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Mining Eukaryotic Meta-Genomes
for Endosymbionts
Exploring the Asian citrus psyllid microbiome
Surya Saha1, Wayne B. Hunter2 and
Magdalen Lindeberg 1
1 Department of Plant Pathology and Plant-Microbe Biology, Cornell
University, Ithaca, NY, USA, 2 USDA-ARS, US Horticultural Research Lab, Fort
Peirce, FL, USA
GLBio 2013, Pittsburgh
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Slides : http://www.slideshare.net/suryasaha/surya-saha-glbio2013
Twitter: @SahaSurya
GLBio 2013, Pittsburgh
Acknowledgements
Funding
Magdalen Lindeberg
Cornell University
• J. Kent Morgan, USDA-ARS
• Mizuri Marutani-Hert, USDA-ARS
• Hong Huang, University of South Florida
Wayne Hunter
USDA-ARS
Justin Reese
Genformatic, LLC.
GLBio 2013, Pittsburgh
Figure 1. Workflow used to identify regions of reference genomes illuminated by
sequence reads from the Diaphorina citri metagenome data set.
HLB found in Florida
2005
Worldwide distribution of Citrus
Greening/Huanglongbing
1st scientific
report of HLB in
China – 1919
GLBio 2013, Pittsburgh
What is the impact of this disease?
Citrus – a 9.3 billion dollar industry in Florida and 1.2 billion dollars in California
• Leave agricultural practices unchanged - significant loss of production
• Begin expensive , labor intensive controls - increase cost of production
healthy infectedIncreased cost of citrus products for consumers
Between 2006 and 2011 greening had cost Florida
$4.5 billion in lost economic output, and 8,257 jobs.
University of Florida report, 2013
http://research.ufl.edu/publications/exploremagazine/spring-2013/citrus-greening.html
GLBio 2013, Pittsburgh
How it gets around:
Ca. Liberibacter asiaticus is vectored by
Asian Citrus Psyllid
Insect transmission greatly enhances
potential for rapid long distance spread
Psyllid feeds on many members of the citrus family
Once infected, each plant becomes a disease reservoir from
which uninfected psyllids can pick up bacteria
Ca. Liberibacter asiaticus
in citrus phloem cells
GLBio 2013, Pittsburgh
Liberibacter
psyllid citrus
Big picture for molecular interactions
Could lead to identification of
metabolically complementary
bacteria for co-culturing with
Liberibacter
Unculturable
GLBio 2013, Pittsburgh
Why endosymbionts?
 Significant impact on diverse host
processes
 Nutritional status
 Reproduction
 Lifespan
 Resistance to insecticides
 Means to explore population dynamics
and relatedness to other isolates
 Known examples of highly-evolved
host-symbiont relationship
 Buchnera and Aphids
 Psyllid microbiome diversity
 10 bacteria reported in ACP (Florida)
 5 additional bacteria reported in
closely related potato psyllid (B.
cockerelli)
Buchnera-derived essential amino
acids supporting the growth of pea
aphid larvae. [ Gündüz and Douglas
2009]
GLBio 2013, Pittsburgh
Candidate endosymbionts
Description Length (bp) Coverage
Length
(bp)
Klebsiella variicola At-22 chromosome, complete
genome 5,458,505 1.144% 307,111
Salmonella enterica subsp. enterica serovar Typhi str.
Ty2 chromosome, complete genome 4,791,961 1.266% 464,747
Staphylococcus epidermidis ATCC 12228
chromosome, complete genome 2,499,279 3.077% 60,415
Acidovorax avenae subsp. avenae ATCC 19860
chromosome, complete genome 5,482,170 0.473% 71,218
Acinetobacter sp. DR1 chromosome,complete
genome 4,152,543 2.763% 102,446
Herbaspirillum seropedicae SmR1 chromosome,
complete genome 5,513,887 0.949% 23,509
Wolbachia endosymbiont of Culex quinquefasciatus
Pel, complete genome 1,482,455 86.787% 1,140,899
Methylibium petroleiphilum PM1 chromosome,
complete genome 4,044,195 0.318% 20,107
Why Wolbachia?
