Evidence map›Paper›PMID 36432770›Full record

ReviewPlants (Basel, Switzerland)2022

Legume Pangenome: Status and Scope for Crop Improvement.

Uday Chand Jha, Harsh Nayyar, Eric J B von Wettberg, Yogesh Dashrath Naik, Mahendar Thudi, Kadambot H M Siddique

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Uday Chand JhaIndian Institute of Pulses Research, Kanpur 208024, India.ORCID 0000-0002-3624-8820
Harsh NayyarDepartment of Botany, Panjab University, Chandigarh 160014, India.
Eric J B von WettbergDepartment and Plant and Soil Science, Gund Institute for the Environment, The University of Vermont, Burlington, VT 05405, USA.ORCID 0000-0002-2724-0317
Yogesh Dashrath NaikDepartment of Agricultural Biotechnology and Molecular Biology, Dr. Rajendra Prasad Central Agricultural University, Pusa 848125, India.ORCID 0000-0002-4336-9364
Mahendar ThudiDepartment of Agricultural Biotechnology and Molecular Biology, Dr. Rajendra Prasad Central Agricultural University, Pusa 848125, India.ORCID 0000-0003-2851-6837
Kadambot H M SiddiqueThe UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6001, Australia.ORCID 0000-0001-6097-4235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decade, legume genomics research has seen a paradigm shift due to advances in genome sequencing technologies, assembly algorithms, and computational genomics that enabled the construction of high-quality reference genome assemblies of major legume crops. These advances have certainly facilitated the identification of novel genetic variants underlying the traits of agronomic importance in many legume crops. Furthermore, these robust sequencing technologies have allowed us to study structural variations across the whole genome in multiple individuals and at the species level using 'pangenome analysis.' This review updates the progress of constructing pangenome assemblies for various legume crops and discusses the prospects for these pangenomes and how to harness the information to improve various traits of economic importance through molecular breeding to increase genetic gain in legumes and tackle the increasing global food crisis.

Indexed as

crop domesticationgenegenome sequencelegumespangenomestructural variation

Identifiers

PMID36432770
PMCPMC9696634

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.