A multiple alignment workflow shows the effect of repeat masking and parameter tuning on alignment in plants
Open accessAbstract
Alignments of multiple genomes are a cornerstone of comparative genomics, but generating these alignments remains technically challenging and often impractical. We developed the msa_pipeline workflow (https://bitbucket.org/bucklerlab/msa_pipeline) to allow practical and sensitive multiple alignment of diverged plant genomes and calculation of conservation scores with minimal user inputs. As high repeat content and genomic divergence are substantial challenges in plant genome alignment, we also explored the effect of different masking approaches and parameters of the LAST aligner using genome assemblies of 33 grass species. Compared with conventional masking with RepeatMasker, a masking approach based on k ‐mers (nucleotide sequences of k length) increased the alignment rate of coding sequence and noncoding functional regions by 25 and 14%, respectively. We further found that default alignment parameters generally perform well, but parameter tuning can increase the alignment rate for noncoding functional regions by over 52% compared with default LAST settings. Finally, by increasing alignment sensitivity from the default baseline, parameter tuning can increase the number of noncoding sites that can be scored for conservation by over 76%. Overall, tuning of masking and alignment parameters can generate optimized multiple alignments to drive biological discovery in plants.
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Tools like LASTZ and MULTIZ have been designed to tackle the challenges of aligning divergent genomes, enabling the alignment of divergent genomes.
“However, tools like LASTZ and MULTIZ have been designed to tackle these challenges, enabling the alignment of divergent genomes [25,69].”
From Whole-Genome Alignment: Methods, Challenges, and Future Directions (2024) · cites this paper as [69]
The Introduction identifies LASTZ as a pairwise genome-alignment tool, and Methods (Evaluation of alignments; page unavailable) says the interspecies-alignment pipeline Cactus relies on LASTZ. Features and implementation of msa_pipeline links to a multiz repository for its multiple-alignment program, ROAST, but the paper does not establish that MULTIZ itself was designed to align divergent genomes. Its explicit claim of suitability for diverged interspecies genomes concerns LAST, not LASTZ. (LLM, conf=0.82)
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Cites
Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes
Siepel, A., Bejerano, G., Pedersen, J. S., Hinrichs, A. S., Hou, M., Rosenbloom, K., Clawson, H., Spieth, J., Hillier, L. W., Richards, S., et al. (2005) · Genome Research · doi:10.1101/gr.3715005 · Cited by 4,408 · see citing works
Self-citationIdentifying a High Fraction of the Human Genome to be under Selective Constraint Using GERP++
Davydov, E. V., Goode, D. L., Sirota, M., Cooper, G. M., Sidow, A., & Batzoglou, S. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001025 · Cited by 1,757 · see citing works
Progressive Cactus is a multiple-genome aligner for the thousand-genome era
Armstrong, J., Hickey, G., Diekhans, M., Fiddes, I. T., Novak, A. M., Deran, A., Fang, Q., Xie, D., Feng, S., Stiller, J., et al. (2020) · Nature · doi:10.1038/s41586-020-2871-y · Cited by 586 · cited 3× · see citing works
“Many tools are available for pairwise or multiple alignment of genome sequences (Armstrong et al., 2020; Frith & Kawaguchi, 2015; Marçais et al., 2018; Minkin & Medvedev, 2020).”