 Known obligate association with up to 16% of insects
species
 Positive correlation of titer with Ca. liberibacer asiaticus
 Associated with Cytoplasmic Incompatibility in hosts
 Used as biocontrol in dengue fever and malaria
GLBio 2013, Pittsburgh
Read capture using baits
 Wolbachia endosymbiont of Drosophila melanogaster
 Wolbachia endosymbiont of Culex quinquefasciatus Pel (wPip)
 Wolbachia sp. wRi
 Wolbachia endosymbiont strain TRS of Brugia malayi
Dataset Total (bp) 100% 90% 85%
Paired-end 33,708,218,600 127,335,000 228,893,000 237,906,000
Mate-pair 2k 7,020,642,800 11,200 45,200 63,000
Mate-pair 5k 6,000,789,600 10,000 43,000 66,800
Mate-pair 10k 7,307,423,600 2,895,000 4,427,600 4,909,000
Results of mining putative wDi reads from the ACP metagenome
GLBio 2013, Pittsburgh
Assembler Contigs N50
Contigs >
1k
Length of
Contigs >
40k
VelvetOptimizer
(n50, 83 mer)
111 79935 53 807171
VelvetOptimizer
(n50/tbp, 95 mer)
118 84957 25 744357
MIRA3 167 23068 105 247976
Annotation
0 1000 2000
Total CDS
RNA
Functional - shared with wPip
Functional - wPip alone
Functional - not in wPip
wPip
MIRA3
VelvetOptimizer (n50/tbp, 95 mer)
VelvetOptimizer (n50, 83 mer)
Scaffolding
Description Contigs Longest N50
Contigs >
1k
SOPRA / wDi2 101 89608 41594 77
Minimus2 /
wDi1
99 106898 41594 76
Minimus2 /
wDi3
104 206691 52418 66
Workflow
wDi1 wDi2 wDi3
Total CDS 1176 1190 1183
RNA 36 36 36
Functional - shared
with wPip
608 610 608
Functional - wPip
alone
24 23 24
Functional - not in
wPip
23 22 23
Functional
annotation
using RAST
GLBio 2013, Pittsburgh
 660 core protein clusters per Wolbachia genome
 659 core protein cluster representatives found in wDi
 Missing core cluster consists entirely of hypotheticals
 32 lineage specific genes in wDi w.r.t. wPip
 All have unknown function
 11 have homologs in other endosymbionts of mosquito
Wolbachia endosymbiont of Drosophila melanogaster
Wolbachia wPip endosymbiont of Culex quinquefasciatus Pel
Wolbachia sp. wRi
Wolbachia endosymbiont strain TRS of Brugia malayi
0
200
400
600
800
1000
1200
1400
Total proteins
Core
Core
paralogous
Shared
Shared
paralogous Lineage
specific Lineage
specific
paralogous
OrthoMCL analysis of pan-proteome
 Core / Core paralogous
 Shared / Shared paralogous
 Lineage specific
GLBio 2013, Pittsburgh
Conclusions
 Targeted genome reconstruction strategy for endosymbionts
 Recommendations
 MIRA3 produced more fragmented but qualitatively better assemblies
than Velvet
 SOPRA and SSPACE are effective for scaffolding when coupled with
Minimus2
 Mapped regions on reference should be validated for uniqueness
 Screening out ribosomal regions prior to mapping reduces false
positives
 Caveats
 Missing lineage specific regions
 Low throughput method
GLBio 2013, Pittsburgh
https://github.com/chrishah/MITObim
Questions??
