Health expenditure and reimbursement, total and per capita, China 2004–2011 (in US $).

<p>Note:</p><p>①Total medical expenditure = CHF. 1.2 + CHF. 2.1 + CHF. 2.2(<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0124995#pone.0124995.t001" target="_blank">Table 1</a>) – Unspent BSHI funds (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0124995#pone.0124995.t003" target="_blank">Table 3</a>)</p><p>②Total reimbursement = CHF. 1.2 + CHF. 2.1(<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0124995#pone.0124995.t001" target="_blank">Table 1</a>) – Unspent BSHI funds (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0124995#pone.0124995.t003" target="_blank">Table 3</a>)</p><p>③Total OOP = CHF. 2.2(<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0124995#pone.0124995.t001" target="_blank">Table 1</a>).</p><p>Health expenditure and reimbursement, total and per capita, China 2004–2011 (in US $).</p

National Reimbursement Ratios, China 2004–2011 (%).

<p>Note:</p><p>①Individual pay ratio = ((OOP per capita)/MEPC + Insurance coverage – 1) / Insurance coverage. See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0124995#pone.0124995.t004" target="_blank">Table 4</a> for MEPC</p><p>②National Reimbursement Ratio = 1 – Individual pay ratio.</p><p>National Reimbursement Ratios, China 2004–2011 (%).</p

Trends in the National Reimbursement Ratio in China, 2004–2011.

<p>The height of bowls indicates the reimbursement level of the China Health Insurance System, and the volume of bowls indicates the population coverage under the China Health Insurance System.</p

Unspent BSHI funds, 2004–2011 (US$, in billions).

<p>Source of data: National Health and Family Planning Commission of China: <i>China Statistical Yearbook of Health and Family Planning 2013</i>. Beijing: 2013.</p><p>Unspent BSHI funds, 2004–2011 (US$, in billions).</p

Supplementary material

Supplementary materia

Additional file 2 from Restriction site-associated DNA sequencing for SNP discovery and high-density genetic map construction in southern catfish (<i>Silurus meridionalis</i>)

The summary of the sequencing data production (Clean Data

Additional file 5 from Restriction site-associated DNA sequencing for SNP discovery and high-density genetic map construction in southern catfish (<i>Silurus meridionalis</i>)

The statistics of the tags, stacks, alleles and SNPs in the F1 populatio

Additional file 3 from Restriction site-associated DNA sequencing for SNP discovery and high-density genetic map construction in southern catfish (<i>Silurus meridionalis</i>)

Single-nucleotide polymorphism (SNP) markers and high-density genetic maps are important resources for marker-assisted selection, mapping of quantitative trait loci (QTLs) and genome structure analysis. Although linkage maps in certain catfish species have been obtained, high-density maps remain unavailable in the economically important southern catfish (<i>Silurus meridionalis</i>). Recently, developed restriction site-associated DNA (RAD) markers have proved to be a promising tool for SNP detection and genetic map construction. The objective of the present study was to construct a high-density linkage map using SNPs generated by next-generation RAD sequencing in <i>S. meridionalis</i> for future genetic and genomic studies. An F1 population of 100 individuals was obtained by intraspecific crossing of two wild heterozygous individuals. In total, 77 634 putative high-quality bi-allelic SNPs between the parents were discovered by mapping the parents' paired-end RAD reads onto the reference contigs from both parents, of which 54.7% were transitions and 45.3% were transversions (transition/transversion ratio of 1.2). Finally, 26 714 high-quality RAD markers were grouped into 29 linkage groups by using de novo clustering methods (Stacks). Among these markers, 4514 were linked to the female genetic map, 23 718 to the male map and 6715 effective loci were linked to the integrated map spanning 5918.31 centimorgans (cM), with an average marker interval of 0.89 cM. High-resolution genetic maps are a useful tool for both marker-assisted breeding and various genome investigations in catfish, such as sequence assembly, gene localization, QTL detection and genome structure comparison. Hence, such a high-density linkage map will serve as a valuable resource for comparative genomics and fine-scale QTL mapping in catfish species

Additional file 1 from Restriction site-associated DNA sequencing for SNP discovery and high-density genetic map construction in southern catfish (<i>Silurus meridionalis</i>)

Single-nucleotide polymorphism (SNP) markers and high-density genetic maps are important resources for marker-assisted selection, mapping of quantitative trait loci (QTLs) and genome structure analysis. Although linkage maps in certain catfish species have been obtained, high-density maps remain unavailable in the economically important southern catfish (<i>Silurus meridionalis</i>). Recently, developed restriction site-associated DNA (RAD) markers have proved to be a promising tool for SNP detection and genetic map construction. The objective of the present study was to construct a high-density linkage map using SNPs generated by next-generation RAD sequencing in <i>S. meridionalis</i> for future genetic and genomic studies. An F1 population of 100 individuals was obtained by intraspecific crossing of two wild heterozygous individuals. In total, 77 634 putative high-quality bi-allelic SNPs between the parents were discovered by mapping the parents' paired-end RAD reads onto the reference contigs from both parents, of which 54.7% were transitions and 45.3% were transversions (transition/transversion ratio of 1.2). Finally, 26 714 high-quality RAD markers were grouped into 29 linkage groups by using de novo clustering methods (Stacks). Among these markers, 4514 were linked to the female genetic map, 23 718 to the male map and 6715 effective loci were linked to the integrated map spanning 5918.31 centimorgans (cM), with an average marker interval of 0.89 cM. High-resolution genetic maps are a useful tool for both marker-assisted breeding and various genome investigations in catfish, such as sequence assembly, gene localization, QTL detection and genome structure comparison. Hence, such a high-density linkage map will serve as a valuable resource for comparative genomics and fine-scale QTL mapping in catfish species

Additional file 4 from Restriction site-associated DNA sequencing for SNP discovery and high-density genetic map construction in southern catfish (<i>Silurus meridionalis</i>)

The putative SNPs between two parent