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Research works printed but not linked: 28
- Armstrong, J., Fiddes, I. T., Diekhans, M., & Paten, B. (2019). Whole‐genome alignment and comparative annotation. Annual Review of Animal Biosciences, 7, 41– 64. 10.1146/annurev-animal-020518-115005 30379572 PMC6450745 · DOI
- Bayer, P. E., Edwards, D., & Batley, J. (2018). Bias in resistance gene prediction due to repeat masking. Nature Plants, 4, 762– 765. 10.1038/s41477-018-0264-0 30287950 · DOI
- Chowdhury, B., & Garai, G. (2017). A review on multiple sequence alignment from the perspective of genetic algorithm. Genomics, 109(5–6), 419– 431. 10.1016/j.ygeno.2017.06.007 28669847 · DOI
- Christin, P.‐A., Spriggs, E., Osborne, C. P., Strömberg, C. A. E., Salamin, N., & Edwards, E. J. (2014). Molecular dating, evolutionary rates, and the age of the grasses. Systematic Biology, 63, 153– 165. 10.1093/sysbio/syt072 24287097 · DOI
- Contreras‐Moreira, B., Filippi, C. V., Naamati, G., García Girón, C., Allen, J. E., & Flicek, P. (2021). K‐mer counting and curated libraries drive efficient annotation of repeats in plant genomes. Plant Genome, 14, e20143. 10.1002/tpg2.20143 34562304 PMC7614178 · DOI
- Cotton, J. L., Wysocki, W. P., Clark, L. G., Kelchner, S. A., Pires, J. C., Edger, P. P., Mayfield‐Jones, D., & Duvall, M. R. (2015). Resolving deep relationships of PACMAD grasses: A phylogenomic approach. BMC Plant Biology, 15, 1– 11. 10.1186/s12870-015-0563-9 26160195 PMC4498559 · DOI
- Feng, S., Stiller, J., Deng, Y., Armstrong, J., Fang, Q., Reeve, A. H., Xie, D., & Zhang, G. (2020). Dense sampling of bird diversity increases power of comparative genomics. Nature, 587, 252– 257. 10.1038/s41586-020-2873-9 33177665 PMC7759463 · DOI · Paper page
- Frith, M. C., Hamada, M., & Horton, P. (2010). Parameters for accurate genome alignment. BMC Bioinformatics, 11, 80. 10.1186/1471-2105-11-80 20144198 PMC2829014 · DOI
- Frith, M. C., & Noé, L. (2014). Improved search heuristics find 20,000 new alignments between human and mouse genomes. Nucleic Acids Research, 42, e59. 10.1093/nar/gku104 24493737 PMC3985675 · DOI
- Frith, M. C., & Kawaguchi, R. (2015). Split‐alignment of genomes finds orthologies more accurately. Genome Biology, 16, 106. 10.1186/s13059-015-0670-9 25994148 PMC4464727 · DOI
- Girgis, H. Z. (2015). Red: An intelligent, rapid, accurate tool for detecting repeats de‐novo on the genomic scale. BMC Bioinformatics, 16, 227. 10.1186/s12859-015-0654-5 26206263 PMC4513396 · DOI
- Guo Stephen, H., & Moose, P. (2003). Conserved noncoding sequences among cultivated cereal genomes identify candidate regulatory sequence elements and patterns of promoter evolution. The Plant Cell, 15, 1143– 1158. 10.1105/tpc.010181 12724540 PMC153722 · DOI
- Joly‐Lopez, Z., Platts, A. E., Gulko, B., Choi, J. Y., Groen, S. C., Zhong, X., Siepel, A., & Purugganan, M. D. (2020). An inferred fitness consequence map of the rice genome. Nature Plants, 6, 119– 130. 10.1038/s41477-019-0589-3 32042156 PMC7446671 · DOI
- Li, H. (2018). Minimap2: Pairwise alignment for nucleotide sequences. Bioinformatics, 34, 3094– 3100. 10.1093/bioinformatics/bty191 29750242 PMC6137996 · DOI · Paper page
- Lin, H. N., & Hsu, W. L. (2020). GSAlign: An efficient sequence alignment tool for intra‐species genomes. BMC Genomics, 21, 182. 10.1186/s12864-020-6569-1 32093618 PMC7041101 · DOI
- Lu, Z., Marand, A. P., Ricci, W. A., Ethridge, C. L., Zhang, X., & Schmitz, R. J. (2019). The prevalence, evolution and chromatin signatures of plant regulatory elements. Nature Plants, 5, 1250– 1259. 10.1038/s41477-019-0548-z 31740772 · DOI
- Marçais, G., Delcher, A. L., Phillippy, A. M., Coston, R., Salzberg, S. L., & Zimin, A. (2018). MUMmer4: A fast and versatile genome alignment system. PLoS Computational Biology, 14, e1005944. 10.1371/journal.pcbi.1005944 29373581 PMC5802927 · DOI · Paper page
- Minkin, I., & Medvedev, P. (2020). Scalable multiple whole‐genome alignment and locally collinear block construction with SibeliaZ. Nature Communications, 11, 6327. 10.1038/s41467-020-19777-8 PMC7728760 33303762 · DOI · Paper page