Slides : http://www.slideshare.net/suryasaha/surya-saha-glbio2013

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Mining Eukaryotic Meta-Genomes for Endosymbionts using Next-Generation Sequencing

  • 1. Mining Eukaryotic Meta-Genomes for Endosymbionts Exploring the Asian citrus psyllid microbiome Surya Saha1, Wayne B. Hunter2 and Magdalen Lindeberg 1 1 Department of Plant Pathology and Plant-Microbe Biology, Cornell University, Ithaca, NY, USA, 2 USDA-ARS, US Horticultural Research Lab, Fort Peirce, FL, USA GLBio 2013, Pittsburgh
  • 2. You are free to: Copy, share, adapt, or re-mix; Photograph, film, or broadcast; Blog, live-blog, or post video of; This presentation. Provided that: You attribute the work to its author and respect the rights and licenses associated with its components. Slide Concept by Cameron Neylon: http://cameronneylon.net/blog/some-slides-for-granting-permissions-or-not-in-presentations/ Slides : http://www.slideshare.net/suryasaha/surya-saha-glbio2013 Twitter: @SahaSurya GLBio 2013, Pittsburgh
  • 3. Acknowledgements Funding Magdalen Lindeberg Cornell University • J. Kent Morgan, USDA-ARS • Mizuri Marutani-Hert, USDA-ARS • Hong Huang, University of South Florida Wayne Hunter USDA-ARS Justin Reese Genformatic, LLC. GLBio 2013, Pittsburgh
  • 4. Figure 1. Workflow used to identify regions of reference genomes illuminated by sequence reads from the Diaphorina citri metagenome data set.
  • 5. HLB found in Florida 2005 Worldwide distribution of Citrus Greening/Huanglongbing 1st scientific report of HLB in China – 1919 GLBio 2013, Pittsburgh
  • 6. What is the impact of this disease? Citrus – a 9.3 billion dollar industry in Florida and 1.2 billion dollars in California • Leave agricultural practices unchanged - significant loss of production • Begin expensive , labor intensive controls - increase cost of production healthy infectedIncreased cost of citrus products for consumers Between 2006 and 2011 greening had cost Florida $4.5 billion in lost economic output, and 8,257 jobs. University of Florida report, 2013 http://research.ufl.edu/publications/exploremagazine/spring-2013/citrus-greening.html GLBio 2013, Pittsburgh
  • 7. How it gets around: Ca. Liberibacter asiaticus is vectored by Asian Citrus Psyllid Insect transmission greatly enhances potential for rapid long distance spread Psyllid feeds on many members of the citrus family Once infected, each plant becomes a disease reservoir from which uninfected psyllids can pick up bacteria Ca. Liberibacter asiaticus in citrus phloem cells GLBio 2013, Pittsburgh
  • 8. Liberibacter psyllid citrus Big picture for molecular interactions Could lead to identification of metabolically complementary bacteria for co-culturing with Liberibacter Unculturable GLBio 2013, Pittsburgh
  • 9. Why endosymbionts?  Significant impact on diverse host processes  Nutritional status  Reproduction  Lifespan  Resistance to insecticides  Means to explore population dynamics and relatedness to other isolates  Known examples of highly-evolved host-symbiont relationship  Buchnera and Aphids  Psyllid microbiome diversity  10 bacteria reported in ACP (Florida)  5 additional bacteria reported in closely related potato psyllid (B. cockerelli) Buchnera-derived essential amino acids supporting the growth of pea aphid larvae. [ Gündüz and Douglas 2009] GLBio 2013, Pittsburgh
