with decreased recombination carry more single nucleotide polymorphisms (SNPs) with possible deleterious effects than the regions with a high recombination rate. Therefore, our study offers insights into the genetic basis of recombination rate variation in wheat and its effect on the distribution of deleterious SNPs across the genome. The identified trans-acting additive QTL can be utilized to manipulate CO frequency and distribution in the large polyploid wheat genome opening the possibility to improve the efficiency of gene pyramiding and reducing the deleterious genetic load in the low-recombining pericentromeric regions of chromosomes.

A haplotype map of allohexaploid wheat reveals distinct patterns of selection on homoeologous genomes.

BACKGROUND: Bread wheat is an allopolyploid species with a large, highly repetitive genome. To investigate the impact of selection on variants distributed among homoeologous wheat genomes and to build a foundation for understanding genotype-phenotype relationships, we performed population-scale re-sequencing of a diverse panel of wheat lines. RESULTS: A sample of 62 diverse lines was re-sequenced using the whole exome capture and genotyping-by-sequencing approaches. We describe the allele frequency, functional significance, and chromosomal distribution of 1.57 million single nucleotide polymorphisms and 161,719 small indels. Our results suggest that duplicated homoeologous genes are under purifying selection. We find contrasting patterns of variation and inter-variant associations among wheat genomes; this, in addition to demographic factors, could be explained by differences in the effect of directional selection on duplicated homoeologs. Only a small fraction of the homoeologous regions harboring selected variants overlapped among the wheat genomes in any given wheat line. These selected regions are enriched for loci associated with agronomic traits detected in genome-wide association studies. CONCLUSIONS: Evidence suggests that directional selection in allopolyploids rarely acted on multiple parallel advantageous mutations across homoeologous regions, likely indicating that a fitness benefit could be obtained by a mutation at any one of the homoeologs. Additional advantageous variants in other homoelogs probably either contributed little benefit, or were unavailable in populations subjected to directional selection. We hypothesize that allopolyploidy may have increased the likelihood of beneficial allele recovery by broadening the set of possible selection targets.

A trifunctional enzyme with glutathione S-transferase, glutathione peroxidase and superoxide dismutase activity.

Superoxide dismutase (SOD), glutathione peroxidase (GPX), glutathione S-transferase (GST) and glutathione reductase (GR) play crucial roles in balancing the production and decomposition of reactive oxygen species (ROS) in living organisms. These enzymes act cooperatively and synergistically to scavenge ROS, as not one of them can singlehandedly clear all forms of ROS. In order to imitate the synergy of the enzymes, we designed and generated a recombinant protein, which comprises of a Schistosoma japonicum GST (SjGST) and a bifunctional 35-mer peptide with SOD and GPX activities. The engineered protein demonstrated SOD, GPX and GST activities simultaneously. This trifunctional enzyme with SOD, GPX and GST activities is expected to be the best ROS scavenger.

Proteomic analysis of macrophages: a potential way to identify novel proteins associated with activation of macrophages for tumor cell killing.

One major mechanism through which macrophages effectively kill tumor cells requires cell to cell contact, indicating that certain molecules expressed on cell surface of activated macrophages may mediate the tumoricidal capability. Tumor necrosis factor (TNF) and nitric oxide (NO) are the two classical mediators of tumor cell death. However, evidence of discrepancy is accumulating indicating these known mediators do not appear to account for the broad and potent tumoricidal activity of macrophages. To obtain a full repertoire of tumoricidal activation-associated membrane proteins, we combined one-dimensional SDS-PAGE with capillary liquid chromatography-tandem mass spectrometry (LC-MS/MS). Using this technique, we identified 454 activated macrophage specifically expressed proteins with extremely high confidence, including most known activation markers of macrophages, such as NO synthase (iNOS), Ym1, cyclooxygenase, etc. Membrane bound TNF-alpha was also identified on activated macrophages. However, it was also detected on thioglycolate elicited macrophages, indicating this molecule may not play a key role in conjugation-dependent tumor cell killing. In contrast, although NO has not been assigned as an effector molecule of conjugation-dependent tumoricidal pathway, iNOS was identified from membrane fraction of activated macrophages, suggesting NO may be involved in conjugation-dependent tumoricidal mechanism, because iNOS association with plasma membrane is ideally suited to deliver NO directly into the contacted tumor cells. This research provides not only new insights into macrophage conjugation-dependent tumoricidal mechanisms, but also a valuable data set of macrophage activation associated membrane proteins, thus providing better understanding of the functional mechanisms of macrophages in anti-tumor and other biological processes.

Proteomic analysis of macrophages: a new way to identify novel cell-surface antigens.

Macrophages are involved in many important biological processes and membrane proteins are the key effector molecules for their function. However, membrane proteins are difficult to analyze by 2-DE based methods because of their intrinsic tendency to self-aggregate during the first dimension separation (IEF). To circumvent this, we combined one-dimensional SDS-PAGE with capillary liquid chromatography-tandem mass spectrometry (LC-MS/MS). Using this technique, we identified 458 GO annotated membrane proteins with extremely high confidence, including most known markers of peritoneal macrophages (e.g., CD11b, F4/80, CD14, CD18, CD86, CD44, CD16 and Toll-like receptor). Thirteen other CD antigens (CD243, CD98, CD107a, CD107b, CD36, CD97, CD205, CD206, CD180, CD191, CD300, CD45and CD29), and 18 Ras-related small GTPases were also identified. In addition to those known macrophage membrane proteins, a significant number of novel proteins have also been identified. This research not only provides a technique to study membrane proteins, but also a valuable dataset of macrophage antigens, thus providing better understanding of the functional mechanisms of macrophages in many biological processes.