- Paradis, E., & Schliep, K. (2018). Ape 5.0: An environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics, 35, 526– 528. 10.1093/bioinformatics/bty633 30016406 · DOI
- Pollard, K. S., Hubisz, M. J., Rosenbloom, K. R., & Siepel, A. (2010). Detection of nonneutral substitution rates on mammalian phylogenies. Genome Research, 20, 110– 121. 10.1101/gr.097857.109 19858363 PMC2798823 · DOI · Paper page
- Ricci, W. A., Lu, Z., Ji, L., Marand, A. P., Ethridge, C. L., Murphy, N. G., Noshay, J. N., & Zhang, X. (2019). Widespread long‐range cis‐regulatory elements in the maize genome. Nature Plants, 5, 1237– 1249. 10.1038/s41477-019-0547-0 31740773 PMC6904520 · DOI
- Sharma, V., & Hiller, M. (2017). Increased alignment sensitivity improves the usage of genome alignments for comparative gene annotation. Nucleic Acids Research, 45, 8369– 8377. 10.1093/nar/gkx554 28645144 PMC5737078 · DOI
- Song, B., Wang, H., Wu, Y., Rees, E., Gates, D. J., Burch, M., Bradbury, P. J., & Buckler, E. S. (2020). Constrained non‐coding sequence provides insights into regulatory elements and loss of gene expression in maize. Genome Research, 31, 1245– 1257. 10.1101/gr.266528.120 PMC8256870 34045362 · DOI
- Springer, N. M., Anderson, S. N., Andorf, C. M., Ahern, K. R., Bai, F., Barad, O., Barbazuk, W. B., & Brutnell, T. P. (2018). The maize W22 genome provides a foundation for functional genomics and transposon biology. Nature Genetics, 50, 1282– 1288. 10.1038/s41588-018-0158-0 30061736 · DOI
- Stitzer, M. C., Anderson, S. N., Springer, N. M., & Ross‐Ibarra, J. (2019). The genomic ecosystem of transposable elements in maize. bioRxiv. 10.1101/559922 PMC8547701 34648488 · DOI
- Sun, S., Zhou, Y., Chen, J., Shi, J., Zhao, H., Zhao, H., Song, W., & Lai, J. (2018). Extensive intraspecific gene order and gene structural variations between Mo17 and other maize genomes. Nature Genetics, 50, 1289– 1295. 10.1038/s41588-018-0182-0 30061735 · DOI
- Wang, Y., Tang, H., Debarry, J. D., Tan, X., Li, J., Wang, X., Lee, T.‐H., & Paterson, A. H. (2012). MCScanX: A toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Research, 40, e49. 10.1093/nar/gkr1293 22217600 PMC3326336 · DOI
- Zhou, C., Yuan, Z., Ma, X., Yang, H., Wang, P., Zheng, L., Zhang, Y., & Liu, X. (2021). Accessible chromatin regions and their functional interrelations with gene transcription and epigenetic modifications in sorghum genome. Plant Communications, 2, 100140. 10.1016/j.xplc.2020.100140 33511349 PMC7816095 · DOI
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Whole-Genome Alignment: Methods, Challenges, and Future Directions
Saada, B., Zhang, T., Siga, E., Zhang, J., & Magalhães Muniz, M. M. (2024) · Applied Sciences · doi:10.3390/app14114837 · Cited by 15 · see citing works
- Authors
- Wu, Y., Johnson, L., Song, B., Romay, C., Stitzer, M., Siepel, A., Buckler, E., & Scheben, A.
- Affiliations
- Cornell University (US)
- Institute for Genomic Diversity Cornell Univ. Ithaca NY 14853 USA
- Cold Spring Harbor Laboratory (US)
- Agricultural Research Service (US)
- Corresponding author
- Scheben, Armin
- ORCID
- Venue
- The Plant Genome
- Publisher
- Wiley
- Published
- 2022-04-13
- Volume
- 15
- Issue
- 2
- Pages
- e20204-e20204
- ISSN
- 1940-3372 (ISSN-L)
- PMC
- PMC12807243
- OpenAlex
- W4223521963
- Cited by
- 10
- References
- 3
- Citations by year
- 2025: 1 · 2024: 5 · 2023: 3 · 2022: 1
- FWCI
- 0.82
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- The Plant Genome (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Natural Science Foundation of China (32102376)
- National Science Foundation (IOS‐1822330, PRFB 1907343)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Chromosomal and Genetic Variations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genome Rearrangement Algorithms
- Keywords
- multiple sequence alignment, plant genome, repeat masking, conservation scores, grass genome, genome assembly, non-coding regions, comparative genomics
- MeSH terms
- Base Sequence, Genome, Plant, Genomics, Workflow
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