  • 10. Candidate endosymbionts Description Length (bp) Coverage Length (bp) Klebsiella variicola At-22 chromosome, complete genome 5,458,505 1.144% 307,111 Salmonella enterica subsp. enterica serovar Typhi str. Ty2 chromosome, complete genome 4,791,961 1.266% 464,747 Staphylococcus epidermidis ATCC 12228 chromosome, complete genome 2,499,279 3.077% 60,415 Acidovorax avenae subsp. avenae ATCC 19860 chromosome, complete genome 5,482,170 0.473% 71,218 Acinetobacter sp. DR1 chromosome,complete genome 4,152,543 2.763% 102,446 Herbaspirillum seropedicae SmR1 chromosome, complete genome 5,513,887 0.949% 23,509 Wolbachia endosymbiont of Culex quinquefasciatus Pel, complete genome 1,482,455 86.787% 1,140,899 Methylibium petroleiphilum PM1 chromosome, complete genome 4,044,195 0.318% 20,107 Why Wolbachia?  Known obligate association with up to 16% of insects species  Positive correlation of titer with Ca. liberibacer asiaticus  Associated with Cytoplasmic Incompatibility in hosts  Used as biocontrol in dengue fever and malaria GLBio 2013, Pittsburgh
  • 11. Read capture using baits  Wolbachia endosymbiont of Drosophila melanogaster  Wolbachia endosymbiont of Culex quinquefasciatus Pel (wPip)  Wolbachia sp. wRi  Wolbachia endosymbiont strain TRS of Brugia malayi Dataset Total (bp) 100% 90% 85% Paired-end 33,708,218,600 127,335,000 228,893,000 237,906,000 Mate-pair 2k 7,020,642,800 11,200 45,200 63,000 Mate-pair 5k 6,000,789,600 10,000 43,000 66,800 Mate-pair 10k 7,307,423,600 2,895,000 4,427,600 4,909,000 Results of mining putative wDi reads from the ACP metagenome GLBio 2013, Pittsburgh
  • 12. Assembler Contigs N50 Contigs > 1k Length of Contigs > 40k VelvetOptimizer (n50, 83 mer) 111 79935 53 807171 VelvetOptimizer (n50/tbp, 95 mer) 118 84957 25 744357 MIRA3 167 23068 105 247976 Annotation 0 1000 2000 Total CDS RNA Functional - shared with wPip Functional - wPip alone Functional - not in wPip wPip MIRA3 VelvetOptimizer (n50/tbp, 95 mer) VelvetOptimizer (n50, 83 mer) Scaffolding Description Contigs Longest N50 Contigs > 1k SOPRA / wDi2 101 89608 41594 77 Minimus2 / wDi1 99 106898 41594 76 Minimus2 / wDi3 104 206691 52418 66 Workflow wDi1 wDi2 wDi3 Total CDS 1176 1190 1183 RNA 36 36 36 Functional - shared with wPip 608 610 608 Functional - wPip alone 24 23 24 Functional - not in wPip 23 22 23 Functional annotation using RAST GLBio 2013, Pittsburgh
  • 13.  660 core protein clusters per Wolbachia genome  659 core protein cluster representatives found in wDi  Missing core cluster consists entirely of hypotheticals  32 lineage specific genes in wDi w.r.t. wPip  All have unknown function  11 have homologs in other endosymbionts of mosquito Wolbachia endosymbiont of Drosophila melanogaster Wolbachia wPip endosymbiont of Culex quinquefasciatus Pel Wolbachia sp. wRi Wolbachia endosymbiont strain TRS of Brugia malayi 0 200 400 600 800 1000 1200 1400 Total proteins Core Core paralogous Shared Shared paralogous Lineage specific Lineage specific paralogous OrthoMCL analysis of pan-proteome  Core / Core paralogous  Shared / Shared paralogous  Lineage specific GLBio 2013, Pittsburgh
  • 14. Conclusions  Targeted genome reconstruction strategy for endosymbionts  Recommendations  MIRA3 produced more fragmented but qualitatively better assemblies than Velvet  SOPRA and SSPACE are effective for scaffolding when coupled with Minimus2  Mapped regions on reference should be validated for uniqueness  Screening out ribosomal regions prior to mapping reduces false positives  Caveats  Missing lineage specific regions  Low throughput method GLBio 2013, Pittsburgh